The-best-classifier.ipynb

{
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            },
            "source": "<a href=\"https://www.bigdatauniversity.com\"><img src=\"https://ibm.box.com/shared/static/cw2c7r3o20w9zn8gkecaeyjhgw3xdgbj.png\" width=\"400\" align=\"center\"></a>\n\n<h1 align=\"center\"><font size=\"5\">Classification with Python</font></h1>"
        },
        {
            "cell_type": "markdown",
            "metadata": {
                "button": false,
                "new_sheet": false,
                "run_control": {
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            },
            "source": "In this notebook we try to practice all the classification algorithms that we learned in this course.\n\nWe load a dataset using Pandas library, and apply the following algorithms, and find the best one for this specific dataset by accuracy evaluation methods.\n\nLets first load required libraries:"
        },
        {
            "cell_type": "code",
            "execution_count": 91,
            "metadata": {
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                "run_control": {
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                }
            },
            "outputs": [],
            "source": "import itertools\nimport numpy as np\nimport matplotlib.pyplot as plt\nfrom matplotlib.ticker import NullFormatter\nimport pandas as pd\nimport numpy as np\nimport matplotlib.ticker as ticker\nfrom sklearn import preprocessing\n%matplotlib inline"
        },
        {
            "cell_type": "markdown",
            "metadata": {
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                "new_sheet": false,
                "run_control": {
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                }
            },
            "source": "### About dataset"
        },
        {
            "cell_type": "markdown",
            "metadata": {
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                "run_control": {
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            },
            "source": "This dataset is about past loans. The __Loan_train.csv__ data set includes details of 346 customers whose loan are already paid off or defaulted. It includes following fields:\n\n| Field          | Description                                                                           |\n|----------------|---------------------------------------------------------------------------------------|\n| Loan_status    | Whether a loan is paid off on in collection                                           |\n| Principal      | Basic principal loan amount at the                                                    |\n| Terms          | Origination terms which can be weekly (7 days), biweekly, and monthly payoff schedule |\n| Effective_date | When the loan got originated and took effects                                         |\n| Due_date       | Since it\u2019s one-time payoff schedule, each loan has one single due date                |\n| Age            | Age of applicant                                                                      |\n| Education      | Education of applicant                                                                |\n| Gender         | The gender of applicant                                                               |"
        },
        {
            "cell_type": "markdown",
            "metadata": {
                "button": false,
                "new_sheet": false,
                "run_control": {
                    "read_only": false
                }
            },
            "source": "Lets download the dataset"
        },
        {
            "cell_type": "code",
            "execution_count": 92,
            "metadata": {
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                "run_control": {
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            },
            "outputs": [
                {
                    "name": "stdout",
                    "output_type": "stream",
                    "text": "--2020-01-09 18:30:08--  https://s3-api.us-geo.objectstorage.softlayer.net/cf-courses-data/CognitiveClass/ML0101ENv3/labs/loan_train.csv\nResolving s3-api.us-geo.objectstorage.softlayer.net (s3-api.us-geo.objectstorage.softlayer.net)... 67.228.254.196\nConnecting to s3-api.us-geo.objectstorage.softlayer.net (s3-api.us-geo.objectstorage.softlayer.net)|67.228.254.196|:443... connected.\nHTTP request sent, awaiting response... 200 OK\nLength: 23101 (23K) [text/csv]\nSaving to: \u2018loan_train.csv\u2019\n\n100%[======================================>] 23,101      --.-K/s   in 0.002s  \n\n2020-01-09 18:30:08 (14.1 MB/s) - \u2018loan_train.csv\u2019 saved [23101/23101]\n\n"
                }
            ],
            "source": "!wget -O loan_train.csv https://s3-api.us-geo.objectstorage.softlayer.net/cf-courses-data/CognitiveClass/ML0101ENv3/labs/loan_train.csv"
        },
        {
            "cell_type": "markdown",
            "metadata": {
                "button": false,
                "new_sheet": false,
                "run_control": {
                    "read_only": false
                }
            },
            "source": "### Load Data From CSV File  "
        },
        {
            "cell_type": "code",
            "execution_count": 93,
            "metadata": {
                "button": false,
                "new_sheet": false,
                "run_control": {
                    "read_only": false
                }
            },
            "outputs": [
                {
                    "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>Unnamed: 0</th>\n      <th>Unnamed: 0.1</th>\n      <th>loan_status</th>\n      <th>Principal</th>\n      <th>terms</th>\n      <th>effective_date</th>\n      <th>due_date</th>\n      <th>age</th>\n      <th>education</th>\n      <th>Gender</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>0</td>\n      <td>0</td>\n      <td>PAIDOFF</td>\n      <td>1000</td>\n      <td>30</td>\n      <td>9/8/2016</td>\n      <td>10/7/2016</td>\n      <td>45</td>\n      <td>High School or Below</td>\n      <td>male</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>2</td>\n      <td>2</td>\n      <td>PAIDOFF</td>\n      <td>1000</td>\n      <td>30</td>\n      <td>9/8/2016</td>\n      <td>10/7/2016</td>\n      <td>33</td>\n      <td>Bechalor</td>\n      <td>female</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>3</td>\n      <td>3</td>\n      <td>PAIDOFF</td>\n      <td>1000</td>\n      <td>15</td>\n      <td>9/8/2016</td>\n      <td>9/22/2016</td>\n      <td>27</td>\n      <td>college</td>\n      <td>male</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>4</td>\n      <td>4</td>\n      <td>PAIDOFF</td>\n      <td>1000</td>\n      <td>30</td>\n      <td>9/9/2016</td>\n      <td>10/8/2016</td>\n      <td>28</td>\n      <td>college</td>\n      <td>female</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>6</td>\n      <td>6</td>\n      <td>PAIDOFF</td>\n      <td>1000</td>\n      <td>30</td>\n      <td>9/9/2016</td>\n      <td>10/8/2016</td>\n      <td>29</td>\n      <td>college</td>\n      <td>male</td>\n    </tr>\n  </tbody>\n</table>\n</div>",
                        "text/plain": "   Unnamed: 0  Unnamed: 0.1 loan_status  Principal  terms effective_date  \\\n0           0             0     PAIDOFF       1000     30       9/8/2016   \n1           2             2     PAIDOFF       1000     30       9/8/2016   \n2           3             3     PAIDOFF       1000     15       9/8/2016   \n3           4             4     PAIDOFF       1000     30       9/9/2016   \n4           6             6     PAIDOFF       1000     30       9/9/2016   \n\n    due_date  age             education  Gender  \n0  10/7/2016   45  High School or Below    male  \n1  10/7/2016   33              Bechalor  female  \n2  9/22/2016   27               college    male  \n3  10/8/2016   28               college  female  \n4  10/8/2016   29               college    male  "
                    },
                    "execution_count": 93,
                    "metadata": {},
                    "output_type": "execute_result"
                }
            ],
            "source": "df = pd.read_csv('loan_train.csv')\ndf.head()"
        },
        {
            "cell_type": "code",
            "execution_count": 94,
            "metadata": {},
            "outputs": [
                {
                    "data": {
                        "text/plain": "(346, 10)"
                    },
                    "execution_count": 94,
                    "metadata": {},
                    "output_type": "execute_result"
                }
            ],
            "source": "df.shape"
        },
        {
            "cell_type": "markdown",
            "metadata": {
                "button": false,
                "new_sheet": false,
                "run_control": {
                    "read_only": false
                }
            },
            "source": "### Convert to date time object "
        },
        {
            "cell_type": "code",
            "execution_count": 95,
            "metadata": {
                "button": false,
                "new_sheet": false,
                "run_control": {
                    "read_only": false
                }
            },
            "outputs": [
                {
                    "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>Unnamed: 0</th>\n      <th>Unnamed: 0.1</th>\n      <th>loan_status</th>\n      <th>Principal</th>\n      <th>terms</th>\n      <th>effective_date</th>\n      <th>due_date</th>\n      <th>age</th>\n      <th>education</th>\n      <th>Gender</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>0</td>\n      <td>0</td>\n      <td>PAIDOFF</td>\n      <td>1000</td>\n      <td>30</td>\n      <td>2016-09-08</td>\n      <td>2016-10-07</td>\n      <td>45</td>\n      <td>High School or Below</td>\n      <td>male</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>2</td>\n      <td>2</td>\n      <td>PAIDOFF</td>\n      <td>1000</td>\n      <td>30</td>\n      <td>2016-09-08</td>\n      <td>2016-10-07</td>\n      <td>33</td>\n      <td>Bechalor</td>\n      <td>female</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>3</td>\n      <td>3</td>\n      <td>PAIDOFF</td>\n      <td>1000</td>\n      <td>15</td>\n      <td>2016-09-08</td>\n      <td>2016-09-22</td>\n      <td>27</td>\n      <td>college</td>\n      <td>male</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>4</td>\n      <td>4</td>\n      <td>PAIDOFF</td>\n      <td>1000</td>\n      <td>30</td>\n      <td>2016-09-09</td>\n      <td>2016-10-08</td>\n      <td>28</td>\n      <td>college</td>\n      <td>female</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>6</td>\n      <td>6</td>\n      <td>PAIDOFF</td>\n      <td>1000</td>\n      <td>30</td>\n      <td>2016-09-09</td>\n      <td>2016-10-08</td>\n      <td>29</td>\n      <td>college</td>\n      <td>male</td>\n    </tr>\n  </tbody>\n</table>\n</div>",
                        "text/plain": "   Unnamed: 0  Unnamed: 0.1 loan_status  Principal  terms effective_date  \\\n0           0             0     PAIDOFF       1000     30     2016-09-08   \n1           2             2     PAIDOFF       1000     30     2016-09-08   \n2           3             3     PAIDOFF       1000     15     2016-09-08   \n3           4             4     PAIDOFF       1000     30     2016-09-09   \n4           6             6     PAIDOFF       1000     30     2016-09-09   \n\n    due_date  age             education  Gender  \n0 2016-10-07   45  High School or Below    male  \n1 2016-10-07   33              Bechalor  female  \n2 2016-09-22   27               college    male  \n3 2016-10-08   28               college  female  \n4 2016-10-08   29               college    male  "
                    },
                    "execution_count": 95,
                    "metadata": {},
                    "output_type": "execute_result"
                }
            ],
            "source": "df['due_date'] = pd.to_datetime(df['due_date'])\ndf['effective_date'] = pd.to_datetime(df['effective_date'])\ndf.head()"
        },
        {
            "cell_type": "markdown",
            "metadata": {
                "button": false,
                "new_sheet": false,
                "run_control": {
                    "read_only": false
                }
            },
            "source": "# Data visualization and pre-processing\n\n"
        },
        {
            "cell_type": "markdown",
            "metadata": {
                "button": false,
                "new_sheet": false,
                "run_control": {
                    "read_only": false
                }
            },
            "source": "Let\u2019s see how many of each class is in our data set "
        },
        {
            "cell_type": "code",
            "execution_count": 96,
            "metadata": {
                "button": false,
                "new_sheet": false,
                "run_control": {
                    "read_only": false
                }
            },
            "outputs": [
                {
                    "data": {
                        "text/plain": "PAIDOFF       260\nCOLLECTION     86\nName: loan_status, dtype: int64"
                    },
                    "execution_count": 96,
                    "metadata": {},
                    "output_type": "execute_result"
                }
            ],
            "source": "df['loan_status'].value_counts()"
        },
        {
            "cell_type": "markdown",
            "metadata": {
                "button": false,
                "new_sheet": false,
                "run_control": {
                    "read_only": false
                }
            },
            "source": "260 people have paid off the loan on time while 86 have gone into collection \n"
        },
        {
            "cell_type": "markdown",
            "metadata": {},
            "source": "Lets plot some columns to underestand data better:"
        },
        {
            "cell_type": "code",
            "execution_count": 97,
            "metadata": {},
            "outputs": [
                {
                    "name": "stdout",
                    "output_type": "stream",
                    "text": "Solving environment: done\n\n# All requested packages already installed.\n\n"
                }
            ],
            "source": "# notice: installing seaborn might takes a few minutes\n!conda install -c anaconda seaborn -y"
        },
        {
            "cell_type": "code",
            "execution_count": 98,
            "metadata": {},
            "outputs": [
                {
                    "data": {
                        "image/png": "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\n",
                        "text/plain": "<Figure size 432x216 with 2 Axes>"
                    },
                    "metadata": {
                        "needs_background": "light"
                    },
                    "output_type": "display_data"
                }
            ],
            "source": "import seaborn as sns\n\nbins = np.linspace(df.Principal.min(), df.Principal.max(), 10)\ng = sns.FacetGrid(df, col=\"Gender\", hue=\"loan_status\", palette=\"Set1\", col_wrap=2)\ng.map(plt.hist, 'Principal', bins=bins, ec=\"k\")\n\ng.axes[-1].legend()\nplt.show()"
        },
        {
            "cell_type": "code",
            "execution_count": 99,
            "metadata": {
                "button": false,
                "new_sheet": false,
                "run_control": {
                    "read_only": false
                }
            },
            "outputs": [
                {
                    "data": {
                        "image/png": 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EtJ67Pd/wsbw/OIiIyRFRHxH1VVVVHQzTrLy5nZhtrpBRfKOAUyWdCFQCO5E7o9pFUu/kLKoG+KTrwjQzs56mzTOoiLguImoiYjBwLvB8RJwHzALOSjabADzZZVGamVmP05mpjq4BfijpPXLXpB5IJyQzM7N2/lA3ImYDs5Pn7wOHpR+SmZmZJ4s1M7OMcoIyM7NMcoIyM7NMcoIyM7NMcoIyM7NMcoIyM7NMcoIyM7NMcoIyM7NMcoIyM7NMcoIyM7NMcoIyM7NMcoIyM7NMcoIyM7NMcoIyM7NMcoIyM7NMcoIyM7NMcoIyM7NMcoIyM7NMajNBSaqU9Iqk1yUtkvSTpLxW0suS3pX0mKRtuz5cMzPrKQo5g1oHjImIbwF1wHhJRwC3AHdGxBDgM+CirgvTzMx6mjYTVOSsTlYrkiWAMcATSflDwOldEqGZmfVIBV2DktRLUgOwHJgJ/BX4PCLWJ5s0AQO28N6LJc2VNHfFihVpxGxWdtxOzDZXUIKKiA0RUQfUAIcBB+bbbAvvnRwR9RFRX1VV1fFIzcqY24nZ5to1ii8iPgdmA0cAu0jqnbxUA3ySbmhmZtaTFTKKr0rSLsnz7YHjgcXALOCsZLMJwJNdFaSZmfU8vdvehGrgIUm9yCW0xyNihqQ3gUcl/RvwGvBAF8ZpZmY9TJsJKiIWACPylL9P7nqUmZlZ6jyThJmZZZITlJmZZZITlJmZZZITlJmZZVLZJqhB1dVISmUxM7PuV8gw85L04bJlNO1Vk0pdNZ80pVKPmZkVrmzPoMzMrLQ5QZmZWSY5QZmZWSY5QZmZWSY5QZmZWSY5QZmZWSY5QZmZWSY5QZmZWSY5QZmZWSY5QZmZWSY5QZmZWSa1maAk7S1plqTFkhZJ+kFS3k/STEnvJo+7dn24ZmbWUxRyBrUeuDIiDgSOACZKGgZcCzwXEUOA55J1MzOzVLSZoCJiaUTMT55/CSwGBgCnAQ8lmz0EnN5VQZqZWc/TrmtQkgYDI4CXgT0jYinkkhiwxxbec7GkuZLmrlixonPRmpUptxOzzRWcoCT1AX4HTIqILwp9X0RMjoj6iKivqqrqSIxmZc/txGxzBSUoSRXkktPDEfHvSfGnkqqT16uB5V0TopmZ9USFjOIT8ACwOCLuaPXSU8CE5PkE4Mn0w7PusB20edv7QpZB1dXFPhQzKyOF3PJ9FHA+8IakhqTseuBm4HFJFwEfAmd3TYjW1dYBTXvVdLqemk+aOh+MmVmizQQVEXMAbeHlsemGk03qVZHKf77qvW1q/4mrV0Uq9ZiZZVUhZ1A9Xmz4msNveLrT9bz8r+NTqae5LjOzcuapjszMLJOcoMzMLJOcoMzMLJOcoMzMLJOcoMzMLJOcoMzMLJOcoMzMLJOcoMzMLJOcoMzMLJPKdiaJtKYnMjOz4ijbBJXW9ETgaYXMzIrBXXxmZpZJTlBmZpZJTlBmZpZJZXsNqtylOQjE95ayrBlUXc2Hy5Z1up7tt+nFV99sSCEiGNi/P0uWLk2lLiuME1SJ8iAQK2cfLluW2l2e06inuS7rXm128Ul6UNJySQtblfWTNFPSu8njrl0bppmZ9TSFXIOaAmz6Ffta4LmIGAI8l6xbD7cdICmVZVB1dbEPx8yKrM0uvoj4k6TBmxSfBoxOnj8EzAauSTEuK0HrwN0pZpaajo7i2zMilgIkj3tsaUNJF0uaK2nuihUrOrg7s/JWDu1kUHV1amfQZtANgyQiYjIwGaC+vj66en9mpagc2klaAxvAZ9CW09EzqE8lVQMkj8vTC8nMzKzjCeopYELyfALwZDrhmJmZ5RQyzHwq8BfgAElNki4CbgZOkPQucEKybmZmlppCRvH9yxZeGptyLGZmZi0yNRefRwGZmVmzTE115FFAZmbWLFMJyoojrYlnPemsmaXJCcpSm3jWk86aWZoydQ3KzMysmROUmZllkhOUmZllkhOUmZllkhOUZZLvLdU9/NtDyzKP4rNM8r2luod/e2hZ5gRlqUnr91TNdZlZz+YEZalJ6/dU4N9UmZmvQZmZWUb5DMoyKc3uwm16VaRyEX9g//4sWbo0hYjKU6pdvL239fRbBRhUXc2Hy5alUlcWP99OUJZJaXcXpjEQwIMAti7tv5mn32pbuQ9ycRefmZllUqbOoNLsIjAzs9KWqQTlUWBmZtasUwlK0njgZ0Av4FcRcXMqUZmlqBzvd5XmxXErTFqDbQC26V3BN+u/TqWuctbhBCWpF3APcALQBLwq6amIeDOt4MzSUI73u0rr4ri71Av3jQfudLvODJI4DHgvIt6PiH8AjwKnpROWmZn1dIqIjr1ROgsYHxH/I1k/Hzg8Ii7bZLuLgYuT1QOAtzsebovdgZUp1JMFPpZs6uixrIyIdp9qdVE7Af9NsqqnH0tB7aQz16DydcZulu0iYjIwuRP72XzH0tyIqE+zzmLxsWRTdx9LV7QT8N8kq3wshelMF18TsHer9Rrgk86FY2ZmltOZBPUqMERSraRtgXOBp9IJy8zMeroOd/FFxHpJlwHPkBtm/mBELEotsq1LvSukiHws2VQux1IuxwE+lqzqsmPp8CAJMzOzruS5+MzMLJOcoMzMLJMyn6Ak7S1plqTFkhZJ+kFS3k/STEnvJo+7FjvWtkiqlPSKpNeTY/lJUl4r6eXkWB5LBp1knqRekl6TNCNZL8njAJDUKOkNSQ2S5iZlJfMZczvJtnJpK93dTjKfoID1wJURcSBwBDBR0jDgWuC5iBgCPJesZ906YExEfAuoA8ZLOgK4BbgzOZbPgIuKGGN7/ABY3Gq9VI+j2XERUdfqNx2l9BlzO8m2cmor3ddOIqKkFuBJcvP/vQ1UJ2XVwNvFjq2dx7EDMB84nNyvsHsn5UcCzxQ7vgLir0k+jGOAGeR+uF1yx9HqeBqB3TcpK9nPmNtJdpZyaivd3U5K4QyqhaTBwAjgZWDPiFgKkDzuUbzICpec6jcAy4GZwF+BzyNifbJJEzCgWPG1w13A1cA3yfpulOZxNAvgj5LmJdMOQel+xgbjdpIl5dRWurWdZOp+UFsjqQ/wO2BSRHyR1rT33S0iNgB1knYBpgEH5tuse6NqH0knA8sjYp6k0c3FeTbN9HFsYlREfCJpD2CmpLeKHVBHuJ1kSxm2lW5tJyWRoCRVkGt0D0fEvyfFn0qqjoilkqrJfdMqGRHxuaTZ5K4X7CKpd/KNqhSmjBoFnCrpRKAS2Inct8RSO44WEfFJ8rhc0jRys/WX1GfM7SSTyqqtdHc7yXwXn3JfAR8AFkfEHa1eegqYkDyfQK7PPdMkVSXfCJG0PXA8uQuns4Czks0yfywRcV1E1ETEYHJTXD0fEedRYsfRTNKOkvo2PwfGAQspoc+Y20k2lVNbKUo7KfZFtwIuyh1N7vR3AdCQLCeS68d9Dng3eexX7FgLOJbhwGvJsSwEbkjK9wFeAd4DfgtsV+xY23FMo4EZpXwcSdyvJ8si4EdJecl8xtxOsr+UelspRjvxVEdmZpZJme/iMzOznskJyszMMskJyszMMskJyszMMskJyszMMskJyszMMskJyszMMskJqsRJmp5M3LioefJGSRdJekfSbEm/lHR3Ul4l6XeSXk2WUcWN3qx7uJ2UJv9Qt8RJ6hcRf0umhHkV+C/Ai8BI4EvgeeD1iLhM0iPAvRExR9JAclP855uE06ysuJ2UppKYLNa26gpJZyTP9wbOB/5vRPwNQNJvgf2T148HhrWa4XonSX0j4svuDNisCNxOSpATVAlLpu8/HjgyItYksz6/Tf5bE0CuS/fIiPiqeyI0Kz63k9Lla1ClbWfgs6TRDSV3S4IdgG9L2lVSb+DMVtv/EbiseUVSXbdGa1YcbiclygmqtD0N9Ja0ALgReAn4GLiJ3N1UnwXeBP6ebH8FUC9pgaQ3gUu6P2Szbud2UqI8SKIMSeoTEauTb4bTgAcjYlqx4zLLEreT7PMZVHn6saQGcvfS+QCYXuR4zLLI7STjfAZlZmaZ5DMoMzPLJCcoMzPLJCcoMzPLJCcoMzPLJCcoMzPLpP8PlTlGZbaTvVAAAAAASUVORK5CYII=\n",
                        "text/plain": "<Figure size 432x216 with 2 Axes>"
                    },
                    "metadata": {
                        "needs_background": "light"
                    },
                    "output_type": "display_data"
                }
            ],
            "source": "bins = np.linspace(df.age.min(), df.age.max(), 10)\ng = sns.FacetGrid(df, col=\"Gender\", hue=\"loan_status\", palette=\"Set1\", col_wrap=2)\ng.map(plt.hist, 'age', bins=bins, ec=\"k\")\n\ng.axes[-1].legend()\nplt.show()"
        },
        {
            "cell_type": "markdown",
            "metadata": {
                "button": false,
                "new_sheet": false,
                "run_control": {
                    "read_only": false
                }
            },
            "source": "# Pre-processing:  Feature selection/extraction"
        },
        {
            "cell_type": "markdown",
            "metadata": {
                "button": false,
                "new_sheet": false,
                "run_control": {
                    "read_only": false
                }
            },
            "source": "### Lets look at the day of the week people get the loan "
        },
        {
            "cell_type": "code",
            "execution_count": 100,
            "metadata": {
                "button": false,
                "new_sheet": false,
                "run_control": {
                    "read_only": false
                }
            },
            "outputs": [
                {
                    "data": {
                        "image/png": 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\n",
                        "text/plain": "<Figure size 432x216 with 2 Axes>"
                    },
                    "metadata": {
                        "needs_background": "light"
                    },
                    "output_type": "display_data"
                }
            ],
            "source": "df['dayofweek'] = df['effective_date'].dt.dayofweek\nbins = np.linspace(df.dayofweek.min(), df.dayofweek.max(), 10)\ng = sns.FacetGrid(df, col=\"Gender\", hue=\"loan_status\", palette=\"Set1\", col_wrap=2)\ng.map(plt.hist, 'dayofweek', bins=bins, ec=\"k\")\ng.axes[-1].legend()\nplt.show()\n"
        },
        {
            "cell_type": "markdown",
            "metadata": {
                "button": false,
                "new_sheet": false,
                "run_control": {
                    "read_only": false
                }
            },
            "source": "We see that people who get the loan at the end of the week dont pay it off, so lets use Feature binarization to set a threshold values less then day 4 "
        },
        {
            "cell_type": "code",
            "execution_count": 101,
            "metadata": {
                "button": false,
                "new_sheet": false,
