Random_Forest.ipynb

{
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/yadgire7/Machine-Learning/blob/master/Random_Forest.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "fb3b8845",
      "metadata": {
        "id": "fb3b8845"
      },
      "source": [
        "Name: Saurabh Arun Yadgire USC ID: 8065527198 Github ID:yadgire7"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "dfe1a6a6",
      "metadata": {
        "id": "dfe1a6a6"
      },
      "source": [
        "Resources:\n",
        "1. https://www.analyticsvidhya.com/blog/2021/10/handling-missing-value/\n",
        "2. https://www.geeksforgeeks.org/random-forest-classifier-using-scikit-learn/\n",
        "3. https://scikit-learn.org/stable/modules/generated/sklearn.metrics.confusion_matrix.html\n",
        "4. https://scikit-learn.org/stable/modules/generated/sklearn.metrics.roc_curve.html\n",
        "5. https://koalatea.io/sklearn-decision-random-forest-imbalanced-classes/\n",
        "6. https://stackoverflow.com/questions/20082674/unbalanced-classification-using-randomforestclassifier-in-sklearn\n",
        "7. https://machinelearningmastery.com/smote-oversampling-for-imbalanced-classification/\n",
        "8. https://machinelearningmastery.com/xgboost-for-regression/\n",
        "https://scikit-learn.org/stable/modules/generated/sklearn.model_selection.KFold.html\n",
        "9. https://stackoverflow.com/questions/67080149/xgboost-error-when-categorical-type-is-supplied-dmatrix-parameter-enable-cat\n",
        "10. https://xgboost.readthedocs.io/en/stable/python/python_api.html#xgboost.XGBClassifier\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "5ae1323b",
      "metadata": {
        "id": "5ae1323b"
      },
      "outputs": [],
      "source": [
        "# pip install imbalanced-learn"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Import libraries"
      ],
      "metadata": {
        "id": "Jabs9FvLKVcz"
      },
      "id": "Jabs9FvLKVcz"
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "6e6fd9e9",
      "metadata": {
        "id": "6e6fd9e9"
      },
      "outputs": [],
      "source": [
        "import math\n",
        "import pandas as pd\n",
        "import numpy as np\n",
        "import matplotlib.pyplot as plt\n",
        "import seaborn as sbn\n",
        "from sklearn import tree,metrics\n",
        "from sklearn.model_selection import cross_val_score,KFold,RepeatedKFold,GridSearchCV\n",
        "from sklearn.ensemble import RandomForestClassifier\n",
        "from sklearn.metrics import confusion_matrix,ConfusionMatrixDisplay,plot_roc_curve,roc_curve,auc\n",
        "from sklearn.linear_model import LassoCV\n",
        "import regex\n",
        "from imblearn.over_sampling import SMOTE\n",
        "from xgboost import XGBClassifier,XGBRegressor\n",
        "import warnings\n"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Read file"
      ],
      "metadata": {
        "id": "JuYnlqzFKZOJ"
      },
      "id": "JuYnlqzFKZOJ"
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "12073f2d",
      "metadata": {
        "id": "12073f2d",
        "outputId": "93fd7c52-d49d-4487-9066-b0b8e3e835e0"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Q.1.a Completed\n",
            "\n"
          ]
        },
        {
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            ],
            "text/plain": [
              "      class  aa_000 ab_000      ac_000 ad_000 ae_000 af_000 ag_000 ag_001  \\\n",
              "0       neg      60      0          20     12      0      0      0      0   \n",
              "1       neg      82      0          68     40      0      0      0      0   \n",
              "2       neg   66002      2         212    112      0      0      0      0   \n",
              "3       neg   59816     na        1010    936      0      0      0      0   \n",
              "4       neg    1814     na         156    140      0      0      0      0   \n",
              "...     ...     ...    ...         ...    ...    ...    ...    ...    ...   \n",
              "15995   neg   81852     na  2130706432    892      0      0      0      0   \n",
              "15996   neg      18      0          52     46      8     26      0      0   \n",
              "15997   neg   79636     na        1670   1518      0      0      0      0   \n",
              "15998   neg     110     na          36     32      0      0      0      0   \n",
              "15999   neg       8      0           6      4      2      2      0      0   \n",
              "\n",
              "      ag_002  ...  ee_002  ee_003  ee_004  ee_005   ee_006  ee_007  ee_008  \\\n",
              "0          0  ...    1098     138     412     654       78      88       0   \n",
              "1          0  ...    1068     276    1620     116       86     462       0   \n",
              "2          0  ...  495076  380368  440134  269556  1315022  153680     516   \n",
              "3          0  ...  540820  243270  483302  485332   431376  210074  281662   \n",
              "4          0  ...    7646    4144   18466   49782     3176     482      76   \n",
              "...      ...  ...     ...     ...     ...     ...      ...     ...     ...   \n",
              "15995      0  ...  632658  273242  510354  373918   349840  317840  960024   \n",
