TF2_0_working_with_tabular_data.ipynb

{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "name": "TF2.0_working_with_tabular_data.ipynb",
      "provenance": [],
      "collapsed_sections": []
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    }
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "YR2fDpjacMj4"
      },
      "source": [
        "[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/drive/1_FXJFrvl7oUVtbtIBT34phNe9lIBZhyB?usp=sharing)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "oWfWFm2edyMG"
      },
      "source": [
        "# Working with tabular data"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "7lDPHYy1jDVe"
      },
      "source": [
        "## Titanic dataset download and overview"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "q4TSFfeDEUhs"
      },
      "source": [
        "import tensorflow as tf\n",
        "import pandas as pd\n",
        "from tensorflow.keras import layers\n",
        "from sklearn.model_selection import train_test_split\n",
        "from tensorflow.keras.layers.experimental import preprocessing"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "7H4zLwvSR0PX"
      },
      "source": [
        "pd.set_option('max_rows', 10000)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "kBRqQw_sV2YD"
      },
      "source": [
        "### Overview"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "26BrsMaPEbdQ",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "687fdc0f-9c70-409d-e34a-cfac6d98b4ae"
      },
      "source": [
        "TRAIN_DATA_URL = \"https://storage.googleapis.com/tf-datasets/titanic/train.csv\"\n",
        "TEST_DATA_URL = \"https://storage.googleapis.com/tf-datasets/titanic/eval.csv\"\n",
        "\n",
        "train_file_path = tf.keras.utils.get_file(\"train.csv\", TRAIN_DATA_URL)\n",
        "test_file_path = tf.keras.utils.get_file(\"eval.csv\", TEST_DATA_URL)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Downloading data from https://storage.googleapis.com/tf-datasets/titanic/train.csv\n",
            "32768/30874 [===============================] - 0s 0us/step\n",
            "40960/30874 [=======================================] - 0s 0us/step\n",
            "Downloading data from https://storage.googleapis.com/tf-datasets/titanic/eval.csv\n",
            "16384/13049 [=====================================] - 0s 0us/step\n",
            "24576/13049 [========================================================] - 0s 0us/step\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "-W8FbkLNEw8-",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "9dbd31ad-de91-43fd-83f3-479f3bc13bfb"
      },
      "source": [
        "!head {train_file_path}"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "survived,sex,age,n_siblings_spouses,parch,fare,class,deck,embark_town,alone\n",
            "0,male,22.0,1,0,7.25,Third,unknown,Southampton,n\n",
            "1,female,38.0,1,0,71.2833,First,C,Cherbourg,n\n",
            "1,female,26.0,0,0,7.925,Third,unknown,Southampton,y\n",
            "1,female,35.0,1,0,53.1,First,C,Southampton,n\n",
            "0,male,28.0,0,0,8.4583,Third,unknown,Queenstown,y\n",
            "0,male,2.0,3,1,21.075,Third,unknown,Southampton,n\n",
            "1,female,27.0,0,2,11.1333,Third,unknown,Southampton,n\n",
            "1,female,14.0,1,0,30.0708,Second,unknown,Cherbourg,n\n",
            "1,female,4.0,1,1,16.7,Third,G,Southampton,n\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "fNRX--QoVsrt"
      },
      "source": [
        "About the dataset\n",
        "- Each row corresponds to a passenger.\n",
        "- Contains attributes for each passenger - their age, gender, the class they travelled on, how much they paid for their fares, which deck they are on (A-G), which town they got onto the Titanic"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "3y9QB00VjsZT"
      },
      "source": [
        "## Data preparation and exploratory analysis\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "sV1kd4abU9pG"
      },
      "source": [
        "### Split the dataframe into train, validation and test"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "doSO6pCAFQ7a"
      },
      "source": [
        "train = pd.read_csv(train_file_path)\n",
        "test = pd.read_csv(test_file_path)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "FA-QbTffVB0_"
      },
      "source": [
        "test, val = train_test_split(test, test_size=0.5)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "YUnPa4snVBys",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "f862dd47-6717-42ff-9d7a-7ea1402c7530"
      },
      "source": [
        "print(len(train), 'train examples')\n",
        "print(len(val), 'validation examples')\n",
        "print(len(test), 'test examples')"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "627 train examples\n",
            "132 validation examples\n",
            "132 test examples\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "GlmYgG26enYS"
      },
      "source": [
        "### Exploratory analysis"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 282
        },
        "id": "f0PevNpGqc8j",
        "outputId": "4739f834-9760-48b3-8a5f-97a9fe1ccb34"
      },
      "source": [
        "train.age.hist(bins=25)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7fe912547350>"
            ]
          },
          "metadata": {},
          "execution_count": 8
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 282
        },
        "id": "g-8LsJrsrDwu",
        "outputId": "6f13a461-7f61-447b-9e63-d81a82f8c248"
      },
      "source": [
        "train.sex.value_counts().plot(kind='barh')"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7fe912460dd0>"
            ]
          },
          "metadata": {},
          "execution_count": 9
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 282
        },
        "id": "vwqldTMArIs7",
        "outputId": "f1078aca-24e4-4473-e3db-3ec41b635365"
      },
      "source": [
        "train['class'].value_counts().plot(kind='barh')"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7fe911ef9ad0>"
            ]
          },
          "metadata": {},
          "execution_count": 10
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 296
        },
        "id": "XcvcR5MBrRJC",
        "outputId": "8462e562-3f62-4685-ac43-3f2344bbec72"
      },
      "source": [
        "train.groupby('sex').survived.mean().plot(kind='barh').set_xlabel('% survived')"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Text(0.5, 0, '% survived')"
            ]
          },
          "metadata": {},
          "execution_count": 11
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ukAk51aLs_nS",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 268
        },
        "outputId": "0160185c-ab42-45c8-ec43-4f864f7fbd7c"
      },
      "source": [
        "train[(train.age < 18) & (train['class'] == 'First')]"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>survived</th>\n",
              "      <th>sex</th>\n",
              "      <th>age</th>\n",
              "      <th>n_siblings_spouses</th>\n",
              "      <th>parch</th>\n",
              "      <th>fare</th>\n",
              "      <th>class</th>\n",
              "      <th>deck</th>\n",
              "      <th>embark_town</th>\n",
              "      <th>alone</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>221</th>\n",
              "      <td>1</td>\n",
              "      <td>female</td>\n",
              "      <td>17.0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>108.9000</td>\n",
              "      <td>First</td>\n",
              "      <td>C</td>\n",
              "      <td>Cherbourg</td>\n",
              "      <td>n</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>315</th>\n",
              "      <td>1</td>\n",
              "      <td>female</td>\n",
              "      <td>14.0</td>\n",
              "      <td>1</td>\n",
              "      <td>2</td>\n",
              "      <td>120.0000</td>\n",
              "      <td>First</td>\n",
              "      <td>B</td>\n",
              "      <td>Southampton</td>\n",
              "      <td>n</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>395</th>\n",
              "      <td>1</td>\n",
              "      <td>male</td>\n",
              "      <td>17.0</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>110.8833</td>\n",
              "      <td>First</td>\n",
              "      <td>C</td>\n",
              "      <td>Cherbourg</td>\n",
              "      <td>n</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>489</th>\n",
              "      <td>1</td>\n",
              "      <td>female</td>\n",
              "      <td>15.0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>211.3375</td>\n",
              "      <td>First</td>\n",
              "      <td>B</td>\n",
              "      <td>Southampton</td>\n",
              "      <td>n</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>547</th>\n",
              "      <td>1</td>\n",
              "      <td>female</td>\n",
              "      <td>17.0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>57.0000</td>\n",
              "      <td>First</td>\n",
              "      <td>B</td>\n",
              "      <td>Southampton</td>\n",
              "      <td>n</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>565</th>\n",
              "      <td>1</td>\n",
              "      <td>male</td>\n",
              "      <td>11.0</td>\n",
              "      <td>1</td>\n",
              "      <td>2</td>\n",
              "      <td>120.0000</td>\n",
              "      <td>First</td>\n",
              "      <td>B</td>\n",
              "      <td>Southampton</td>\n",
              "      <td>n</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>601</th>\n",
              "      <td>1</td>\n",
              "      <td>female</td>\n",
              "      <td>16.0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>39.4000</td>\n",
              "      <td>First</td>\n",
              "      <td>D</td>\n",
              "      <td>Southampton</td>\n",
              "      <td>n</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "     survived     sex   age  n_siblings_spouses  ...  class  deck  embark_town alone\n",
              "221         1  female  17.0                   1  ...  First     C    Cherbourg     n\n",
              "315         1  female  14.0                   1  ...  First     B  Southampton     n\n",
              "395         1    male  17.0                   0  ...  First     C    Cherbourg     n\n",
              "489         1  female  15.0                   0  ...  First     B  Southampton     n\n",
              "547         1  female  17.0                   1  ...  First     B  Southampton     n\n",
              "565         1    male  11.0                   1  ...  First     B  Southampton     n\n",
              "601         1  female  16.0                   0  ...  First     D  Southampton     n\n",
              "\n",
              "[7 rows x 10 columns]"
            ]
          },
          "metadata": {},
          "execution_count": 12
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "2K_3EWaAv49k"
      },
      "source": [
        "## Big picture\n",
        "Compare FashionMNIST with Titanic model"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "-L4KI8s-55fB"
      },
      "source": [
        "### Model architecture\n",
        "Fashion MNIST"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "G5KDGdVLqT6n"
      },
      "source": [
        "![Fashion MNIST](https://drive.google.com/uc?id=1agv0HpjsUfb1E4Hgcs_rIldhcV90NiOK)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "rrZnRSCy5PfK"
      },
      "source": [
        "### model build"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "vo6fJdJT3fn8"
      },
      "source": [
        "# FashionMNIST\n",
        "# model = tf.keras.Sequential([\n",
        "#  tf.keras.layers.Flatten(input_shape=(28, 28)),                           \n",
        "#  tf.keras.layers.Dense(128, activation='relu'), \n",
        "#  tf.keras.layers.Dense(64, activation='relu'),                              \n",
        "#  tf.keras.layers.Dense(10),                             \n",
        "#  ])"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "r3bgiRZp5Cd6"
      },
      "source": [
        "# Titanic\n",
        "# all_features = tf.keras.layers.concatenate(encoded_features)\n",
        "# x = tf.keras.layers.Dense(128, activation=\"relu\")(all_features)\n",
        "# x = tf.keras.layers.Dense(64, activation=\"relu\")(x)\n",
        "# x = tf.keras.layers.Dropout(0.1)(x)\n",
        "# output = tf.keras.layers.Dense(1)(x)\n",
        "\n",
        "# model = tf.keras.Model(all_inputs, output)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "1NXjMz1d5TuX"
      },
      "source": [
        "### model - compile"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "7jzTWeqt6Epw"
      },
      "source": [
        "# FashionMNIST\n",
        "# model.compile(optimizer='adam',\n",
        "#              loss=tf.keras.losses.SparseCategoricalCrossentropy(from_logits=True),\n",
        "#              metrics=['accuracy'])"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "QogrR5ry5j2y"
      },
      "source": [
        "# Titanic\n",
        "# model.compile(optimizer='adam',\n",
        "#              loss=tf.keras.losses.BinaryCrossentropy(from_logits=True),\n",
        "#              metrics=[\"accuracy\"])"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "VewxvOxu6ZeQ"
      },
      "source": [
        "### Model - fit"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "eEtSJVCi7Zou"
      },
      "source": [
        "# FashionMNIST\n",
        "# model.fit(train_images, train_labels, epochs=10, batch_size=64, validation_split=0.1)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "tMHbmz6n7kWM"
      },
      "source": [
        "# Titanic\n",
        "# model.fit(train_ds, validation_data=val_ds, epochs=10)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "C_7uVu-xyEqv"
      },
      "source": [
        "## tf.data API\n",
        "\n"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "NGK3D4xqDq1s",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "6db75f81-464d-4300-c289-8f88ac8d2e54"
      },
      "source": [
        "help(tf.data.Dataset.from_tensor_slices)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Help on function from_tensor_slices in module tensorflow.python.data.ops.dataset_ops:\n",
            "\n",
            "from_tensor_slices(tensors, name=None)\n",
            "    Creates a `Dataset` whose elements are slices of the given tensors.\n",
            "    \n",
            "    The given tensors are sliced along their first dimension. This operation\n",
            "    preserves the structure of the input tensors, removing the first dimension\n",
            "    of each tensor and using it as the dataset dimension. All input tensors\n",
            "    must have the same size in their first dimensions.\n",
            "    \n",
            "    >>> # Slicing a 1D tensor produces scalar tensor elements.\n",
            "    >>> dataset = tf.data.Dataset.from_tensor_slices([1, 2, 3])\n",
            "    >>> list(dataset.as_numpy_iterator())\n",
            "    [1, 2, 3]\n",
            "    \n",
            "    >>> # Slicing a 2D tensor produces 1D tensor elements.\n",
            "    >>> dataset = tf.data.Dataset.from_tensor_slices([[1, 2], [3, 4]])\n",
            "    >>> list(dataset.as_numpy_iterator())\n",
            "    [array([1, 2], dtype=int32), array([3, 4], dtype=int32)]\n",
            "    \n",
            "    >>> # Slicing a tuple of 1D tensors produces tuple elements containing\n",
            "    >>> # scalar tensors.\n",
            "    >>> dataset = tf.data.Dataset.from_tensor_slices(([1, 2], [3, 4], [5, 6]))\n",
            "    >>> list(dataset.as_numpy_iterator())\n",
            "    [(1, 3, 5), (2, 4, 6)]\n",
            "    \n",
            "    >>> # Dictionary structure is also preserved.\n",
            "    >>> dataset = tf.data.Dataset.from_tensor_slices({\"a\": [1, 2], \"b\": [3, 4]})\n",
            "    >>> list(dataset.as_numpy_iterator()) == [{'a': 1, 'b': 3},\n",
            "    ...                                       {'a': 2, 'b': 4}]\n",
            "    True\n",
            "    \n",
            "    >>> # Two tensors can be combined into one Dataset object.\n",
            "    >>> features = tf.constant([[1, 3], [2, 1], [3, 3]]) # ==> 3x2 tensor\n",
            "    >>> labels = tf.constant(['A', 'B', 'A']) # ==> 3x1 tensor\n",
            "    >>> dataset = Dataset.from_tensor_slices((features, labels))\n",
            "    >>> # Both the features and the labels tensors can be converted\n",
            "    >>> # to a Dataset object separately and combined after.\n",
            "    >>> features_dataset = Dataset.from_tensor_slices(features)\n",
            "    >>> labels_dataset = Dataset.from_tensor_slices(labels)\n",
            "    >>> dataset = Dataset.zip((features_dataset, labels_dataset))\n",
            "    >>> # A batched feature and label set can be converted to a Dataset\n",
            "    >>> # in similar fashion.\n",
            "    >>> batched_features = tf.constant([[[1, 3], [2, 3]],\n",
            "    ...                                 [[2, 1], [1, 2]],\n",
            "    ...                                 [[3, 3], [3, 2]]], shape=(3, 2, 2))\n",
            "    >>> batched_labels = tf.constant([['A', 'A'],\n",
            "    ...                               ['B', 'B'],\n",
            "    ...                               ['A', 'B']], shape=(3, 2, 1))\n",
            "    >>> dataset = Dataset.from_tensor_slices((batched_features, batched_labels))\n",
            "    >>> for element in dataset.as_numpy_iterator():\n",
            "    ...   print(element)\n",
            "    (array([[1, 3],\n",
            "           [2, 3]], dtype=int32), array([[b'A'],\n",
            "           [b'A']], dtype=object))\n",
            "    (array([[2, 1],\n",
            "           [1, 2]], dtype=int32), array([[b'B'],\n",
            "           [b'B']], dtype=object))\n",
            "    (array([[3, 3],\n",
            "           [3, 2]], dtype=int32), array([[b'A'],\n",
            "           [b'B']], dtype=object))\n",
            "    \n",
            "    Note that if `tensors` contains a NumPy array, and eager execution is not\n",
            "    enabled, the values will be embedded in the graph as one or more\n",
            "    `tf.constant` operations. For large datasets (> 1 GB), this can waste\n",
            "    memory and run into byte limits of graph serialization. If `tensors`\n",
            "    contains one or more large NumPy arrays, consider the alternative described\n",
            "    in [this guide](\n",
            "    https://tensorflow.org/guide/data#consuming_numpy_arrays).\n",
            "    \n",
            "    Args:\n",
            "      tensors: A dataset element, whose components have the same first\n",
            "        dimension. Supported values are documented\n",
            "        [here](https://www.tensorflow.org/guide/data#dataset_structure).\n",
            "      name: (Optional.) A name for the tf.data operation.\n",
            "    \n",
            "    Returns:\n",
            "      Dataset: A `Dataset`.\n",
            "\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "h_UiUpOBEcam"
      },
      "source": [
        "The TensorFlow 2.0 Documentation has more information about [tf.data.Dataset](https://www.tensorflow.org/api_docs/python/tf/data/Dataset) and [tf.data.Dataset.from_tensor_slices](https://www.tensorflow.org/api_docs/python/tf/data/Dataset#from_tensor_slices) if you want to find out more."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "hDpiOf8dCVIs",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "0707c0c9-aff3-4d5f-d5d5-9c3db6f00ebf"
      },
      "source": [
        "dataframe = train.copy()\n",
        "\n",
        "ds = tf.data.Dataset.from_tensor_slices((dict(dataframe), dataframe.pop('survived')))\n",
        "for item in ds:\n",
        "  print(item)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=22.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=7.25>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'n'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'female'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=38.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=71.2833>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'First'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'C'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Cherbourg'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'n'>}, <tf.Tensor: shape=(), dtype=int64, numpy=1>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'female'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=26.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=7.925>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=1>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'female'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=35.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=53.1>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'First'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'C'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'n'>}, <tf.Tensor: shape=(), dtype=int64, numpy=1>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=28.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=8.4583>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Queenstown'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=2.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=3>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=21.075>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'n'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'female'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=27.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=2>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=11.1333>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'n'>}, <tf.Tensor: shape=(), dtype=int64, numpy=1>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'female'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=14.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=30.0708>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Second'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Cherbourg'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'n'>}, <tf.Tensor: shape=(), dtype=int64, numpy=1>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'female'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=4.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=16.7>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'G'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'n'>}, <tf.Tensor: shape=(), dtype=int64, numpy=1>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=20.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=8.05>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=39.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=5>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=31.275>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'n'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'female'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=14.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=7.8542>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=2.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=4>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=29.125>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Queenstown'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'n'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=28.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=13.0>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Second'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=1>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'female'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=31.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=18.0>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'n'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'female'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=28.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=7.225>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Cherbourg'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=1>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=35.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=26.0>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Second'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=28.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=35.5>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'First'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'A'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=1>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'female'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=38.