                "run_control": {
                    "read_only": false
                }
            },
            "outputs": [
                {
                    "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>Unnamed: 0</th>\n      <th>Unnamed: 0.1</th>\n      <th>loan_status</th>\n      <th>Principal</th>\n      <th>terms</th>\n      <th>effective_date</th>\n      <th>due_date</th>\n      <th>age</th>\n      <th>education</th>\n      <th>Gender</th>\n      <th>dayofweek</th>\n      <th>weekend</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>0</td>\n      <td>0</td>\n      <td>PAIDOFF</td>\n      <td>1000</td>\n      <td>30</td>\n      <td>2016-09-08</td>\n      <td>2016-10-07</td>\n      <td>45</td>\n      <td>High School or Below</td>\n      <td>male</td>\n      <td>3</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>2</td>\n      <td>2</td>\n      <td>PAIDOFF</td>\n      <td>1000</td>\n      <td>30</td>\n      <td>2016-09-08</td>\n      <td>2016-10-07</td>\n      <td>33</td>\n      <td>Bechalor</td>\n      <td>female</td>\n      <td>3</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>3</td>\n      <td>3</td>\n      <td>PAIDOFF</td>\n      <td>1000</td>\n      <td>15</td>\n      <td>2016-09-08</td>\n      <td>2016-09-22</td>\n      <td>27</td>\n      <td>college</td>\n      <td>male</td>\n      <td>3</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>4</td>\n      <td>4</td>\n      <td>PAIDOFF</td>\n      <td>1000</td>\n      <td>30</td>\n      <td>2016-09-09</td>\n      <td>2016-10-08</td>\n      <td>28</td>\n      <td>college</td>\n      <td>female</td>\n      <td>4</td>\n      <td>1</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>6</td>\n      <td>6</td>\n      <td>PAIDOFF</td>\n      <td>1000</td>\n      <td>30</td>\n      <td>2016-09-09</td>\n      <td>2016-10-08</td>\n      <td>29</td>\n      <td>college</td>\n      <td>male</td>\n      <td>4</td>\n      <td>1</td>\n    </tr>\n  </tbody>\n</table>\n</div>",
                        "text/plain": "   Unnamed: 0  Unnamed: 0.1 loan_status  Principal  terms effective_date  \\\n0           0             0     PAIDOFF       1000     30     2016-09-08   \n1           2             2     PAIDOFF       1000     30     2016-09-08   \n2           3             3     PAIDOFF       1000     15     2016-09-08   \n3           4             4     PAIDOFF       1000     30     2016-09-09   \n4           6             6     PAIDOFF       1000     30     2016-09-09   \n\n    due_date  age             education  Gender  dayofweek  weekend  \n0 2016-10-07   45  High School or Below    male          3        0  \n1 2016-10-07   33              Bechalor  female          3        0  \n2 2016-09-22   27               college    male          3        0  \n3 2016-10-08   28               college  female          4        1  \n4 2016-10-08   29               college    male          4        1  "
                    },
                    "execution_count": 101,
                    "metadata": {},
                    "output_type": "execute_result"
                }
            ],
            "source": "df['weekend'] = df['dayofweek'].apply(lambda x: 1 if (x>3)  else 0)\ndf.head()"
        },
        {
            "cell_type": "markdown",
            "metadata": {
                "button": false,
                "new_sheet": false,
                "run_control": {
                    "read_only": false
                }
            },
            "source": "## Convert Categorical features to numerical values"
        },
        {
            "cell_type": "markdown",
            "metadata": {
                "button": false,
                "new_sheet": false,
                "run_control": {
                    "read_only": false
                }
            },
            "source": "Lets look at gender:"
        },
        {
            "cell_type": "code",
            "execution_count": 102,
            "metadata": {
                "button": false,
                "new_sheet": false,
                "run_control": {
                    "read_only": false
                }
            },
            "outputs": [
                {
                    "data": {
                        "text/plain": "Gender  loan_status\nfemale  PAIDOFF        0.865385\n        COLLECTION     0.134615\nmale    PAIDOFF        0.731293\n        COLLECTION     0.268707\nName: loan_status, dtype: float64"
                    },
                    "execution_count": 102,
                    "metadata": {},
                    "output_type": "execute_result"
                }
            ],
            "source": "df.groupby(['Gender'])['loan_status'].value_counts(normalize=True)"
        },
        {
            "cell_type": "markdown",
            "metadata": {
                "button": false,
                "new_sheet": false,
                "run_control": {
                    "read_only": false
                }
            },
            "source": "86 % of female pay there loans while only 73 % of males pay there loan\n"
        },
        {
            "cell_type": "markdown",
            "metadata": {
                "button": false,
                "new_sheet": false,
                "run_control": {
                    "read_only": false
                }
            },
            "source": "Lets convert male to 0 and female to 1:\n"
        },
        {
            "cell_type": "code",
            "execution_count": 103,
            "metadata": {
                "button": false,
                "new_sheet": false,
                "run_control": {
                    "read_only": false
                }
            },
            "outputs": [
                {
                    "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>Unnamed: 0</th>\n      <th>Unnamed: 0.1</th>\n      <th>loan_status</th>\n      <th>Principal</th>\n      <th>terms</th>\n      <th>effective_date</th>\n      <th>due_date</th>\n      <th>age</th>\n      <th>education</th>\n      <th>Gender</th>\n      <th>dayofweek</th>\n      <th>weekend</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>0</td>\n      <td>0</td>\n      <td>PAIDOFF</td>\n      <td>1000</td>\n      <td>30</td>\n      <td>2016-09-08</td>\n      <td>2016-10-07</td>\n      <td>45</td>\n      <td>High School or Below</td>\n      <td>0</td>\n      <td>3</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>2</td>\n      <td>2</td>\n      <td>PAIDOFF</td>\n      <td>1000</td>\n      <td>30</td>\n      <td>2016-09-08</td>\n      <td>2016-10-07</td>\n      <td>33</td>\n      <td>Bechalor</td>\n      <td>1</td>\n      <td>3</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>3</td>\n      <td>3</td>\n      <td>PAIDOFF</td>\n      <td>1000</td>\n      <td>15</td>\n      <td>2016-09-08</td>\n      <td>2016-09-22</td>\n      <td>27</td>\n      <td>college</td>\n      <td>0</td>\n      <td>3</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>4</td>\n      <td>4</td>\n      <td>PAIDOFF</td>\n      <td>1000</td>\n      <td>30</td>\n      <td>2016-09-09</td>\n      <td>2016-10-08</td>\n      <td>28</td>\n      <td>college</td>\n      <td>1</td>\n      <td>4</td>\n      <td>1</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>6</td>\n      <td>6</td>\n      <td>PAIDOFF</td>\n      <td>1000</td>\n      <td>30</td>\n      <td>2016-09-09</td>\n      <td>2016-10-08</td>\n      <td>29</td>\n      <td>college</td>\n      <td>0</td>\n      <td>4</td>\n      <td>1</td>\n    </tr>\n  </tbody>\n</table>\n</div>",
                        "text/plain": "   Unnamed: 0  Unnamed: 0.1 loan_status  Principal  terms effective_date  \\\n0           0             0     PAIDOFF       1000     30     2016-09-08   \n1           2             2     PAIDOFF       1000     30     2016-09-08   \n2           3             3     PAIDOFF       1000     15     2016-09-08   \n3           4             4     PAIDOFF       1000     30     2016-09-09   \n4           6             6     PAIDOFF       1000     30     2016-09-09   \n\n    due_date  age             education  Gender  dayofweek  weekend  \n0 2016-10-07   45  High School or Below       0          3        0  \n1 2016-10-07   33              Bechalor       1          3        0  \n2 2016-09-22   27               college       0          3        0  \n3 2016-10-08   28               college       1          4        1  \n4 2016-10-08   29               college       0          4        1  "
                    },
                    "execution_count": 103,
                    "metadata": {},
                    "output_type": "execute_result"
                }
            ],
            "source": "df['Gender'].replace(to_replace=['male','female'], value=[0,1],inplace=True)\ndf.head()"
        },
        {
            "cell_type": "markdown",
            "metadata": {
                "button": false,
                "new_sheet": false,
                "run_control": {
                    "read_only": false
                }
            },
            "source": "## One Hot Encoding  \n#### How about education?"
        },
        {
            "cell_type": "code",
            "execution_count": 104,
            "metadata": {
                "button": false,
                "new_sheet": false,
                "run_control": {
                    "read_only": false
                }
            },
            "outputs": [
                {
                    "data": {
                        "text/plain": "education             loan_status\nBechalor              PAIDOFF        0.750000\n                      COLLECTION     0.250000\nHigh School or Below  PAIDOFF        0.741722\n                      COLLECTION     0.258278\nMaster or Above       COLLECTION     0.500000\n                      PAIDOFF        0.500000\ncollege               PAIDOFF        0.765101\n                      COLLECTION     0.234899\nName: loan_status, dtype: float64"
                    },
                    "execution_count": 104,
                    "metadata": {},
                    "output_type": "execute_result"
                }
            ],
            "source": "df.groupby(['education'])['loan_status'].value_counts(normalize=True)"
        },
        {
            "cell_type": "markdown",
            "metadata": {
                "button": false,
                "new_sheet": false,
                "run_control": {
                    "read_only": false
                }
            },
            "source": "#### Feature befor One Hot Encoding"
        },
        {
            "cell_type": "code",
            "execution_count": 105,
            "metadata": {
                "button": false,
                "new_sheet": false,
                "run_control": {
                    "read_only": false
                }
            },
            "outputs": [
                {
                    "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>Principal</th>\n      <th>terms</th>\n      <th>age</th>\n      <th>Gender</th>\n      <th>education</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>1000</td>\n      <td>30</td>\n      <td>45</td>\n      <td>0</td>\n      <td>High School or Below</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>1000</td>\n      <td>30</td>\n      <td>33</td>\n      <td>1</td>\n      <td>Bechalor</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>1000</td>\n      <td>15</td>\n      <td>27</td>\n      <td>0</td>\n      <td>college</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>1000</td>\n      <td>30</td>\n      <td>28</td>\n      <td>1</td>\n      <td>college</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>1000</td>\n      <td>30</td>\n      <td>29</td>\n      <td>0</td>\n      <td>college</td>\n    </tr>\n  </tbody>\n</table>\n</div>",
                        "text/plain": "   Principal  terms  age  Gender             education\n0       1000     30   45       0  High School or Below\n1       1000     30   33       1              Bechalor\n2       1000     15   27       0               college\n3       1000     30   28       1               college\n4       1000     30   29       0               college"
                    },
                    "execution_count": 105,
                    "metadata": {},
                    "output_type": "execute_result"
                }
            ],
            "source": "df[['Principal','terms','age','Gender','education']].head()"
        },
        {
            "cell_type": "markdown",
            "metadata": {
                "button": false,
                "new_sheet": false,
                "run_control": {
                    "read_only": false
                }
            },
            "source": "#### Use one hot encoding technique to conver categorical varables to binary variables and append them to the feature Data Frame "
        },
        {
            "cell_type": "code",
            "execution_count": 106,
            "metadata": {
                "button": false,
                "new_sheet": false,
                "run_control": {
                    "read_only": false
                }
            },
            "outputs": [
                {
                    "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>Principal</th>\n      <th>terms</th>\n      <th>age</th>\n      <th>Gender</th>\n      <th>weekend</th>\n      <th>Bechalor</th>\n      <th>High School or Below</th>\n      <th>college</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>1000</td>\n      <td>30</td>\n      <td>45</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>1000</td>\n      <td>30</td>\n      <td>33</td>\n      <td>1</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>1000</td>\n      <td>15</td>\n      <td>27</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>1000</td>\n      <td>30</td>\n      <td>28</td>\n      <td>1</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>1000</td>\n      <td>30</td>\n      <td>29</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n    </tr>\n  </tbody>\n</table>\n</div>",
                        "text/plain": "   Principal  terms  age  Gender  weekend  Bechalor  High School or Below  \\\n0       1000     30   45       0        0         0                     1   \n1       1000     30   33       1        0         1                     0   \n2       1000     15   27       0        0         0                     0   \n3       1000     30   28       1        1         0                     0   \n4       1000     30   29       0        1         0                     0   \n\n   college  \n0        0  \n1        0  \n2        1  \n3        1  \n4        1  "
                    },
                    "execution_count": 106,
                    "metadata": {},
                    "output_type": "execute_result"
                }
            ],
            "source": "Feature = df[['Principal','terms','age','Gender','weekend']]\nFeature = pd.concat([Feature,pd.get_dummies(df['education'])], axis=1)\nFeature.drop(['Master or Above'], axis = 1,inplace=True)\nFeature.head()\n"
        },
        {
            "cell_type": "markdown",
            "metadata": {
                "button": false,
                "new_sheet": false,
                "run_control": {
                    "read_only": false
                }
            },
            "source": "### Feature selection"
        },
        {
            "cell_type": "markdown",
            "metadata": {
                "button": false,
                "new_sheet": false,
                "run_control": {
                    "read_only": false
                }
            },
            "source": "Lets defind feature sets, X:"
        },
        {
            "cell_type": "code",
            "execution_count": 107,
            "metadata": {
                "button": false,
                "new_sheet": false,
                "run_control": {
                    "read_only": false
                }
            },
            "outputs": [
                {
                    "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>Principal</th>\n      <th>terms</th>\n      <th>age</th>\n      <th>Gender</th>\n      <th>weekend</th>\n      <th>Bechalor</th>\n      <th>High School or Below</th>\n      <th>college</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>1000</td>\n      <td>30</td>\n      <td>45</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>1000</td>\n      <td>30</td>\n      <td>33</td>\n      <td>1</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>1000</td>\n      <td>15</td>\n      <td>27</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>1000</td>\n      <td>30</td>\n      <td>28</td>\n      <td>1</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>1000</td>\n      <td>30</td>\n      <td>29</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n    </tr>\n  </tbody>\n</table>\n</div>",
                        "text/plain": "   Principal  terms  age  Gender  weekend  Bechalor  High School or Below  \\\n0       1000     30   45       0        0         0                     1   \n1       1000     30   33       1        0         1                     0   \n2       1000     15   27       0        0         0                     0   \n3       1000     30   28       1        1         0                     0   \n4       1000     30   29       0        1         0                     0   \n\n   college  \n0        0  \n1        0  \n2        1  \n3        1  \n4        1  "
                    },
                    "execution_count": 107,
                    "metadata": {},
                    "output_type": "execute_result"
                }
            ],
            "source": "X = Feature\nX[0:5]"
        },
        {
            "cell_type": "markdown",
            "metadata": {
                "button": false,
                "new_sheet": false,
                "run_control": {
                    "read_only": false
                }
            },
            "source": "What are our lables?"
        },
        {
            "cell_type": "code",
            "execution_count": 108,
            "metadata": {
                "button": false,
                "new_sheet": false,
                "run_control": {
                    "read_only": false
                }
            },
            "outputs": [
                {
                    "data": {
                        "text/plain": "array([0, 0, 0, 0, 0])"
                    },
                    "execution_count": 108,
                    "metadata": {},
                    "output_type": "execute_result"
                }
            ],
            "source": "\n# We encode our labels as 0 and 1 s\ny = df['loan_status'].replace(to_replace=['PAIDOFF','COLLECTION'], value=[0,1]).values\ny[0:5]"
        },
        {
            "cell_type": "markdown",
            "metadata": {
                "button": false,
                "new_sheet": false,
                "run_control": {
                    "read_only": false
                }
            },
            "source": "## Normalize Data "
        },
        {
            "cell_type": "markdown",
            "metadata": {
                "button": false,
                "new_sheet": false,
                "run_control": {
                    "read_only": false
                }
            },
            "source": "Data Standardization give data zero mean and unit variance (technically should be done after train test split )"
        },
        {
            "cell_type": "code",
            "execution_count": 109,
            "metadata": {
                "button": false,
                "new_sheet": false,
                "run_control": {
                    "read_only": false
                }
            },
            "outputs": [
                {
                    "name": "stderr",
                    "output_type": "stream",
                    "text": "/opt/conda/envs/Python36/lib/python3.6/site-packages/sklearn/preprocessing/data.py:645: DataConversionWarning: Data with input dtype uint8, int64 were all converted to float64 by StandardScaler.\n  return self.partial_fit(X, y)\n/opt/conda/envs/Python36/lib/python3.6/site-packages/ipykernel/__main__.py:1: DataConversionWarning: Data with input dtype uint8, int64 were all converted to float64 by StandardScaler.\n  if __name__ == '__main__':\n"
                },
                {
                    "data": {
                        "text/plain": "array([[ 0.51578458,  0.92071769,  2.33152555, -0.42056004, -1.20577805,\n        -0.38170062,  1.13639374, -0.86968108],\n       [ 0.51578458,  0.92071769,  0.34170148,  2.37778177, -1.20577805,\n         2.61985426, -0.87997669, -0.86968108],\n       [ 0.51578458, -0.95911111, -0.65321055, -0.42056004, -1.20577805,\n        -0.38170062, -0.87997669,  1.14984679],\n       [ 0.51578458,  0.92071769, -0.48739188,  2.37778177,  0.82934003,\n        -0.38170062, -0.87997669,  1.14984679],\n       [ 0.51578458,  0.92071769, -0.3215732 , -0.42056004,  0.82934003,\n        -0.38170062, -0.87997669,  1.14984679]])"
                    },
                    "execution_count": 109,
                    "metadata": {},
                    "output_type": "execute_result"
                }
            ],
            "source": "X= preprocessing.StandardScaler().fit(X).transform(X)\nX[0:5]"
        },
        {
            "cell_type": "markdown",
            "metadata": {
                "button": false,
                "new_sheet": false,
                "run_control": {
                    "read_only": false
                }
            },
            "source": "# Classification "
        },
        {
            "cell_type": "markdown",
            "metadata": {
                "button": false,
                "new_sheet": false,
                "run_control": {
                    "read_only": false
                }
            },
            "source": "Now, it is your turn, use the training set to build an accurate model. Then use the test set to report the accuracy of the model\nYou should use the following algorithm:\n- K Nearest Neighbor(KNN)\n- Decision Tree\n- Support Vector Machine\n- Logistic Regression\n\n\n\n__ Notice:__ \n- You can go above and change the pre-processing, feature selection, feature-extraction, and so on, to make a better model.\n- You should use either scikit-learn, Scipy or Numpy libraries for developing the classification algorithms.\n- You should include the code of the algorithm in the following cells."
        },
        {
            "cell_type": "markdown",
            "metadata": {},
            "source": "# K Nearest Neighbor(KNN)\nNotice: You should find the best k to build the model with the best accuracy.  \n**warning:** You should not use the __loan_test.csv__ for finding the best k, however, you can split your train_loan.csv into train and test to find the best __k__."