              "15996      0  ...     266      44      46      14        2       0       0   \n",
              "15997      0  ...  806832  449962  778826  581558   375498  222866  358934   \n",
              "15998      0  ...     588     210     180     544     1004    1338      74   \n",
              "15999      0  ...      46      10      48      14       42      46       0   \n",
              "\n",
              "      ee_009 ef_000 eg_000  \n",
              "0          0      0      0  \n",
              "1          0      0      0  \n",
              "2          0      0      0  \n",
              "3       3232      0      0  \n",
              "4          0      0      0  \n",
              "...      ...    ...    ...  \n",
              "15995  25566      0      0  \n",
              "15996      0      0      0  \n",
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              "15998      0      0      0  \n",
              "15999      0      0      0  \n",
              "\n",
              "[16000 rows x 171 columns]"
            ]
          },
          "execution_count": 3,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "print('Q.1.a Completed\\n')\n",
        "train = pd.read_csv(r\"../Data/aps_train.csv\")\n",
        "test = pd.read_csv(r\"../Data/aps_test.csv\")\n",
        "test\n",
        "# train"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "a92ecd6d",
      "metadata": {
        "id": "a92ecd6d",
        "outputId": "99ee0362-1a3c-4c15-b154-067df22a9e75"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Q.1.b.i\n",
            "\n"
          ]
        }
      ],
      "source": [
        "print('Q.1.b.i\\n')\n"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "c97ff048",
      "metadata": {
        "id": "c97ff048"
      },
      "source": [
        "There are 2 ways of handling missing values:\n",
        "1. Deleting the missing data\n",
        "2. Imputing the missing data\n",
        "Deleting the missing data would reduce the size of our training data. If the proportion of missing data to available data is more, then this technique cannot(should) not be used\n",
        "\n",
        "2. Imputing the missing data:\n",
        "There are various techniques of imputing data:\n",
        "    - Replacing with arbitrary value (zero):\n",
        "    - Replacing with mean\n",
        "    - Replacing with mode\n",
        "    - Replacing with median\n",
        "    - Forward fill (replacing with previous value) : This is most commonly used in time-series data\n",
        "    - Backward fill (replacing with next value)\n",
        "    - Interpolation\n",
        "****************************\n",
        "Forward Fill and then replacig with zero has been used in this homework to handle missing data('na')."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "70314567",
      "metadata": {
        "id": "70314567",
        "outputId": "01cba583-df31-4042-a5cb-095dbdb1bf8a"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Index(['class', 'aa_000', 'ab_000', 'ac_000', 'ad_000', 'ae_000', 'af_000',\n",
            "       'ag_000', 'ag_001', 'ag_002',\n",
            "       ...\n",
            "       'ee_002', 'ee_003', 'ee_004', 'ee_005', 'ee_006', 'ee_007', 'ee_008',\n",
            "       'ee_009', 'ef_000', 'eg_000'],\n",
            "      dtype='object', length=171)\n",
            "Index(['aa_000', 'ab_000', 'ac_000', 'ad_000', 'ae_000', 'af_000', 'ag_000',\n",
            "       'ag_001', 'ag_002', 'ag_003',\n",
            "       ...\n",
            "       'ee_002', 'ee_003', 'ee_004', 'ee_005', 'ee_006', 'ee_007', 'ee_008',\n",
            "       'ee_009', 'ef_000', 'eg_000'],\n",
            "      dtype='object', length=170)\n"
          ]
        }
      ],
      "source": [
        "cols = train.columns\n",
        "print(cols)\n",
        "cols = cols[1:]\n",
        "print(cols)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "c12b6bb7",
      "metadata": {
        "id": "c12b6bb7",
        "outputId": "280d12e4-7e40-43dd-f50a-9716f727989f"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "      class  aa_000 ab_000      ac_000 ad_000 ae_000 af_000 ag_000 ag_001  \\\n",
            "0       neg      60      0          20     12      0      0      0      0   \n",
            "1       neg      82      0          68     40      0      0      0      0   \n",
            "2       neg   66002      2         212    112      0      0      0      0   \n",
            "3       neg   59816    NaN        1010    936      0      0      0      0   \n",
            "4       neg    1814    NaN         156    140      0      0      0      0   \n",
            "...     ...     ...    ...         ...    ...    ...    ...    ...    ...   \n",
            "15995   neg   81852    NaN  2130706432    892      0      0      0      0   \n",
            "15996   neg      18      0          52     46      8     26      0      0   \n",
            "15997   neg   79636    NaN        1670   1518      0      0      0      0   \n",
            "15998   neg     110    NaN          36     32      0      0      0      0   \n",
            "15999   neg       8      0           6      4      2      2      0      0   \n",
            "\n",