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=5>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=31.3875>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'n'>}, <tf.Tensor: shape=(), dtype=int64, numpy=1>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=28.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=7.225>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Cherbourg'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=19.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=3>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=2>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=263.0>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'First'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'C'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'n'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'female'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=28.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=7.8792>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Queenstown'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=1>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=28.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=7.8958>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=40.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=27.7208>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'First'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Cherbourg'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'female'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=28.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=146.5208>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'First'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'B'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Cherbourg'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'n'>}, <tf.Tensor: shape=(), dtype=int64, numpy=1>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'female'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=28.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=7.75>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Queenstown'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=1>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=66.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=10.5>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Second'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=28.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=82.1708>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'First'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Cherbourg'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'n'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=42.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=52.0>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'First'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'n'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=28.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=7.2292>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Cherbourg'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=1>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'female'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=14.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=11.2417>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Cherbourg'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'n'>}, <tf.Tensor: shape=(), dtype=int64, numpy=1>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'female'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=40.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=9.475>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'n'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'female'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=27.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=21.0>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Second'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'n'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=28.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=7.8958>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Cherbourg'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'female'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=3.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=2>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=41.5792>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Second'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Cherbourg'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'n'>}, <tf.Tensor: shape=(), dtype=int64, numpy=1>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=28.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=8.05>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=28.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=15.5>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Queenstown'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'n'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=28.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=2>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=21.6792>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Cherbourg'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'n'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'female'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=18.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=17.8>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'n'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=7.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=4>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=39.6875>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'n'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'female'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=49.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=76.7292>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'First'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'D'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Cherbourg'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'n'>}, <tf.Tensor: shape=(), dtype=int64, numpy=1>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'female'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=29.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=26.0>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Second'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'n'>}, <tf.Tensor: shape=(), dtype=int64, numpy=1>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=65.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=61.9792>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'First'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'B'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Cherbourg'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'n'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=28.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=35.5>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'First'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'C'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=1>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'female'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=21.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=10.5>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Second'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=1>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=28.5>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=7.2292>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Cherbourg'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=11.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=5>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=2>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=46.9>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'n'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=22.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=7.2292>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Cherbourg'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'female'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=38.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=80.0>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'First'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'B'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=1>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=45.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=83.475>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'First'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'C'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'n'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=4.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=3>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=2>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=27.9>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'n'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=28.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=15.2458>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Cherbourg'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'n'>}, <tf.Tensor: shape=(), dtype=int64, numpy=1>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=19.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=8.1583>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'female'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=17.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=4>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=2>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=7.925>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'n'>}, <tf.Tensor: shape=(), dtype=int64, numpy=1>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=26.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=2>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=8.6625>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'n'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=32.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=10.5>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Second'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=21.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=73.5>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Second'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=32.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=56.4958>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=1>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=25.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=7.65>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'F'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=28.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=7.8958>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=28.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=8.05>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=0.83>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=2>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=29.0>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Second'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'n'>}, <tf.Tensor: shape=(), dtype=int64, numpy=1>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'female'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=30.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=12.475>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=1>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=22.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=9.0>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=29.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=9.5>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=1>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'female'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=28.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=7.7875>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Queenstown'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=1>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=28.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=47.1>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'First'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=16.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=3>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=34.375>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'n'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=28.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=8.05>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'female'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=23.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=3>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=2>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=263.0>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'First'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'C'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'n'>}, <tf.Tensor: shape=(), dtype=int64, numpy=1>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=24.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=8.05>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=46.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=61.175>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'First'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'E'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'n'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=59.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=7.25>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=28.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=8.05>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=71.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=34.6542>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'First'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'A'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Cherbourg'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=23.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=63.3583>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'First'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'D'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Cherbourg'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'n'>}, <tf.Tensor: shape=(), dtype=int64, numpy=1>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'female'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=34.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=23.0>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Second'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'n'>}, <tf.Tensor: shape=(), dtype=int64, numpy=1>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=34.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=26.0>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Second'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'n'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'female'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=28.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=7.8958>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=28.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=7.8958>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=21.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=77.2875>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'First'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'D'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'n'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=33.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=8.6542>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=37.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=2>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=7.925>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'n'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=28.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=7.8958>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=28.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=7.775>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=1>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'female'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=28.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=24.15>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Queenstown'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'n'>}, <tf.Tensor: shape=(), dtype=int64, numpy=1>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=47.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=52.0>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'First'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'C'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'female'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=14.5>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=14.4542>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Cherbourg'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'n'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=22.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=8.05>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'female'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=17.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=14.4583>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Cherbourg'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=21.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=7.925>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=70.5>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=7.75>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Queenstown'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=29.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=21.0>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Second'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'n'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=24.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=247.5208>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'First'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'B'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Cherbourg'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'n'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=28.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=8.05>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=32.5>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=30.0708>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Second'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Cherbourg'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'n'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'female'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=32.5>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=13.0>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Second'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'E'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=1>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=28.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=7.75>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Queenstown'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=24.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=7.1417>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=1>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=45.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=6.975>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=20.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=7.05>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'female'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=47.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=14.5>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'n'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=23.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=15.0458>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Second'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Cherbourg'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'female'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=19.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=2>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=26.2833>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'First'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'D'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'n'>}, <tf.Tensor: shape=(), dtype=int64, numpy=1>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=37.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=53.1>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'First'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'C'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'n'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=16.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=9.2167>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=24.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=79.2>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'First'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'B'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Cherbourg'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'female'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=28.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=2>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=15.2458>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Cherbourg'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'n'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'female'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=22.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=7.75>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=1>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=19.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=6.75>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Queenstown'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=18.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=11.5>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Second'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'female'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=9.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=2>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=2>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=34.375>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'n'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=51.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=12.525>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Second'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=55.5>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=8.05>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=40.5>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=2>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=14.5>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'n'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=28.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=7.3125>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=51.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=61.3792>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'First'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Cherbourg'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'n'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'female'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=16.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=7.7333>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Queenstown'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=1>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=28.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=8.6625>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=28.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=8>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=2>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=69.55>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'n'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=44.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=16.1>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'n'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=26.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=7.775>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=17.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=8.6625>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=1.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=4>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=39.6875>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'n'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'female'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=28.