        },
        {
            "cell_type": "code",
            "execution_count": 110,
            "metadata": {},
            "outputs": [],
            "source": "# a dictionary for keeping all scores of the classifiers\ntrainScores={}\n"
        },
        {
            "cell_type": "code",
            "execution_count": 111,
            "metadata": {},
            "outputs": [
                {
                    "name": "stdout",
                    "output_type": "stream",
                    "text": "Train set: (276, 8) (276,)\nTest set: (70, 8) (70,)\n"
                }
            ],
            "source": "from sklearn.model_selection import train_test_split\nX_train, X_test, y_train, y_test = train_test_split( X, y, test_size=0.2, random_state=4)\nprint ('Train set:', X_train.shape,  y_train.shape)\nprint ('Test set:', X_test.shape,  y_test.shape)\n"
        },
        {
            "cell_type": "code",
            "execution_count": 112,
            "metadata": {},
            "outputs": [],
            "source": "from sklearn.metrics import jaccard_similarity_score\nfrom sklearn.metrics import f1_score\nfrom sklearn.metrics import log_loss\nfrom sklearn.model_selection import cross_val_score"
        },
        {
            "cell_type": "code",
            "execution_count": 113,
            "metadata": {},
            "outputs": [
                {
                    "name": "stdout",
                    "output_type": "stream",
                    "text": "Train set Accuracy:  0.8079710144927537\nTest set Accuracy:  0.7857142857142857\n"
                }
            ],
            "source": "# write your code here\n\nk = 7\n#Train Model and Predict  \nneigh = KNeighborsClassifier(n_neighbors = k).fit(X_train,y_train)\nneigh\nyhat = neigh.predict(X_test)\nyhat[0:5]\nfrom sklearn import metrics\nprint(\"Train set Accuracy: \", metrics.accuracy_score(y_train, neigh.predict(X_train)))\nprint(\"Test set Accuracy: \", metrics.accuracy_score(y_test, yhat))"
        },
        {
            "cell_type": "code",
            "execution_count": 114,
            "metadata": {},
            "outputs": [],
            "source": "clf_knn.fit(X_train,y_train)\ny_pred=best_clf.predict(X_train)\n"
        },
        {
            "cell_type": "code",
            "execution_count": 115,
            "metadata": {},
            "outputs": [],
            "source": "trainScores['KNN-jaccard']=jaccard_similarity_score(y_train, y_pred)\ntrainScores['KNN-f1-score']=f1_score(y_train, y_pred, average='weighted')"
        },
        {
            "cell_type": "code",
            "execution_count": 116,
            "metadata": {},
            "outputs": [
                {
                    "data": {
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XjerDWb1j3Y7jmuiIUN687wI8IoR0sO6ovXtE8vytE/jyn1Yx7y+fsvjOSS2O2TD+4eS9gNXAEBEZICLhNBaErJN3EpFhQDywqsm2NBHp5v0+HpgCbHUwq+kinnp/J5W19dzbxe5VNCcsxNPhCsUJg5O78+wtmRQeOc6tz62msqbO7UidnmPFQlXrgHuAN4HNwCJV3SgiD4rIjCa7zgUW6BfXgRwOfCIiucBK4Dequt6prKZrKD1WzfMf7Wb66BSG9rIJ6jq68f168tjcsawvOMrdf/+MWlu7w1HSWdbqzczM1OzsbLdjmCD2y2Wbeeb9nbw1/0sMTo5xO47xk79/sof/enkDszLT+N8vjw7qey7BSETWqGpma/vZCG7TJRSXV/HCqt1ck5FqhaKT+eo5/Sg6WsUfVmynV2wk35k6zO1InZIVC9MlPLlyJ7X1yrcusXsVndH8y4ZSVFbNY96CceO5/dyO1OlYsTCdXlFZFX/7eA/Xjk1lQGK023GMA0SEh64dSemxan7y6gYSYyKYNjKw07F3djYy2nR6f3p3B3UNyrcvtquKziw0xMNjXxnL6LQ4vr1gLat3H3I7UqdixcJ0avuPHucfn+zlhvFpNnirC4gKD+XZWyaQFteN255bTV6RreXtL1YsTKf2+L+3oyh3XzTY7SgmQHpGhzculhQWwrxnP2X/0eNuR+oUrFiYTiv/cCULV+9jVmZ6mxfeMR1bes8o/nLLBMqq6rjl2dUcPV7rdqQOz4qF6bQe//d2BLGrii5qZGoPnrxpPDtLj3HHC9lU1da3/iZzWlYsTKe071AlL2XnM3diOilxwTNzqgmsKYMT+c0NY/hk1yHuX5RDfUPnGITsBus6azqlx1bk4fEI37Srii5vZkYqxWXVPLRsM8ndN/HT6bY0a3u0WixE5GpgmaraxCumQ9hdWsE/Pyvg5kn96BUb6XYcEwRu9y7N+ucPdtErNpK7LrSlWdvKl2aoOUCeiPxKRIY7HciYM/WHFXmEhYj9QTBf8F9XDmf6mBT+940tLPks3+04HU6rxUJVb6RxbewdwF9EZJWI3CEiNm2nCTo7So7xytoCbjq3H8nd7arC/IfHI/zmhtFMHpTA9xavY+W2ErcjdSg+3eBW1TLgn8ACoA9wLfCZiHzLwWzGtNkf3skjIjSEb3zJrirMqSJCQ3jypvEM6dWdu/62hnX5R9yO1GG0WixEZLqIvEzj+thhwERVvQIYAzzgcD5jfLa9uJys3ELmTe5Poq2cZk6je2QYz39tAvFR4dz63Gr2HKxwO1KH4MuVxQ3AI6o6WlV/rarFAKpaCdzqaDpjfFRcXsVDr20mKiyEOy4Y6HYcE+SSYyN54baJ1DUoNz/7KaXHqt2OFPR8KRY/BT498UREuolIfwBVfceZWMa0rryqlsVr8rnpz59w7i/f4d9bS7j74sH0jA53O5rpAAYlxfDneRMoKqvi1udWU1FtS7O2pNWV8kQkG5isqjXe5+HAh6o6IQD5fGYr5XUNNXUNrNxWwis5Bby9qYjqugbS4rtxTUYq14xNYXCy9bswbfP2piLu+Gs25w9J4pl5mYSFdK2xyv5cKS/0RKEAUNUab8EwJiAaGpTsPYd5JaeAZev3c6SylvioMGZlpnPN2BTG9Y23QVam3S4d0YtfXjuK7y9Zz/f/uZ7f3GBLszbHl2JRIiIzVDULQERmAqXOxjIGth4o55WcArJyCik4cpzIMA9TR/TmmrEpnD8kqct9AjTOmTOxLwfKqnj07Tx6xUbwvWlnuR0p6PhSLO4E/i4ifwQE2Afc7Ggq02UVHjlOVm4hr6wtYMuBckI8wnmDE3ng8qFMHdGb6AibocY4495LhlBUVsX/vbuDXrGRzJvc3+1IQaXV3zxV3QGcKyIxNN7jsNVEjF8draxl2Yb9vLK2gE93H0IVMtLj+Nn0EVw9JsW6wZqAEBF+MXMkJeU1/GzpRpK7R3DFqD5uxwoaPn1ME5GrgLOByBNtear6oIO5TCdXVVvPii3FvLK2gHe3llBT38DAxGjuu2QoMzNS6G9rZRsXhIZ4eGzuWL76zMfcuzCHhJgIJg7o6XasoODLRIJPAFHARcAzwPU06UprjK/qG5SPdx7klbUFvLHhAOXVdSR1j+DGc/txzdgURqX2sBuLxnXdwkP487wJXP/ER3z9+dUsvmsyQ3tZLztfus6uU9XRTb7GAEtUdWpgIvrGus4GJ1VlY2EZr6wtICu3kOLyamIiQrn87MYb1ZMHJRLisQJhgk/+4Uqu+7+PCPEI/7xrcqddF8WfXWervF8rRSQFOAgMOJNwpvPbe7CSV3MKeCWngB0lFYSFCBcOS2ZmRgqXDu9FZFiI2xGNaVFafBTPfW0is59cxbxnP2XxnZPpERXmdizX+FIslopIHPBr4DNAgacdTWU6pIPHqnltfeON6s/2Nk7QNnFAT247byBXjupNXJQNzzEdy4iUWJ68aTzz/vIpt7+QzQu3TeyyH3RabIYSEQ9wrqp+5H0eAUSq6tEA5fOZNUO5o7KmjuWbinhlbQHv5ZVS36Cc1bs7MzNSmZGRQmonvXQ3XcvS3EK+9eJarhzVmz/OHYenEzWd+qUZSlUbROS3wCTv82rAZtzq4mrrG/ggr5RXcgp4a2MRx2vrSekRye3nD+SasSmc1TvW7YjG+NX0MSnsP3qcXy7bwu+T85h/2VC3IwWcL81Qb4nIl2m8qd2m1c5FZBrweyAEeEZVHz7p9Udo7GUFjT2uklU1TkQygD8BsUA98JCqLmzLuY0zausbuOoP77Ot6Bg9uoVxzdhUrslIYUL/np3q05YxJ7v9/IFsKzrG79/JY2iv7lw1umuNwfClWNwPRAN1IlJF4yhuVdUWPz6KSAjwOHAZkA+sFpEsVd10Yh9Vnd9k/2/RuCIfQCVws6rmeW+qrxGRN1XVVipx2Qd5pWwrOsaPrx7Bjef2JSK0a7bfmq5HRHjo2pHsKq3gOy/l0C8hipGpPdyOFTC+LKvaXVU9qhquqrHe5760M0wEtqvqTu9EhAuAmS3sPxd40XvObaqa5/2+ECgGknw4p3HYqzkF9OgWxk3n9rNCYbqciNAQnrhxPD2jwrn9hWyKy6taf1Mn4ctKeRc09/Dh2Kk0ziN1Qr53W3Pn6Edjd9wVzbw2EQincQ1w46LjNfW8tamIK0f1JjzUJvEzXVNS9wienpfJkcpavvHXNVTV1rsdKSB8+Y3/bpPHj4GlwM98eF9zDdinu+cxB1isql/4qYtIH+CvwNdUteGUE4jcISLZIpJdUmKLrzvtnS1FVNbUM31MittRjHHV2Sk9+N2sMazde4QfLllPG2/ndki+NENNb/K4DBgJFPlw7HwgvcnzNKDwNPvOwdsEdYKIxAKvAT9S1Y9Pk+0pVc1U1cykJGulclpWTiHJ3SM4Z0CC21GMcd0Vo/ow/9KhLFlbwFPv7XQ7juPa05aQT2PBaM1qYIiIDPAuljQHyDp5JxEZBsQDq5psCwdeBl5Q1ZfakdH42dHjtby7tYTpY1Jseg5jvL59yWCuGt2Hh9/YwjubffkM3XH5MpHgY/yn+cgDZAC5rb1PVetE5B7gTRq7zj6rqhtF5EEg+8RiSjTe2F5wUrfcWcAFQIKI3OLddouq5vjw32Qc8OaGA9TUNzDDmqCM+ZyI8Jvrx7DnYAX3LshhyTc776SDvkwkOK/J0zpgt6p+6GiqdrAR3M668ZlP2He4kncfuNBmhjXmJPuPHmfGHz+kW1gIr949hfjojjO1ja8juH1phloM/E1Vn1fVvwMfi0jUGSc0HUZxeRUf7ShlxpgUKxTGNKNPj248edN4DpRVcdff11Bbf0p/nA7Pl2LxDtB0gp9uwNvOxAm86rp6luY2rvFsmvfauv00KNYEZUwLxvWN5+HrRvHxzkP8LGuj23H8zpdiEamqx0488X7faa4sDh6r4dsL1rLw071uRwlaWbmFDO8Ty5BO2hZrjL9cNy6Nb3xpIH//ZC9/XbXb7Th+5UuxqBCRcSeeiMh4oNN8DE+J68YFQ5J4aU0+9Q2dv690W+07VMnavUfsqsIYH33v8rO45KxkfrZ0Ex9uL3U7jt/4UizuA14SkfdF5H1gIXCPs7ECa/aEdPYfreL9PBvYd7Ks3MahMdPHdK1J04xprxCP8OicDAYlRfPNv3/G7tIKtyP5hS+D8lYDZwF3Ad8EhqvqGqeDBdKlw3vRMzqcRdn7Wt+5i8nKKWR8v3jS4jtNy6MxjuseGcYzN0/AI3Db86spq6p1O9IZ82VuqLuBaFXdoKrrgRgR+abz0QInPNTDtWNTWb6piIPHbLmOE7YeKGdrUTkzM6wJypi26psQxf99dTx7DlbyrX+s7fDN3L40Q93edGpwVT0M3O5cJHfMykyntl55eW2B21GCRlZuASEe4cpR1gRlTHtMGpTAz2eezcptJTz8+ma345wRX4qFR5p0rveuU9FxRpz4aFjv7oxJj2NR9r4uMSlYa1SVpbn7mTwogcSYCLfjGNNhffWcfsyb1I+n39/FSx24qduXYvEmsEhELhGRi2mc8O8NZ2O5Y3ZmOtuKjpGbH3RLjAdczr4j7D1Uab2gjPGDH189gimDE/ivlzeQvfuQ23HaxZdi8f9oHJh3F3C39/vvOhnKLdPH9KFbWAgLV3fc6u8vr+YUEh7q4fKRvd2OYkyHFxri4fGvjCMlLpI7/7amQw4C9qU3VIOqPqGq16vql4FlwHecjxZ43SPDuHJUH5bmFlJZU+d2HNfUNyivrd/PxcOSiY0MczuOMZ1CXFQ4z8ybQHVtA19/PpuK6o71N8anKcpFJFFE7hKR94B3gV6OpnLR7AnpHKuuY9n6A25Hcc3HOw9SUl7NDOsFZYxfDU6O4Q9fGcvWA2V8Z1EuDR2oh9Rpi4WIdBeRm0XkDeBTYDAwUFUHqeoDAUsYYBP6xzMwMZpFXbgpKiunkJiIUC4+K9ntKMZ0OhcNS+aHVw7njY0HePSdPLfj+KylK4ti4DbgIWCQqn4HqAlIKheJCDdkpvPp7kPsLDnW+hs6meq6epZt2M/Us3sRGRbidhxjOqXbzhvADePT+MM7efxr3ekWEA0uLRWLHwKRwJ+AH4jIoMBEct+Xx6US4hEWZee7HSXgVm4tobyqznpBGeMgEeG/rx1JZr94Hngpl/UdoAfmaYuFqj6iqucAMwABXgFSROT/icjQQAV0Q3JsJBcNS+Kfn+VT1wnnpW9JVm4hPaPDmTI40e0oxnRqEaEhPHHTeBKiI7j9hWyKy6rcjtQiX3pD7VTVh1R1FDAB6AG87ngyl83KTKekvJp3t3adyQUrqut4e3MRV47qTVhIe5ZnN8a0RWJMBE/fnMnR47Xc8dc1VNXWux3ptNr0F0FV16vqD1W10zdJXXRWMokxESzswCMu22r5piKqahuYMSbV7SjGdBkjUmJ5ZHYGOfuO8IMl64N2Bgn7+HgaYSEevjw+lRVbiikuD+7LQ3/Jyi0kpUckmf3i3Y5iTJcybWRvvnPZUF5eW8ATK3e6HadZVixaMCsznfoGZclnnX9ywcMVNby3rYTpY1LweGydbWMC7Z6LB3P16D786s0tvL2pyO04p2hpnMUDIpIeyDDBZlBSDBP6x7NodeefXPD1DQeoa1CmWy8oY1whIvz6+jGMTOnBvQvWsvVAuduRvqClK4tU4CMRec87ertLdo+ZlZnOztIKsvccdjuKo17NKWBgUjRnp8S6HcWYLqtbeAhP35xJVEQoX39hNYcqgmdoW0tdZ+cDfYEfA6OBdSLyundUd/dABXTblaP6EB0e0qlHdB84WsWnuw8xc0wqTWajN8a4oHePSJ66aTxFZdXc9bc11NQFR/f9Fu9ZaKOVqnoXkA48CswHgq9BzSHREaFMH5PCa+v3c6yDTfzlq3+tK0QVmwvKmCAxtm88v/ryaD7ZdYifZm0MimZwXycSHAU8CDxO45QfP3QyVLCZNSGdypp6/pXbMYblt1VWbiGjUnswIDHa7SjGGK9rxqZy14WDePHTvbywao/bcVq8wT1ERH4iIpuAfwCVwFRVPUdVHw1YwiAwNj2OIckxnXLMxa7SCtblH7XpPYwJQt+dOoxLhyfz4L828UFeqasI7i/BAAATUklEQVRZWrqyeBOIAGar6ijvKO7g7ADsMBFh9oR01u49Ql5RcPVQOFNZOYWIwNVjbJ1tY4KNxyM8Omcsg5Ni+Obf17CrtMK9LC28djnwuqqub7pRRM7vSpMKnnDt2FTCQqRTraKnqmTlFjCxf0/69OjmdhxjTDNiIkJ5Zl4mIR7htudXc/R4rSs5WioWjwBlzWw/TuON7laJyDQR2Soi20Xk+828/oiI5Hgf20TkSJPX3hCRIyLyL1/O5bSEmAguHd6LJWsLgqZ3wpnatL+MHSUVdmPbmCCX3jOKP904nr0HK/nWi2tdmeC0pWLRX1XXnbxRVbOB/q0dWERCaLwhfgUwApgrIiNOOtZ8Vc1Q1QzgMWBJk5d/DdzU6n9BAM3KTOdQRQ0rtnSOzmBZOYWEeoQrR1oTlDHB7tyBCfzimpG8t62E/3l9S8DP31KxiGzhNV/aLCYC272z1tYAC4CZLew/F3jxxBNVfQcIqhsEFwxNondsZKdoimpoUJbmFnLB0CTio8PdjmOM8cHciX25ZXJ//vzBroCP/WqpWKwWkdtP3igitwFrfDh2KtD0vybfu+0UItIPGACs8OG4rgnxCNePT2PlthIOHO3Ykwuu2XuYwqNV1gvKmA7mR1cN57zBifzXK+tZvftQwM7bUrG4D/iaiLwrIr/1PlYCXwfu9eHYzQ0FPt3IkjnAYlVt02TuInKHiGSLSHZJSWDWnZiVmU6DwuI1HfvqIiunkMgwD5eN6OV2FGNMG4SGeHj8K+NIi4/izr+uIf9wZUDO29J0H0WqOhn4ObDb+/i5qk5S1QM+HDufxlHfJ6QBpxvVNocmTVC+UtWnVDVTVTOTkpLa+vZ26ZsQxaSBCSzKzqehwf1Rle1RW9/Aa+v3c8nwXkRHhLodxxjTRj2iwnj65kxq6hv4+vPZVARgdglfVsr7t6o+5n20pZloNTBERAaISDiNBSHr5J1EZBgQD6xqw7FdNXtCOnsPVfLxroNuR2mXD7eXcqiixpqgjOnABifH8MevjGNbUTn3L8px/MOrY+tZqGodcA+Ng/s2A4tUdaOIPCgiM5rsOhdYoCdNfiIi7wMvAZeISL6IXO5U1raaNrI33SNDO+zkglm5hXSPDOXCYYG5GjPGOONLQ5P40VUjGJMeh9NzgDraBqGqy4BlJ237yUnPf3aa957vXLIzExkWwjUZqSzK3sfPj9fSo1uY25F8VlVbz1sbG9fZjggNcTuOMeYM3XregICcx1bKa6dZmelU1zWQ1cEmF1yxpZhj1XW2zrYxpk2sWLTTyNRYhveJ7XBNUVk5hSTGRDBpUILbUYwxHYgVi3YSEWZnprG+4CibCpubFSX4lFXVsmJrMVeP7kOIrbNtjGkDKxZn4JqxqYSHeljUQaYuf2tjETV1DTYXlDGmzaxYnIG4qHAuP7s3L68toKq2TeMJXfFqTgHpPbsxNj3O7SjGmA7GisUZmp2ZztHjtby1KbgnFyw9Vs1HOw4yfXSKrbNtjGkzKxZnaPKgBFLjugX9je5l6/dT36DMzLBeUMaYtrNicYY8HuGGzDQ+3FHKvkOBmaOlPbJyChnWqzvDend3O4oxpgOyYuEHN2Q2ToG1eE2+y0mal3+4kuw9h+3GtjGm3axY+EFqXDfOG5zI4jX51Afh5IJLc/cDMH20FQtjTPtYsfCT2RPSKThynA+3l7od5RRZuYWM7RtH34Qot6MYYzooKxZ+ctmIXsRHhbEwyMZc5BWVs3l/mc0wa4w5I1Ys/CQiNIRrxqayfGMRhytq3I7zuazcQjwCV422dbaNMe1nxcKPZk9Ip6a+gZfXFrgdBQBVJSu3kEmDEkju3tKS6sYY0zIrFn50Vu9YxqT1YFH2Pk5ansMV6/KPsudgJTNthlljzBmyYuFnN2Sms+VAOesLjrodhazcQsJDPFw+srfbUYwxHZwVCz+bkZFCZJiHhS6P6K5vUJbmFvKlYUkdanEmY0xwsmLhZ7GRYVw5sg9ZOYUcr3FvcsFPdh2kuLzaekEZY/zCioUDZk1Ip7y6jtc37Hctw9LcQqLCQ7h0eC/XMhhjOg8rFg44Z0BP+idEudYUVVPXwLL1B5g6ohfdwm2dbWPMmbNi4QAR4YbMdD7ZdYjdpRUBP//7eSUcPV5rc0EZY/zGioVDrh+fhkfgpTWBv7p4NaeQuKgwzhucFPBzG2M6JysWDukVG8mFw5JZvCafuvqGgJ23sqaO5ZuKuGJkH8JD7Z/XGOMf9tfEQbMy0ykqq+a9vJKAnfPtzcUcr61npjVBGWP8yIqFgy4ZnkxiTHhAb3Rn5RTSOzaSif17BuycxpjOz4qFg8JCPFw3Lo13NhdTUl7t+PmOVNawclsxV4/ug8dj62wbY/zHioXDZmWmU9egvLzW+VX03thwgNp6tV5Qxhi/s2LhsMHJMYzvF8/C1c5PLpiVW8iAxGhGpfZw9DzGmK7HikUAzM5MZ0dJBZ/tPeLYOYrLqli18yDTx6QgYk1Qxhj/smIRAFeN7kNUeAiLHLzRvXTdflSxuaCMMY5wtFiIyDQR2Soi20Xk+828/oiI5Hgf20TkSJPX5olInvcxz8mcTouOCOXq0X3417pCKqrrHDlHVm4hI/rEMjg5xpHjG2O6NseKhYiEAI8DVwAjgLkiMqLpPqo6X1UzVDUDeAxY4n1vT+CnwDnAROCnIhLvVNZAmD0hnYqael5b5//JBfccrCB33xEbW2GMcYyTVxYTge2qulNVa4AFwMwW9p8LvOj9/nJguaoeUtXDwHJgmoNZHTeubzyDkqJZmO3/pqiluYUAXG1NUMYYhzhZLFKBpn8Z873bTiEi/YABwIq2vFdE7hCRbBHJLikJ3Cjp9hARZk9IZ82ew2wvLvfbcVWVV3MKmdA/ntS4bn47rjHGNOVksWiuS87p+o7OARar6onVgnx6r6o+paqZqpqZlBT8k+ZdNy6NUI+wKNt/Yy62HCgnr/iY3dg2xjjKyWKRD6Q3eZ4GFJ5m3zn8pwmqre/tMBJjIrhkeDJLPsun1k+TC2blFhLiEa4c1ccvxzPGmOY4WSxWA0NEZICIhNNYELJO3klEhgHxwKomm98EpopIvPfG9lTvtg5v9oR0So/VsGJL8RkfS1XJyinkvMGJJMRE+CGdMcY0z7Fioap1wD00/pHfDCxS1Y0i8qCIzGiy61xggTYZ3qyqh4Bf0FhwVgMPerd1eBcMSSK5e4Rfxlx8tvcwBUeOWxOUMcZxoU4eXFWXActO2vaTk57/7DTvfRZ41rFwLgkN8XD9+DSeWLmDorIqesVGtvtYWTmFRIR6mHq2rbNtjHGWjeB2wazMdBoUFq9p/43uuvoGXlu/n4vPSqZ7ZJgf0xljzKmsWLigf2I05wzoyUvZ7Z9ccNXOg5Qeq7GBeMaYgLBi4ZLZE9LZfbCST3a171bMqzmFdI8I5cJhyX5OZowxp7Ji4ZIrRvahe0Qoi9oxoruqtp43Nxxg6tm9iQwLcSCdMcZ8kRULl3QLD2FGRgrL1u+nrKq2Te99d2sJ5dV1tsiRMSZgrFi4aPaEdKpqGz6f28lXS3MLSYgOZ8qgBIeSGWPMF1mxcNGo1B6c1bt7m8ZclFfV8vbmIq4a3YfQEPvnM8YEhv21cZGIMCszndz8o2w5UObTe5ZvKqK6rsEG4hljAsqKhcuuHZtKeIiHhT5eXWTlFpIa141xfTv08h7GmA7GioXL4qPDuezsXry8toDquvoW9z14rJr380qZPiYFj8fW2TbGBI4ViyAwOzOdI5W1LN9U1OJ+yzYcoL5BrQnKGBNwViyCwHmDE0mN69bqOhdLcwoZnBzD8D7dA5TMGGMaWbEIAh6PcP34NN7PK6HgyPFm9yk8cpxPdx9ixpg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                        "text/plain": "<Figure size 432x288 with 1 Axes>"
                    },
                    "metadata": {
                        "needs_background": "light"
                    },
                    "output_type": "display_data"
                }
            ],
            "source": "plt.plot(range(3,12),accList)\nplt.xlabel('K')\nplt.ylabel('CV Accuracy')\nplt.show()"
        },
        {
            "cell_type": "markdown",
            "metadata": {},
            "source": "# Decision Tree"
        },
        {
            "cell_type": "code",
            "execution_count": 117,
            "metadata": {},
            "outputs": [],
            "source": "from sklearn import tree\n\nclf_tree = tree.DecisionTreeClassifier()\nclf_tree = clf_tree.fit(X_train, y_train)\n\ny_pred=clf_tree.predict(X_train)"
        },
        {
            "cell_type": "code",
            "execution_count": 118,
            "metadata": {},
            "outputs": [],
            "source": "trainScores['Tree-jaccard']=jaccard_similarity_score(y_train, y_pred)\ntrainScores['Tree-f1-score']=f1_score(y_train, y_pred, average='weighted')"
        },
        {
            "cell_type": "code",
            "execution_count": 119,
            "metadata": {},
            "outputs": [
                {
                    "data": {
                        "text/plain": "{'KNN-jaccard': 0.8079710144927537,\n 'KNN-f1-score': 0.8000194668761034,\n 'Tree-jaccard': 0.9094202898550725,\n 'Tree-f1-score': 0.9062480827319584}"
                    },
                    "execution_count": 119,
                    "metadata": {},
                    "output_type": "execute_result"
                }
            ],
            "source": "trainScores"
        },
        {
            "cell_type": "code",
            "execution_count": 120,
            "metadata": {},
            "outputs": [
                {
                    "name": "stdout",
                    "output_type": "stream",
                    "text": "Requirement already satisfied: graphviz in /opt/conda/envs/Python36/lib/python3.6/site-packages (0.13.2)\nRequirement already satisfied: pydotplus in /opt/conda/envs/Python36/lib/python3.6/site-packages (2.0.2)\nRequirement already satisfied: pyparsing>=2.0.1 in /opt/conda/envs/Python36/lib/python3.6/site-packages (from pydotplus) (2.3.1)\n"
                },
                {
                    "data": {
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l</text>\n</g>\n<!-- 1&#45;&gt;3 -->\n<g id=\"edge3\" class=\"edge\">\n<title>1&#45;&gt;3</title>\n<path fill=\"none\" stroke=\"#000000\" d=\"M1392,-1888.8796C1392,-1880.6838 1392,-1871.9891 1392,-1863.5013\"/>\n<polygon fill=\"#000000\" stroke=\"#000000\" points=\"1395.5001,-1863.298 1392,-1853.2981 1388.5001,-1863.2981 1395.5001,-1863.298\"/>\n</g>\n<!-- 4 -->\n<g id=\"node5\" class=\"node\">\n<title>4</title>\n<path fill=\"#e58139\" fill-opacity=\"0.972549\" stroke=\"#000000\" d=\"M1268.5,-1734C1268.5,-1734 1167.5,-1734 1167.5,-1734 1161.5,-1734 1155.5,-1728 1155.5,-1722 1155.5,-1722 1155.5,-1663 1155.5,-1663 1155.5,-1657 1161.5,-1651 1167.5,-1651 1167.5,-1651 1268.5,-1651 1268.5,-1651 1274.5,-1651 1280.5,-1657 1280.5,-1663 1280.5,-1663 1280.5,-1722 1280.5,-1722 1280.5,-1728 1274.5,-1734 1268.5,-1734\"/>\n<text text-anchor=\"start\" x=\"1163.5\" y=\"-1718.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">terms \u2264 &#45;0.019</text>\n<text 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class=\"node\">\n<title>11</title>\n<path fill=\"#e58139\" fill-opacity=\"0.800000\" stroke=\"#000000\" d=\"M1437,-1734C1437,-1734 1347,-1734 1347,-1734 1341,-1734 1335,-1728 1335,-1722 1335,-1722 1335,-1663 1335,-1663 1335,-1657 1341,-1651 1347,-1651 1347,-1651 1437,-1651 1437,-1651 1443,-1651 1449,-1657 1449,-1663 1449,-1663 1449,-1722 1449,-1722 1449,-1728 1443,-1734 1437,-1734\"/>\n<text text-anchor=\"start\" x=\"1352\" y=\"-1718.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">age \u2264 1.42</text>\n<text text-anchor=\"start\" x=\"1348\" y=\"-1703.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">gini = 0.278</text>\n<text text-anchor=\"start\" x=\"1346.5\" y=\"-1688.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">samples = 6</text>\n<text text-anchor=\"start\" x=\"1343\" y=\"-1673.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">value = [5, 1]</text>\n<text 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font-size=\"14.00\" fill=\"#000000\">class = l</text>\n</g>\n<!-- 7&#45;&gt;9 -->\n<g id=\"edge9\" class=\"edge\">\n<title>7&#45;&gt;9</title>\n<path fill=\"none\" stroke=\"#000000\" d=\"M1092.8423,-1412.8796C1095.6495,-1402.1034 1098.6815,-1390.4647 1101.5202,-1379.5677\"/>\n<polygon fill=\"#000000\" stroke=\"#000000\" points=\"1104.9268,-1380.3743 1104.0608,-1369.8149 1098.1529,-1378.6096 1104.9268,-1380.3743\"/>\n</g>\n<!-- 12 -->\n<g id=\"node13\" class=\"node\">\n<title>12</title>\n<path fill=\"transparent\" stroke=\"#000000\" d=\"M1410.5,-1615C1410.5,-1615 1309.5,-1615 1309.5,-1615 1303.5,-1615 1297.5,-1609 1297.5,-1603 1297.5,-1603 1297.5,-1544 1297.5,-1544 1297.5,-1538 1303.5,-1532 1309.5,-1532 1309.5,-1532 1410.5,-1532 1410.5,-1532 1416.5,-1532 1422.5,-1538 1422.5,-1544 1422.5,-1544 1422.5,-1603 1422.5,-1603 1422.5,-1609 1416.5,-1615 1410.5,-1615\"/>\n<text text-anchor=\"start\" x=\"1305.5\" y=\"-1599.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">terms \u2264 &#45;0.019</text>\n<text text-anchor=\"start\" x=\"1325\" y=\"-1584.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">gini = 0.5</text>\n<text text-anchor=\"start\" x=\"1314.5\" y=\"-1569.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">samples = 2</text>\n<text text-anchor=\"start\" x=\"1311\" y=\"-1554.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">value = [1, 1]</text>\n<text text-anchor=\"start\" x=\"1329.5\" y=\"-1539.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">class = l</text>\n</g>\n<!-- 11&#45;&gt;12 -->\n<g id=\"edge12\" class=\"edge\">\n<title>11&#45;&gt;12</title>\n<path fill=\"none\" stroke=\"#000000\" d=\"M1380.808,-1650.8796C1378.5798,-1642.5938 1376.2146,-1633.798 1373.9083,-1625.2216\"/>\n<polygon fill=\"#000000\" stroke=\"#000000\" points=\"1377.2166,-1624.0461 1371.2398,-1615.2981 1370.4568,-1625.8639 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font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">class = l</text>\n</g>\n<!