            "      ag_002  ...  ee_002  ee_003  ee_004  ee_005   ee_006  ee_007  ee_008  \\\n",
            "0          0  ...    1098     138     412     654       78      88       0   \n",
            "1          0  ...    1068     276    1620     116       86     462       0   \n",
            "2          0  ...  495076  380368  440134  269556  1315022  153680     516   \n",
            "3          0  ...  540820  243270  483302  485332   431376  210074  281662   \n",
            "4          0  ...    7646    4144   18466   49782     3176     482      76   \n",
            "...      ...  ...     ...     ...     ...     ...      ...     ...     ...   \n",
            "15995      0  ...  632658  273242  510354  373918   349840  317840  960024   \n",
            "15996      0  ...     266      44      46      14        2       0       0   \n",
            "15997      0  ...  806832  449962  778826  581558   375498  222866  358934   \n",
            "15998      0  ...     588     210     180     544     1004    1338      74   \n",
            "15999      0  ...      46      10      48      14       42      46       0   \n",
            "\n",
            "      ee_009 ef_000 eg_000  \n",
            "0          0      0      0  \n",
            "1          0      0      0  \n",
            "2          0      0      0  \n",
            "3       3232      0      0  \n",
            "4          0      0      0  \n",
            "...      ...    ...    ...  \n",
            "15995  25566      0      0  \n",
            "15996      0      0      0  \n",
            "15997  19548      0      0  \n",
            "15998      0      0      0  \n",
            "15999      0      0      0  \n",
            "\n",
            "[16000 rows x 171 columns]\n"
          ]
        }
      ],
      "source": [
        "train=train.replace('na',np.nan)\n",
        "test=test.replace('na',np.nan)\n",
        "# print(train)\n",
        "print(test)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "e3f8a070",
      "metadata": {
        "id": "e3f8a070"
      },
      "outputs": [],
      "source": [
        "train=train.fillna(method='ffill')   # using forward fill initially\n",
        "train=train.fillna(0)                # and then filling the remaining NaN with O\n",
        "test=test.fillna(method='ffill')   # using forward fill initially\n",
        "test=test.fillna(0)                # and then filling the remaining NaN with O"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "0e1fa84f",
      "metadata": {
        "id": "0e1fa84f",
        "outputId": "abc9d1ff-6bd2-4110-defe-5521e1626fc3"
      },
      "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>class</th>\n",
              "      <th>aa_000</th>\n",
              "      <th>ab_000</th>\n",
              "      <th>ac_000</th>\n",
              "      <th>ad_000</th>\n",
              "      <th>ae_000</th>\n",
              "      <th>af_000</th>\n",
              "      <th>ag_000</th>\n",
              "      <th>ag_001</th>\n",
              "      <th>ag_002</th>\n",
              "      <th>...</th>\n",
              "      <th>ee_002</th>\n",
              "      <th>ee_003</th>\n",
              "      <th>ee_004</th>\n",
              "      <th>ee_005</th>\n",
              "      <th>ee_006</th>\n",
              "      <th>ee_007</th>\n",
              "      <th>ee_008</th>\n",
              "      <th>ee_009</th>\n",
              "      <th>ef_000</th>\n",
              "      <th>eg_000</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>neg</td>\n",
              "      <td>60</td>\n",
              "      <td>0</td>\n",
              "      <td>20</td>\n",
              "      <td>12</td>\n",
              "      <td>0</td>\n",
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              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>1098</td>\n",
              "      <td>138</td>\n",
              "      <td>412</td>\n",
              "      <td>654</td>\n",
              "      <td>78</td>\n",
              "      <td>88</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>neg</td>\n",
              "      <td>82</td>\n",
              "      <td>0</td>\n",
              "      <td>68</td>\n",
              "      <td>40</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>1068</td>\n",
              "      <td>276</td>\n",
              "      <td>1620</td>\n",
              "      <td>116</td>\n",
              "      <td>86</td>\n",
              "      <td>462</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>neg</td>\n",
              "      <td>66002</td>\n",
              "      <td>2</td>\n",
              "      <td>212</td>\n",
              "      <td>112</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>495076</td>\n",
              "      <td>380368</td>\n",
              "      <td>440134</td>\n",
              "      <td>269556</td>\n",
              "      <td>1315022</td>\n",
              "      <td>153680</td>\n",
              "      <td>516</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>neg</td>\n",
              "      <td>59816</td>\n",
              "      <td>2</td>\n",
              "      <td>1010</td>\n",
              "      <td>936</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>540820</td>\n",
