Basic_NN.ipynb

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  "metadata": {
    "colab": {
      "name": "Basic-NN.ipynb",
      "provenance": [],
      "authorship_tag": "ABX9TyPyL6ZdQ2BWmyr2a6Tk46m0",
      "include_colab_link": true
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/Adeelzafar/30-Days-of-ML-Kaggle/blob/main/Basic_NN.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 1,
      "metadata": {
        "id": "EEE72wBDt6rx"
      },
      "outputs": [],
      "source": [
        "%matplotlib inline\n",
        "import pandas as pd\n",
        "import numpy as np\n",
        "import matplotlib.pyplot as plt\n",
        "import seaborn as sns"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "heart_failure = pd.read_csv('heart_failure_clinical_records_dataset.csv')\n",
        "print(heart_failure.columns)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "dvLgyU62t8Sv",
        "outputId": "6cc0b699-5ba8-4846-96f3-64d930254269"
      },
      "execution_count": 2,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Index(['age', 'anaemia', 'creatinine_phosphokinase', 'diabetes',\n",
            "       'ejection_fraction', 'high_blood_pressure', 'platelets',\n",
            "       'serum_creatinine', 'serum_sodium', 'sex', 'smoking', 'time',\n",
            "       'DEATH_EVENT'],\n",
            "      dtype='object')\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "heart_failure.head()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 226
        },
        "id": "YGzl2_RIuGKn",
        "outputId": "3cb86a24-1a0c-4a68-9552-cf3ddabc0132"
      },
      "execution_count": 3,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
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              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>age</th>\n",
              "      <th>anaemia</th>\n",
              "      <th>creatinine_phosphokinase</th>\n",
              "      <th>diabetes</th>\n",
              "      <th>ejection_fraction</th>\n",
              "      <th>high_blood_pressure</th>\n",
              "      <th>platelets</th>\n",
              "      <th>serum_creatinine</th>\n",
              "      <th>serum_sodium</th>\n",
              "      <th>sex</th>\n",
              "      <th>smoking</th>\n",
              "      <th>time</th>\n",
              "      <th>DEATH_EVENT</th>\n",
              "    </tr>\n",
              "  </thead>\n",
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            ],
            "text/plain": [
              "    age  anaemia  creatinine_phosphokinase  ...  smoking  time  DEATH_EVENT\n",
              "0  75.0        0                       582  ...        0     4            1\n",
              "1  55.0        0                      7861  ...        0     6            1\n",
              "2  65.0        0                       146  ...        1     7            1\n",
              "3  50.0        1                       111  ...        0     7            1\n",
              "4  65.0        1                       160  ...        0     8            1\n",
              "\n",
              "[5 rows x 13 columns]"
            ]
          },
          "metadata": {},
          "execution_count": 3
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "X = heart_failure.iloc[:,1:12]"
      ],
      "metadata": {
        "id": "1AYGTHvuuI11"
      },
      "execution_count": 4,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "y = heart_failure.DEATH_EVENT"
      ],
      "metadata": {
        "id": "f6JLR-VjuT1D"
      },
      "execution_count": 5,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "from sklearn.model_selection import train_test_split\n",
        "X_train, X_test, y_train, y_test = train_test_split(X, y, stratify = heart_failure.DEATH_EVENT, random_state=0)"
      ],
      "metadata": {
        "id": "jq0MMpZYuXCh"
      },
      "execution_count": 7,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "from sklearn.preprocessing import MinMaxScaler\n",
        "scaler = MinMaxScaler()"
      ],
      "metadata": {
        "id": "D9O4G-G5ubXn"
      },
      "execution_count": 9,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "scaler.fit(X_train)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "4aRidXi6uoYH",
        "outputId": "a87bc330-1a78-45c5-83eb-930b7f3d7c3d"
      },
      "execution_count": 10,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "MinMaxScaler()"
            ]
          },
          "metadata": {},
          "execution_count": 10