-- 11&#45;&gt;15 -->\n<g id=\"edge15\" class=\"edge\">\n<title>11&#45;&gt;15</title>\n<path fill=\"none\" stroke=\"#000000\" d=\"M1429.0737,-1650.8796C1439.2603,-1639.4436 1450.3122,-1627.0363 1460.5215,-1615.575\"/>\n<polygon fill=\"#000000\" stroke=\"#000000\" points=\"1463.3958,-1617.6101 1467.4338,-1607.8149 1458.1688,-1612.9541 1463.3958,-1617.6101\"/>\n</g>\n<!-- 13 -->\n<g id=\"node14\" class=\"node\">\n<title>13</title>\n<path fill=\"#399de5\" stroke=\"#000000\" d=\"M1403,-1488.5C1403,-1488.5 1313,-1488.5 1313,-1488.5 1307,-1488.5 1301,-1482.5 1301,-1476.5 1301,-1476.5 1301,-1432.5 1301,-1432.5 1301,-1426.5 1307,-1420.5 1313,-1420.5 1313,-1420.5 1403,-1420.5 1403,-1420.5 1409,-1420.5 1415,-1426.5 1415,-1432.5 1415,-1432.5 1415,-1476.5 1415,-1476.5 1415,-1482.5 1409,-1488.5 1403,-1488.5\"/>\n<text text-anchor=\"start\" x=\"1323\" y=\"-1473.3\" font-family=\"Helvetica,sans-Serif\" 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class=\"edge\">\n<title>12&#45;&gt;14</title>\n<path fill=\"none\" stroke=\"#000000\" d=\"M1405.4677,-1531.8796C1418.3211,-1520.1138 1432.2979,-1507.3197 1445.1166,-1495.5855\"/>\n<polygon fill=\"#000000\" stroke=\"#000000\" points=\"1447.5001,-1498.1488 1452.5131,-1488.8149 1442.7736,-1492.9854 1447.5001,-1498.1488\"/>\n</g>\n<!-- 17 -->\n<g id=\"node18\" class=\"node\">\n<title>17</title>\n<path fill=\"#e58139\" fill-opacity=\"0.039216\" stroke=\"#000000\" d=\"M1660,-1853C1660,-1853 1552,-1853 1552,-1853 1546,-1853 1540,-1847 1540,-1841 1540,-1841 1540,-1782 1540,-1782 1540,-1776 1546,-1770 1552,-1770 1552,-1770 1660,-1770 1660,-1770 1666,-1770 1672,-1776 1672,-1782 1672,-1782 1672,-1841 1672,-1841 1672,-1847 1666,-1853 1660,-1853\"/>\n<text text-anchor=\"start\" x=\"1556\" y=\"-1837.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">terms \u2264 &#45;1.46</text>\n<text text-anchor=\"start\" x=\"1571\" y=\"-1822.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">gini = 0.5</text>\n<text text-anchor=\"start\" x=\"1551.5\" y=\"-1807.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">samples = 100</text>\n<text text-anchor=\"start\" x=\"1548\" y=\"-1792.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">value = [51, 49]</text>\n<text text-anchor=\"start\" x=\"1575.5\" y=\"-1777.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">class = l</text>\n</g>\n<!-- 16&#45;&gt;17 -->\n<g id=\"edge17\" class=\"edge\">\n<title>16&#45;&gt;17</title>\n<path fill=\"none\" stroke=\"#000000\" d=\"M1606,-1888.8796C1606,-1880.6838 1606,-1871.9891 1606,-1863.5013\"/>\n<polygon fill=\"#000000\" stroke=\"#000000\" points=\"1609.5001,-1863.298 1606,-1853.2981 1602.5001,-1863.2981 1609.5001,-1863.298\"/>\n</g>\n<!-- 118 -->\n<g id=\"node119\" class=\"node\">\n<title>118</title>\n<path fill=\"#e58139\" fill-opacity=\"0.498039\" stroke=\"#000000\" d=\"M2256,-1853C2256,-1853 2148,-1853 2148,-1853 2142,-1853 2136,-1847 2136,-1841 2136,-1841 2136,-1782 2136,-1782 2136,-1776 2142,-1770 2148,-1770 2148,-1770 2256,-1770 2256,-1770 2262,-1770 2268,-1776 2268,-1782 2268,-1782 2268,-1841 2268,-1841 2268,-1847 2262,-1853 2256,-1853\"/>\n<text text-anchor=\"start\" x=\"2144.5\" y=\"-1837.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">Gender \u2264 0.979</text>\n<text text-anchor=\"start\" x=\"2158\" y=\"-1822.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">gini = 0.444</text>\n<text text-anchor=\"start\" x=\"2152\" y=\"-1807.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">samples = 60</text>\n<text text-anchor=\"start\" x=\"2144\" y=\"-1792.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">value = [40, 20]</text>\n<text text-anchor=\"start\" x=\"2171.5\" y=\"-1777.8\" font-family=\"Helvetica,sans-Serif\" 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19&#45;&gt;21 -->\n<g id=\"edge21\" class=\"edge\">\n<title>19&#45;&gt;21</title>\n<path fill=\"none\" stroke=\"#000000\" d=\"M1749.5418,-1650.8796C1751.8645,-1642.5037 1754.3318,-1633.6067 1756.7346,-1624.942\"/>\n<polygon fill=\"#000000\" stroke=\"#000000\" points=\"1760.1093,-1625.8697 1759.4089,-1615.2981 1753.3639,-1623.9991 1760.1093,-1625.8697\"/>\n</g>\n<!-- 22 -->\n<g id=\"node23\" class=\"node\">\n<title>22</title>\n<path fill=\"#e58139\" stroke=\"#000000\" d=\"M1670,-1488.5C1670,-1488.5 1580,-1488.5 1580,-1488.5 1574,-1488.5 1568,-1482.5 1568,-1476.5 1568,-1476.5 1568,-1432.5 1568,-1432.5 1568,-1426.5 1574,-1420.5 1580,-1420.5 1580,-1420.5 1670,-1420.5 1670,-1420.5 1676,-1420.5 1682,-1426.5 1682,-1432.5 1682,-1432.5 1682,-1476.5 1682,-1476.5 1682,-1482.5 1676,-1488.5 1670,-1488.5\"/>\n<text text-anchor=\"start\" x=\"1590\" y=\"-1473.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">gini = 0.0</text>\n<text text-anchor=\"start\" x=\"1579.5\" y=\"-1458.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">samples = 1</text>\n<text text-anchor=\"start\" x=\"1576\" y=\"-1443.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">value = [1, 0]</text>\n<text text-anchor=\"start\" x=\"1594.5\" y=\"-1428.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">class = l</text>\n</g>\n<!-- 21&#45;&gt;22 -->\n<g id=\"edge22\" class=\"edge\">\n<title>21&#45;&gt;22</title>\n<path fill=\"none\" stroke=\"#000000\" d=\"M1719.9363,-1531.8796C1705.366,-1520.0038 1689.5104,-1507.0804 1675.0042,-1495.2568\"/>\n<polygon fill=\"#000000\" stroke=\"#000000\" points=\"1677.0634,-1492.4199 1667.1007,-1488.8149 1672.6408,-1497.8459 1677.0634,-1492.4199\"/>\n</g>\n<!-- 23 -->\n<g id=\"node24\" class=\"node\">\n<title>23</title>\n<path fill=\"#399de5\" fill-opacity=\"0.019608\" stroke=\"#000000\" d=\"M1829.5,-1496C1829.5,-1496 1712.5,-1496 1712.5,-1496 1706.5,-1496 1700.5,-1490 1700.5,-1484 1700.5,-1484 1700.5,-1425 1700.5,-1425 1700.5,-1419 1706.5,-1413 1712.5,-1413 1712.5,-1413 1829.5,-1413 1829.5,-1413 1835.5,-1413 1841.5,-1419 1841.5,-1425 1841.5,-1425 1841.5,-1484 1841.5,-1484 1841.5,-1490 1835.5,-1496 1829.5,-1496\"/>\n<text text-anchor=\"start\" x=\"1708.5\" y=\"-1480.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">Bechalor \u2264 1.119</text>\n<text text-anchor=\"start\" x=\"1736\" y=\"-1465.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">gini = 0.5</text>\n<text text-anchor=\"start\" x=\"1721\" y=\"-1450.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">samples = 95</text>\n<text text-anchor=\"start\" x=\"1713\" y=\"-1435.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">value = [47, 48]</text>\n<text text-anchor=\"start\" x=\"1738\" y=\"-1420.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">class = o</text>\n</g>\n<!-- 21&#45;&gt;23 -->\n<g id=\"edge23\" class=\"edge\">\n<title>21&#45;&gt;23</title>\n<path fill=\"none\" stroke=\"#000000\" d=\"M1771,-1531.8796C1771,-1523.6838 1771,-1514.9891 1771,-1506.5013\"/>\n<polygon fill=\"#000000\" stroke=\"#000000\" points=\"1774.5001,-1506.298 1771,-1496.2981 1767.5001,-1506.2981 1774.5001,-1506.298\"/>\n</g>\n<!-- 24 -->\n<g id=\"node25\" class=\"node\">\n<title>24</title>\n<path fill=\"#e58139\" fill-opacity=\"0.047059\" stroke=\"#000000\" d=\"M1323,-1377C1323,-1377 1215,-1377 1215,-1377 1209,-1377 1203,-1371 1203,-1365 1203,-1365 1203,-1306 1203,-1306 1203,-1300 1209,-1294 1215,-1294 1215,-1294 1323,-1294 1323,-1294 1329,-1294 1335,-1300 1335,-1306 1335,-1306 1335,-1365 1335,-1365 1335,-1371 1329,-1377 1323,-1377\"/>\n<text text-anchor=\"start\" x=\"1222\" y=\"-1361.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">age \u2264 &#45;1.565</text>\n<text text-anchor=\"start\" x=\"1234\" y=\"-1346.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">gini = 0.5</text>\n<text text-anchor=\"start\" x=\"1219\" y=\"-1331.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">samples = 84</text>\n<text text-anchor=\"start\" x=\"1211\" y=\"-1316.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">value = [43, 41]</text>\n<text text-anchor=\"start\" x=\"1238.5\" y=\"-1301.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">class = l</text>\n</g>\n<!-- 23&#45;&gt;24 -->\n<g id=\"edge24\" class=\"edge\">\n<title>23&#45;&gt;24</title>\n<path fill=\"none\" stroke=\"#000000\" d=\"M1700.3846,-1416.4842C1697.2451,-1415.2345 1694.1084,-1414.065 1691,-1413 1574.0218,-1372.9216 1431.3085,-1352.2332 1345.4228,-1342.6403\"/>\n<polygon fill=\"#000000\" stroke=\"#000000\" points=\"1345.5578,-1339.1343 1335.2362,-1341.5249 1344.7958,-1346.0927 1345.5578,-1339.1343\"/>\n</g>\n<!-- 107 -->\n<g id=\"node108\" class=\"node\">\n<title>107</title>\n<path fill=\"#399de5\" fill-opacity=\"0.427451\" stroke=\"#000000\" d=\"M1824.5,-1377C1824.5,-1377 1717.5,-1377 1717.5,-1377 1711.5,-1377 1705.5,-1371 1705.5,-1365 1705.5,-1365 1705.5,-1306 1705.5,-1306 1705.5,-1300 1711.5,-1294 1717.5,-1294 1717.5,-1294 1824.5,-1294 1824.5,-1294 1830.5,-1294 1836.5,-1300 1836.5,-1306 1836.5,-1306 1836.5,-1365 1836.5,-1365 1836.5,-1371 1830.5,-1377 1824.5,-1377\"/>\n<text text-anchor=\"start\" x=\"1713.5\" y=\"-1361.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">Gender \u2264 0.979</text>\n<text text-anchor=\"start\" x=\"1727\" y=\"-1346.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">gini = 0.463</text>\n<text text-anchor=\"start\" x=\"1721\" y=\"-1331.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">samples = 11</text>\n<text text-anchor=\"start\" x=\"1722\" y=\"-1316.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">value = [4, 7]</text>\n<text text-anchor=\"start\" x=\"1738\" y=\"-1301.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">class = o</text>\n</g>\n<!-- 23&#45;&gt;107 -->\n<g id=\"edge107\" class=\"edge\">\n<title>23&#45;&gt;107</title>\n<path fill=\"none\" stroke=\"#000000\" d=\"M1771,-1412.8796C1771,-1404.6838 1771,-1395.9891 1771,-1387.5013\"/>\n<polygon fill=\"#000000\" stroke=\"#000000\" points=\"1774.5001,-1387.298 1771,-1377.2981 1767.5001,-1387.2981 1774.5001,-1387.298\"/>\n</g>\n<!-- 25 -->\n<g id=\"node26\" class=\"node\">\n<title>25</title>\n<path fill=\"#399de5\" stroke=\"#000000\" d=\"M1173,-1250.5C1173,-1250.5 1083,-1250.5 1083,-1250.5 1077,-1250.5 1071,-1244.5 1071,-1238.5 1071,-1238.5 1071,-1194.5 1071,-1194.5 1071,-1188.5 1077,-1182.5 1083,-1182.5 1083,-1182.5 1173,-1182.5 1173,-1182.5 1179,-1182.5 1185,-1188.5 1185,-1194.5 1185,-1194.5 1185,-1238.5 1185,-1238.5 1185,-1244.5 1179,-1250.5 1173,-1250.5\"/>\n<text text-anchor=\"start\" x=\"1093\" y=\"-1235.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">gini = 0.0</text>\n<text text-anchor=\"start\" x=\"1082.5\" y=\"-1220.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">samples = 1</text>\n<text text-anchor=\"start\" x=\"1079\" y=\"-1205.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">value = [0, 1]</text>\n<text text-anchor=\"start\" x=\"1095\" y=\"-1190.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">class = o</text>\n</g>\n<!-- 24&#45;&gt;25 -->\n<g id=\"edge25\" class=\"edge\">\n<title>24&#45;&gt;25</title>\n<path fill=\"none\" stroke=\"#000000\" d=\"M1219.685,-1293.8796C1205.744,-1282.1138 1190.5846,-1269.3197 1176.6812,-1257.5855\"/>\n<polygon fill=\"#000000\" stroke=\"#000000\" points=\"1178.5584,-1254.5899 1168.6589,-1250.8149 1174.0436,-1259.9394 1178.5584,-1254.5899\"/>\n</g>\n<!-- 26 -->\n<g id=\"node27\" class=\"node\">\n<title>26</title>\n<path fill=\"#e58139\" fill-opacity=\"0.070588\" stroke=\"#000000\" d=\"M1323,-1258C1323,-1258 1215,-1258 1215,-1258 1209,-1258 1203,-1252 1203,-1246 1203,-1246 1203,-1187 1203,-1187 1203,-1181 1209,-1175 1215,-1175 1215,-1175 1323,-1175 1323,-1175 1329,-1175 1335,-1181 1335,-1187 1335,-1187 1335,-1246 1335,-1246 1335,-1252 1329,-1258 1323,-1258\"/>\n<text text-anchor=\"start\" x=\"1222\" y=\"-1242.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">age \u2264 &#45;1.399</text>\n<text text-anchor=\"start\" x=\"1225\" y=\"-1227.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">gini = 0.499</text>\n<text text-anchor=\"start\" x=\"1219\" y=\"-1212.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">samples = 83</text>\n<text text-anchor=\"start\" x=\"1211\" y=\"-1197.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">value = [43, 40]</text>\n<text text-anchor=\"start\" x=\"1238.5\" y=\"-1182.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">class = l</text>\n</g>\n<!-- 24&#45;&gt;26 -->\n<g id=\"edge26\" class=\"edge\">\n<title>24&#45;&gt;26</title>\n<path fill=\"none\" stroke=\"#000000\" d=\"M1269,-1293.8796C1269,-1285.6838 1269,-1276.9891 1269,-1268.5013\"/>\n<polygon fill=\"#000000\" stroke=\"#000000\" points=\"1272.5001,-1268.298 1269,-1258.2981 1265.5001,-1268.2981 1272.5001,-1268.298\"/>\n</g>\n<!-- 27 -->\n<g id=\"node28\" class=\"node\">\n<title>27</title>\n<path fill=\"#e58139\" fill-opacity=\"0.666667\" stroke=\"#000000\" d=\"M1115.5,-1139C1115.5,-1139 996.5,-1139 996.5,-1139 990.5,-1139 984.5,-1133 984.5,-1127 984.5,-1127 984.5,-1068 984.5,-1068 984.5,-1062 990.5,-1056 996.5,-1056 996.5,-1056 1115.5,-1056 1115.5,-1056 1121.5,-1056 1127.5,-1062 1127.5,-1068 1127.5,-1068 1127.5,-1127 1127.5,-1127 1127.5,-1133 1121.5,-1139 1115.5,-1139\"/>\n<text text-anchor=\"start\" x=\"992.5\" y=\"-1123.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">Principal \u2264 &#45;0.399</text>\n<text text-anchor=\"start\" x=\"1012\" y=\"-1108.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">gini = 0.375</text>\n<text text-anchor=\"start\" x=\"1010.5\" y=\"-1093.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">samples = 4</text>\n<text text-anchor=\"start\" x=\"1007\" y=\"-1078.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">value = [3, 1]</text>\n<text text-anchor=\"start\" x=\"1025.5\" y=\"-1063.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">class = l</text>\n</g>\n<!-- 26&#45;&gt;27 -->\n<g id=\"edge27\" class=\"edge\">\n<title>26&#45;&gt;27</title>\n<path fill=\"none\" stroke=\"#000000\" d=\"M1202.773,-1179.5C1181.8429,-1167.8066 1158.479,-1154.7535 1136.656,-1142.5613\"/>\n<polygon fill=\"#000000\" stroke=\"#000000\" points=\"1138.171,-1139.3986 1127.734,-1137.5767 1134.7569,-1145.5096 1138.171,-1139.3986\"/>\n</g>\n<!-- 30 -->\n<g id=\"node31\" class=\"node\">\n<title>30</title>\n<path fill=\"#e58139\" fill-opacity=\"0.023529\" stroke=\"#000000\" d=\"M1323,-1139C1323,-1139 1215,-1139 1215,-1139 1209,-1139 1203,-1133 1203,-1127 1203,-1127 1203,-1068 1203,-1068 1203,-1062 1209,-1056 1215,-1056 1215,-1056 1323,-1056 1323,-1056 1329,-1056 1335,-1062 1335,-1068 1335,-1068 1335,-1127 1335,-1127 1335,-1133 1329,-1139 1323,-1139\"/>\n<text text-anchor=\"start\" x=\"1214.5\" y=\"-1123.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">terms \u2264 &#45;0.019</text>\n<text text-anchor=\"start\" x=\"1234\" y=\"-1108.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">gini = 0.5</text>\n<text text-anchor=\"start\" x=\"1219\" y=\"-1093.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">samples = 79</text>\n<text text-anchor=\"start\" x=\"1211\" y=\"-1078.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">value = [40, 39]</text>\n<text text-anchor=\"start\" x=\"1238.5\" y=\"-1063.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">class = l</text>\n</g>\n<!-- 26&#45;&gt;30 -->\n<g id=\"edge30\" class=\"edge\">\n<title>26&#45;&gt;30</title>\n<path fill=\"none\" stroke=\"#000000\" d=\"M1269,-1174.8796C1269,-1166.6838 1269,-1157.9891 1269,-1149.5013\"/>\n<polygon fill=\"#000000\" stroke=\"#000000\" points=\"1272.5001,-1149.298 1269,-1139.2981 1265.5001,-1149.2981 1272.5001,-1149.298\"/>\n</g>\n<!-- 28 -->\n<g id=\"node29\" class=\"node\">\n<title>28</title>\n<path fill=\"#399de5\" stroke=\"#000000\" d=\"M969,-1012.5C969,-1012.5 879,-1012.5 879,-1012.5 873,-1012.5 867,-1006.5 867,-1000.5 867,-1000.5 867,-956.5 867,-956.5 867,-950.5 873,-944.5 879,-944.5 879,-944.5 969,-944.5 969,-944.5 975,-944.5 981,-950.5 981,-956.5 981,-956.5 981,-1000.5 981,-1000.5 981,-1006.5 975,-1012.5 969,-1012.5\"/>\n<text text-anchor=\"start\" x=\"889\" y=\"-997.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">gini = 0.0</text>\n<text text-anchor=\"start\" x=\"878.5\" y=\"-982.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">samples = 1</text>\n<text text-anchor=\"start\" x=\"875\" y=\"-967.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">value = [0, 1]</text>\n<text text-anchor=\"start\" x=\"891\" y=\"-952.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">class = o</text>\n</g>\n<!-- 27&#45;&gt;28 -->\n<g id=\"edge28\" class=\"edge\">\n<title>27&#45;&gt;28</title>\n<path fill=\"none\" stroke=\"#000000\" d=\"M1009.8328,-1055.8796C996.7817,-1044.1138 982.5899,-1031.3197 969.5739,-1019.5855\"/>\n<polygon fill=\"#000000\" stroke=\"#000000\" points=\"971.8346,-1016.9113 962.0636,-1012.8149 967.1474,-1022.1104 971.8346,-1016.9113\"/>\n</g>\n<!-- 29 -->\n<g id=\"node30\" class=\"node\">\n<title>29</title>\n<path fill=\"#e58139\" stroke=\"#000000\" d=\"M1101,-1012.5C1101,-1012.5 1011,-1012.5 1011,-1012.5 1005,-1012.5 999,-1006.5 999,-1000.5 999,-1000.5 999,-956.5 999,-956.5 999,-950.5 1005,-944.5 1011,-944.5 1011,-944.5 1101,-944.5 1101,-944.5 1107,-944.5 1113,-950.5 1113,-956.5 1113,-956.5 1113,-1000.5 1113,-1000.5 1113,-1006.5 1107,-1012.5 1101,-1012.5\"/>\n<text text-anchor=\"start\" x=\"1021\" y=\"-997.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">gini = 0.0</text>\n<text text-anchor=\"start\" x=\"1010.5\" y=\"-982.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">samples = 3</text>\n<text text-anchor=\"start\" x=\"1007\" y=\"-967.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">value = [3, 0]</text>\n<text text-anchor=\"start\" x=\"1025.5\" y=\"-952.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">class = l</text>\n</g>\n<!-- 27&#45;&gt;29 -->\n<g id=\"edge29\" class=\"edge\">\n<title>27&#45;&gt;29</title>\n<path fill=\"none\" stroke=\"#000000\" d=\"M1056,-1055.8796C1056,-1045.2134 1056,-1033.7021 1056,-1022.9015\"/>\n<polygon fill=\"#000000\" stroke=\"#000000\" points=\"1059.5001,-1022.8149 1056,-1012.8149 1052.5001,-1022.815 1059.5001,-1022.8149\"/>\n</g>\n<!-- 31 -->\n<g id=\"node32\" class=\"node\">\n<title>31</title>\n<path fill=\"#e58139\" fill-opacity=\"0.262745\" stroke=\"#000000\" d=\"M1251,-1020C1251,-1020 1143,-1020 1143,-1020 1137,-1020 1131,-1014 1131,-1008 1131,-1008 1131,-949 1131,-949 1131,-943 1137,-937 1143,-937 1143,-937 1251,-937 1251,-937 1257,-937 1263,-943 1263,-949 1263,-949 1263,-1008 1263,-1008 1263,-1014 1257,-1020 1251,-1020\"/>\n<text text-anchor=\"start\" x=\"1150\" y=\"-1004.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">age \u2264 &#45;1.068</text>\n<text text-anchor=\"start\" x=\"1153\" y=\"-989.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">gini = 0.489</text>\n<text text-anchor=\"start\" x=\"1147\" y=\"-974.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">samples = 33</text>\n<text text-anchor=\"start\" x=\"1139\" y=\"-959.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">value = [19, 14]</text>\n<text text-anchor=\"start\" x=\"1166.5\" y=\"-944.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">class = l</text>\n</g>\n<!