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=55.0>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'First'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'E'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'n'>}, <tf.Tensor: shape=(), dtype=int64, numpy=1>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=28.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=56.4958>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=4.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=4>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=29.125>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Queenstown'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'n'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=18.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=7.8542>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'n'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=28.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=3>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=25.4667>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'n'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'female'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=50.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=28.7125>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'First'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'C'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Cherbourg'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=30.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=13.0>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Second'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=36.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=0.0>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'female'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=28.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=8>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=2>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=69.55>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'n'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=28.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=15.05>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Second'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Cherbourg'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=9.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=4>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=2>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=31.3875>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'n'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'female'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=4.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=2>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=22.025>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'n'>}, <tf.Tensor: shape=(), dtype=int64, numpy=1>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'female'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=28.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=15.5>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Queenstown'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'n'>}, <tf.Tensor: shape=(), dtype=int64, numpy=1>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=45.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=26.55>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'First'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=1>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=36.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=7.8958>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'female'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=32.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=13.0>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Second'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=1>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'female'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=19.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=7.8542>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'n'>}, <tf.Tensor: shape=(), dtype=int64, numpy=1>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=3.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=26.0>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Second'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'F'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'n'>}, <tf.Tensor: shape=(), dtype=int64, numpy=1>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'female'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=44.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=27.7208>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'First'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'B'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Cherbourg'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=1>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'female'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=58.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=146.5208>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'First'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'B'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Cherbourg'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=1>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=28.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=7.75>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Queenstown'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'female'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=28.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=7.75>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Queenstown'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=1>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'female'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=24.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=13.0>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Second'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=28.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=9.5>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=28.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=8>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=2>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=69.55>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'n'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=34.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=6.4958>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'female'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=2.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=10.4625>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'G'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'n'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=32.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=15.85>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'n'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=26.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=18.7875>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Cherbourg'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=1>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'female'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=16.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=7.75>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Queenstown'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=1>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=40.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=31.0>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'First'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'A'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Cherbourg'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=1>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'female'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=35.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=21.0>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Second'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=1>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=22.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=7.25>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=28.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=7.75>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Queenstown'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'n'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'female'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=31.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=113.275>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'First'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'D'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Cherbourg'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'n'>}, <tf.Tensor: shape=(), dtype=int64, numpy=1>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'female'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=27.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=7.925>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=1>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=42.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=27.0>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Second'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'n'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=30.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=10.5>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Second'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=16.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=8.05>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=1>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=51.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=8.05>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=22.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=9.35>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=19.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=10.5>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Second'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=1>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=20.5>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=7.25>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=18.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=13.0>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Second'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'female'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=28.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=3>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=25.4667>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'n'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'female'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=35.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=83.475>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'First'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'C'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'n'>}, <tf.Tensor: shape=(), dtype=int64, numpy=1>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=29.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=7.775>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=59.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=13.5>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Second'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'female'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=28.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=7.55>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=44.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=26.0>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Second'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'n'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=19.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=10.5>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Second'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=33.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=12.275>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Second'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'female'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=28.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=14.4542>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Cherbourg'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'n'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'female'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=28.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=15.5>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Queenstown'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'n'>}, <tf.Tensor: shape=(), dtype=int64, numpy=1>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=22.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=7.125>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=30.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=7.225>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Cherbourg'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=44.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=2>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=90.0>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'First'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'C'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Queenstown'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'n'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'female'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=24.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=2>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=14.5>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Second'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'n'>}, <tf.Tensor: shape=(), dtype=int64, numpy=1>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=28.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=7.25>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'female'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=29.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=10.4625>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'G'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'n'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=30.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=16.1>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'n'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'female'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=41.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=2>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=20.2125>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'n'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'female'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=28.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=79.2>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'First'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Cherbourg'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=1>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'female'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=35.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=512.3292>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'First'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Cherbourg'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=1>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'female'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=50.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=26.0>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Second'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'n'>}, <tf.Tensor: shape=(), dtype=int64, numpy=1>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=28.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=7.75>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Queenstown'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=3.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=4>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=2>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=31.3875>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'n'>}, <tf.Tensor: shape=(), dtype=int64, numpy=1>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=40.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=0.0>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'First'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'B'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'female'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=28.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=7.75>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Queenstown'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=36.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=10.5>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Second'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=16.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=4>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=39.6875>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'n'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=25.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=7.775>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'n'>}, <tf.Tensor: shape=(), dtype=int64, numpy=1>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'female'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=58.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=153.4625>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'First'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'C'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'n'>}, <tf.Tensor: shape=(), dtype=int64, numpy=1>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'female'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=35.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=135.6333>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'First'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'C'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=1>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=28.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=31.0>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'First'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=25.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=0.0>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=1>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'female'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=41.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=19.5>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Second'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'n'>}, <tf.Tensor: shape=(), dtype=int64, numpy=1>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=37.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=29.7>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'First'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'C'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Cherbourg'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'n'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'female'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=28.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=7.75>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Queenstown'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=1>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'female'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=63.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=77.9583>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'First'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'D'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'n'>}, <tf.Tensor: shape=(), dtype=int64, numpy=1>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'female'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=45.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=7.75>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=28.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=0.0>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Second'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=7.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=4>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=29.125>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Queenstown'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'n'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'female'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=35.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=20.25>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'n'>}, <tf.Tensor: shape=(), dtype=int64, numpy=1>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=28.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=7.8542>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=16.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=9.5>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=28.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=26.0>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'First'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'A'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'female'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=26.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=78.85>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'First'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=1>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=36.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=12.875>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Second'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'D'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Cherbourg'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=24.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=7.8958>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=28.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=30.5>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'First'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'C'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=1>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'female'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=50.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=247.5208>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'First'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'B'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Cherbourg'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'n'>}, <tf.Tensor: shape=(), dtype=int64, numpy=1>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'female'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=28.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=7.75>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Queenstown'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=1>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=19.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=0.0>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'female'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=28.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=12.35>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Second'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'E'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Queenstown'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=1>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=28.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=8.05>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'female'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=28.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=110.8833>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'First'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Cherbourg'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=1>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'female'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=17.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=108.9>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'First'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'C'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Cherbourg'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'n'>}, <tf.Tensor: shape=(), dtype=int64, numpy=1>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=30.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=24.0>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Second'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Cherbourg'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'n'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'female'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=30.