              "      <td>243270</td>\n",
              "      <td>483302</td>\n",
              "      <td>485332</td>\n",
              "      <td>431376</td>\n",
              "      <td>210074</td>\n",
              "      <td>281662</td>\n",
              "      <td>3232</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>neg</td>\n",
              "      <td>1814</td>\n",
              "      <td>2</td>\n",
              "      <td>156</td>\n",
              "      <td>140</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>7646</td>\n",
              "      <td>4144</td>\n",
              "      <td>18466</td>\n",
              "      <td>49782</td>\n",
              "      <td>3176</td>\n",
              "      <td>482</td>\n",
              "      <td>76</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>15995</th>\n",
              "      <td>neg</td>\n",
              "      <td>81852</td>\n",
              "      <td>0</td>\n",
              "      <td>2130706432</td>\n",
              "      <td>892</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>632658</td>\n",
              "      <td>273242</td>\n",
              "      <td>510354</td>\n",
              "      <td>373918</td>\n",
              "      <td>349840</td>\n",
              "      <td>317840</td>\n",
              "      <td>960024</td>\n",
              "      <td>25566</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>15996</th>\n",
              "      <td>neg</td>\n",
              "      <td>18</td>\n",
              "      <td>0</td>\n",
              "      <td>52</td>\n",
              "      <td>46</td>\n",
              "      <td>8</td>\n",
              "      <td>26</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>266</td>\n",
              "      <td>44</td>\n",
              "      <td>46</td>\n",
              "      <td>14</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>15997</th>\n",
              "      <td>neg</td>\n",
              "      <td>79636</td>\n",
              "      <td>0</td>\n",
              "      <td>1670</td>\n",
              "      <td>1518</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>806832</td>\n",
              "      <td>449962</td>\n",
              "      <td>778826</td>\n",
              "      <td>581558</td>\n",
              "      <td>375498</td>\n",
              "      <td>222866</td>\n",
              "      <td>358934</td>\n",
              "      <td>19548</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>15998</th>\n",
              "      <td>neg</td>\n",
              "      <td>110</td>\n",
              "      <td>0</td>\n",
              "      <td>36</td>\n",
              "      <td>32</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>588</td>\n",
              "      <td>210</td>\n",
              "      <td>180</td>\n",
              "      <td>544</td>\n",
              "      <td>1004</td>\n",
              "      <td>1338</td>\n",
              "      <td>74</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>15999</th>\n",
              "      <td>neg</td>\n",
              "      <td>8</td>\n",
              "      <td>0</td>\n",
              "      <td>6</td>\n",
              "      <td>4</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>46</td>\n",
              "      <td>10</td>\n",
              "      <td>48</td>\n",
              "      <td>14</td>\n",
              "      <td>42</td>\n",
              "      <td>46</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>16000 rows × 171 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "      class  aa_000 ab_000      ac_000 ad_000 ae_000 af_000 ag_000 ag_001  \\\n",
              "0       neg      60      0          20     12      0      0      0      0   \n",
              "1       neg      82      0          68     40      0      0      0      0   \n",
              "2       neg   66002      2         212    112      0      0      0      0   \n",
              "3       neg   59816      2        1010    936      0      0      0      0   \n",
              "4       neg    1814      2         156    140      0      0      0      0   \n",
              "...     ...     ...    ...         ...    ...    ...    ...    ...    ...   \n",
              "15995   neg   81852      0  2130706432    892      0      0      0      0   \n",
              "15996   neg      18      0          52     46      8     26      0      0   \n",
              "15997   neg   79636      0        1670   1518      0      0      0      0   \n",
              "15998   neg     110      0          36     32      0      0      0      0   \n",
              "15999   neg       8      0           6      4      2      2      0      0   \n",
              "\n",
              "      ag_002  ...  ee_002  ee_003  ee_004  ee_005   ee_006  ee_007  ee_008  \\\n",
              "0          0  ...    1098     138     412     654       78      88       0   \n",
              "1          0  ...    1068     276    1620     116       86     462       0   \n",
              "2          0  ...  495076  380368  440134  269556  1315022  153680     516   \n",
              "3          0  ...  540820  243270  483302  485332   431376  210074  281662   \n",