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "X_train = scaler.transform(X_train)\n",
        "X_test=scaler.transform(X_test)"
      ],
      "metadata": {
        "id": "9MoiiB0Vu0GT"
      },
      "execution_count": 11,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "import tensorflow as tf\n"
      ],
      "metadata": {
        "id": "pSDstNLevAEx"
      },
      "execution_count": 12,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "from tensorflow.keras.models import Sequential\n",
        "from tensorflow.keras.layers import Dense, Activation"
      ],
      "metadata": {
        "id": "ZWHSPjOlvFLh"
      },
      "execution_count": 13,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "from tensorflow.python.eager.monitoring import Metric\n",
        "model = Sequential()\n",
        "model.add(Dense(12, activation = 'relu'))\n",
        "model.add(Dense(12, activation = 'relu'))\n",
        "model.add(Dense(12, activation = 'relu'))\n",
        "model.add(Dense(12, activation = 'relu'))\n",
        "model.add(Dense(1))\n",
        "model.compile(loss='binary_crossentropy', \n",
        "              optimizer='adam',\n",
        "              metrics=['accuracy'])"
      ],
      "metadata": {
        "id": "36zqhM5LvXES"
      },
      "execution_count": 24,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "model.fit(X_train,y_train, epochs = 250)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "SrDJrtj8v1ru",
        "outputId": "3d553463-999c-4654-85f3-eb26c92fa9ee"
      },
      "execution_count": 25,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Epoch 1/250\n",
            "7/7 [==============================] - 1s 3ms/step - loss: 3.2814 - accuracy: 0.6786\n",
            "Epoch 2/250\n",
            "7/7 [==============================] - 0s 4ms/step - loss: 1.7107 - accuracy: 0.6786\n",
            "Epoch 3/250\n",
            "7/7 [==============================] - 0s 4ms/step - loss: 1.0786 - accuracy: 0.6786\n",
            "Epoch 4/250\n",
            "7/7 [==============================] - 0s 5ms/step - loss: 0.8782 - accuracy: 0.6786\n",
            "Epoch 5/250\n",
            "7/7 [==============================] - 0s 4ms/step - loss: 0.7600 - accuracy: 0.6786\n",
            "Epoch 6/250\n",
            "7/7 [==============================] - 0s 4ms/step - loss: 0.7307 - accuracy: 0.6786\n",
            "Epoch 7/250\n",
            "7/7 [==============================] - 0s 4ms/step - loss: 0.7117 - accuracy: 0.6786\n",
            "Epoch 8/250\n",
            "7/7 [==============================] - 0s 4ms/step - loss: 0.6950 - accuracy: 0.6786\n",
            "Epoch 9/250\n",
            "7/7 [==============================] - 0s 4ms/step - loss: 0.6838 - accuracy: 0.6786\n",
            "Epoch 10/250\n",
            "7/7 [==============================] - 0s 5ms/step - loss: 0.6756 - accuracy: 0.6786\n",
            "Epoch 11/250\n",
            "7/7 [==============================] - 0s 5ms/step - loss: 0.6693 - accuracy: 0.6786\n",
            "Epoch 12/250\n",
            "7/7 [==============================] - 0s 4ms/step - loss: 0.6638 - accuracy: 0.6786\n",
            "Epoch 13/250\n",
            "7/7 [==============================] - 0s 4ms/step - loss: 0.6595 - accuracy: 0.6786\n",
            "Epoch 14/250\n",
            "7/7 [==============================] - 0s 4ms/step - loss: 0.6552 - accuracy: 0.6786\n",
            "Epoch 15/250\n",
            "7/7 [==============================] - 0s 4ms/step - loss: 0.6521 - accuracy: 0.6786\n",
            "Epoch 16/250\n",
            "7/7 [==============================] - 0s 4ms/step - loss: 0.6490 - accuracy: 0.6786\n",
            "Epoch 17/250\n",
            "7/7 [==============================] - 0s 5ms/step - loss: 0.6462 - accuracy: 0.6786\n",
            "Epoch 18/250\n",
            "7/7 [==============================] - 0s 5ms/step - loss: 0.6430 - accuracy: 0.6786\n",
            "Epoch 19/250\n",
            "7/7 [==============================] - 0s 8ms/step - loss: 0.6403 - accuracy: 0.6786\n",
            "Epoch 20/250\n",
            "7/7 [==============================] - 0s 10ms/step - loss: 0.6381 - accuracy: 0.6786\n",
            "Epoch 21/250\n",
            "7/7 [==============================] - 0s 12ms/step - loss: 0.6349 - accuracy: 0.6786\n",
            "Epoch 22/250\n",
            "7/7 [==============================] - 0s 16ms/step - loss: 0.6325 - accuracy: 0.6786\n",
            "Epoch 23/250\n",