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=56.9292>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'First'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'E'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Cherbourg'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=1>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'female'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=24.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=83.1583>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'First'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'C'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Cherbourg'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=1>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'female'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=18.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=2>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=2>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=262.375>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'First'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'B'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Cherbourg'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'n'>}, <tf.Tensor: shape=(), dtype=int64, numpy=1>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'female'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=26.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=26.0>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Second'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'n'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=28.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=7.8958>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=43.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=26.25>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Second'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'n'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'female'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=24.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=26.0>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Second'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'n'>}, <tf.Tensor: shape=(), dtype=int64, numpy=1>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'female'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=31.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=2>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=164.8667>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'First'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'C'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'n'>}, <tf.Tensor: shape=(), dtype=int64, numpy=1>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'female'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=40.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=134.5>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'First'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'E'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Cherbourg'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'n'>}, <tf.Tensor: shape=(), dtype=int64, numpy=1>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=22.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=7.25>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=27.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=7.8958>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'female'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=22.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=29.0>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Second'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'n'>}, <tf.Tensor: shape=(), dtype=int64, numpy=1>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=28.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=8>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=2>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=69.55>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'n'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'female'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=36.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=135.6333>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'First'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'C'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Cherbourg'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=1>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=61.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=6.2375>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'female'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=31.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=20.525>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'n'>}, <tf.Tensor: shape=(), dtype=int64, numpy=1>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'female'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=28.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=2>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=23.25>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Queenstown'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'n'>}, <tf.Tensor: shape=(), dtype=int64, numpy=1>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=38.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=153.4625>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'First'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'C'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'n'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'female'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=28.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=133.65>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'First'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'n'>}, <tf.Tensor: shape=(), dtype=int64, numpy=1>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=28.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=7.8958>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=29.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=66.6>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'First'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'C'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'n'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=45.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=8.05>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=1>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=45.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=35.5>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'First'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=28.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=13.0>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Second'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=25.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=13.0>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Second'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=36.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=13.0>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Second'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'female'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=24.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=13.0>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Second'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'F'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=1>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'female'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=40.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=13.0>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Second'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=1>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'female'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=28.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=16.1>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'n'>}, <tf.Tensor: shape=(), dtype=int64, numpy=1>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=15.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=7.2292>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Cherbourg'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'n'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=25.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=17.8>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'n'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=28.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=7.225>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Cherbourg'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=28.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=9.5>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'female'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=22.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=55.0>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'First'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'E'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'n'>}, <tf.Tensor: shape=(), dtype=int64, numpy=1>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'female'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=38.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=13.0>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Second'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'female'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=28.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=7.8792>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Queenstown'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=1>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'female'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=28.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=7.8792>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Queenstown'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=1>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=40.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=4>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=27.9>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'n'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=29.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=27.7208>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Second'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Cherbourg'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'n'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'female'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=45.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=14.4542>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Cherbourg'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'n'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=35.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=7.05>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=28.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=15.5>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Queenstown'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'n'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'female'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=60.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=75.25>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'First'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'D'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Cherbourg'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'n'>}, <tf.Tensor: shape=(), dtype=int64, numpy=1>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'female'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=28.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=7.2292>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Cherbourg'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=1>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'female'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=28.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=7.75>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Queenstown'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=1>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'female'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=24.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=69.3>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'First'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'B'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Cherbourg'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=1>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=18.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=6.4958>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'n'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=19.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=8.05>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'female'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=28.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=82.1708>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'First'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Cherbourg'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'n'>}, <tf.Tensor: shape=(), dtype=int64, numpy=1>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=27.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=2>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=211.5>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'First'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'C'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Cherbourg'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'n'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=19.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=7.775>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'female'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=42.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=227.525>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'First'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Cherbourg'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=1>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=32.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=7.925>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=28.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=7.8958>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=18.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=73.5>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Second'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=1.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=5>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=2>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=46.9>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'n'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=28.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=7.7292>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Queenstown'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'female'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=17.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=12.0>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Second'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Cherbourg'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=1>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=36.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=2>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=120.0>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'First'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'B'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'n'>}, <tf.Tensor: shape=(), dtype=int64, numpy=1>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=21.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=7.7958>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=1>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'female'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=23.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=113.275>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'First'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'D'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Cherbourg'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'n'>}, <tf.Tensor: shape=(), dtype=int64, numpy=1>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'female'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=24.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=2>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=16.7>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'G'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'n'>}, <tf.Tensor: shape=(), dtype=int64, numpy=1>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=22.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=7.7958>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'female'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=31.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=7.8542>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=46.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=26.0>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Second'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=23.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=10.5>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Second'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=39.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=7.925>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=1>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=26.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=8.05>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=28.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=15.85>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'n'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=34.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=21.0>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Second'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'n'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=3.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=18.75>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Second'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'n'>}, <tf.Tensor: shape=(), dtype=int64, numpy=1>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=21.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=7.775>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'female'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=28.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=3>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=25.4667>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'n'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=28.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=7.8958>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=28.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=6.8583>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Queenstown'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=28.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=0.0>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Second'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=44.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=7.925>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=1>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'female'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=28.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=8.05>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'female'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=34.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=32.5>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Second'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'n'>}, <tf.Tensor: shape=(), dtype=int64, numpy=1>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'female'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=18.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=2>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=13.0>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Second'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'n'>}, <tf.Tensor: shape=(), dtype=int64, numpy=1>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=30.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=13.0>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Second'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=28.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=7.8958>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Cherbourg'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=21.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=7.7333>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Queenstown'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=18.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=20.2125>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'n'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'female'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=19.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=26.0>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Second'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=1>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=28.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=7.75>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Queenstown'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=32.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=8.05>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'E'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=1>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=28.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=26.55>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'First'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'C'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=1>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'female'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=28.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=16.1>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'n'>}, <tf.Tensor: shape=(), dtype=int64, numpy=1>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'female'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=42.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=26.0>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Second'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'n'>}, <tf.Tensor: shape=(), dtype=int64, numpy=1>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=17.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=7.125>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=50.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=55.9>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'First'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'E'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'n'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'female'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=14.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=2>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=120.0>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'First'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'B'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'n'>}, <tf.Tensor: shape=(), dtype=int64, numpy=1>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'female'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=24.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=2>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=3>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=18.75>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Second'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'n'>}, <tf.Tensor: shape=(), dtype=int64, numpy=1>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=64.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=4>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=263.0>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'First'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'C'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'n'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=31.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=10.5>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Second'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'female'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=45.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=26.25>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Second'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'n'>}, <tf.Tensor: shape=(), dtype=int64, numpy=1>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=20.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=9.5>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'female'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=28.