              "4          0  ...    7646    4144   18466   49782     3176     482      76   \n",
              "...      ...  ...     ...     ...     ...     ...      ...     ...     ...   \n",
              "15995      0  ...  632658  273242  510354  373918   349840  317840  960024   \n",
              "15996      0  ...     266      44      46      14        2       0       0   \n",
              "15997      0  ...  806832  449962  778826  581558   375498  222866  358934   \n",
              "15998      0  ...     588     210     180     544     1004    1338      74   \n",
              "15999      0  ...      46      10      48      14       42      46       0   \n",
              "\n",
              "      ee_009 ef_000 eg_000  \n",
              "0          0      0      0  \n",
              "1          0      0      0  \n",
              "2          0      0      0  \n",
              "3       3232      0      0  \n",
              "4          0      0      0  \n",
              "...      ...    ...    ...  \n",
              "15995  25566      0      0  \n",
              "15996      0      0      0  \n",
              "15997  19548      0      0  \n",
              "15998      0      0      0  \n",
              "15999      0      0      0  \n",
              "\n",
              "[16000 rows x 171 columns]"
            ]
          },
          "execution_count": 8,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "# train\n",
        "test"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "00b6b46c",
      "metadata": {
        "id": "00b6b46c"
      },
      "outputs": [],
      "source": [
        "for col in cols:\n",
        "    train[col]=(train[col]).astype(float)\n",
        ""
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "4ffabaab",
      "metadata": {
        "id": "4ffabaab",
        "outputId": "0c0ed172-ed2d-4ed8-b6ef-a2745af176a3"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Q.1.b.ii\n",
            "\n",
            "aa_000      2.450938\n",
            "ab_000      4.255651\n",
            "ac_000      2.228866\n",
            "ad_000    244.196147\n",
            "ae_000     24.056913\n",
            "             ...    \n",
            "ee_007      4.986778\n",
            "ee_008      3.238764\n",
            "ee_009      5.653155\n",
            "ef_000     49.104779\n",
            "eg_000     42.247730\n",
            "Length: 170, dtype: float64\n"
          ]
        }
      ],
      "source": [
        "print('Q.1.b.ii\\n')\n",
        "coef_var = train.std()/train.mean()\n",
        "print(coef_var)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "d5aaec7a",
      "metadata": {
        "id": "d5aaec7a",
        "outputId": "a7e66d8b-f4e8-430c-c8e0-56c50a46ae50"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Q.1.b.iii\n",
            "\n"
          ]
        },
        {
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 1440x1440 with 2 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          },
          "output_type": "display_data"
        }
      ],
      "source": [
        "print('Q.1.b.iii\\n')\n",
        "fig = plt.figure(figsize=(20,20))\n",
        "plt.matshow(train.corr(),fignum=fig.number)\n",
        "plt.xticks(range(len(cols)),cols,fontsize=5,rotation=60)\n",
        "plt.yticks(range(len(cols)),cols,fontsize=5,rotation=0)\n",
        "colors= plt.colorbar()\n",
        "plt.show()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "add4015e",
      "metadata": {
        "id": "add4015e",
        "outputId": "2392898a-2c30-4144-c461-97229f177839"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "\n",
            "    feature          CV\n",
            "0    cf_000  244.870175\n",
            "1    co_000  244.367926\n",
            "2    ad_000  244.196147\n",
            "3    cs_009  237.607548\n",
            "4    dh_000  117.914950\n",
            "..      ...         ...\n",
            "165  bk_000    0.926899\n",
            "166  bq_000    0.916072\n",
            "167  cb_000    0.910623\n",
            "168  br_000    0.900713\n",
            "169  cd_000    0.000000\n",
            "\n",
            "[170 rows x 2 columns]\n"
          ]
        }
      ],
      "source": [
        "print('')\n",
        "df = pd.DataFrame(coef_var)\n",
        "df = df.reset_index()\n",
        "df = df.rename(columns={'index':'feature',0:'CV'})\n",
        "df = df.sort_values(by=\"CV\",ascending=False).reset_index(drop=True)\n",
        "print(df)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "06a50902",
      "metadata": {
        "id": "06a50902",
        "outputId": "6f1b4604-079c-465d-b355-a05ca583a0eb"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Q.1.b.iv\n",
            "\n"
          ]
        }
      ],
      "source": [
        "print('Q.1.b.iv\\n')\n",
        "highest_cv = int(170**0.5)\n",
        "df = df.loc[:highest_cv-1,:]\n",
        "temp_cols = df['feature'].values"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "605f1c70",
      "metadata": {
        "id": "605f1c70",
        "outputId": "d4329933-36db-424e-a0f6-097fab6bf3aa"
      },
      "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>cf_000</th>\n",
              "      <th>co_000</th>\n",
              "      <th>ad_000</th>\n",