-- 30&#45;&gt;31 -->\n<g id=\"edge31\" class=\"edge\">\n<title>30&#45;&gt;31</title>\n<path fill=\"none\" stroke=\"#000000\" d=\"M1243.8179,-1055.8796C1238.5867,-1047.2335 1233.0195,-1038.0322 1227.6177,-1029.1042\"/>\n<polygon fill=\"#000000\" stroke=\"#000000\" points=\"1230.4608,-1027.0421 1222.2896,-1020.2981 1224.4717,-1030.6658 1230.4608,-1027.0421\"/>\n</g>\n<!-- 68 -->\n<g id=\"node69\" class=\"node\">\n<title>68</title>\n<path fill=\"#399de5\" fill-opacity=\"0.160784\" stroke=\"#000000\" d=\"M1432,-1020C1432,-1020 1324,-1020 1324,-1020 1318,-1020 1312,-1014 1312,-1008 1312,-1008 1312,-949 1312,-949 1312,-943 1318,-937 1324,-937 1324,-937 1432,-937 1432,-937 1438,-937 1444,-943 1444,-949 1444,-949 1444,-1008 1444,-1008 1444,-1014 1438,-1020 1432,-1020\"/>\n<text text-anchor=\"start\" x=\"1331\" y=\"-1004.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">age \u2264 &#45;0.902</text>\n<text text-anchor=\"start\" x=\"1334\" y=\"-989.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">gini = 0.496</text>\n<text text-anchor=\"start\" x=\"1328\" y=\"-974.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">samples = 46</text>\n<text text-anchor=\"start\" x=\"1320\" y=\"-959.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">value = [21, 25]</text>\n<text text-anchor=\"start\" x=\"1345\" y=\"-944.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">class = o</text>\n</g>\n<!-- 30&#45;&gt;68 -->\n<g id=\"edge68\" class=\"edge\">\n<title>30&#45;&gt;68</title>\n<path fill=\"none\" stroke=\"#000000\" d=\"M1307.1229,-1055.8796C1315.4549,-1046.7832 1324.3498,-1037.0722 1332.9239,-1027.7116\"/>\n<polygon fill=\"#000000\" stroke=\"#000000\" points=\"1335.5408,-1030.0363 1339.7144,-1020.2981 1330.3789,-1025.3081 1335.5408,-1030.0363\"/>\n</g>\n<!-- 32 -->\n<g id=\"node33\" class=\"node\">\n<title>32</title>\n<path fill=\"#e58139\" stroke=\"#000000\" d=\"M1080,-893.5C1080,-893.5 990,-893.5 990,-893.5 984,-893.5 978,-887.5 978,-881.5 978,-881.5 978,-837.5 978,-837.5 978,-831.5 984,-825.5 990,-825.5 990,-825.5 1080,-825.5 1080,-825.5 1086,-825.5 1092,-831.5 1092,-837.5 1092,-837.5 1092,-881.5 1092,-881.5 1092,-887.5 1086,-893.5 1080,-893.5\"/>\n<text text-anchor=\"start\" x=\"1000\" y=\"-878.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">gini = 0.0</text>\n<text text-anchor=\"start\" x=\"989.5\" y=\"-863.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">samples = 3</text>\n<text text-anchor=\"start\" x=\"986\" y=\"-848.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">value = [3, 0]</text>\n<text text-anchor=\"start\" x=\"1004.5\" y=\"-833.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">class = l</text>\n</g>\n<!-- 31&#45;&gt;32 -->\n<g id=\"edge32\" class=\"edge\">\n<title>31&#45;&gt;32</title>\n<path fill=\"none\" stroke=\"#000000\" d=\"M1140.3403,-936.8796C1123.9459,-924.8368 1106.0849,-911.7167 1089.8058,-899.7586\"/>\n<polygon fill=\"#000000\" stroke=\"#000000\" points=\"1091.5846,-896.7224 1081.4532,-893.623 1087.4405,-902.3639 1091.5846,-896.7224\"/>\n</g>\n<!-- 33 -->\n<g id=\"node34\" class=\"node\">\n<title>33</title>\n<path fill=\"#e58139\" fill-opacity=\"0.125490\" stroke=\"#000000\" d=\"M1230,-901C1230,-901 1122,-901 1122,-901 1116,-901 1110,-895 1110,-889 1110,-889 1110,-830 1110,-830 1110,-824 1116,-818 1122,-818 1122,-818 1230,-818 1230,-818 1236,-818 1242,-824 1242,-830 1242,-830 1242,-889 1242,-889 1242,-895 1236,-901 1230,-901\"/>\n<text text-anchor=\"start\" x=\"1118.5\" y=\"-885.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">Gender \u2264 0.979</text>\n<text text-anchor=\"start\" x=\"1132\" y=\"-870.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">gini = 0.498</text>\n<text text-anchor=\"start\" x=\"1126\" y=\"-855.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">samples = 30</text>\n<text text-anchor=\"start\" x=\"1118\" y=\"-840.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">value = [16, 14]</text>\n<text text-anchor=\"start\" x=\"1145.5\" y=\"-825.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">class = l</text>\n</g>\n<!-- 31&#45;&gt;33 -->\n<g id=\"edge33\" class=\"edge\">\n<title>31&#45;&gt;33</title>\n<path fill=\"none\" stroke=\"#000000\" d=\"M1189.6552,-936.8796C1188.193,-928.5938 1186.6408,-919.798 1185.1273,-911.2216\"/>\n<polygon fill=\"#000000\" stroke=\"#000000\" points=\"1188.5608,-910.5376 1183.3761,-901.2981 1181.6673,-911.7542 1188.5608,-910.5376\"/>\n</g>\n<!-- 34 -->\n<g id=\"node35\" class=\"node\">\n<title>34</title>\n<path fill=\"#e58139\" fill-opacity=\"0.200000\" stroke=\"#000000\" d=\"M936,-782C936,-782 828,-782 828,-782 822,-782 816,-776 816,-770 816,-770 816,-711 816,-711 816,-705 822,-699 828,-699 828,-699 936,-699 936,-699 942,-699 948,-705 948,-711 948,-711 948,-770 948,-770 948,-776 942,-782 936,-782\"/>\n<text text-anchor=\"start\" x=\"837.5\" y=\"-766.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">age \u2264 0.093</text>\n<text text-anchor=\"start\" x=\"838\" y=\"-751.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">gini = 0.494</text>\n<text text-anchor=\"start\" x=\"832\" y=\"-736.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">samples = 27</text>\n<text text-anchor=\"start\" x=\"824\" y=\"-721.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">value = [15, 12]</text>\n<text text-anchor=\"start\" x=\"851.5\" y=\"-706.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">class = l</text>\n</g>\n<!-- 33&#45;&gt;34 -->\n<g id=\"edge34\" class=\"edge\">\n<title>33&#45;&gt;34</title>\n<path fill=\"none\" stroke=\"#000000\" d=\"M1109.6359,-822.0333C1106.737,-820.6332 1103.8499,-819.2822 1101,-818 1054.5933,-797.122 1000.7333,-777.9983 958.0394,-763.9712\"/>\n<polygon fill=\"#000000\" stroke=\"#000000\" points=\"958.867,-760.5597 948.2746,-760.7876 956.6972,-767.2149 958.867,-760.5597\"/>\n</g>\n<!-- 65 -->\n<g id=\"node66\" class=\"node\">\n<title>65</title>\n<path fill=\"#399de5\" fill-opacity=\"0.498039\" stroke=\"#000000\" d=\"M1206,-782C1206,-782 1116,-782 1116,-782 1110,-782 1104,-776 1104,-770 1104,-770 1104,-711 1104,-711 1104,-705 1110,-699 1116,-699 1116,-699 1206,-699 1206,-699 1212,-699 1218,-705 1218,-711 1218,-711 1218,-770 1218,-770 1218,-776 1212,-782 1206,-782\"/>\n<text text-anchor=\"start\" x=\"1114\" y=\"-766.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">age \u2264 &#45;0.239</text>\n<text text-anchor=\"start\" x=\"1117\" y=\"-751.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">gini = 0.444</text>\n<text text-anchor=\"start\" x=\"1115.5\" y=\"-736.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">samples = 3</text>\n<text text-anchor=\"start\" x=\"1112\" y=\"-721.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">value = [1, 2]</text>\n<text text-anchor=\"start\" x=\"1128\" y=\"-706.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">class = o</text>\n</g>\n<!-- 33&#45;&gt;65 -->\n<g id=\"edge65\" class=\"edge\">\n<title>33&#45;&gt;65</title>\n<path fill=\"none\" stroke=\"#000000\" d=\"M1170.7537,-817.8796C1169.7093,-809.5938 1168.6006,-800.798 1167.5195,-792.2216\"/>\n<polygon fill=\"#000000\" stroke=\"#000000\" points=\"1170.9919,-791.7818 1166.2687,-782.2981 1164.0468,-792.6573 1170.9919,-791.7818\"/>\n</g>\n<!-- 35 -->\n<g id=\"node36\" class=\"node\">\n<title>35</title>\n<path fill=\"#e58139\" fill-opacity=\"0.356863\" stroke=\"#000000\" d=\"M780.5,-663C780.5,-663 681.5,-663 681.5,-663 675.5,-663 669.5,-657 669.5,-651 669.5,-651 669.5,-592 669.5,-592 669.5,-586 675.5,-580 681.5,-580 681.5,-580 780.5,-580 780.5,-580 786.5,-580 792.5,-586 792.5,-592 792.5,-592 792.5,-651 792.5,-651 792.5,-657 786.5,-663 780.5,-663\"/>\n<text text-anchor=\"start\" x=\"684\" y=\"-647.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">age \u2264 &#45;0.736</text>\n<text text-anchor=\"start\" x=\"687\" y=\"-632.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">gini = 0.476</text>\n<text text-anchor=\"start\" x=\"681\" y=\"-617.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">samples = 23</text>\n<text text-anchor=\"start\" x=\"677.5\" y=\"-602.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">value = [14, 9]</text>\n<text text-anchor=\"start\" x=\"700.5\" y=\"-587.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">class = l</text>\n</g>\n<!-- 34&#45;&gt;35 -->\n<g id=\"edge35\" class=\"edge\">\n<title>34&#45;&gt;35</title>\n<path fill=\"none\" stroke=\"#000000\" d=\"M829.1875,-698.8796C817.1182,-689.368 804.1961,-679.1843 791.8212,-669.432\"/>\n<polygon fill=\"#000000\" stroke=\"#000000\" points=\"793.8032,-666.5377 783.7827,-663.0969 789.4704,-672.0356 793.8032,-666.5377\"/>\n</g>\n<!-- 62 -->\n<g id=\"node63\" class=\"node\">\n<title>62</title>\n<path fill=\"#399de5\" fill-opacity=\"0.666667\" stroke=\"#000000\" d=\"M941.5,-663C941.5,-663 822.5,-663 822.5,-663 816.5,-663 810.5,-657 810.5,-651 810.5,-651 810.5,-592 810.5,-592 810.5,-586 816.5,-580 822.5,-580 822.5,-580 941.5,-580 941.5,-580 947.5,-580 953.5,-586 953.5,-592 953.5,-592 953.5,-651 953.5,-651 953.5,-657 947.5,-663 941.5,-663\"/>\n<text text-anchor=\"start\" x=\"818.5\" y=\"-647.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">Principal \u2264 &#45;0.399</text>\n<text text-anchor=\"start\" x=\"838\" y=\"-632.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">gini = 0.375</text>\n<text text-anchor=\"start\" x=\"836.5\" y=\"-617.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">samples = 4</text>\n<text text-anchor=\"start\" x=\"833\" y=\"-602.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">value = [1, 3]</text>\n<text text-anchor=\"start\" x=\"849\" y=\"-587.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">class = o</text>\n</g>\n<!-- 34&#45;&gt;62 -->\n<g id=\"edge62\" class=\"edge\">\n<title>34&#45;&gt;62</title>\n<path fill=\"none\" stroke=\"#000000\" d=\"M882,-698.8796C882,-690.6838 882,-681.9891 882,-673.5013\"/>\n<polygon fill=\"#000000\" stroke=\"#000000\" points=\"885.5001,-673.298 882,-663.2981 878.5001,-673.2981 885.5001,-673.298\"/>\n</g>\n<!-- 36 -->\n<g id=\"node37\" class=\"node\">\n<title>36</title>\n<path fill=\"#e58139\" fill-opacity=\"0.498039\" stroke=\"#000000\" d=\"M449.5,-544C449.5,-544 330.5,-544 330.5,-544 324.5,-544 318.5,-538 318.5,-532 318.5,-532 318.5,-473 318.5,-473 318.5,-467 324.5,-461 330.5,-461 330.5,-461 449.5,-461 449.5,-461 455.5,-461 461.5,-467 461.5,-473 461.5,-473 461.5,-532 461.5,-532 461.5,-538 455.5,-544 449.5,-544\"/>\n<text text-anchor=\"start\" x=\"326.5\" y=\"-528.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">Principal \u2264 &#45;0.399</text>\n<text text-anchor=\"start\" x=\"346\" y=\"-513.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">gini = 0.444</text>\n<text text-anchor=\"start\" x=\"344.5\" y=\"-498.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">samples = 9</text>\n<text text-anchor=\"start\" x=\"341\" y=\"-483.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">value = [6, 3]</text>\n<text text-anchor=\"start\" x=\"359.5\" y=\"-468.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">class = l</text>\n</g>\n<!-- 35&#45;&gt;36 -->\n<g id=\"edge36\" class=\"edge\">\n<title>35&#45;&gt;36</title>\n<path fill=\"none\" stroke=\"#000000\" d=\"M669.2475,-599.95C613.7733,-580.591 531.9392,-552.033 471.1859,-530.8317\"/>\n<polygon fill=\"#000000\" stroke=\"#000000\" points=\"472.2184,-527.4851 461.6236,-527.4947 469.912,-534.0942 472.2184,-527.4851\"/>\n</g>\n<!-- 45 -->\n<g id=\"node46\" class=\"node\">\n<title>45</title>\n<path fill=\"#e58139\" fill-opacity=\"0.250980\" stroke=\"#000000\" d=\"M790,-544C790,-544 676,-544 676,-544 670,-544 664,-538 664,-532 664,-532 664,-473 664,-473 664,-467 670,-461 676,-461 676,-461 790,-461 790,-461 796,-461 802,-467 802,-473 802,-473 802,-532 802,-532 802,-538 796,-544 790,-544\"/>\n<text text-anchor=\"start\" x=\"672\" y=\"-528.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">Principal \u2264 0.058</text>\n<text text-anchor=\"start\" x=\"693.5\" y=\"-513.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">gini = 0.49</text>\n<text text-anchor=\"start\" x=\"683\" y=\"-498.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">samples = 14</text>\n<text text-anchor=\"start\" x=\"684\" y=\"-483.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">value = [8, 6]</text>\n<text text-anchor=\"start\" x=\"702.5\" y=\"-468.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">class = l</text>\n</g>\n<!-- 35&#45;&gt;45 -->\n<g id=\"edge45\" class=\"edge\">\n<title>35&#45;&gt;45</title>\n<path fill=\"none\" stroke=\"#000000\" d=\"M731.6995,-579.8796C731.8372,-571.6838 731.9834,-562.9891 732.126,-554.5013\"/>\n<polygon fill=\"#000000\" stroke=\"#000000\" points=\"735.6289,-554.3555 732.2975,-544.2981 728.6299,-554.2378 735.6289,-554.3555\"/>\n</g>\n<!-- 37 -->\n<g id=\"node38\" class=\"node\">\n<title>37</title>\n<path fill=\"transparent\" stroke=\"#000000\" d=\"M237,-425C237,-425 141,-425 141,-425 135,-425 129,-419 129,-413 129,-413 129,-354 129,-354 129,-348 135,-342 141,-342 141,-342 237,-342 237,-342 243,-342 249,-348 249,-354 249,-354 249,-413 249,-413 249,-419 243,-425 237,-425\"/>\n<text text-anchor=\"start\" x=\"137\" y=\"-409.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">college \u2264 0.14</text>\n<text text-anchor=\"start\" x=\"154\" y=\"-394.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">gini = 0.5</text>\n<text text-anchor=\"start\" x=\"143.5\" y=\"-379.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">samples = 2</text>\n<text text-anchor=\"start\" x=\"140\" y=\"-364.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">value = [1, 1]</text>\n<text text-anchor=\"start\" x=\"158.5\" y=\"-349.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">class = l</text>\n</g>\n<!-- 36&#45;&gt;37 -->\n<g id=\"edge37\" class=\"edge\">\n<title>36&#45;&gt;37</title>\n<path fill=\"none\" stroke=\"#000000\" d=\"M319.7,-460.8796C299.6811,-449.0276 277.8999,-436.1323 257.9616,-424.328\"/>\n<polygon fill=\"#000000\" stroke=\"#000000\" points=\"259.6309,-421.2489 249.2428,-419.1661 256.0647,-427.2724 259.6309,-421.2489\"/>\n</g>\n<!-- 40 -->\n<g id=\"node41\" class=\"node\">\n<title>40</title>\n<path fill=\"#e58139\" fill-opacity=\"0.600000\" stroke=\"#000000\" d=\"M438,-425C438,-425 342,-425 342,-425 336,-425 330,-419 330,-413 330,-413 330,-354 330,-354 330,-348 336,-342 342,-342 342,-342 438,-342 438,-342 444,-342 450,-348 450,-354 450,-354 450,-413 450,-413 450,-419 444,-425 438,-425\"/>\n<text text-anchor=\"start\" x=\"338\" y=\"-409.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">college \u2264 0.14</text>\n<text text-anchor=\"start\" x=\"346\" y=\"-394.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">gini = 0.408</text>\n<text text-anchor=\"start\" x=\"344.5\" y=\"-379.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">samples = 7</text>\n<text text-anchor=\"start\" x=\"341\" y=\"-364.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">value = [5, 2]</text>\n<text text-anchor=\"start\" x=\"359.5\" y=\"-349.8\" 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1161,-676.7021 1161,-665.9015\"/>\n<polygon fill=\"#000000\" stroke=\"#000000\" points=\"1164.5001,-665.8149 1161,-655.8149 1157.5001,-665.815 1164.5001,-665.8149\"/>\n</g>\n<!-- 69 -->\n<g id=\"node70\" class=\"node\">\n<title>69</title>\n<path fill=\"#399de5\" fill-opacity=\"0.749020\" stroke=\"#000000\" d=\"M1426,-901C1426,-901 1330,-901 1330,-901 1324,-901 1318,-895 1318,-889 1318,-889 1318,-830 1318,-830 1318,-824 1324,-818 1330,-818 1330,-818 1426,-818 1426,-818 1432,-818 1438,-824 1438,-830 1438,-830 1438,-889 1438,-889 1438,-895 1432,-901 1426,-901\"/>\n<text text-anchor=\"start\" x=\"1326\" y=\"-885.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">college \u2264 0.14</text>\n<text text-anchor=\"start\" x=\"1338.5\" y=\"-870.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">gini = 0.32</text>\n<text text-anchor=\"start\" x=\"1328\" y=\"-855.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">samples = 10</text>\n<text text-anchor=\"start\" x=\"1329\" y=\"-840.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">value = [2, 8]</text>\n<text text-anchor=\"start\" x=\"1345\" y=\"-825.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">class = o</text>\n</g>\n<!-- 68&#45;&gt;69 -->\n<g id=\"edge69\" class=\"edge\">\n<title>68&#45;&gt;69</title>\n<path fill=\"none\" stroke=\"#000000\" d=\"M1378,-936.8796C1378,-928.6838 1378,-919.9891 1378,-911.5013\"/>\n<polygon fill=\"#000000\" stroke=\"#000000\" points=\"1381.5001,-911.298 1378,-901.2981 1374.5001,-911.2981 1381.5001,-911.298\"/>\n</g>\n<!-- 74 -->\n<g id=\"node75\" class=\"node\">\n<title>74</title>\n<path fill=\"#e58139\" fill-opacity=\"0.105882\" stroke=\"#000000\" d=\"M1712,-901C1712,-901 1506,-901 1506,-901 1500,-901 1494,-895 1494,-889 1494,-889 1494,-830 1494,-830 1494,-824 1500,-818 1506,-818 1506,-818 1712,-818 1712,-818 1718,-818 1724,-824 1724,-830 1724,-830 1724,-889 1724,-889 1724,-895 1718,-901 1712,-901\"/>\n<text text-anchor=\"start\" x=\"1502\" y=\"-885.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">High School or Below \u2264 0.128</text>\n<text text-anchor=\"start\" x=\"1565\" y=\"-870.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">gini = 0.498</text>\n<text text-anchor=\"start\" x=\"1559\" y=\"-855.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">samples = 36</text>\n<text text-anchor=\"start\" x=\"1551\" y=\"-840.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">value = [19, 17]</text>\n<text text-anchor=\"start\" x=\"1578.5\" y=\"-825.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">class = l</text>\n</g>\n<!-- 68&#45;&gt;74 -->\n<g id=\"edge74\" class=\"edge\">\n<title>68&#45;&gt;74</title>\n<path fill=\"none\" stroke=\"#000000\" d=\"M1444.1953,-944.3994C1467.5868,-932.3492 1494.2998,-918.588 1519.3109,-905.7035\"/>\n<polygon fill=\"#000000\" stroke=\"#000000\" points=\"1521.1524,-908.692 1528.4392,-901.001 1517.9466,-902.4692 1521.1524,-908.692\"/>\n</g>\n<!-- 70 -->\n<g id=\"node71\" class=\"node\">\n<title>70</title>\n<path fill=\"#399de5\" fill-opacity=\"0.498039\" stroke=\"#000000\" d=\"M1340,-782C1340,-782 1250,-782 1250,-782 1244,-782 1238,-776 1238,-770 1238,-770 1238,-711 1238,-711 1238,-705 1244,-699 1250,-699 1250,-699 1340,-699 1340,-699 1346,-699 1352,-705 1352,-711 1352,-711 1352,-770 1352,-770 1352,-776 1346,-782 1340,-782\"/>\n<text text-anchor=\"start\" x=\"1248\" y=\"-766.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">age \u2264 &#45;1.151</text>\n<text text-anchor=\"start\" x=\"1251\" y=\"-751.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">gini = 0.444</text>\n<text text-anchor=\"start\" x=\"1249.5\" y=\"-736.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">samples = 6</text>\n<text text-anchor=\"start\" x=\"1246\" y=\"-721.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">value = [2, 4]</text>\n<text text-anchor=\"start\" x=\"1262\" y=\"-706.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">class = o</text>\n</g>\n<!