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=13.0>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Second'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=1>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=28.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=8.1125>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=1>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=34.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=26.55>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'First'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=1>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'female'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=5.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=2>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=19.2583>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Cherbourg'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'n'>}, <tf.Tensor: shape=(), dtype=int64, numpy=1>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=52.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=30.5>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'First'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'C'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=1>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=36.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=2>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=27.75>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Second'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'n'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=30.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=27.75>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'First'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'C'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Cherbourg'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=49.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=89.1042>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'First'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'C'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Cherbourg'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'n'>}, <tf.Tensor: shape=(), dtype=int64, numpy=1>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=29.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=7.8958>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Cherbourg'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=1>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=65.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=26.55>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'First'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'E'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'female'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=28.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=51.8625>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'First'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'D'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'n'>}, <tf.Tensor: shape=(), dtype=int64, numpy=1>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=48.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=26.55>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'First'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'E'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=1>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=34.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=8.05>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=47.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=38.5>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'First'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'E'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=28.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=8.05>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=38.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=7.05>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=56.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=26.55>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'First'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=28.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=7.725>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Queenstown'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'female'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=0.75>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=2>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=19.2583>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Cherbourg'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'n'>}, <tf.Tensor: shape=(), dtype=int64, numpy=1>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=28.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=7.25>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'female'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=33.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=2>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=27.75>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Second'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'n'>}, <tf.Tensor: shape=(), dtype=int64, numpy=1>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'female'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=23.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=13.7917>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Second'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'D'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Cherbourg'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=1>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=28.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=52.0>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'First'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'A'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=34.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=21.0>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Second'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'n'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=29.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=7.0458>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'n'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'female'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=2.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=12.2875>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'n'>}, <tf.Tensor: shape=(), dtype=int64, numpy=1>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=9.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=5>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=2>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=46.9>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'n'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=28.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=0.0>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Second'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'female'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=63.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=9.5875>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=1>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=25.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=91.0792>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'First'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'B'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Cherbourg'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'n'>}, <tf.Tensor: shape=(), dtype=int64, numpy=1>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'female'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=28.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=3>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=25.4667>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'n'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'female'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=35.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=90.0>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'First'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'C'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'n'>}, <tf.Tensor: shape=(), dtype=int64, numpy=1>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=58.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=29.7>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'First'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'B'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Cherbourg'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=9.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=15.9>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'n'>}, <tf.Tensor: shape=(), dtype=int64, numpy=1>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=28.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=19.9667>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'n'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=71.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=49.5042>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'First'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Cherbourg'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=21.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=8.05>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'female'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=25.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=2>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=151.55>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'First'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'C'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'n'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=17.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=8.6625>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'female'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=21.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=7.75>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Queenstown'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'female'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=37.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=9.5875>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=18.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=108.9>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'First'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'C'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Cherbourg'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'n'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'female'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=33.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=2>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=26.0>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Second'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'n'>}, <tf.Tensor: shape=(), dtype=int64, numpy=1>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=28.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=26.55>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'First'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=1>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=26.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=56.4958>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=1>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'female'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=54.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=59.4>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'First'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Cherbourg'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'n'>}, <tf.Tensor: shape=(), dtype=int64, numpy=1>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=24.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=7.4958>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=47.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=34.0208>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'First'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'D'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'female'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=34.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=10.5>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Second'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'F'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=1>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'female'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=36.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=26.0>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Second'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'n'>}, <tf.Tensor: shape=(), dtype=int64, numpy=1>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=32.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=7.8958>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'female'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=30.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=93.5>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'First'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'B'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=1>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=22.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=7.8958>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'female'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=44.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=57.9792>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'First'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'B'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Cherbourg'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'n'>}, <tf.Tensor: shape=(), dtype=int64, numpy=1>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=28.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=7.2292>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Cherbourg'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=40.5>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=7.75>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Queenstown'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'female'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=50.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=10.5>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Second'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=1>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=28.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=221.7792>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'First'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'C'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=23.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=2>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=11.5>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Second'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'n'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'female'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=2.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=26.0>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Second'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'n'>}, <tf.Tensor: shape=(), dtype=int64, numpy=1>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=17.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=7.2292>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Cherbourg'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'n'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'female'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=28.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=2>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=22.3583>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Cherbourg'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'n'>}, <tf.Tensor: shape=(), dtype=int64, numpy=1>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'female'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=30.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=8.6625>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'female'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=7.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=2>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=26.25>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Second'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'n'>}, <tf.Tensor: shape=(), dtype=int64, numpy=1>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=45.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=26.55>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'First'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'B'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'female'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=30.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=106.425>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'First'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Cherbourg'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=1>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'female'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=22.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=2>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=49.5>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'First'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'B'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Cherbourg'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'n'>}, <tf.Tensor: shape=(), dtype=int64, numpy=1>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'female'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=36.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=2>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=71.0>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'First'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'B'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'n'>}, <tf.Tensor: shape=(), dtype=int64, numpy=1>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'female'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=9.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=4>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=2>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=31.275>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'n'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'female'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=11.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=4>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=2>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=31.275>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'n'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=50.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=106.425>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'First'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'C'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Cherbourg'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'n'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'female'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=19.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=26.0>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Second'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'n'>}, <tf.Tensor: shape=(), dtype=int64, numpy=1>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=28.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=13.8625>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Second'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Cherbourg'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=1>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=33.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=20.525>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'n'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=17.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=2>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=110.8833>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'First'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'C'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Cherbourg'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'n'>}, <tf.Tensor: shape=(), dtype=int64, numpy=1>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=27.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=26.0>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Second'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=28.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=7.8292>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Queenstown'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'female'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=22.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=7.775>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=1>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'female'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=48.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=39.6>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'First'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'A'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Cherbourg'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'n'>}, <tf.Tensor: shape=(), dtype=int64, numpy=1>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=28.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=227.525>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'First'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Cherbourg'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'female'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=39.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=79.65>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'First'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'E'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'n'>}, <tf.Tensor: shape=(), dtype=int64, numpy=1>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'female'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=36.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=17.4>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'n'>}, <tf.Tensor: shape=(), dtype=int64, numpy=1>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=28.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=7.75>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Queenstown'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=40.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=7.8958>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=28.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=8.05>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=24.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=2>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=24.15>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'n'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=19.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=7.8958>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'female'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=29.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=4>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=21.075>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'n'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=32.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=7.8542>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=1>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=62.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=10.5>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Second'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=1>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'female'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=53.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=2>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=51.4792>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'First'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'C'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'n'>}, <tf.Tensor: shape=(), dtype=int64, numpy=1>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=36.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=26.3875>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'First'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'E'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=1>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=16.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=8.05>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'female'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=34.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=13.0>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Second'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=1>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'female'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=25.