              "      <th>cs_009</th>\n",
              "      <th>dh_000</th>\n",
              "      <th>dj_000</th>\n",
              "      <th>ag_000</th>\n",
              "      <th>as_000</th>\n",
              "      <th>ay_009</th>\n",
              "      <th>ak_000</th>\n",
              "      <th>az_009</th>\n",
              "      <th>ch_000</th>\n",
              "      <th>au_000</th>\n",
              "      <th>class</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>2.0</td>\n",
              "      <td>220.0</td>\n",
              "      <td>280.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>neg</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>2.0</td>\n",
              "      <td>220.0</td>\n",
              "      <td>280.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>neg</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>100.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>neg</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>2.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>66.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>neg</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>0.0</td>\n",
              "      <td>202.0</td>\n",
              "      <td>458.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>neg</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>59995</th>\n",
              "      <td>0.0</td>\n",
              "      <td>224.0</td>\n",
              "      <td>186.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>neg</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>59996</th>\n",
              "      <td>2.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>224.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>neg</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>59997</th>\n",
              "      <td>2.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>18.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>neg</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>59998</th>\n",
              "      <td>2.0</td>\n",
              "      <td>580.0</td>\n",
              "      <td>494.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>190.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>neg</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>59999</th>\n",
              "      <td>0.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>628.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>neg</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>60000 rows × 14 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "       cf_000  co_000  ad_000  cs_009  dh_000  dj_000  ag_000  as_000  ay_009  \\\n",
              "0         2.0   220.0   280.0     0.0     0.0     0.0     0.0     0.0     0.0   \n",
              "1         2.0   220.0   280.0     0.0     0.0     0.0     0.0     0.0     0.0   \n",
              "2         0.0     0.0   100.0     0.0     0.0     0.0     0.0     0.0     0.0   \n",
              "3         2.0     2.0    66.0     0.0     0.0     0.0     0.0     0.0     0.0   \n",
              "4         0.0   202.0   458.0     0.0     0.0     0.0     0.0     0.0     0.0   \n",
              "...       ...     ...     ...     ...     ...     ...     ...     ...     ...   \n",
              "59995     0.0   224.0   186.0     0.0     0.0     0.0     0.0     0.0     0.0   \n",
              "59996     2.0     0.0   224.0     0.0     0.0     0.0     0.0     0.0     0.0   \n",
              "59997     2.0     0.0    18.0     0.0     0.0     0.0     0.0     0.0     0.0   \n",
              "59998     2.0   580.0   494.0     0.0   190.0     0.0     0.0     0.0     0.0   \n",
              "59999     0.0     6.0   628.0     0.0     0.0     0.0     0.0     0.0     0.0   \n",
              "\n",
              "       ak_000  az_009  ch_000  au_000 class  \n",
              "0         0.0     0.0     0.0     0.0   neg  \n",
              "1         0.0     0.0     0.0     0.0   neg  \n",
              "2         0.0     0.0     0.0     0.0   neg  \n",
              "3         0.0     0.0     0.0     0.0   neg  \n",
              "4         0.0     0.0     0.0     0.0   neg  \n",
              "...       ...     ...     ...     ...   ...  \n",
              "59995     0.0     0.0     0.0     0.0   neg  \n",
              "59996     0.0     0.0     0.0     0.0   neg  \n",
              "59997     0.0     0.0     0.0     0.0   neg  \n",
              "59998     0.0     0.0     0.0     0.0   neg  \n",
              "59999     0.0     0.0     0.0     0.0   neg  \n",
              "\n",
              "[60000 rows x 14 columns]"
            ]
          },
          "execution_count": 14,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "temp_df = train[temp_cols]\n",
        "temp_df.insert(len(temp_df.columns),'class',train['class'])\n",
        "temp_df"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "288c4abc",
      "metadata": {
        "id": "288c4abc",
        "outputId": "f8b07d94-edb4-469c-899f-c59b5b4c6a68"
      },
      "outputs": [
        {
          "data": {