-- 69&#45;&gt;70 -->\n<g id=\"edge70\" class=\"edge\">\n<title>69&#45;&gt;70</title>\n<path fill=\"none\" stroke=\"#000000\" d=\"M1348.9706,-817.8796C1342.8145,-809.0534 1336.2549,-799.6485 1329.9064,-790.5466\"/>\n<polygon fill=\"#000000\" stroke=\"#000000\" points=\"1332.7448,-788.4978 1324.1533,-782.2981 1327.0033,-792.5024 1332.7448,-788.4978\"/>\n</g>\n<!-- 73 -->\n<g id=\"node74\" class=\"node\">\n<title>73</title>\n<path fill=\"#399de5\" stroke=\"#000000\" d=\"M1472,-774.5C1472,-774.5 1382,-774.5 1382,-774.5 1376,-774.5 1370,-768.5 1370,-762.5 1370,-762.5 1370,-718.5 1370,-718.5 1370,-712.5 1376,-706.5 1382,-706.5 1382,-706.5 1472,-706.5 1472,-706.5 1478,-706.5 1484,-712.5 1484,-718.5 1484,-718.5 1484,-762.5 1484,-762.5 1484,-768.5 1478,-774.5 1472,-774.5\"/>\n<text text-anchor=\"start\" x=\"1392\" y=\"-759.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">gini = 0.0</text>\n<text text-anchor=\"start\" x=\"1381.5\" y=\"-744.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">samples = 4</text>\n<text text-anchor=\"start\" x=\"1378\" y=\"-729.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">value = [0, 4]</text>\n<text text-anchor=\"start\" x=\"1394\" y=\"-714.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">class = o</text>\n</g>\n<!-- 69&#45;&gt;73 -->\n<g id=\"edge73\" class=\"edge\">\n<title>69&#45;&gt;73</title>\n<path fill=\"none\" stroke=\"#000000\" d=\"M1395.1378,-817.8796C1399.6203,-806.9935 1404.4653,-795.227 1408.9917,-784.2344\"/>\n<polygon fill=\"#000000\" stroke=\"#000000\" points=\"1412.2991,-785.3944 1412.8703,-774.8149 1405.8264,-782.7291 1412.2991,-785.3944\"/>\n</g>\n<!-- 71 -->\n<g id=\"node72\" class=\"node\">\n<title>71</title>\n<path fill=\"#399de5\" fill-opacity=\"0.498039\" stroke=\"#000000\" d=\"M1338,-655.5C1338,-655.5 1248,-655.5 1248,-655.5 1242,-655.5 1236,-649.5 1236,-643.5 1236,-643.5 1236,-599.5 1236,-599.5 1236,-593.5 1242,-587.5 1248,-587.5 1248,-587.5 1338,-587.5 1338,-587.5 1344,-587.5 1350,-593.5 1350,-599.5 1350,-599.5 1350,-643.5 1350,-643.5 1350,-649.5 1344,-655.5 1338,-655.5\"/>\n<text text-anchor=\"start\" x=\"1249\" y=\"-640.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">gini = 0.444</text>\n<text text-anchor=\"start\" x=\"1247.5\" y=\"-625.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">samples = 3</text>\n<text text-anchor=\"start\" x=\"1244\" y=\"-610.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">value = [1, 2]</text>\n<text text-anchor=\"start\" x=\"1260\" y=\"-595.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">class = o</text>\n</g>\n<!-- 70&#45;&gt;71 -->\n<g id=\"edge71\" class=\"edge\">\n<title>70&#45;&gt;71</title>\n<path fill=\"none\" stroke=\"#000000\" d=\"M1294.3005,-698.8796C1294.1212,-688.2134 1293.9278,-676.7021 1293.7462,-665.9015\"/>\n<polygon fill=\"#000000\" stroke=\"#000000\" points=\"1297.2444,-665.7547 1293.5767,-655.8149 1290.2454,-665.8724 1297.2444,-665.7547\"/>\n</g>\n<!-- 72 -->\n<g id=\"node73\" class=\"node\">\n<title>72</title>\n<path fill=\"#399de5\" fill-opacity=\"0.498039\" stroke=\"#000000\" d=\"M1470,-655.5C1470,-655.5 1380,-655.5 1380,-655.5 1374,-655.5 1368,-649.5 1368,-643.5 1368,-643.5 1368,-599.5 1368,-599.5 1368,-593.5 1374,-587.5 1380,-587.5 1380,-587.5 1470,-587.5 1470,-587.5 1476,-587.5 1482,-593.5 1482,-599.5 1482,-599.5 1482,-643.5 1482,-643.5 1482,-649.5 1476,-655.5 1470,-655.5\"/>\n<text text-anchor=\"start\" x=\"1381\" y=\"-640.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">gini = 0.444</text>\n<text text-anchor=\"start\" x=\"1379.5\" y=\"-625.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">samples = 3</text>\n<text text-anchor=\"start\" x=\"1376\" y=\"-610.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">value = [1, 2]</text>\n<text text-anchor=\"start\" x=\"1392\" y=\"-595.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">class = o</text>\n</g>\n<!-- 70&#45;&gt;72 -->\n<g id=\"edge72\" class=\"edge\">\n<title>70&#45;&gt;72</title>\n<path fill=\"none\" stroke=\"#000000\" d=\"M1340.4677,-698.8796C1353.3211,-687.1138 1367.2979,-674.3197 1380.1166,-662.5855\"/>\n<polygon fill=\"#000000\" stroke=\"#000000\" points=\"1382.5001,-665.1488 1387.5131,-655.8149 1377.7736,-659.9854 1382.5001,-665.1488\"/>\n</g>\n<!-- 75 -->\n<g id=\"node76\" class=\"node\">\n<title>75</title>\n<path fill=\"#e58139\" fill-opacity=\"0.400000\" stroke=\"#000000\" d=\"M1658.5,-782C1658.5,-782 1559.5,-782 1559.5,-782 1553.5,-782 1547.5,-776 1547.5,-770 1547.5,-770 1547.5,-711 1547.5,-711 1547.5,-705 1553.5,-699 1559.5,-699 1559.5,-699 1658.5,-699 1658.5,-699 1664.5,-699 1670.5,-705 1670.5,-711 1670.5,-711 1670.5,-770 1670.5,-770 1670.5,-776 1664.5,-782 1658.5,-782\"/>\n<text text-anchor=\"start\" x=\"1562\" y=\"-766.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">age \u2264 &#45;0.404</text>\n<text text-anchor=\"start\" x=\"1565\" y=\"-751.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">gini = 0.469</text>\n<text text-anchor=\"start\" x=\"1559\" y=\"-736.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">samples = 16</text>\n<text text-anchor=\"start\" x=\"1555.5\" y=\"-721.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">value = [10, 6]</text>\n<text text-anchor=\"start\" x=\"1578.5\" y=\"-706.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">class = l</text>\n</g>\n<!-- 74&#45;&gt;75 -->\n<g id=\"edge75\" class=\"edge\">\n<title>74&#45;&gt;75</title>\n<path fill=\"none\" stroke=\"#000000\" d=\"M1609,-817.8796C1609,-809.6838 1609,-800.9891 1609,-792.5013\"/>\n<polygon fill=\"#000000\" stroke=\"#000000\" points=\"1612.5001,-792.298 1609,-782.2981 1605.5001,-792.2981 1612.5001,-792.298\"/>\n</g>\n<!-- 90 -->\n<g id=\"node91\" class=\"node\">\n<title>90</title>\n<path fill=\"#399de5\" fill-opacity=\"0.180392\" stroke=\"#000000\" d=\"M1930.5,-782C1930.5,-782 1831.5,-782 1831.5,-782 1825.5,-782 1819.5,-776 1819.5,-770 1819.5,-770 1819.5,-711 1819.5,-711 1819.5,-705 1825.5,-699 1831.5,-699 1831.5,-699 1930.5,-699 1930.5,-699 1936.5,-699 1942.5,-705 1942.5,-711 1942.5,-711 1942.5,-770 1942.5,-770 1942.5,-776 1936.5,-782 1930.5,-782\"/>\n<text text-anchor=\"start\" x=\"1838.5\" y=\"-766.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">age \u2264 &#45;0.57</text>\n<text text-anchor=\"start\" x=\"1837\" y=\"-751.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">gini = 0.495</text>\n<text text-anchor=\"start\" x=\"1831\" y=\"-736.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">samples = 20</text>\n<text text-anchor=\"start\" x=\"1827.5\" y=\"-721.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">value = [9, 11]</text>\n<text text-anchor=\"start\" x=\"1848\" y=\"-706.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">class = o</text>\n</g>\n<!-- 74&#45;&gt;90 -->\n<g id=\"edge90\" class=\"edge\">\n<title>74&#45;&gt;90</title>\n<path fill=\"none\" stroke=\"#000000\" d=\"M1704.1324,-817.8796C1738.8513,-802.6901 1777.4875,-785.7867 1809.7708,-771.6628\"/>\n<polygon fill=\"#000000\" stroke=\"#000000\" 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text-anchor=\"start\" x=\"1517\" y=\"-602.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">value = [8, 2]</text>\n<text text-anchor=\"start\" x=\"1535.5\" y=\"-587.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">class = l</text>\n</g>\n<!-- 75&#45;&gt;76 -->\n<g id=\"edge76\" class=\"edge\">\n<title>75&#45;&gt;76</title>\n<path fill=\"none\" stroke=\"#000000\" d=\"M1593.9607,-698.8796C1590.9341,-690.5037 1587.7192,-681.6067 1584.5883,-672.942\"/>\n<polygon fill=\"#000000\" stroke=\"#000000\" points=\"1587.7937,-671.5135 1581.1035,-663.2981 1581.2103,-673.8924 1587.7937,-671.5135\"/>\n</g>\n<!-- 85 -->\n<g id=\"node86\" class=\"node\">\n<title>85</title>\n<path fill=\"#399de5\" fill-opacity=\"0.498039\" stroke=\"#000000\" d=\"M1768.5,-663C1768.5,-663 1661.5,-663 1661.5,-663 1655.5,-663 1649.5,-657 1649.5,-651 1649.5,-651 1649.5,-592 1649.5,-592 1649.5,-586 1655.5,-580 1661.5,-580 1661.5,-580 1768.5,-580 1768.5,-580 1774.5,-580 1780.5,-586 1780.5,-592 1780.5,-592 1780.5,-651 1780.5,-651 1780.5,-657 1774.5,-663 1768.5,-663\"/>\n<text text-anchor=\"start\" x=\"1657.5\" y=\"-647.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">Gender \u2264 0.979</text>\n<text text-anchor=\"start\" x=\"1671\" y=\"-632.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">gini = 0.444</text>\n<text text-anchor=\"start\" x=\"1669.5\" y=\"-617.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">samples = 6</text>\n<text text-anchor=\"start\" x=\"1666\" y=\"-602.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">value = [2, 4]</text>\n<text text-anchor=\"start\" x=\"1682\" y=\"-587.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">class = o</text>\n</g>\n<!-- 75&#45;&gt;85 -->\n<g id=\"edge85\" class=\"edge\">\n<title>75&#45;&gt;85</title>\n<path fill=\"none\" stroke=\"#000000\" 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font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">Gender \u2264 0.979</text>\n<text text-anchor=\"start\" x=\"1900\" y=\"-632.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">gini = 0.375</text>\n<text text-anchor=\"start\" x=\"1898.5\" y=\"-617.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">samples = 8</text>\n<text text-anchor=\"start\" x=\"1895\" y=\"-602.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">value = [2, 6]</text>\n<text text-anchor=\"start\" x=\"1911\" y=\"-587.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">class = o</text>\n</g>\n<!-- 90&#45;&gt;91 -->\n<g id=\"edge91\" class=\"edge\">\n<title>90&#45;&gt;91</title>\n<path fill=\"none\" stroke=\"#000000\" d=\"M1903.0343,-698.8796C1907.564,-690.3236 1912.3815,-681.2238 1917.0618,-672.3833\"/>\n<polygon fill=\"#000000\" stroke=\"#000000\" points=\"1920.2859,-673.7736 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x=\"2160\" y=\"-602.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">value = [7, 5]</text>\n<text text-anchor=\"start\" x=\"2178.5\" y=\"-587.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">class = l</text>\n</g>\n<!-- 90&#45;&gt;96 -->\n<g id=\"edge96\" class=\"edge\">\n<title>90&#45;&gt;96</title>\n<path fill=\"none\" stroke=\"#000000\" d=\"M1942.505,-703.3983C1945.6822,-701.8456 1948.8586,-700.3688 1952,-699 2011.1009,-673.2485 2081.3729,-652.6977 2133.4855,-639.2464\"/>\n<polygon fill=\"#000000\" stroke=\"#000000\" points=\"2134.5034,-642.5989 2143.3272,-636.7346 2132.7723,-635.8163 2134.5034,-642.5989\"/>\n</g>\n<!-- 92 -->\n<g id=\"node93\" class=\"node\">\n<title>92</title>\n<path fill=\"#399de5\" fill-opacity=\"0.600000\" stroke=\"#000000\" d=\"M1989,-544C1989,-544 1899,-544 1899,-544 1893,-544 1887,-538 1887,-532 1887,-532 1887,-473 1887,-473 1887,-467 1893,-461 1899,-461 1899,-461 1989,-461 1989,-461 1995,-461 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1944,-562.9891 1944,-554.5013\"/>\n<polygon fill=\"#000000\" stroke=\"#000000\" points=\"1947.5001,-554.298 1944,-544.2981 1940.5001,-554.2981 1947.5001,-554.298\"/>\n</g>\n<!-- 95 -->\n<g id=\"node96\" class=\"node\">\n<title>95</title>\n<path fill=\"#399de5\" stroke=\"#000000\" d=\"M2121,-536.5C2121,-536.5 2031,-536.5 2031,-536.5 2025,-536.5 2019,-530.5 2019,-524.5 2019,-524.5 2019,-480.5 2019,-480.5 2019,-474.5 2025,-468.5 2031,-468.5 2031,-468.5 2121,-468.5 2121,-468.5 2127,-468.5 2133,-474.5 2133,-480.5 2133,-480.5 2133,-524.5 2133,-524.5 2133,-530.5 2127,-536.5 2121,-536.5\"/>\n<text text-anchor=\"start\" x=\"2041\" y=\"-521.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">gini = 0.0</text>\n<text text-anchor=\"start\" x=\"2030.5\" y=\"-506.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">samples = 1</text>\n<text text-anchor=\"start\" x=\"2027\" y=\"-491.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">value = [0, 1]</text>\n<text text-anchor=\"start\" x=\"2043\" y=\"-476.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">class = o</text>\n</g>\n<!-- 91&#45;&gt;95 -->\n<g id=\"edge95\" class=\"edge\">\n<title>91&#45;&gt;95</title>\n<path fill=\"none\" stroke=\"#000000\" d=\"M1990.1672,-579.8796C2003.2183,-568.1138 2017.4101,-555.3197 2030.4261,-543.5855\"/>\n<polygon fill=\"#000000\" stroke=\"#000000\" points=\"2032.8526,-546.1104 2037.9364,-536.8149 2028.1654,-540.9113 2032.8526,-546.1104\"/>\n</g>\n<!-- 93 -->\n<g id=\"node94\" class=\"node\">\n<title>93</title>\n<path fill=\"#399de5\" fill-opacity=\"0.666667\" stroke=\"#000000\" d=\"M1939,-417.5C1939,-417.5 1849,-417.5 1849,-417.5 1843,-417.5 1837,-411.5 1837,-405.5 1837,-405.5 1837,-361.5 1837,-361.5 1837,-355.5 1843,-349.5 1849,-349.5 1849,-349.5 1939,-349.5 1939,-349.5 1945,-349.5 1951,-355.5 1951,-361.5 1951,-361.5 1951,-405.5 1951,-405.5 1951,-411.5 1945,-417.5 1939,-417.5\"/>\n<text text-anchor=\"start\" x=\"1850\" y=\"-402.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">gini = 0.375</text>\n<text text-anchor=\"start\" x=\"1848.5\" y=\"-387.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">samples = 4</text>\n<text text-anchor=\"start\" x=\"1845\" y=\"-372.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">value = [1, 3]</text>\n<text text-anchor=\"start\" x=\"1861\" y=\"-357.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">class = o</text>\n</g>\n<!-- 92&#45;&gt;93 -->\n<g id=\"edge93\" class=\"edge\">\n<title>92&#45;&gt;93</title>\n<path fill=\"none\" stroke=\"#000000\" d=\"M1926.5124,-460.8796C1921.9384,-449.9935 1916.9946,-438.227 1912.3758,-427.2344\"/>\n<polygon fill=\"#000000\" stroke=\"#000000\" points=\"1915.5185,-425.6784 1908.418,-417.8149 1909.065,-428.39 1915.5185,-425.6784\"/>\n</g>\n<!-- 94 -->\n<g id=\"node95\" class=\"node\">\n<title>94</title>\n<path fill=\"#399de5\" fill-opacity=\"0.498039\" stroke=\"#000000\" d=\"M2071,-417.5C2071,-417.5 1981,-417.5 1981,-417.5 1975,-417.5 1969,-411.5 1969,-405.5 1969,-405.5 1969,-361.5 1969,-361.5 1969,-355.5 1975,-349.5 1981,-349.5 1981,-349.5 2071,-349.5 2071,-349.5 2077,-349.5 2083,-355.5 2083,-361.5 2083,-361.5 2083,-405.5 2083,-405.5 2083,-411.5 2077,-417.5 2071,-417.5\"/>\n<text text-anchor=\"start\" x=\"1982\" y=\"-402.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">gini = 0.444</text>\n<text text-anchor=\"start\" x=\"1980.5\" y=\"-387.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">samples = 3</text>\n<text text-anchor=\"start\" x=\"1977\" y=\"-372.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">value = [1, 2]</text>\n<text text-anchor=\"start\" x=\"1993\" y=\"-357.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">class = o</text>\n</g>\n<!-- 92&#45;&gt;94 -->\n<g id=\"edge94\" class=\"edge\">\n<title>92&#45;&gt;94</title>\n<path fill=\"none\" stroke=\"#000000\" d=\"M1972.6796,-460.8796C1980.4083,-449.6636 1988.7809,-437.5131 1996.5508,-426.2372\"/>\n<polygon fill=\"#000000\" stroke=\"#000000\" points=\"1999.5623,-428.0353 2002.3544,-417.8149 1993.7982,-424.0634 1999.5623,-428.0353\"/>\n</g>\n<!-- 97 -->\n<g id=\"node98\" class=\"node\">\n<title>97</title>\n<path fill=\"#e58139\" fill-opacity=\"0.427451\" stroke=\"#000000\" d=\"M2255,-544C2255,-544 2163,-544 2163,-544 2157,-544 2151,-538 2151,-532 2151,-532 2151,-473 2151,-473 2151,-467 2157,-461 2163,-461 2163,-461 2255,-461 2255,-461 2261,-461 2267,-467 2267,-473 2267,-473 2267,-532 2267,-532 2267,-538 2261,-544 2255,-544\"/>\n<text text-anchor=\"start\" x=\"2164.5\" y=\"-528.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">age \u2264 0.093</text>\n<text text-anchor=\"start\" x=\"2165\" y=\"-513.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">gini = 0.463</text>\n<text text-anchor=\"start\" x=\"2159\" y=\"-498.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">samples = 11</text>\n<text text-anchor=\"start\" x=\"2160\" y=\"-483.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">value = [7, 4]</text>\n<text text-anchor=\"start\" x=\"2178.5\" y=\"-468.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">class = l</text>\n</g>\n<!-- 96&#45;&gt;97 -->\n<g id=\"edge97\" class=\"edge\">\n<title>96&#45;&gt;97</title>\n<path fill=\"none\" stroke=\"#000000\" d=\"M2209,-579.8796C2209,-571.6838 2209,-562.9891 2209,-554.5013\"/>\n<polygon fill=\"#000000\" stroke=\"#000000\" points=\"2212.5001,-554.298 2209,-544.2981 2205.5001,-554.2981 2212.5001,-554.298\"/>\n</g>\n<!-- 106 -->\n<g id=\"node107\" class=\"node\">\n<title>106</title>\n<path fill=\"#399de5\" stroke=\"#000000\" d=\"M2387,-536.5C2387,-536.5 2297,-536.5 2297,-536.5 2291,-536.5 2285,-530.5 2285,-524.5 2285,-524.5 2285,-480.5 2285,-480.5 2285,-474.5 2291,-468.5 2297,-468.5 2297,-468.5 2387,-468.5 2387,-468.5 2393,-468.5 2399,-474.5 2399,-480.5 2399,-480.5 2399,-524.5 2399,-524.5 2399,-530.5 2393,-536.5 2387,-536.5\"/>\n<text text-anchor=\"start\" x=\"2307\" y=\"-521.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">gini = 0.0</text>\n<text text-anchor=\"start\" x=\"2296.5\" y=\"-506.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">samples = 1</text>\n<text text-anchor=\"start\" x=\"2293\" y=\"-491.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">value = [0, 1]</text>\n<text text-anchor=\"start\" x=\"2309\" y=\"-476.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">class = o</text>\n</g>\n<!-- 96&#45;&gt;106 -->\n<g id=\"edge106\" class=\"edge\">\n<title>96&#45;&gt;106</title>\n<path fill=\"none\" stroke=\"#000000\" d=\"M2255.5169,-579.8796C2268.667,-568.1138 2282.9663,-555.3197 2296.0809,-543.5855\"/>\n<polygon fill=\"#000000\" stroke=\"#000000\" points=\"2298.5294,-546.0913 2303.648,-536.8149 2293.8618,-540.8746 2298.5294,-546.0913\"/>\n</g>\n<!-- 98 -->\n<g id=\"node99\" class=\"node\">\n<title>98</title>\n<path fill=\"#e58139\" fill-opacity=\"0.333333\" stroke=\"#000000\" d=\"M2238,-425C2238,-425 2146,-425 2146,-425 2140,-425 2134,-419 2134,-413 2134,-413 2134,-354 2134,-354 2134,-348 2140,-342 2146,-342 2146,-342 2238,-342 2238,-342 2244,-342 2250,-348 2250,-354 2250,-354 2250,-413 2250,-413 2250,-419 2244,-425 2238,-425\"/>\n<text text-anchor=\"start\" x=\"2145\" y=\"-409.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">age \u2264 &#45;0.239</text>\n<text text-anchor=\"start\" x=\"2152.5\" y=\"-394.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">gini = 0.48</text>\n<text text-anchor=\"start\" x=\"2142\" y=\"-379.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">samples = 10</text>\n<text text-anchor=\"start\" x=\"2143\" y=\"-364.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">value = [6, 4]</text>\n<text text-anchor=\"start\" x=\"2161.5\" y=\"-349.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">class = l</text>\n</g>\n<!-- 97&#45;&gt;98 -->\n<g id=\"edge98\" class=\"edge\">\n<title>97&#45;&gt;98</title>\n<path fill=\"none\" stroke=\"#000000\" d=\"M2203.0542,-460.8796C2201.8705,-452.5938 2200.614,-443.798 2199.3888,-435.2216\"/>\n<polygon fill=\"#000000\" stroke=\"#000000\" points=\"2202.8503,-434.7026 2197.9712,-425.2981 2195.9206,-435.6926 2202.8503,-434.7026\"/>\n</g>\n<!-- 105 -->\n<g id=\"node106\" class=\"node\">\n<title>105</title>\n<path fill=\"#e58139\" stroke=\"#000000\" d=\"M2370,-417.5C2370,-417.5 2280,-417.5 2280,-417.5 2274,-417.5 2268,-411.5 2268,-405.5 2268,-405.5 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text-anchor=\"start\" x=\"2077\" y=\"-245.