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=30.0>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Second'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'n'>}, <tf.Tensor: shape=(), dtype=int64, numpy=1>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=36.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=40.125>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'First'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'A'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Cherbourg'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=47.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=15.0>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Second'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=60.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=79.2>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'First'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'B'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Cherbourg'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'n'>}, <tf.Tensor: shape=(), dtype=int64, numpy=1>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=28.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=8.05>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=35.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=7.125>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'female'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=52.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=78.2667>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'First'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'D'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Cherbourg'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'n'>}, <tf.Tensor: shape=(), dtype=int64, numpy=1>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=47.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=7.25>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'female'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=28.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=2>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=7.75>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Queenstown'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'n'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=37.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=26.0>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Second'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'n'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=36.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=24.15>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'n'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'female'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=28.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=33.0>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Second'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=1>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=49.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=0.0>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=28.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=7.225>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Cherbourg'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=49.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=56.9292>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'First'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'A'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Cherbourg'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'n'>}, <tf.Tensor: shape=(), dtype=int64, numpy=1>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=35.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=26.55>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'First'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Cherbourg'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=1>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=36.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=15.55>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'n'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=30.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=7.8958>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=27.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=30.5>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'First'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=1>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'female'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=22.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=2>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=41.5792>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Second'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Cherbourg'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'n'>}, <tf.Tensor: shape=(), dtype=int64, numpy=1>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'female'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=40.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=153.4625>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'First'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'C'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=1>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'female'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=39.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=5>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=31.275>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'n'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=28.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=7.05>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'female'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=28.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=15.5>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Queenstown'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'n'>}, <tf.Tensor: shape=(), dtype=int64, numpy=1>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=35.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=8.05>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'female'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=24.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=2>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=65.0>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Second'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'n'>}, <tf.Tensor: shape=(), dtype=int64, numpy=1>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=34.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=14.4>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'n'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=26.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=10.5>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Second'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=20.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=15.7417>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Cherbourg'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'n'>}, <tf.Tensor: shape=(), dtype=int64, numpy=1>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=61.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=32.3208>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'First'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'D'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=57.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=12.35>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Second'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Queenstown'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'female'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=21.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=77.9583>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'First'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'D'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=1>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=26.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=7.8958>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=28.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=7.7333>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Queenstown'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=80.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=30.0>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'First'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'A'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=1>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=51.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=7.0542>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=32.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=30.5>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'First'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'B'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Cherbourg'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=1>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'female'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=9.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=3>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=2>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=27.9>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'n'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'female'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=28.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=13.0>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Second'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=1>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=32.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=7.925>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'female'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=41.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=5>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=39.6875>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'n'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=28.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=16.1>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'n'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=20.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=7.8542>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=28.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=56.4958>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=1>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'female'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=0.75>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=2>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=19.2583>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Cherbourg'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'n'>}, <tf.Tensor: shape=(), dtype=int64, numpy=1>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=48.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=76.7292>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'First'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'D'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Cherbourg'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'n'>}, <tf.Tensor: shape=(), dtype=int64, numpy=1>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=28.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=7.55>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'female'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=23.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=7.55>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=1>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=28.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=7.8958>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'female'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=18.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=23.0>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Second'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'n'>}, <tf.Tensor: shape=(), dtype=int64, numpy=1>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=21.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=8.4333>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=24.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=2>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=73.5>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Second'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'n'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=28.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=7.8958>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'female'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=32.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=15.5>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Queenstown'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'n'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=50.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=2>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=133.65>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'First'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'n'>}, <tf.Tensor: shape=(), dtype=int64, numpy=1>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=47.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=25.5875>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'First'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'E'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=36.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=7.4958>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
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            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=25.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=13.0>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Second'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=28.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=7.775>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=43.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=8.05>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'female'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=40.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=39.0>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Second'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'n'>}, <tf.Tensor: shape=(), dtype=int64, numpy=1>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=31.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=52.0>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'First'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'B'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'n'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=31.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=13.0>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Second'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=1>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=28.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=0.0>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Second'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=18.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=7.775>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'female'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=18.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=9.8417>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=1>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=36.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=512.3292>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'First'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'B'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Cherbourg'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'n'>}, <tf.Tensor: shape=(), dtype=int64, numpy=1>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=27.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=76.7292>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'First'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'D'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Cherbourg'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=1>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=20.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=9.225>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=14.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=5>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=2>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=46.9>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'n'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=60.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=39.0>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Second'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'n'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=19.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=10.1708>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=18.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=7.7958>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'female'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=15.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=211.3375>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'First'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'B'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'n'>}, <tf.Tensor: shape=(), dtype=int64, numpy=1>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=31.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=57.0>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'First'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'B'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'n'>}, <tf.Tensor: shape=(), dtype=int64, numpy=1>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'female'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=4.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=13.4167>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Cherbourg'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'n'>}, <tf.Tensor: shape=(), dtype=int64, numpy=1>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=28.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=56.4958>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=1>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=60.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=26.55>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'First'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'female'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=28.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=7.7333>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Queenstown'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=1>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=49.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=110.8833>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'First'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'C'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Cherbourg'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'n'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=35.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=26.2875>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'First'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'E'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=1>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=25.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=7.7417>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Queenstown'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=39.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=26.0>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Second'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'female'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=22.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=151.55>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'First'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=1>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=28.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=15.2458>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Cherbourg'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'n'>}, <tf.Tensor: shape=(), dtype=int64, numpy=1>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'female'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=24.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=49.5042>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'First'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'C'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Cherbourg'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=1>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=28.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=26.55>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'First'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'C'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=48.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=52.0>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'First'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'C'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'n'>}, <tf.Tensor: shape=(), dtype=int64, numpy=1>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=29.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=9.4833>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=19.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=7.65>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'F'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'female'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=38.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=227.525>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'First'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'C'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Cherbourg'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=1>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'female'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=27.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=10.5>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Second'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'E'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=1>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=28.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=15.5>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Queenstown'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=33.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=7.775>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'female'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=6.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=33.0>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Second'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'n'>}, <tf.Tensor: shape=(), dtype=int64, numpy=1>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=50.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=13.0>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Second'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=27.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=53.1>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'First'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'E'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'n'>}, <tf.Tensor: shape=(), dtype=int64, numpy=1>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'female'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=30.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=3>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=21.0>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Second'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'n'>}, <tf.Tensor: shape=(), dtype=int64, numpy=1>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=25.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=26.0>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Second'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'n'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'female'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=25.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=7.925>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'n'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'female'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=29.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=211.3375>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'First'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'B'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=1>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=11.