            "image/png": 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daRkvWJalhzY36//97EXF4pYk6SNXLdGbNsw+qYKrjGt+KfE5HGxPPJ5zoXTtV6XC2kxGdVx6h8P6yqN79O2RY6J+j0vfvnm9LliYnuKhaCSkv+3q1Qd/uVnRkf/7d144T69dXaXCP39aWbsfkCSFF16l0OWfU7+nVHf9ee9oPD63S595zXI1dA3rm4/t0dOHE+PrinyfvnfzGm1vHdTtv9w6+tpffv1qPXe4W9974uDo8//7hhW6atPbpYanEkHVnStd902paHZatvF0u+/FJt3+85dGt/kdr5irt5xbf8r2S+3khUM9et9Pnx+3H/TF163SytrCtLx+bzCsb/xpnx7emvgOz/N79JUbV2tBVr+u/O5evevCeTpnTrEe3NyimsJsLa/KVfWhR5T9u/dLVjzRWV7+BWntzdM6ob27tV+3fv8ZHexK9OXLqgL66hvXKN/v1Z0P7dAvnmsYjeN7t5yl9fUnvz/53KFuvffHz6uhO/GeSyrz9fkbVnGH91Pgjzvb9K4fPDe6H/Sei+frH18xT3lpKJAKRWI6FHTpfT95Tm39IUnS6toCfeSqJSf92jjzbG7s0rf/clC/eWH8ftClSyvT8vrB4QE9trdXH79/m2JxS8ZI//zKhbp6eYWKfnGdPG2bEysWzpYu/YQ2twzq3/74vFbOytcHZ72kwkfeL1lxBYxR08s+pb+UXqq/PbtP33k6Mf7K9bn1vVvO1llziifZL/h5Yp9n22+kX90mxRP7FHrVp6Wzbk0UtEZC0ub/k/qbpT//pxSPyWeMKs79qD60fZXuOMurqiffIdPXmHjurA3S9XdLRfWTb3jbdulHr5d6EmMSVa6Q5l4k/eJW6Y2/kGrPOrpuNCw9/7/SQ/8mWZZkXNK1X5NWvkFype9C9hmhbbv0w9dJvYcSj2vWSdd/Ryqek9m4zhAzPRvPlrTHsqx9lmWFJf1E0rXTffJAOKI7H9wxeuBCkn7zQpP2dwynP1LMeE/t7xotjJKk9v6Qvvu3/YqMDCxP1uHe0GhhlCRFYpb+44Ht2t0ZSsvr48zRPxzRpx7YNloYJUm/er5JW5p60/Yef9nVMVoYJUmHuob08JYWRSKxKZ4FJNvdOjBaGCVJ0bilD/ziJR0aOch0srY29uhTv90+ekJAkn66qUEHuoJq7Qum5T2AdDnUPTxaGCVJoWhcn/7tdh0etDQYjulXzzaovT+k8+cfPUnw2M52PX+455TE09Ef1Bd+t3O0MEqSfr+9VZsb0/d9glNkqEt64P1HC6Mk6dnvSs0vpu0tHtnaOnpCQErcSeXPO9t147oqHegaGj0Bb1nSt/6yX1esqFJ/KKpP/XabDnQM6t9/tVkj51JkWdInH9imve2Dqd7qhG1r7hstjJISn6mP/WYr/b/NbGnqHS2MkqRwLK5PPrBVu1r70/L6e7sj+o8Hto2eEJCk7z5xQE19QT26o0372gd1qDeqnrLEQcHBeVfpzmfNaGGUJP15V7sKc3z64/Y2Pbi5ebQwqiDbq87B8GhhlCQd6g7pVy91SL1Hc2+ivuGIPvnAttGCFmlkvE7/ant/2NE6WhglJfaDHnipKW2vf6AzOFoYJUnDkZg+8+AO9VvecVdOb2vu19amPj28pSVlHr3U0DtaGCVJfcGo/vOhHRoc850uKfE98cdPJQqjvNlSVqH+MlA9WhglSQ09Qf30mcOJu7CNFQlKj3/+aGGUJO15RGp4ZuqNjEWlp+8+WhglSYefksL9R6+a7muQNt0jxdNzvOVk9QyF9ZHfbB13fPFnmxq0tbHv6ErNLx49ASJJoX7poTuk4Z7TF+gYbf1BfeAXm8ftB33nr/u1vTk9fWs8GtGvn28aLYySEnn59L5uWYXLEoU5NetkNn1HrsiQLgo068uP7tb+aX7XP7G3U/PK8vWNP+1J23jhYOeQPvDLzaOFUZL0qd9uH+3THSkalv72paOFUZK0/0+Jz5SD7GjuHy1EkhJjtjt+8ZLa+tMzZtveNqxPPbBttJBHkr7xp7063BvSwXUfGm3z7XpAsYbntKWpd1w84Vhcdz64Q5G4RgujJKm1P6zv/L1BP9rUMO6149JoYdSR53/igR3as+YDR4M69HfpwF/Ssn2n2962AX3sN1vHbfM3H9+nHS3p6V/s7v6XGpP2g/6wozVtr7+/Y2i0MEqSBkJR/dcju+QtTlxE+PU/7VXUsvTI1lZVF2Yr2r5HgT/8W6IwSkp0lg/fnrjzyDT88rnG0cIoSdra3Kc/7mjX1qbe0cKoI3F84v6t6h0On/Q2/uLZhtHCKEna3tKvP+9qO+nXxXhNPcO64+cvjdsP+sof92hXmj6rQ8GgfvjUodHCKEl64XCvXjjMPg2O38HO4dHCKCmxH/SfD+3Qzta+KZ41fTs7o/r0g9tHx4GWJX3xD7vU0BeS5R5TSNpzUDr4dz0/UKwdrf26ZXFchY+O72Or//5RRXsa5ck6egfhwXBMH79/q3qHwpPsF9wudeyR7n/v0cIoSfr9hxN3apIS/XbXXumvXzy6jmWp/O//oTs2+LW88f+OFkZJiYLrfY9PvtGWJT37/aOFUZLUsvno7x75SCK2Izp3Sw/fkfidlNjm3/5zIiYcZVnSs/ceLYySpMZnpb2PZS6mM8xML46qkXR4zOOGkbZRxpjbjDGbjDGb2tvbxz15MBwfd9DqiI6Bkx/A4cyzsyX5S3jTwW4NhaMp1k5tqnzt6E8uguoaDKt3ePqvD0hSXzCirU3J+Xq8JwKnytdUr/9SY6/iFsVROD7tA8l9X18wqu6h6X9XT5WrA6HouAP2R3T0h3T9WvtN1YGZb8qxQIoxalNvUP3BqELRmAI5XhXl+tQ9OH69/R3pLSg5onsooh0pihNa+yjctr1gb2LKjokGju+A82T5Go1G9VKKIo7Njb3y+/3qG45oTunRO5/G4pYiscTBlS2NfeoLRhSMjD/hHbdSj4dPRqpcbewZVtcgOWwn7Sn+3zsGwkl93VSm6lv7hiMp+9cj79vaH1Rells92XWJ9UtWaEtL8thhOBxTa39QT+0/esFMdWFWyj74yRYpEpy80Ls/GBlfVDGijf7V9jY3JPd9Lzb0KBqdfhHPVPnamWJsvL9jUAPhmGLW+OKk3W0DGgwlHy9o7w+ppTd5329LY6/6gpHxjaF+qem5xM+55VJ4UJu7kg81PrW/S6GJF4aF+qTGTckb2HmMg+eRYenwk8ntvYcTMRxx6Akpkp4LJk5W33BUO1OcSGwb+/810JL0e7VsTvydMqBvOPV+UNtxftdOlq/dwVjKC7C2N/dKublSXoUUDUqtWyVJeVa/qgqy1THN7+AtjX1yuUzq8UKKz8l0dA+FxxW4SYlzG+kef5xW4YHUBYntO05/LCch1XGBpt7EtDrTNVXf2jMUGXfBx+j79ocU9o2fGtX0HE7ZF3cOhtU7nBzPc4d6VD5hOrlU67UPhNTpnjDd4ZETlA7TMRgad0GmlPgstaepmM3OYiPTCU6Uqm0qxzsW2NHSr+Hw0f6woz+sxVX56h4KyxfulqITnhOPSYMdx4wjGovrqf2dSe3PHexO+X2xtalP/Sk+S8djKBRJecHVlhRjY5yc3uGIOlPsU6VzLLAtxTmCPa0OLjpGxnT0J+fq3vZBDYWmf75pqr61azCcclzZPhDSUPGy8S/U9Kx6hhKfk6xI6j42L9Ytr2f8ftO25r7EeGOq/YLwhOMHlpW405QkDbZJLnfyPpAVV4UvrIL2FPteLVNcBBkNJfapJuo+kJjSr+WFxPHDIwbbxxduSYl9t2l8n5xRokHp4F+T2xufPf2xnKFmenFUqonFxx0Nsizrbsuy1luWtb6sbPytdotyPDq7PvmW4TVFM//2rki/dSluP3/F8koFsrzTfo2p8nVWUbZcEzJ+dkmOytI0DRrOHCV5fl24KPnW47NLjm96xqny9dx5yfM9v3xBqfw+5h/G8ZlVlCOve3znVxnIUmVB1iTPSDZVrhbnerW0KnkKkNribF2woDSpHTjVjjUWmGhxZb5Kc73K8Xo0GIqqoWtIpXnj+9pUOZ4OlYEsvWxe8udkdknOKXk/pFFumVR/QXL7cU7bMVm+ejyelH3oefNL1TcQVHGuTy+MuaNZlvfobutFi8tUmudXce74PM7yutK+n1afIleXVQdUXcD+oJ3UFSfvB9WX5KjmOKZlmapvLcv3jyvWkySXkWqLEvkxuzhHPYNhlfckDioWN/xRF89Nzp1cv0dzS/O0cfnR2/rv7xjUkhR98JX1kjd38mlBinP9unhReVJ7Hf2r7V2wIHk/68JFZfJ4pn947njHAmtnF6oox5N056aVswIpjxfUFuck5bwkXbykXMUTxhDKLklMZydJfY2SP6DzKpJPel6xvFLZE6cdyy6WFl+VvIFVx5hu3Z8nLUlxU/jieYkYjlh6XWJdGyjN9+n8+cnfe3VFYz6zRSmmUJh/qZSTmX2OsjyfVtQk9091xcfXz0yWrxUFOXp5is/D2XNKZJqbpY59kidLqj9fktRpitTUM6Tqafbt584t0XA4pqKc8cfcsryu4/p+GKsikKWyCVOX+j3pH3+cVlmF0pKrk9tr1p32UE5GbVFyXq6oCaj8OI6JTtW3VgT8qppwjMHrNppVmK3swcZx7VbZwkmP0RbmJB8DftXScrVOKEgtyfPJTHj+3NJc1QzvHN84+2XT2DL7mVWUrYrA+P8br9uo9jj7Fydyu116RYrpHi9I8R0xlanyNVWf9LL5pSrMTuSfx2VUXZil5w93qzzfr+HsSil7wnkLX+6xp7iV5HG7dMWKqqT2ixaXpfy+uHBRuUpyT+5cRY7fm/Jv+LIUx5pxcsrz/ZpbOv7/0WUS+1/HY7J8rQn49fKFybmfrummcWaZlSIvz6ovUnHu9Kc+nqpvrQxkJR2H8ntcqi7MUn7ThEKXeZeoMpAYN/R5y1P2sZ2uMvVNKIa+cGGZSvJ8k+8X5FVIeROOA3j8R6dCLqhN3J03d8L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\n",
            "text/plain": [
              "<Figure size 2394.88x2340 with 169 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          },
          "output_type": "display_data"
        }
      ],
      "source": [
        "pp = sbn.pairplot(temp_df,hue=\"class\",height=2.5,diag_kind=None)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "e6b9963d",
      "metadata": {