            "7/7 [==============================] - 0s 12ms/step - loss: 0.6300 - accuracy: 0.6786\n",
            "Epoch 24/250\n",
            "7/7 [==============================] - 0s 12ms/step - loss: 0.6276 - accuracy: 0.6786\n",
            "Epoch 25/250\n",
            "7/7 [==============================] - 0s 11ms/step - loss: 0.6255 - accuracy: 0.6786\n",
            "Epoch 26/250\n",
            "7/7 [==============================] - 0s 15ms/step - loss: 0.6232 - accuracy: 0.6786\n",
            "Epoch 27/250\n",
            "7/7 [==============================] - 0s 15ms/step - loss: 0.6211 - accuracy: 0.6786\n",
            "Epoch 28/250\n",
            "7/7 [==============================] - 0s 14ms/step - loss: 0.6193 - accuracy: 0.6786\n",
            "Epoch 29/250\n",
            "7/7 [==============================] - 0s 12ms/step - loss: 0.6173 - accuracy: 0.6786\n",
            "Epoch 30/250\n",
            "7/7 [==============================] - 0s 14ms/step - loss: 0.6158 - accuracy: 0.6786\n",
            "Epoch 31/250\n",
            "7/7 [==============================] - 0s 12ms/step - loss: 0.6131 - accuracy: 0.6786\n",
            "Epoch 32/250\n",
            "7/7 [==============================] - 0s 6ms/step - loss: 0.6115 - accuracy: 0.6786\n",
            "Epoch 33/250\n",
            "7/7 [==============================] - 0s 10ms/step - loss: 0.6093 - accuracy: 0.6786\n",
            "Epoch 34/250\n",
            "7/7 [==============================] - 0s 10ms/step - loss: 0.6074 - accuracy: 0.6786\n",
            "Epoch 35/250\n",
            "7/7 [==============================] - 0s 9ms/step - loss: 0.6054 - accuracy: 0.6786\n",
            "Epoch 36/250\n",
            "7/7 [==============================] - 0s 8ms/step - loss: 0.6030 - accuracy: 0.6786\n",
            "Epoch 37/250\n",
            "7/7 [==============================] - 0s 5ms/step - loss: 0.6010 - accuracy: 0.6786\n",
            "Epoch 38/250\n",
            "7/7 [==============================] - 0s 7ms/step - loss: 0.5986 - accuracy: 0.6786\n",
            "Epoch 39/250\n",
            "7/7 [==============================] - 0s 7ms/step - loss: 0.5966 - accuracy: 0.6786\n",
            "Epoch 40/250\n",
            "7/7 [==============================] - 0s 5ms/step - loss: 0.5938 - accuracy: 0.6786\n",
            "Epoch 41/250\n",
            "7/7 [==============================] - 0s 5ms/step - loss: 0.5911 - accuracy: 0.6786\n",
            "Epoch 42/250\n",
            "7/7 [==============================] - 0s 5ms/step - loss: 0.5885 - accuracy: 0.6786\n",
            "Epoch 43/250\n",
            "7/7 [==============================] - 0s 8ms/step - loss: 0.5858 - accuracy: 0.6786\n",
            "Epoch 44/250\n",
            "7/7 [==============================] - 0s 13ms/step - loss: 0.5833 - accuracy: 0.6786\n",
            "Epoch 45/250\n",
            "7/7 [==============================] - 0s 12ms/step - loss: 0.5805 - accuracy: 0.6786\n",
            "Epoch 46/250\n",
            "7/7 [==============================] - 0s 14ms/step - loss: 0.5781 - accuracy: 0.6786\n",
            "Epoch 47/250\n",
            "7/7 [==============================] - 0s 14ms/step - loss: 0.5756 - accuracy: 0.6786\n",
            "Epoch 48/250\n",
            "7/7 [==============================] - 0s 12ms/step - loss: 0.5719 - accuracy: 0.6786\n",
            "Epoch 49/250\n",
            "7/7 [==============================] - 0s 13ms/step - loss: 0.5692 - accuracy: 0.6786\n",
            "Epoch 50/250\n",
            "7/7 [==============================] - 0s 15ms/step - loss: 0.5667 - accuracy: 0.6741\n",
            "Epoch 51/250\n",
            "7/7 [==============================] - 0s 18ms/step - loss: 0.5636 - accuracy: 0.6741\n",
            "Epoch 52/250\n",
            "7/7 [==============================] - 0s 14ms/step - loss: 0.5609 - accuracy: 0.6741\n",
            "Epoch 53/250\n",
            "7/7 [==============================] - 0s 11ms/step - loss: 0.5577 - accuracy: 0.6786\n",
            "Epoch 54/250\n",
            "7/7 [==============================] - 0s 12ms/step - loss: 0.5542 - accuracy: 0.6786\n",
            "Epoch 55/250\n",
            "7/7 [==============================] - 0s 12ms/step - loss: 0.5505 - accuracy: 0.6786\n",
            "Epoch 56/250\n",
            "7/7 [==============================] - 0s 8ms/step - loss: 0.5461 - accuracy: 0.6786\n",
            "Epoch 57/250\n",
            "7/7 [==============================] - 0s 10ms/step - loss: 0.5402 - accuracy: 0.6786\n",