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">value = [2, 2]</text>\n<text text-anchor=\"start\" x=\"2095.5\" y=\"-230.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">class = l</text>\n</g>\n<!-- 98&#45;&gt;99 -->\n<g id=\"edge99\" class=\"edge\">\n<title>98&#45;&gt;99</title>\n<path fill=\"none\" stroke=\"#000000\" d=\"M2168.9164,-341.8796C2164.1211,-333.2335 2159.0178,-324.0322 2154.0662,-315.1042\"/>\n<polygon fill=\"#000000\" stroke=\"#000000\" points=\"2157.0931,-313.3455 2149.1821,-306.2981 2150.9716,-316.7407 2157.0931,-313.3455\"/>\n</g>\n<!-- 102 -->\n<g id=\"node103\" class=\"node\">\n<title>102</title>\n<path fill=\"#e58139\" fill-opacity=\"0.498039\" stroke=\"#000000\" d=\"M2303,-306C2303,-306 2213,-306 2213,-306 2207,-306 2201,-300 2201,-294 2201,-294 2201,-235 2201,-235 2201,-229 2207,-223 2213,-223 2213,-223 2303,-223 2303,-223 2309,-223 2315,-229 2315,-235 2315,-235 2315,-294 2315,-294 2315,-300 2309,-306 2303,-306\"/>\n<text text-anchor=\"start\" x=\"2211\" y=\"-290.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">age \u2264 &#45;0.073</text>\n<text text-anchor=\"start\" x=\"2214\" y=\"-275.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">gini = 0.444</text>\n<text text-anchor=\"start\" x=\"2212.5\" y=\"-260.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">samples = 6</text>\n<text text-anchor=\"start\" x=\"2209\" y=\"-245.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">value = [4, 2]</text>\n<text text-anchor=\"start\" x=\"2227.5\" y=\"-230.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">class = l</text>\n</g>\n<!-- 98&#45;&gt;102 -->\n<g id=\"edge102\" class=\"edge\">\n<title>98&#45;&gt;102</title>\n<path fill=\"none\" stroke=\"#000000\" d=\"M2215.0836,-341.8796C2219.8789,-333.2335 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font-size=\"14.00\" fill=\"#000000\">value = [1, 1]</text>\n<text text-anchor=\"start\" x=\"1963.5\" y=\"-119.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">class = l</text>\n</g>\n<!-- 99&#45;&gt;100 -->\n<g id=\"edge100\" class=\"edge\">\n<title>99&#45;&gt;100</title>\n<path fill=\"none\" stroke=\"#000000\" d=\"M2079.8328,-222.8796C2066.7817,-211.1138 2052.5899,-198.3197 2039.5739,-186.5855\"/>\n<polygon fill=\"#000000\" stroke=\"#000000\" points=\"2041.8346,-183.9113 2032.0636,-179.8149 2037.1474,-189.1104 2041.8346,-183.9113\"/>\n</g>\n<!-- 101 -->\n<g id=\"node102\" class=\"node\">\n<title>101</title>\n<path fill=\"transparent\" stroke=\"#000000\" d=\"M2171,-179.5C2171,-179.5 2081,-179.5 2081,-179.5 2075,-179.5 2069,-173.5 2069,-167.5 2069,-167.5 2069,-123.5 2069,-123.5 2069,-117.5 2075,-111.5 2081,-111.5 2081,-111.5 2171,-111.5 2171,-111.5 2177,-111.5 2183,-117.5 2183,-123.5 2183,-123.5 2183,-167.5 2183,-167.5 2183,-173.5 2177,-179.5 2171,-179.5\"/>\n<text text-anchor=\"start\" x=\"2091\" y=\"-164.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">gini = 0.5</text>\n<text text-anchor=\"start\" x=\"2080.5\" y=\"-149.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">samples = 2</text>\n<text text-anchor=\"start\" x=\"2077\" y=\"-134.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">value = [1, 1]</text>\n<text text-anchor=\"start\" x=\"2095.5\" y=\"-119.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">class = l</text>\n</g>\n<!-- 99&#45;&gt;101 -->\n<g id=\"edge101\" class=\"edge\">\n<title>99&#45;&gt;101</title>\n<path fill=\"none\" stroke=\"#000000\" d=\"M2126,-222.8796C2126,-212.2134 2126,-200.7021 2126,-189.9015\"/>\n<polygon fill=\"#000000\" stroke=\"#000000\" points=\"2129.5001,-189.8149 2126,-179.8149 2122.5001,-189.815 2129.5001,-189.8149\"/>\n</g>\n<!-- 103 -->\n<g id=\"node104\" 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l</text>\n</g>\n<!-- 102&#45;&gt;103 -->\n<g id=\"edge103\" class=\"edge\">\n<title>102&#45;&gt;103</title>\n<path fill=\"none\" stroke=\"#000000\" d=\"M2258,-222.8796C2258,-212.2134 2258,-200.7021 2258,-189.9015\"/>\n<polygon fill=\"#000000\" stroke=\"#000000\" points=\"2261.5001,-189.8149 2258,-179.8149 2254.5001,-189.815 2261.5001,-189.8149\"/>\n</g>\n<!-- 104 -->\n<g id=\"node105\" class=\"node\">\n<title>104</title>\n<path fill=\"#e58139\" fill-opacity=\"0.498039\" stroke=\"#000000\" d=\"M2435,-179.5C2435,-179.5 2345,-179.5 2345,-179.5 2339,-179.5 2333,-173.5 2333,-167.5 2333,-167.5 2333,-123.5 2333,-123.5 2333,-117.5 2339,-111.5 2345,-111.5 2345,-111.5 2435,-111.5 2435,-111.5 2441,-111.5 2447,-117.5 2447,-123.5 2447,-123.5 2447,-167.5 2447,-167.5 2447,-173.5 2441,-179.5 2435,-179.5\"/>\n<text text-anchor=\"start\" x=\"2346\" y=\"-164.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">gini = 0.444</text>\n<text text-anchor=\"start\" x=\"2344.5\" y=\"-149.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">samples = 3</text>\n<text text-anchor=\"start\" x=\"2341\" y=\"-134.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">value = [2, 1]</text>\n<text text-anchor=\"start\" x=\"2359.5\" y=\"-119.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">class = l</text>\n</g>\n<!-- 102&#45;&gt;104 -->\n<g id=\"edge104\" class=\"edge\">\n<title>102&#45;&gt;104</title>\n<path fill=\"none\" stroke=\"#000000\" d=\"M2304.1672,-222.8796C2317.2183,-211.1138 2331.4101,-198.3197 2344.4261,-186.5855\"/>\n<polygon fill=\"#000000\" stroke=\"#000000\" points=\"2346.8526,-189.1104 2351.9364,-179.8149 2342.1654,-183.9113 2346.8526,-189.1104\"/>\n</g>\n<!-- 108 -->\n<g id=\"node109\" class=\"node\">\n<title>108</title>\n<path fill=\"#399de5\" fill-opacity=\"0.713725\" stroke=\"#000000\" d=\"M1687,-1258C1687,-1258 1597,-1258 1597,-1258 1591,-1258 1585,-1252 1585,-1246 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id=\"edge108\" class=\"edge\">\n<title>107&#45;&gt;108</title>\n<path fill=\"none\" stroke=\"#000000\" d=\"M1725.8821,-1293.8796C1715.826,-1284.6031 1705.077,-1274.6874 1694.7446,-1265.1559\"/>\n<polygon fill=\"#000000\" stroke=\"#000000\" points=\"1697.0339,-1262.506 1687.3105,-1258.2981 1692.2876,-1267.6511 1697.0339,-1262.506\"/>\n</g>\n<!-- 117 -->\n<g id=\"node118\" class=\"node\">\n<title>117</title>\n<path fill=\"#e58139\" stroke=\"#000000\" d=\"M1819,-1250.5C1819,-1250.5 1729,-1250.5 1729,-1250.5 1723,-1250.5 1717,-1244.5 1717,-1238.5 1717,-1238.5 1717,-1194.5 1717,-1194.5 1717,-1188.5 1723,-1182.5 1729,-1182.5 1729,-1182.5 1819,-1182.5 1819,-1182.5 1825,-1182.5 1831,-1188.5 1831,-1194.5 1831,-1194.5 1831,-1238.5 1831,-1238.5 1831,-1244.5 1825,-1250.5 1819,-1250.5\"/>\n<text text-anchor=\"start\" x=\"1739\" y=\"-1235.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">gini = 0.0</text>\n<text text-anchor=\"start\" x=\"1728.5\" y=\"-1220.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">samples = 2</text>\n<text text-anchor=\"start\" x=\"1725\" y=\"-1205.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">value = [2, 0]</text>\n<text text-anchor=\"start\" x=\"1743.5\" y=\"-1190.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">class = l</text>\n</g>\n<!-- 107&#45;&gt;117 -->\n<g id=\"edge117\" class=\"edge\">\n<title>107&#45;&gt;117</title>\n<path fill=\"none\" stroke=\"#000000\" d=\"M1772.0493,-1293.8796C1772.3182,-1283.2134 1772.6084,-1271.7021 1772.8806,-1260.9015\"/>\n<polygon fill=\"#000000\" stroke=\"#000000\" points=\"1776.3817,-1260.9 1773.1349,-1250.8149 1769.3839,-1260.7235 1776.3817,-1260.9\"/>\n</g>\n<!-- 109 -->\n<g id=\"node110\" class=\"node\">\n<title>109</title>\n<path fill=\"#e58139\" stroke=\"#000000\" d=\"M1577,-1131.5C1577,-1131.5 1487,-1131.5 1487,-1131.5 1481,-1131.5 1475,-1125.5 1475,-1119.5 1475,-1119.5 1475,-1075.5 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text-anchor=\"start\" x=\"1624.5\" y=\"-1093.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">samples = 8</text>\n<text text-anchor=\"start\" x=\"1621\" y=\"-1078.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">value = [1, 7]</text>\n<text text-anchor=\"start\" x=\"1637\" y=\"-1063.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">class = o</text>\n</g>\n<!-- 108&#45;&gt;110 -->\n<g id=\"edge110\" class=\"edge\">\n<title>108&#45;&gt;110</title>\n<path fill=\"none\" stroke=\"#000000\" d=\"M1651.793,-1174.8796C1653.7426,-1166.5938 1655.8122,-1157.798 1657.8302,-1149.2216\"/>\n<polygon fill=\"#000000\" stroke=\"#000000\" points=\"1661.2817,-1149.8339 1660.1652,-1139.2981 1654.4677,-1148.2306 1661.2817,-1149.8339\"/>\n</g>\n<!-- 111 -->\n<g id=\"node112\" class=\"node\">\n<title>111</title>\n<path fill=\"#399de5\" stroke=\"#000000\" d=\"M1715,-1012.5C1715,-1012.5 1625,-1012.5 1625,-1012.5 1619,-1012.5 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d=\"M1670,-1055.8796C1670,-1045.2134 1670,-1033.7021 1670,-1022.9015\"/>\n<polygon fill=\"#000000\" stroke=\"#000000\" points=\"1673.5001,-1022.8149 1670,-1012.8149 1666.5001,-1022.815 1673.5001,-1022.8149\"/>\n</g>\n<!-- 112 -->\n<g id=\"node113\" class=\"node\">\n<title>112</title>\n<path fill=\"#399de5\" fill-opacity=\"0.666667\" stroke=\"#000000\" d=\"M1920,-1020C1920,-1020 1830,-1020 1830,-1020 1824,-1020 1818,-1014 1818,-1008 1818,-1008 1818,-949 1818,-949 1818,-943 1824,-937 1830,-937 1830,-937 1920,-937 1920,-937 1926,-937 1932,-943 1932,-949 1932,-949 1932,-1008 1932,-1008 1932,-1014 1926,-1020 1920,-1020\"/>\n<text text-anchor=\"start\" x=\"1828\" y=\"-1004.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">age \u2264 &#45;1.151</text>\n<text text-anchor=\"start\" x=\"1831\" y=\"-989.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">gini = 0.375</text>\n<text text-anchor=\"start\" x=\"1829.5\" y=\"-974.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">samples = 4</text>\n<text text-anchor=\"start\" x=\"1826\" y=\"-959.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">value = [1, 3]</text>\n<text text-anchor=\"start\" x=\"1842\" y=\"-944.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">class = o</text>\n</g>\n<!-- 110&#45;&gt;112 -->\n<g id=\"edge112\" class=\"edge\">\n<title>110&#45;&gt;112</title>\n<path fill=\"none\" stroke=\"#000000\" d=\"M1732.6207,-1061.1495C1756.8454,-1047.0873 1784.5909,-1030.9814 1809.1164,-1016.7446\"/>\n<polygon fill=\"#000000\" stroke=\"#000000\" points=\"1811.1026,-1019.6387 1817.9939,-1011.5913 1807.5883,-1013.5847 1811.1026,-1019.6387\"/>\n</g>\n<!-- 113 -->\n<g id=\"node114\" class=\"node\">\n<title>113</title>\n<path fill=\"#399de5\" stroke=\"#000000\" d=\"M1920,-893.5C1920,-893.5 1830,-893.5 1830,-893.5 1824,-893.5 1818,-887.5 1818,-881.5 1818,-881.5 1818,-837.5 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text-anchor=\"start\" x=\"1969\" y=\"-840.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">value = [1, 2]</text>\n<text text-anchor=\"start\" x=\"1985\" y=\"-825.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">class = o</text>\n</g>\n<!-- 112&#45;&gt;114 -->\n<g id=\"edge114\" class=\"edge\">\n<title>112&#45;&gt;114</title>\n<path fill=\"none\" stroke=\"#000000\" d=\"M1925.0145,-936.8796C1936.2701,-927.513 1948.3088,-917.4948 1959.8646,-907.8784\"/>\n<polygon fill=\"#000000\" stroke=\"#000000\" points=\"1962.3242,-910.385 1967.7721,-901.2981 1957.8466,-905.0043 1962.3242,-910.385\"/>\n</g>\n<!-- 115 -->\n<g id=\"node116\" class=\"node\">\n<title>115</title>\n<path fill=\"transparent\" stroke=\"#000000\" d=\"M2063,-774.5C2063,-774.5 1973,-774.5 1973,-774.5 1967,-774.5 1961,-768.5 1961,-762.5 1961,-762.5 1961,-718.5 1961,-718.5 1961,-712.5 1967,-706.5 1973,-706.5 1973,-706.5 2063,-706.5 2063,-706.5 2069,-706.5 2075,-712.5 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font-size=\"14.00\" fill=\"#000000\">class = o</text>\n</g>\n<!-- 114&#45;&gt;116 -->\n<g id=\"edge116\" class=\"edge\">\n<title>114&#45;&gt;116</title>\n<path fill=\"none\" stroke=\"#000000\" d=\"M2064.1672,-817.8796C2077.2183,-806.1138 2091.4101,-793.3197 2104.4261,-781.5855\"/>\n<polygon fill=\"#000000\" stroke=\"#000000\" points=\"2106.8526,-784.1104 2111.9364,-774.8149 2102.1654,-778.9113 2106.8526,-784.1104\"/>\n</g>\n<!-- 119 -->\n<g id=\"node120\" class=\"node\">\n<title>119</title>\n<path fill=\"#e58139\" fill-opacity=\"0.411765\" stroke=\"#000000\" d=\"M2305,-1734C2305,-1734 2099,-1734 2099,-1734 2093,-1734 2087,-1728 2087,-1722 2087,-1722 2087,-1663 2087,-1663 2087,-1657 2093,-1651 2099,-1651 2099,-1651 2305,-1651 2305,-1651 2311,-1651 2317,-1657 2317,-1663 2317,-1663 2317,-1722 2317,-1722 2317,-1728 2311,-1734 2305,-1734\"/>\n<text text-anchor=\"start\" x=\"2095\" y=\"-1718.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">High School or Below 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fill=\"#000000\">class = l</text>\n</g>\n<!-- 118&#45;&gt;166 -->\n<g id=\"edge166\" class=\"edge\">\n<title>118&#45;&gt;166</title>\n<path fill=\"none\" stroke=\"#000000\" d=\"M2268.3042,-1770.1061C2286.9715,-1758.4396 2307.2868,-1745.7312 2326,-1734 2326.9461,-1733.4069 2327.8998,-1732.8089 2328.8596,-1732.207\"/>\n<polygon fill=\"#000000\" stroke=\"#000000\" points=\"2331.0123,-1734.9882 2337.6224,-1726.7083 2327.2916,-1729.0589 2331.0123,-1734.9882\"/>\n</g>\n<!-- 120 -->\n<g id=\"node121\" class=\"node\">\n<title>120</title>\n<path fill=\"#e58139\" fill-opacity=\"0.592157\" stroke=\"#000000\" d=\"M2252.5,-1615C2252.5,-1615 2151.5,-1615 2151.5,-1615 2145.5,-1615 2139.5,-1609 2139.5,-1603 2139.5,-1603 2139.5,-1544 2139.5,-1544 2139.5,-1538 2145.5,-1532 2151.5,-1532 2151.5,-1532 2252.5,-1532 2252.5,-1532 2258.5,-1532 2264.5,-1538 2264.5,-1544 2264.5,-1544 2264.5,-1603 2264.5,-1603 2264.5,-1609 2258.5,-1615 2252.5,-1615\"/>\n<text text-anchor=\"start\" x=\"2147.5\" y=\"-1599.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">terms \u2264 &#45;0.019</text>\n<text text-anchor=\"start\" x=\"2158\" y=\"-1584.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">gini = 0.412</text>\n<text text-anchor=\"start\" x=\"2152\" y=\"-1569.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">samples = 31</text>\n<text text-anchor=\"start\" x=\"2148.5\" y=\"-1554.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">value = [22, 9]</text>\n<text text-anchor=\"start\" x=\"2171.5\" y=\"-1539.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">class = l</text>\n</g>\n<!-- 119&#45;&gt;120 -->\n<g id=\"edge120\" class=\"edge\">\n<title>119&#45;&gt;120</title>\n<path fill=\"none\" stroke=\"#000000\" d=\"M2202,-1650.8796C2202,-1642.6838 2202,-1633.9891 2202,-1625.5013\"/>\n<polygon fill=\"#000000\" stroke=\"#000000\" points=\"2205.5001,-1625.298 2202,-1615.2981 2198.5001,-1625.2981 2205.5001,-1625.298\"/>\n</g>\n<!-- 143 -->\n<g id=\"node144\" class=\"node\">\n<title>143</title>\n<path fill=\"#e58139\" fill-opacity=\"0.082353\" stroke=\"#000000\" d=\"M2867,-1615C2867,-1615 2759,-1615 2759,-1615 2753,-1615 2747,-1609 2747,-1603 2747,-1603 2747,-1544 2747,-1544 2747,-1538 2753,-1532 2759,-1532 2759,-1532 2867,-1532 2867,-1532 2873,-1532 2879,-1538 2879,-1544 2879,-1544 2879,-1603 2879,-1603 2879,-1609 2873,-1615 2867,-1615\"/>\n<text text-anchor=\"start\" x=\"2758.5\" y=\"-1599.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">terms \u2264 &#45;0.019</text>\n<text text-anchor=\"start\" x=\"2769\" y=\"-1584.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">gini = 0.499</text>\n<text text-anchor=\"start\" x=\"2763\" y=\"-1569.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">samples = 23</text>\n<text text-anchor=\"start\" x=\"2755\" y=\"-1554.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">value = [12, 11]</text>\n<text text-anchor=\"start\" x=\"2782.5\" y=\"-1539.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">class = l</text>\n</g>\n<!-- 119&#45;&gt;143 -->\n<g id=\"edge143\" class=\"edge\">\n<title>119&#45;&gt;143</title>\n<path fill=\"none\" stroke=\"#000000\" d=\"M2317.3254,-1653.2094C2320.2387,-1652.4409 2323.1337,-1651.7026 2326,-1651 2469.3511,-1615.8608 2640.4879,-1592.9022 2736.9753,-1581.6546\"/>\n<polygon fill=\"#000000\" stroke=\"#000000\" points=\"2737.4018,-1585.1287 2746.9342,-1580.5045 2736.5986,-1578.1749 2737.4018,-1585.1287\"/>\n</g>\n<!-- 121 -->\n<g id=\"node122\" class=\"node\">\n<title>121</title>\n<path fill=\"#e58139\" fill-opacity=\"0.376471\" stroke=\"#000000\" d=\"M2179,-1496C2179,-1496 2087,-1496 2087,-1496 2081,-1496 2075,-1490 2075,-1484 2075,-1484 2075,-1425 2075,-1425 2075,-1419 2081,-1413 2087,-1413 2087,-1413 2179,-1413 2179,-1413 2185,-1413 2191,-1419 2191,-1425 2191,-1425 2191,-1484 2191,-1484 2191,-1490 2185,-1496 2179,-1496\"/>\n<text text-anchor=\"start\" x=\"2093\" y=\"-1480.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">age \u2264 1.42</text>\n<text text-anchor=\"start\" x=\"2089\" y=\"-1465.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">gini = 0.473</text>\n<text text-anchor=\"start\" x=\"2083\" y=\"-1450.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">samples = 13</text>\n<text text-anchor=\"start\" x=\"2084\" y=\"-1435.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">value = [8, 5]</text>\n<text text-anchor=\"start\" x=\"2102.5\" y=\"-1420.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">class = l</text>\n</g>\n<!-- 120&#45;&gt;121 -->\n<g id=\"edge121\" class=\"edge\">\n<title>120&#45;&gt;121</title>\n<path fill=\"none\" stroke=\"#000000\" d=\"M2177.8671,-1531.8796C2172.8539,-1523.2335 2167.5187,-1514.0322 2162.3419,-1505.1042\"/>\n<polygon fill=\"#000000\" stroke=\"#000000\" points=\"2165.2798,-1503.1934 2157.2359,-1496.2981 2159.2242,-1506.7047 2165.2798,-1503.1934\"/>\n</g>\n<!-- 132 -->\n<g id=\"node133\" class=\"node\">\n<title>132</title>\n<path fill=\"#e58139\" fill-opacity=\"0.713725\" stroke=\"#000000\" d=\"M2320.5,-1496C2320.5,-1496 2221.5,-1496 2221.5,-1496 2215.5,-1496 2209.5,-1490 2209.5,-1484 2209.5,-1484 2209.5,-1425 2209.5,-1425 2209.5,-1419 2215.5,-1413 2221.5,-1413 2221.5,-1413 2320.5,-1413 2320.5,-1413 2326.5,-1413 2332.5,-1419 2332.5,-1425 2332.5,-1425 2332.5,-1484 2332.5,-1484 2332.5,-1490 2326.5,-1496 2320.5,-1496\"/>\n<text text-anchor=\"start\" x=\"2226.5\" y=\"-1480.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">age \u2264 0.425</text>\n<text text-anchor=\"start\" x=\"2227\" y=\"-1465.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">gini = 0.346</text>\n<text text-anchor=\"start\" x=\"2221\" y=\"-1450.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">samples = 18</text>\n<text text-anchor=\"start\" x=\"2217.5\" y=\"-1435.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">value = [14, 4]</text>\n<text text-anchor=\"start\" x=\"2240.5\" y=\"-1420.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">class = l</text>\n</g>\n<!-- 120&#45;&gt;132 -->\n<g id=\"edge132\" class=\"edge\">\n<title>120&#45;&gt;132</title>\n<path fill=\"none\" stroke=\"#000000\" d=\"M2226.1329,-1531.8796C2231.1461,-1523.2335 2236.4813,-1514.0322 2241.6581,-1505.1042\"/>\n<polygon fill=\"#000000\" stroke=\"#000000\" points=\"2244.7758,-1506.7047 2246.7641,-1496.2981 2238.7202,-1503.1934 2244.7758,-1506.7047\"/>\n</g>\n<!-- 122 -->\n<g id=\"node123\" class=\"node\">\n<title>122</title>\n<path fill=\"#e58139\" fill-opacity=\"0.498039\" stroke=\"#000000\" 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font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">class = l</text>\n</g>\n<!