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=18.7875>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Cherbourg'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=28.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=0.0>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Second'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=23.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=13.0>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Second'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=23.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=13.0>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Second'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=35.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=512.3292>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'First'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'B'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Cherbourg'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=1>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=28.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=7.8958>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=28.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=7.8958>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=36.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=78.85>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'First'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'C'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'n'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'female'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=21.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=2>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=2>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=262.375>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'First'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'B'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Cherbourg'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'n'>}, <tf.Tensor: shape=(), dtype=int64, numpy=1>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=24.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=16.1>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'n'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=70.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=71.0>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'First'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'B'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'n'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'female'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=4.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=23.0>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Second'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'n'>}, <tf.Tensor: shape=(), dtype=int64, numpy=1>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=6.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=12.475>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'E'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'n'>}, <tf.Tensor: shape=(), dtype=int64, numpy=1>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=33.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=9.5>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=23.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=7.8958>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'female'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=48.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=2>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=65.0>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Second'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'n'>}, <tf.Tensor: shape=(), dtype=int64, numpy=1>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=28.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=7.7958>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=34.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=8.05>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=28.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=14.5>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=41.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=7.125>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=20.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=7.2292>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Cherbourg'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=1>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'female'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=51.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=77.9583>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'First'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'D'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'n'>}, <tf.Tensor: shape=(), dtype=int64, numpy=1>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=28.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=39.6>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'First'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Cherbourg'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=28.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=24.15>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Queenstown'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'n'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=32.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=8.3625>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=48.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=7.8542>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'female'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=57.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=10.5>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Second'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'E'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=18.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=7.75>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=28.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=7.75>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'F'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Queenstown'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'female'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=5.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=12.475>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=1>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'female'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=17.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=57.0>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'First'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'B'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'n'>}, <tf.Tensor: shape=(), dtype=int64, numpy=1>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=29.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=30.0>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'First'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'D'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=28.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=2>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=23.45>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'n'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=25.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=7.05>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=1.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=2>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=20.575>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'n'>}, <tf.Tensor: shape=(), dtype=int64, numpy=1>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=46.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=79.2>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'First'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'B'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Cherbourg'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=28.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=7.75>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Queenstown'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=16.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=26.0>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Second'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'female'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=28.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=8>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=2>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=69.55>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'n'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=28.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=30.6958>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'First'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Cherbourg'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=25.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=7.8958>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=39.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=13.0>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Second'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'female'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=49.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=25.9292>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'First'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'D'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=1>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'female'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=31.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=8.6833>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=1>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=30.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=7.2292>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Cherbourg'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'female'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=30.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=24.15>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'n'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=34.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=13.0>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Second'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'female'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=31.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=26.25>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Second'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'n'>}, <tf.Tensor: shape=(), dtype=int64, numpy=1>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=11.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=2>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=120.0>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'First'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'B'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'n'>}, <tf.Tensor: shape=(), dtype=int64, numpy=1>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=31.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=7.775>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=39.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=0.0>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'First'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'A'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=39.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=13.0>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Second'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'female'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=33.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=53.1>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'First'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'E'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'n'>}, <tf.Tensor: shape=(), dtype=int64, numpy=1>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=26.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=7.8875>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=39.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=24.15>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=35.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=10.5>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Second'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=30.5>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=8.05>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=28.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=0.0>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'First'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'B'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'female'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=23.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=7.925>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=31.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=37.0042>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Second'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Cherbourg'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'n'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=10.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=3>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=2>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=27.9>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'n'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'female'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=52.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=93.5>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'First'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'B'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'n'>}, <tf.Tensor: shape=(), dtype=int64, numpy=1>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=27.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=8.6625>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=1>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=2.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=4>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=39.6875>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'n'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=28.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=6.95>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Queenstown'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=28.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=56.4958>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=28.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=7.75>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Queenstown'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=1>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'female'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=15.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=14.4542>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Cherbourg'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'n'>}, <tf.Tensor: shape=(), dtype=int64, numpy=1>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=28.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=7.2292>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Cherbourg'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=23.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=7.8542>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=18.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=8.3>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'female'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=39.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=83.1583>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'First'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'E'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Cherbourg'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'n'>}, <tf.Tensor: shape=(), dtype=int64, numpy=1>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=21.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=8.6625>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=28.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=8.05>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=28.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=29.7>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'First'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'C'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Cherbourg'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=1>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=16.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=10.5>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Second'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'female'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=30.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=31.0>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'First'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Cherbourg'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=1>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=34.5>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=6.4375>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Cherbourg'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=42.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=7.55>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=28.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=8>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=2>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=69.55>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'n'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=35.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=7.8958>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Cherbourg'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=28.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=33.0>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Second'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'n'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'female'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=28.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=89.1042>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'First'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'C'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Cherbourg'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'n'>}, <tf.Tensor: shape=(), dtype=int64, numpy=1>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=4.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=4>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=2>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=31.275>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'n'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'female'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=16.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=39.4>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'First'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'D'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'n'>}, <tf.Tensor: shape=(), dtype=int64, numpy=1>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'female'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=18.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=9.35>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'n'>}, <tf.Tensor: shape=(), dtype=int64, numpy=1>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'female'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=45.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=164.8667>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'First'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'n'>}, <tf.Tensor: shape=(), dtype=int64, numpy=1>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=51.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=26.55>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'First'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'E'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=1>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'female'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=24.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=3>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=19.2583>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Cherbourg'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'n'>}, <tf.Tensor: shape=(), dtype=int64, numpy=1>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=41.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=2>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=14.1083>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'n'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=24.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=13.0>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Second'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'female'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=42.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=13.0>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Second'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=1>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'female'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=27.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=13.8583>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Second'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Cherbourg'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'n'>}, <tf.Tensor: shape=(), dtype=int64, numpy=1>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=31.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=50.4958>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'First'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'A'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=4.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=11.1333>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'n'>}, <tf.Tensor: shape=(), dtype=int64, numpy=1>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=26.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=7.8958>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'female'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=47.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=52.5542>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'First'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'D'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'n'>}, <tf.Tensor: shape=(), dtype=int64, numpy=1>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=33.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=5.0>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'First'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'B'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=47.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=9.0>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'female'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=28.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=24.0>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Second'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Cherbourg'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'n'>}, <tf.Tensor: shape=(), dtype=int64, numpy=1>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'female'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=15.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=7.225>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Cherbourg'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=1>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=20.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=9.8458>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=19.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=7.8958>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=28.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=7.8958>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'female'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=22.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=10.5167>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=28.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=10.5>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Second'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=25.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=7.05>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'female'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=19.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=30.0>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'First'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'B'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=1>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'female'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=28.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=1>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=2>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=23.45>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Southampton'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'n'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n",