            "Epoch 58/250\n",
            "7/7 [==============================] - 0s 13ms/step - loss: 0.5354 - accuracy: 0.6920\n",
            "Epoch 59/250\n",
            "7/7 [==============================] - 0s 7ms/step - loss: 0.5298 - accuracy: 0.7054\n",
            "Epoch 60/250\n",
            "7/7 [==============================] - 0s 8ms/step - loss: 0.5230 - accuracy: 0.7232\n",
            "Epoch 61/250\n",
            "7/7 [==============================] - 0s 8ms/step - loss: 0.5162 - accuracy: 0.7277\n",
            "Epoch 62/250\n",
            "7/7 [==============================] - 0s 7ms/step - loss: 0.5108 - accuracy: 0.7321\n",
            "Epoch 63/250\n",
            "7/7 [==============================] - 0s 6ms/step - loss: 0.5059 - accuracy: 0.7411\n",
            "Epoch 64/250\n",
            "7/7 [==============================] - 0s 5ms/step - loss: 0.4995 - accuracy: 0.7500\n",
            "Epoch 65/250\n",
            "7/7 [==============================] - 0s 5ms/step - loss: 0.4932 - accuracy: 0.7634\n",
            "Epoch 66/250\n",
            "7/7 [==============================] - 0s 5ms/step - loss: 0.4897 - accuracy: 0.7634\n",
            "Epoch 67/250\n",
            "7/7 [==============================] - 0s 5ms/step - loss: 0.4842 - accuracy: 0.7589\n",
            "Epoch 68/250\n",
            "7/7 [==============================] - 0s 5ms/step - loss: 0.4794 - accuracy: 0.7634\n",
            "Epoch 69/250\n",
            "7/7 [==============================] - 0s 5ms/step - loss: 0.4731 - accuracy: 0.7679\n",
            "Epoch 70/250\n",
            "7/7 [==============================] - 0s 5ms/step - loss: 0.4671 - accuracy: 0.7812\n",
            "Epoch 71/250\n",
            "7/7 [==============================] - 0s 5ms/step - loss: 0.4632 - accuracy: 0.7902\n",
            "Epoch 72/250\n",
            "7/7 [==============================] - 0s 5ms/step - loss: 0.4586 - accuracy: 0.7946\n",
            "Epoch 73/250\n",
            "7/7 [==============================] - 0s 4ms/step - loss: 0.4532 - accuracy: 0.7991\n",
            "Epoch 74/250\n",
            "7/7 [==============================] - 0s 4ms/step - loss: 0.4536 - accuracy: 0.7857\n",
            "Epoch 75/250\n",
            "7/7 [==============================] - 0s 5ms/step - loss: 0.4448 - accuracy: 0.8036\n",
            "Epoch 76/250\n",
            "7/7 [==============================] - 0s 6ms/step - loss: 0.4447 - accuracy: 0.7991\n",
            "Epoch 77/250\n",
            "7/7 [==============================] - 0s 5ms/step - loss: 0.4332 - accuracy: 0.7991\n",
            "Epoch 78/250\n",
            "7/7 [==============================] - 0s 5ms/step - loss: 0.4309 - accuracy: 0.7902\n",
            "Epoch 79/250\n",
            "7/7 [==============================] - 0s 5ms/step - loss: 0.4294 - accuracy: 0.8125\n",
            "Epoch 80/250\n",
            "7/7 [==============================] - 0s 5ms/step - loss: 0.4211 - accuracy: 0.8125\n",
            "Epoch 81/250\n",
            "7/7 [==============================] - 0s 5ms/step - loss: 0.4178 - accuracy: 0.7946\n",
            "Epoch 82/250\n",
            "7/7 [==============================] - 0s 5ms/step - loss: 0.4153 - accuracy: 0.8214\n",
            "Epoch 83/250\n",
            "7/7 [==============================] - 0s 5ms/step - loss: 0.4101 - accuracy: 0.8036\n",
            "Epoch 84/250\n",
            "7/7 [==============================] - 0s 5ms/step - loss: 0.4067 - accuracy: 0.8125\n",
            "Epoch 85/250\n",
            "7/7 [==============================] - 0s 6ms/step - loss: 0.4066 - accuracy: 0.8125\n",
            "Epoch 86/250\n",
            "7/7 [==============================] - 0s 5ms/step - loss: 0.4006 - accuracy: 0.7946\n",
            "Epoch 87/250\n",
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            "Epoch 248/250\n",
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            "Epoch 249/250\n",
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            "Epoch 250/250\n",
            "7/7 [==============================] - 0s 5ms/step - loss: 0.1754 - accuracy: 0.9107\n"
          ]
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<keras.callbacks.History at 0x7f1ce7e7b550>"
            ]
          },
          "metadata": {},
          "execution_count": 25
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        ""
      ],
      "metadata": {
        "id": "p6Uwx0DVwVob"
      }
    }
  ]
}