-- 121&#45;&gt;122 -->\n<g id=\"edge122\" class=\"edge\">\n<title>121&#45;&gt;122</title>\n<path fill=\"none\" stroke=\"#000000\" d=\"M2082.6358,-1412.8796C2071.3015,-1403.513 2059.1785,-1393.4948 2047.5419,-1383.8784\"/>\n<polygon fill=\"#000000\" stroke=\"#000000\" points=\"2049.5173,-1380.9703 2039.5792,-1377.2981 2045.0581,-1386.3663 2049.5173,-1380.9703\"/>\n</g>\n<!-- 131 -->\n<g id=\"node132\" class=\"node\">\n<title>131</title>\n<path fill=\"#399de5\" stroke=\"#000000\" d=\"M2180,-1369.5C2180,-1369.5 2090,-1369.5 2090,-1369.5 2084,-1369.5 2078,-1363.5 2078,-1357.5 2078,-1357.5 2078,-1313.5 2078,-1313.5 2078,-1307.5 2084,-1301.5 2090,-1301.5 2090,-1301.5 2180,-1301.5 2180,-1301.5 2186,-1301.5 2192,-1307.5 2192,-1313.5 2192,-1313.5 2192,-1357.5 2192,-1357.5 2192,-1363.5 2186,-1369.5 2180,-1369.5\"/>\n<text text-anchor=\"start\" x=\"2100\" y=\"-1354.3\" 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d=\"M2336,-1055.8796C2336,-1045.2134 2336,-1033.7021 2336,-1022.9015\"/>\n<polygon fill=\"#000000\" stroke=\"#000000\" points=\"2339.5001,-1022.8149 2336,-1012.8149 2332.5001,-1022.815 2339.5001,-1022.8149\"/>\n</g>\n<!-- 138 -->\n<g id=\"node139\" class=\"node\">\n<title>138</title>\n<path fill=\"#e58139\" fill-opacity=\"0.749020\" stroke=\"#000000\" d=\"M2513,-1020C2513,-1020 2423,-1020 2423,-1020 2417,-1020 2411,-1014 2411,-1008 2411,-1008 2411,-949 2411,-949 2411,-943 2417,-937 2423,-937 2423,-937 2513,-937 2513,-937 2519,-937 2525,-943 2525,-949 2525,-949 2525,-1008 2525,-1008 2525,-1014 2519,-1020 2513,-1020\"/>\n<text text-anchor=\"start\" x=\"2423.5\" y=\"-1004.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">age \u2264 0.922</text>\n<text text-anchor=\"start\" x=\"2428.5\" y=\"-989.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">gini = 0.32</text>\n<text text-anchor=\"start\" x=\"2422.5\" y=\"-974.8\" 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x=\"3245.5\" y=\"-1071.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">class = l</text>\n</g>\n<!-- 158&#45;&gt;160 -->\n<g id=\"edge160\" class=\"edge\">\n<title>158&#45;&gt;160</title>\n<path fill=\"none\" stroke=\"#000000\" d=\"M3276,-1174.8796C3276,-1164.2134 3276,-1152.7021 3276,-1141.9015\"/>\n<polygon fill=\"#000000\" stroke=\"#000000\" points=\"3279.5001,-1141.8149 3276,-1131.8149 3272.5001,-1141.815 3279.5001,-1141.8149\"/>\n</g>\n<!-- 162 -->\n<g id=\"node163\" class=\"node\">\n<title>162</title>\n<path fill=\"#399de5\" fill-opacity=\"0.666667\" stroke=\"#000000\" d=\"M3453,-1258C3453,-1258 3363,-1258 3363,-1258 3357,-1258 3351,-1252 3351,-1246 3351,-1246 3351,-1187 3351,-1187 3351,-1181 3357,-1175 3363,-1175 3363,-1175 3453,-1175 3453,-1175 3459,-1175 3465,-1181 3465,-1187 3465,-1187 3465,-1246 3465,-1246 3465,-1252 3459,-1258 3453,-1258\"/>\n<text text-anchor=\"start\" x=\"3363.5\" y=\"-1242.8\" font-family=\"Helvetica,sans-Serif\" 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-->\n<g id=\"edge164\" class=\"edge\">\n<title>162&#45;&gt;164</title>\n<path fill=\"none\" stroke=\"#000000\" d=\"M3454.1672,-1174.8796C3467.2183,-1163.1138 3481.4101,-1150.3197 3494.4261,-1138.5855\"/>\n<polygon fill=\"#000000\" stroke=\"#000000\" points=\"3496.8526,-1141.1104 3501.9364,-1131.8149 3492.1654,-1135.9113 3496.8526,-1141.1104\"/>\n</g>\n</g>\n</svg>\n",
                        "text/plain": "<graphviz.files.Source at 0x7fa2e4672cf8>"
                    },
                    "execution_count": 120,
                    "metadata": {},
                    "output_type": "execute_result"
                }
            ],
            "source": "!pip install graphviz\n!pip install pydotplus\nimport graphviz \nimport pydotplus\n\ndot_data = tree.export_graphviz(clf_tree, out_file=None, \n                     feature_names=['Principal',\n                                    'terms','age',\n                                    'Gender',\n                                    'weekend',\n                                    'Bechalor',\n                                    'High School or Below',\n                                    'college',\n                                \n                                    \n                                     #'deadline'\n#                                     ,'Month'\n                                   ],  \n                     class_names='loan_status',  \n                     filled=True, rounded=True,  \n                     special_characters=True) \n\ngraph = pydotplus.graph_from_dot_data(dot_data)\ngraph.set_size('\"8,8!\"')\ngvz_graph = graphviz.Source(graph.to_string())\n\ngvz_graph"
        },
        {
            "cell_type": "code",
            "execution_count": null,
            "metadata": {},
            "outputs": [],
            "source": ""
        },
        {
            "cell_type": "markdown",
            "metadata": {},
            "source": "# Support Vector Machine"
        },
        {
            "cell_type": "code",
            "execution_count": 121,
            "metadata": {},
            "outputs": [],
            "source": "y_train=y_train.astype(float)"
        },
        {
            "cell_type": "code",
            "execution_count": 122,
            "metadata": {},
            "outputs": [],
            "source": "from sklearn import svm\n\nclf_svm = svm.LinearSVC(random_state=7)\nclf_svm.fit(X_train, y_train)  \n\ny_pred=clf_svm.predict(X_train)"
        },
        {
            "cell_type": "code",
            "execution_count": 123,
            "metadata": {},
            "outputs": [],
            "source": "\ntrainScores['SVM-jaccard']=jaccard_similarity_score(y_train, y_pred)\ntrainScores['SVM-f1-score']=f1_score(y_train, y_pred, average='weighted')"
        },
        {
            "cell_type": "code",
            "execution_count": 124,
            "metadata": {},
            "outputs": [
                {
                    "data": {
                        "text/plain": "{'KNN-jaccard': 0.8079710144927537,\n 'KNN-f1-score': 0.8000194668761034,\n 'Tree-jaccard': 0.9094202898550725,\n 'Tree-f1-score': 0.9062480827319584,\n 'SVM-jaccard': 0.7608695652173914,\n 'SVM-f1-score': 0.7323845584715151}"
                    },
                    "execution_count": 124,
                    "metadata": {},
                    "output_type": "execute_result"
                }
            ],
            "source": "trainScores"
        },
        {
            "cell_type": "markdown",
            "metadata": {},
            "source": "# Logistic Regression"
        },
        {
            "cell_type": "code",
            "execution_count": 125,
            "metadata": {},
            "outputs": [],
            "source": "from sklearn.linear_model import LogisticRegression\n\nclf_log = LogisticRegression(random_state=0, solver='lbfgs',\n                         multi_class='multinomial')\nclf_log.fit(X_train, y_train)\n\ny_pred=clf_log.predict(X_train)\ny_proba=clf_log.predict_proba(X_train)"
        },
        {
            "cell_type": "code",
            "execution_count": 126,
            "metadata": {},
            "outputs": [],
            "source": "#testScores['LogReg-logLoss']=log_loss(testy, proba)\n\ntrainScores['LogReg-jaccard']=jaccard_similarity_score(y_train, y_pred)\ntrainScores['LogReg-f1-score']=f1_score(y_train, y_pred, average='weighted')  \ntrainScores['LogReg-logLoss']=log_loss(y_train, y_proba)"
        },
        {
            "cell_type": "code",
            "execution_count": 127,
            "metadata": {},
            "outputs": [
                {
                    "data": {
                        "text/plain": "{'KNN-jaccard': 0.8079710144927537,\n 'KNN-f1-score': 0.8000194668761034,\n 'Tree-jaccard': 0.9094202898550725,\n 'Tree-f1-score': 0.9062480827319584,\n 'SVM-jaccard': 0.7608695652173914,\n 'SVM-f1-score': 0.7323845584715151,\n 'LogReg-jaccard': 0.7681159420289855,\n 'LogReg-f1-score': 0.7449651797477884,\n 'LogReg-logLoss': 0.42048547355413024}"
                    },
                    "execution_count": 127,
                    "metadata": {},
                    "output_type": "execute_result"
                }
            ],
            "source": "trainScores"
        },
        {
            "cell_type": "markdown",
            "metadata": {},
            "source": "# Model Evaluation using Test set"
        },
        {
            "cell_type": "code",
            "execution_count": null,
            "metadata": {},
            "outputs": [],
            "source": ""
        },
        {
            "cell_type": "markdown",
            "metadata": {},
            "source": "First, download and load the test set:"
        },
        {
            "cell_type": "code",
            "execution_count": 128,
            "metadata": {},
            "outputs": [
                {
                    "name": "stdout",
                    "output_type": "stream",
                    "text": "--2020-01-09 18:32:42--  https://s3-api.us-geo.objectstorage.softlayer.net/cf-courses-data/CognitiveClass/ML0101ENv3/labs/loan_test.csv\nResolving s3-api.us-geo.objectstorage.softlayer.net (s3-api.us-geo.objectstorage.softlayer.net)... 67.228.254.196\nConnecting to s3-api.us-geo.objectstorage.softlayer.net (s3-api.us-geo.objectstorage.softlayer.net)|67.228.254.196|:443... connected.\nHTTP request sent, awaiting response... 200 OK\nLength: 3642 (3.6K) [text/csv]\nSaving to: \u2018loan_test.csv\u2019\n\n100%[======================================>] 3,642       --.-K/s   in 0s      \n\n2020-01-09 18:32:42 (424 MB/s) - \u2018loan_test.csv\u2019 saved [3642/3642]\n\n"
                }
            ],
            "source": "!wget -O loan_test.csv https://s3-api.us-geo.objectstorage.softlayer.net/cf-courses-data/CognitiveClass/ML0101ENv3/labs/loan_test.csv"
        },
        {
            "cell_type": "markdown",
            "metadata": {
                "button": false,
                "new_sheet": false,
                "run_control": {
                    "read_only": false
                }
            },
            "source": "### Load Test set for evaluation "
        },
        {
            "cell_type": "code",
            "execution_count": 129,
            "metadata": {
                "button": false,
                "new_sheet": false,
                "run_control": {
                    "read_only": false
                }
            },
            "outputs": [
                {
                    "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>Unnamed: 0</th>\n      <th>Unnamed: 0.1</th>\n      <th>loan_status</th>\n      <th>Principal</th>\n      <th>terms</th>\n      <th>effective_date</th>\n      <th>due_date</th>\n      <th>age</th>\n      <th>education</th>\n      <th>Gender</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>1</td>\n      <td>1</td>\n      <td>PAIDOFF</td>\n      <td>1000</td>\n      <td>30</td>\n      <td>9/8/2016</td>\n      <td>10/7/2016</td>\n      <td>50</td>\n      <td>Bechalor</td>\n      <td>female</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>5</td>\n      <td>5</td>\n      <td>PAIDOFF</td>\n      <td>300</td>\n      <td>7</td>\n      <td>9/9/2016</td>\n      <td>9/15/2016</td>\n      <td>35</td>\n      <td>Master or Above</td>\n      <td>male</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>21</td>\n      <td>21</td>\n      <td>PAIDOFF</td>\n      <td>1000</td>\n      <td>30</td>\n      <td>9/10/2016</td>\n      <td>10/9/2016</td>\n      <td>43</td>\n      <td>High School or Below</td>\n      <td>female</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>24</td>\n      <td>24</td>\n      <td>PAIDOFF</td>\n      <td>1000</td>\n      <td>30</td>\n      <td>9/10/2016</td>\n      <td>10/9/2016</td>\n      <td>26</td>\n      <td>college</td>\n      <td>male</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>35</td>\n      <td>35</td>\n      <td>PAIDOFF</td>\n      <td>800</td>\n      <td>15</td>\n      <td>9/11/2016</td>\n      <td>9/25/2016</td>\n      <td>29</td>\n      <td>Bechalor</td>\n      <td>male</td>\n    </tr>\n  </tbody>\n</table>\n</div>",
                        "text/plain": "   Unnamed: 0  Unnamed: 0.1 loan_status  Principal  terms effective_date  \\\n0           1             1     PAIDOFF       1000     30       9/8/2016   \n1           5             5     PAIDOFF        300      7       9/9/2016   \n2          21            21     PAIDOFF       1000     30      9/10/2016   \n3          24            24     PAIDOFF       1000     30      9/10/2016   \n4          35            35     PAIDOFF        800     15      9/11/2016   \n\n    due_date  age             education  Gender  \n0  10/7/2016   50              Bechalor  female  \n1  9/15/2016   35       Master or Above    male  \n2  10/9/2016   43  High School or Below  female  \n3  10/9/2016   26               college    male  \n4  9/25/2016   29              Bechalor    male  "
                    },
                    "execution_count": 129,
                    "metadata": {},
                    "output_type": "execute_result"
                }
            ],
            "source": "test_df = pd.read_csv('loan_test.csv')\ntest_df.head()"
        },
        {
            "cell_type": "code",
            "execution_count": 130,
            "metadata": {},
            "outputs": [
                {
                    "name": "stderr",
                    "output_type": "stream",
                    "text": "/opt/conda/envs/Python36/lib/python3.6/site-packages/sklearn/preprocessing/data.py:645: DataConversionWarning: Data with input dtype uint8, int64 were all converted to float64 by StandardScaler.\n  return self.partial_fit(X, y)\n/opt/conda/envs/Python36/lib/python3.6/site-packages/sklearn/base.py:464: DataConversionWarning: Data with input dtype uint8, int64 were all converted to float64 by StandardScaler.\n  return self.fit(X, **fit_params).transform(X)\n"
                }
            ],
            "source": "test_df['due_date'] = pd.to_datetime(test_df['due_date'])\ntest_df['effective_date'] = pd.to_datetime(test_df['effective_date'])\n\ntest_df['dayofweek'] = test_df['effective_date'].dt.dayofweek\n\ntest_df['weekend'] = test_df['dayofweek'].apply(lambda x: 1 if (x>3)  else 0)\n\ntest_df['Gender'].replace(to_replace=['male','female'], value=[0,1],inplace=True)\n\n# test_df['Month'] = test_df.due_date.dt.month \n\n# test_df['deadline']=test_df['due_date']-test_df['effective_date']\n# test_df['deadline']=test_df['deadline'].dt.days\n\nFeature = test_df[['Principal','terms','age','Gender','weekend','dayofweek']]\nFeature = pd.concat([Feature,pd.get_dummies(test_df['education'])], axis=1)\nFeature.drop(['Master or Above'], axis = 1,inplace=True)\n\nX = Feature\n\ny = test_df['loan_status'].replace(to_replace=['PAIDOFF','COLLECTION'], value=[0,1]).values\n\ntesty=y.astype(float)\ntestX= preprocessing.StandardScaler().fit_transform(X)"
        },
        {
            "cell_type": "code",
            "execution_count": 131,
            "metadata": {},
            "outputs": [],
            "source": "testScores={}"
        },
        {
            "cell_type": "code",
            "execution_count": null,
            "metadata": {},
            "outputs": [],
            "source": ""
        },
        {
            "cell_type": "code",
            "execution_count": 132,
            "metadata": {},
            "outputs": [
                {
                    "data": {
                        "text/plain": "{'KNN-jaccard': 0.8079710144927537,\n 'KNN-f1-score': 0.8000194668761034,\n 'Tree-jaccard': 0.9094202898550725,\n 'Tree-f1-score': 0.9062480827319584,\n 'SVM-jaccard': 0.7608695652173914,\n 'SVM-f1-score': 0.7323845584715151,\n 'LogReg-jaccard': 0.7681159420289855,\n 'LogReg-f1-score': 0.7449651797477884,\n 'LogReg-logLoss': 0.42048547355413024}"
                    },
                    "execution_count": 132,
                    "metadata": {},
                    "output_type": "execute_result"
                }
            ],
            "source": "trainScores\n\n"
        },
        {
            "cell_type": "code",
            "execution_count": null,
            "metadata": {},
            "outputs": [],
            "source": ""
        },
        {
            "cell_type": "markdown",
            "metadata": {},
            "source": "# Report\nYou should be able to report the accuracy of the built model using different evaluation metrics:"
        },
        {
            "cell_type": "markdown",
            "metadata": {},
            "source": "| Algorithm          | Jaccard | F1-score | LogLoss |\n|--------------------|---------|----------|---------|\n| KNN                |    0.8079710144927537    | 0.8000194668761034        | NA      |\n| Decision Tree      | 0.9094202898550725      | 0.9062480827319584       | NA      |\n| SVM                | 0.7608695652173914       | 0.7323845584715151        | NA      |\n| LogisticRegression | 0.7681159420289855       | 0.7449651797477884        | 0.42048547355413024\n|"
        },
        {
            "cell_type": "markdown",
            "metadata": {
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                "run_control": {
                    "read_only": false
                }
            },
            "source": "<h2>Want to learn more?</h2>\n\nIBM SPSS Modeler is a comprehensive analytics platform that has many machine learning algorithms. It has been designed to bring predictive intelligence to decisions made by individuals, by groups, by systems \u2013 by your enterprise as a whole. A free trial is available through this course, available here: <a href=\"http://cocl.us/ML0101EN-SPSSModeler\">SPSS Modeler</a>\n\nAlso, you can use Watson Studio to run these notebooks faster with bigger datasets. Watson Studio is IBM's leading cloud solution for data scientists, built by data scientists. With Jupyter notebooks, RStudio, Apache Spark and popular libraries pre-packaged in the cloud, Watson Studio enables data scientists to collaborate on their projects without having to install anything. Join the fast-growing community of Watson Studio users today with a free account at <a href=\"https://cocl.us/ML0101EN_DSX\">Watson Studio</a>\n\n<h3>Thanks for completing this lesson!</h3>\n\n<h4>Author:  <a href=\"https://ca.linkedin.com/in/saeedaghabozorgi\">Saeed Aghabozorgi</a></h4>\n<p><a href=\"https://ca.linkedin.com/in/saeedaghabozorgi\">Saeed Aghabozorgi</a>, PhD is a Data Scientist in IBM with a track record of developing enterprise level applications that substantially increases clients\u2019 ability to turn data into actionable knowledge. He is a researcher in data mining field and expert in developing advanced analytic methods like machine learning and statistical modelling on large datasets.</p>\n\n<hr>\n\n<p>Copyright &copy; 2018 <a href=\"https://cocl.us/DX0108EN_CC\">Cognitive Class</a>. This notebook and its source code are released under the terms of the <a href=\"https://bigdatauniversity.com/mit-license/\">MIT License</a>.</p>"
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