            "({'survived': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'sex': <tf.Tensor: shape=(), dtype=string, numpy=b'male'>, 'age': <tf.Tensor: shape=(), dtype=float64, numpy=32.0>, 'n_siblings_spouses': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'parch': <tf.Tensor: shape=(), dtype=int64, numpy=0>, 'fare': <tf.Tensor: shape=(), dtype=float64, numpy=7.75>, 'class': <tf.Tensor: shape=(), dtype=string, numpy=b'Third'>, 'deck': <tf.Tensor: shape=(), dtype=string, numpy=b'unknown'>, 'embark_town': <tf.Tensor: shape=(), dtype=string, numpy=b'Queenstown'>, 'alone': <tf.Tensor: shape=(), dtype=string, numpy=b'y'>}, <tf.Tensor: shape=(), dtype=int64, numpy=0>)\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "7r4j-1lRyEqw"
      },
      "source": [
        "def df_to_dataset(dataframe, shuffle=True, batch_size=3):\n",
        "  '''Creates a tf.data dataset from a Pandas Dataframe'''\n",
        "  dataframe = dataframe.copy()\n",
        "  labels = dataframe.pop('survived')\n",
        "  ds = tf.data.Dataset.from_tensor_slices((dict(dataframe), labels))\n",
        "  if shuffle:\n",
        "    ds = ds.shuffle(buffer_size=len(dataframe))\n",
        "  #We'll also want to process this a batch-size at a time, so we can use the batch method.  \n",
        "  ds = ds.batch(batch_size)\n",
        "  #Prefetching allows us to optimise fetching of data and training\n",
        "  ds = ds.prefetch(batch_size)\n",
        "  return ds"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "PYxIXH579uS9"
      },
      "source": [
        "Now that you have created the input pipeline, let's call it to see the format of the data it returns. You have used a small batch size to keep the output readable."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "b1sOwjcLX4Pj",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "faf75b8e-6bbe-44be-859c-fb4c3016d059"
      },
      "source": [
        "train_ds = df_to_dataset(train)\n",
        "train_ds"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<PrefetchDataset shapes: ({sex: (None,), age: (None,), n_siblings_spouses: (None,), parch: (None,), fare: (None,), class: (None,), deck: (None,), embark_town: (None,), alone: (None,)}, (None,)), types: ({sex: tf.string, age: tf.float64, n_siblings_spouses: tf.int64, parch: tf.int64, fare: tf.float64, class: tf.string, deck: tf.string, embark_town: tf.string, alone: tf.string}, tf.int64)>"
            ]
          },
          "metadata": {},
          "execution_count": 22
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "qEzAqf5nYKx1",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "1b9cf983-dfa1-483f-e772-521d2b6d1265"
      },
      "source": [
        "[(train_features, label_batch)] = train_ds.take(1)\n",
        "label_batch"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<tf.Tensor: shape=(3,), dtype=int64, numpy=array([0, 0, 0])>"
            ]
          },
          "metadata": {},
          "execution_count": 23
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "-tZFZBaH2nUr"
      },
      "source": [
        "- You can see that we have a batch of 3 passengers."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "nFYir6S8HgIJ",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "50139a7f-df8b-4287-dae0-c4f02bad1b34"
      },
      "source": [
        "[(train_features, label_batch)] = train_ds.take(1)\n",
        "print('Every feature:', list(train_features.keys()))\n",
        "print('A batch of ages:', train_features['age'])\n",
        "print('A batch of labels:', label_batch )"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Every feature: ['sex', 'age', 'n_siblings_spouses', 'parch', 'fare', 'class', 'deck', 'embark_town', 'alone']\n",
            "A batch of ages: tf.Tensor([21. 24. 27.], shape=(3,), dtype=float64)\n",
            "A batch of labels: tf.Tensor([1 1 1], shape=(3,), dtype=int64)\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Qny1jxBFpFwH"
      },
      "source": [
        "## Feature engineering"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "twXBSxnT66o8"
      },
      "source": [
        "### Numeric columns\n"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "rlsaY02wRSZ6",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 299
        },
        "outputId": "6a4a4e77-c60d-498c-a184-b578d003ba21"
      },
      "source": [
        "train.describe()\n"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>survived</th>\n",
              "      <th>age</th>\n",
              "      <th>n_siblings_spouses</th>\n",
              "      <th>parch</th>\n",
              "      <th>fare</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>count</th>\n",
              "      <td>627.000000</td>\n",
              "      <td>627.000000</td>\n",
              "      <td>627.000000</td>\n",
              "      <td>627.000000</td>\n",
              "      <td>627.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>mean</th>\n",
              "      <td>0.387560</td>\n",
              "      <td>29.631308</td>\n",
              "      <td>0.545455</td>\n",
              "      <td>0.379585</td>\n",
              "      <td>34.385399</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>std</th>\n",
              "      <td>0.487582</td>\n",
              "      <td>12.511818</td>\n",
              "      <td>1.151090</td>\n",
              "      <td>0.792999</td>\n",
              "      <td>54.597730</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>min</th>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.750000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>25%</th>\n",
              "      <td>0.000000</td>\n",
              "      <td>23.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>7.895800</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>50%</th>\n",
              "      <td>0.000000</td>\n",
              "      <td>28.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>15.045800</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>75%</th>\n",
              "      <td>1.000000</td>\n",
              "      <td>35.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>31.387500</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>max</th>\n",
              "      <td>1.000000</td>\n",
              "      <td>80.000000</td>\n",
              "      <td>8.000000</td>\n",
              "      <td>5.000000</td>\n",
              "      <td>512.329200</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "         survived         age  n_siblings_spouses       parch        fare\n",
              "count  627.000000  627.000000          627.000000  627.000000  627.000000\n",
              "mean     0.387560   29.631308            0.545455    0.379585   34.385399\n",
              "std      0.487582   12.511818            1.151090    0.792999   54.597730\n",
              "min      0.000000    0.750000            0.000000    0.000000    0.000000\n",
              "25%      0.000000   23.000000            0.000000    0.000000    7.895800\n",
              "50%      0.000000   28.000000            0.000000    0.000000   15.045800\n",
              "75%      1.000000   35.000000            1.000000    0.000000   31.387500\n",
              "max      1.000000   80.000000            8.000000    5.000000  512.329200"
            ]
          },
          "metadata": {},
          "execution_count": 25
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "OosUh4kTsK_q"
      },
      "source": [
        "Let's create a function `get_normalization_layer` that returns a layer which applies featurewise normalization to numerical features."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "D6OuEKMMyEq1"
      },
      "source": [
        "def get_normalization_layer(name, dataset):\n",
        "  # Create a Normalization layer for our feature.\n",
        "  normalizer = preprocessing.Normalization(axis=None)\n",
        "\n",
        "  # Prepare a Dataset that only yields our feature.\n",
        "  feature_ds = dataset.map(lambda x, y: x[name])\n",
        "\n",
        "  # A pre-processing / non-traininable layer. \n",
        "  normalizer.adapt(feature_ds)\n",
        "\n",
        "  return normalizer"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "287LolNVFXOe"
      },
      "source": [
        "The TensorFlow 2.0 Documentation has more information on the [adapt method](https://www.tensorflow.org/guide/keras/preprocessing_layers#the_adapt_method) if you want to find out more."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "5tPWogCHa7bf",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "19c364a1-1eab-48a8-fb62-e6891ec0546c"
      },
      "source": [
        "age_column = train_features['age']\n",
        "age_column"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<tf.Tensor: shape=(3,), dtype=float64, numpy=array([21., 24., 27.])>"
            ]
          },
          "metadata": {},
          "execution_count": 27
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "ItY5s86l842d"
      },
      "source": [
        "- You can see that when we pass a batch of 3 numerical ages to the get_normalization_layer, they are returned as normalized features."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "7H0fzmP6bUPb",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "b3f14be3-67f9-438a-fe50-85dc89739c08"
      },
      "source": [
        "numeric_layer = get_normalization_layer('age', train_ds)\n",
        "numeric_layer(age_column)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<tf.Tensor: shape=(3,), dtype=float32, numpy=array([-0.6904031 , -0.45043844, -0.21047378], dtype=float32)>"
            ]
          },
          "metadata": {},
          "execution_count": 28
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "yVD--2WZ7vmh"
      },
      "source": [
        "### Categorical columns\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "x49mT8vyfKNB"
      },
      "source": [
        "In this dataset, the town that passengers embarked is represented as a string (e.g. 'Southampton', 'Cherbourg', 'Queenstown' or 'unknown'). You cannot feed strings directly to a model. The preprocessing layer takes care of representing strings as a one-hot encoding vector."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "pqmBUXgneEF1",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "e5dad394-e100-4f95-fd2a-412ab5adad0a"
      },
      "source": [
        "train.embark_town.unique()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array(['Southampton', 'Cherbourg', 'Queenstown', 'unknown'], dtype=object)"
            ]
          },
          "metadata": {},
          "execution_count": 29
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "LWlkOPwMsxdv"
      },
      "source": [
        "`get_category_encoding_layer` function returns a layer which maps values from a vocabulary to integer indices and one-hot encodes the features."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "GmgaeRjlDoUO"
      },
      "source": [
        "def get_category_encoding_layer(name, dataset, dtype, max_tokens=None):\n",
        "  # Create a StringLookup layer which will turn strings into integer indices\n",
        "  if dtype == 'string':\n",
        "    index = preprocessing.StringLookup(max_tokens=max_tokens)\n",
        "  else:\n",
        "    index = preprocessing.IntegerLookup(max_tokens=max_tokens)\n",
        "\n",
        "  # Prepare a Dataset that only yields our feature\n",
        "  feature_ds = dataset.map(lambda x, y: x[name])\n",
        "\n",
        "  # Learn the set of possible values and assign them a fixed integer index.\n",
        "  index.adapt(feature_ds)\n",
        "\n",
        "  # Create a Discretization for our integer indices.\n",
        "  encoder = preprocessing.CategoryEncoding(num_tokens=index.vocabulary_size())\n",
        "\n",
        "  # Apply one-hot encoding to our indices and return this feature\n",
        "  return lambda feature: encoder(index(feature))"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "SlJfdy1DFsxO"
      },
      "source": [
        "The TensorFlow 2.0 Documentation has more details on [StringLookup](https://www.tensorflow.org/api_docs/python/tf/keras/layers/StringLookup), [IntegerLookup](https://www.tensorflow.org/api_docs/python/tf/keras/layers/IntegerLookup) and [CategoryEncoding](https://www.tensorflow.org/api_docs/python/tf/keras/layers/CategoryEncoding)"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "0PLPkq4rZlF2",
        "outputId": "6644e33d-7a3f-4e62-c242-25caa9e1dc92"
      },
      "source": [
        "index = preprocessing.StringLookup(max_tokens=None)\n",
        "feature_ds = train_ds.map(lambda x, y: x['embark_town'])\n",
        "index.adapt(feature_ds)\n",
        "\n",
        "print(f'vocabulary: {index.get_vocabulary()}')\n",
        "print(f'vocabulary size: {index.vocabulary_size()}')"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "vocabulary: ['[UNK]', 'Southampton', 'Cherbourg', 'Queenstown', 'unknown']\n",
            "vocabulary size: 5\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        },
        "id": "CLPr5QwJZx1h",
        "outputId": "8a046acf-ad44-4bed-b157-973971b1b5ef"
      },
      "source": [
        "index.oov_token"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "string"
            },
            "text/plain": [
              "'[UNK]'"
            ]
          },
          "metadata": {},
          "execution_count": 32
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "3LvWeq7b30yr"
      },
      "source": [
        "Let's take a look at a batch of 3 entries. "
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "LPdk6WMHfv1v",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "d238413b-ad69-4c80-d2c0-b409546f06b7"
      },
      "source": [
        "embark_town_column = train_features['embark_town']\n",
        "embark_town_column"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<tf.Tensor: shape=(3,), dtype=string, numpy=array([b'Southampton', b'Southampton', b'Southampton'], dtype=object)>"
            ]
          },
          "metadata": {},
          "execution_count": 33
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "X2t2ff9K8PcT",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "f046370b-3619-4c62-985d-52edd8a7538c"
      },
      "source": [
        "categorical_layer = get_category_encoding_layer('embark_town', train_ds, 'string')\n",
        "categorical_layer(embark_town_column)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<tf.Tensor: shape=(5,), dtype=float32, numpy=array([0., 1., 0., 0., 0.], dtype=float32)>"
            ]
          },
          "metadata": {},
          "execution_count": 34
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Q8LMv-6tjB53"
      },
      "source": [
        "### Creating a pipeline"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "1wVwChZii8Sz"
      },
      "source": [
        "batch_size = 64\n",
        "train_ds = df_to_dataset(train, batch_size=batch_size)\n",
        "val_ds = df_to_dataset(val, shuffle=False, batch_size=batch_size)\n",
        "test_ds = df_to_dataset(test, shuffle=False, batch_size=batch_size)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "6RFHfo4Q_z3X"
      },
      "source": [
        "- Next let's take a look at our numeric and categorical features"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Tjh_MrwtjP4x"
      },
      "source": [
        "all_inputs = []\n",
        "encoded_features = []\n",
        "\n",
        "# Numeric features.\n",
        "numeric_columns = ['age', 'n_siblings_spouses', 'parch', 'fare']\n",
        "for column_name in numeric_columns:\n",
        "  numeric_column = tf.keras.Input(shape=(1,), name=column_name)\n",
        "  normalization_layer = get_normalization_layer(column_name, train_ds)\n",
        "  encoded_numeric_column = normalization_layer(numeric_column)\n",
        "  all_inputs.append(numeric_column)\n",
        "  encoded_features.append(encoded_numeric_column)\n",
        "\n",
        "# Categorical features encoded as string.\n",
        "categorical_columns = ['sex', 'class', 'embark_town', 'deck', 'alone']\n",
        "for column_name in categorical_columns:\n",
        "  categorical_column = tf.keras.Input(shape=(1,), name=column_name, dtype='string')\n",
        "  encoding_layer = get_category_encoding_layer(column_name, train_ds, dtype='string', max_tokens=5)\n",
        "  encoded_categorical_column = encoding_layer(categorical_column)\n",
        "  all_inputs.append(categorical_column)\n",
        "  encoded_features.append(encoded_categorical_column)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "FYa6YYvlir83"
      },
      "source": [
        "Let's take a look at the list all_inputs to see what we have. You can see these are the different columns"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "UlI-kce-eJBr",
        "outputId": "e6e0634d-6f75-495a-8aab-7e83d18eedab"
      },
      "source": [
        "all_inputs"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "[<KerasTensor: shape=(None, 1) dtype=float32 (created by layer 'age')>,\n",
              " <KerasTensor: shape=(None, 1) dtype=float32 (created by layer 'n_siblings_spouses')>,\n",
              " <KerasTensor: shape=(None, 1) dtype=float32 (created by layer 'parch')>,\n",
              " <KerasTensor: shape=(None, 1) dtype=float32 (created by layer 'fare')>,\n",
              " <KerasTensor: shape=(None, 1) dtype=string (created by layer 'sex')>,\n",
              " <KerasTensor: shape=(None, 1) dtype=string (created by layer 'class')>,\n",
              " <KerasTensor: shape=(None, 1) dtype=string (created by layer 'embark_town')>,\n",
              " <KerasTensor: shape=(None, 1) dtype=string (created by layer 'deck')>,\n",
              " <KerasTensor: shape=(None, 1) dtype=string (created by layer 'alone')>]"
            ]
          },
          "metadata": {},
          "execution_count": 37
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "N6xywgIgjA3-"
      },
      "source": [
        "The encoded_features is all of the layers that have been normalized for numeric values and have category encoding for categorical values"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "n2im054Ceagr",
        "outputId": "c1f33a21-b1a6-40f3-8cfb-3bc891503af5"
      },
      "source": [
        "encoded_features"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "[<KerasTensor: shape=(None, 1) dtype=float32 (created by layer 'normalization_1')>,\n",
              " <KerasTensor: shape=(None, 1) dtype=float32 (created by layer 'normalization_2')>,\n",
              " <KerasTensor: shape=(None, 1) dtype=float32 (created by layer 'normalization_3')>,\n",
              " <KerasTensor: shape=(None, 1) dtype=float32 (created by layer 'normalization_4')>,\n",
              " <KerasTensor: shape=(None, 3) dtype=float32 (created by layer 'category_encoding_1')>,\n",
              " <KerasTensor: shape=(None, 4) dtype=float32 (created by layer 'category_encoding_2')>,\n",
              " <KerasTensor: shape=(None, 5) dtype=float32 (created by layer 'category_encoding_3')>,\n",
              " <KerasTensor: shape=(None, 5) dtype=float32 (created by layer 'category_encoding_4')>,\n",
              " <KerasTensor: shape=(None, 3) dtype=float32 (created by layer 'category_encoding_5')>]"
            ]
          },
          "metadata": {},
          "execution_count": 38
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "kaV4pQ1CnO9-"
      },
      "source": [
        "## Train and evaluate the model"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "DVh9afkUo890"
      },
      "source": [
        "### Create and compile model"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "3v37OLRrjPu-"
      },
      "source": [
        "#compile\n",
        "all_features = tf.keras.layers.concatenate(encoded_features)\n",
        "x = tf.keras.layers.Dense(128, activation=\"relu\")(all_features)\n",
        "x = tf.keras.layers.Dense(64, activation=\"relu\")(x)\n",
        "x = tf.keras.layers.Dropout(0.1)(x)\n",
        "output = tf.keras.layers.Dense(1)(x)\n",
        "\n",
        "model = tf.keras.Model(all_inputs, output)\n",
        "\n",
        "model.compile(optimizer='adam',\n",
        "              loss=tf.keras.losses.BinaryCrossentropy(from_logits=True),\n",
        "              metrics=[\"accuracy\"])"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "cTAVrm_A4cA8"
      },
      "source": [
        "Fashion MNIST neural network model\n",
        "![Fashion MNIST](https://drive.google.com/uc?id=1agv0HpjsUfb1E4Hgcs_rIldhcV90NiOK)"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "z7HR2BlOoD7C",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 554
        },
        "outputId": "bd46eed6-a75d-4c33-ff3d-513738047e6e"
      },
      "source": [
        "# rankdir='LR' is used to make the graph horizontal.\n",
        "tf.keras.utils.plot_model(model, show_shapes=True, rankdir=\"LR\")"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
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            "text/plain": [
              "<IPython.core.display.Image object>"
            ]
          },
          "metadata": {},
          "execution_count": 40
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "RauLatYIpB-O"
      },
      "source": [
        "### Train and evaluate model"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "OonIVsfVpFWQ",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "2f1412cb-d51a-4e39-f785-ee3ca31cc2df"
      },
      "source": [
        "model.fit(train_ds, validation_data=val_ds, epochs=10)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Epoch 1/10\n",
            "10/10 [==============================] - 2s 41ms/step - loss: 0.6185 - accuracy: 0.6204 - val_loss: 0.5784 - val_accuracy: 0.6288\n",
            "Epoch 2/10\n",
            "10/10 [==============================] - 0s 5ms/step - loss: 0.5313 - accuracy: 0.6778 - val_loss: 0.5317 - val_accuracy: 0.6970\n",
            "Epoch 3/10\n",
            "10/10 [==============================] - 0s 5ms/step - loss: 0.4767 - accuracy: 0.7496 - val_loss: 0.5009 - val_accuracy: 0.7348\n",
            "Epoch 4/10\n",
            "10/10 [==============================] - 0s 7ms/step - loss: 0.4402 - accuracy: 0.7974 - val_loss: 0.4910 - val_accuracy: 0.7576\n",
            "Epoch 5/10\n",
            "10/10 [==============================] - 0s 5ms/step - loss: 0.4174 - accuracy: 0.8166 - val_loss: 0.4925 - val_accuracy: 0.7576\n",
            "Epoch 6/10\n",
            "10/10 [==============================] - 0s 5ms/step - loss: 0.4117 - accuracy: 0.8198 - val_loss: 0.4885 - val_accuracy: 0.7727\n",
            "Epoch 7/10\n",
            "10/10 [==============================] - 0s 5ms/step - loss: 0.4035 - accuracy: 0.8246 - val_loss: 0.4846 - val_accuracy: 0.7803\n",
            "Epoch 8/10\n",
            "10/10 [==============================] - 0s 5ms/step - loss: 0.3931 - accuracy: 0.8341 - val_loss: 0.4821 - val_accuracy: 0.7955\n",
            "Epoch 9/10\n",
            "10/10 [==============================] - 0s 5ms/step - loss: 0.4013 - accuracy: 0.8278 - val_loss: 0.4809 - val_accuracy: 0.7955\n",
            "Epoch 10/10\n",
            "10/10 [==============================] - 0s 7ms/step - loss: 0.3860 - accuracy: 0.8341 - val_loss: 0.4784 - val_accuracy: 0.7955\n"
          ]
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<keras.callbacks.History at 0x7fe90a6a2950>"
            ]
          },
          "metadata": {},
          "execution_count": 41
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "2Ix6ICW3pLgT",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "8b868af1-fc85-4ed1-d15b-b17ef2702663"
      },
      "source": [
        "loss, accuracy = model.evaluate(test_ds)\n",
        "print(\"Accuracy\", accuracy)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "3/3 [==============================] - 0s 5ms/step - loss: 0.3757 - accuracy: 0.8409\n",
            "Accuracy 0.8409090638160706\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "V4XP-EVBBBbv",
        "outputId": "976a849e-5b38-4e63-9cd6-ffd75b8beace"
      },
      "source": [
        "model.save('classifier')"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "INFO:tensorflow:Assets written to: classifier/assets\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "2I0xHFHDC4nN",
        "outputId": "2ebed73c-1ea3-4ae8-97b9-90da245427b0"
      },
      "source": [
        "!ls -l "
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "total 192\n",
            "drwxr-xr-x 4 root root   4096 Nov 10 10:59 classifier\n",
            "-rw-r--r-- 1 root root 187031 Nov 10 10:59 model.png\n",
            "drwxr-xr-x 1 root root   4096 Nov  1 13:35 sample_data\n"
          ]
        }
      ]
    }
  ]
}