        "id": "e6b9963d",
        "outputId": "c4f85db7-086b-4ed2-d8ae-a0c9be04cd78"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "Index(['cf_000', 'co_000', 'ad_000', 'cs_009', 'dh_000', 'dj_000', 'ag_000',\n",
              "       'as_000', 'ay_009', 'ak_000', 'az_009', 'ch_000', 'au_000', 'class'],\n",
              "      dtype='object')"
            ]
          },
          "execution_count": 16,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "temp_df.columns"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "2479bec8",
      "metadata": {
        "id": "2479bec8",
        "outputId": "493a8275-a2ff-4763-c973-b0eb7bcfebeb"
      },
      "outputs": [
        {
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 6 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          },
          "output_type": "display_data"
        }
      ],
      "source": [
        "fig,axes=plt.subplots(1,6)\n",
        "# fig.legends\n",
        "b1=sbn.boxplot(y='cf_000',x='class',data=temp_df,ax=axes[0],orient='v',hue= 'class')\n",
        "b2=sbn.boxplot(y='co_000',x='class',data=temp_df,ax=axes[1],orient='v',hue= 'class')\n",
        "b3=sbn.boxplot(y='ad_000',x='class',data=temp_df,ax=axes[2],orient='v',hue= 'class')\n",
        "b4=sbn.boxplot(y='cs_009',x='class',data=temp_df,ax=axes[3],orient='v',hue= 'class')\n",
        "b5=sbn.boxplot(y='dh_000',x='class',data=temp_df,ax=axes[4],orient='v',hue= 'class')\n",
        "b6=sbn.boxplot(y='dj_000',x='class',data=temp_df,ax=axes[5],orient='v',hue= 'class')\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "de9165ef",
      "metadata": {
        "id": "de9165ef",
        "outputId": "5e5bf47b-34e8-4c64-e834-b9fca9e70584"
      },
      "outputs": [
        {
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 7 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          },
          "output_type": "display_data"
        }
      ],
      "source": [
        "fig,axes=plt.subplots(1,7)\n",
        "b7=sbn.boxplot(y='ag_000',x='class',data=temp_df,ax=axes[0],orient='v',hue= 'class')\n",
        "b8=sbn.boxplot(y='as_000',x='class',data=temp_df,ax=axes[1],orient='v',hue= 'class')\n",
        "b9=sbn.boxplot(y='ay_009',x='class',data=temp_df,ax=axes[2],orient='v',hue= 'class')\n",
        "b10=sbn.boxplot(y='ak_000',x='class',data=temp_df,ax=axes[3],orient='v',hue= 'class')\n",
        "b11=sbn.boxplot(y='az_009',x='class',data=temp_df,ax=axes[4],orient='v',hue= 'class')\n",
        "b12=sbn.boxplot(y='ch_000',x='class',data=temp_df,ax=axes[5],orient='v',hue= 'class')\n",
        "b13=sbn.boxplot(y='au_000',x='class',data=temp_df,ax=axes[6],orient='v',hue= 'class')\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "1d347c93",
      "metadata": {
        "id": "1d347c93",
        "outputId": "4fe6cde6-660d-4f85-e38a-bbfe26a0571c"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Q.1.b.v\n",
            "\n",
            "neg    59000\n",
            "pos     1000\n",
            "Name: class, dtype: int64\n"
          ]
        }
      ],
      "source": [
        "print('Q.1.b.v\\n')\n",
        "print(temp_df['class'].value_counts())"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "69e84c1e",
      "metadata": {
        "id": "69e84c1e",
        "outputId": "22bdd223-ce1c-467c-b901-41b8a082a929"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Q.1.c\n",
            "\n"
          ]
        }
      ],
      "source": [
        "print('Q.1.c\\n')\n",
        "\n",
        "# print(test['class'].value_counts())"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "710f02c5",
      "metadata": {
        "id": "710f02c5"
      },
      "outputs": [],
      "source": [
        "train=train.replace({'class':{'pos':1,'neg':0}})\n",
        "test=test.replace({'class':{'pos':1,'neg':0}})\n",
        "y_train = train['class']\n",
        "y_actual = test['class']\n",
        "x_train = train.iloc[:,1:]\n",
        "y_train = train['class']\n",
        "x_test = test.iloc[:,1:]\n",
        "# x_test\n",
        "y_actual = test['class']\n",
        "clf = RandomForestClassifier(oob_score=True)\n",
        "clf.fit(x_train,y_train)\n",
        "y_pred = clf.predict(x_test)\n",
        "oob_error = 1 - clf.oob_score_"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "e4298b9f",
      "metadata": {
        "id": "e4298b9f"
      },
      "outputs": [],
      "source": [
        "# x_test"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "e3ff8468",
      "metadata": {
        "id": "e3ff8468",
        "outputId": "368b1ded-d614-4678-a7a4-d093db5a097b"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "<sklearn.metrics._plot.confusion_matrix.ConfusionMatrixDisplay at 0x2ce8093efd0>"
            ]
          },
          "execution_count": 30,
          "metadata": {},
          "output_type": "execute_result"
        },
        {
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 2 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          },
          "output_type": "display_data"
        }
      ],
      "source": [
        "cm=confusion_matrix(y_actual,y_pred)\n",
        "cm_display = ConfusionMatrixDisplay(cm)\n",
        "cm_display.plot()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "5036963c",
      "metadata": {
        "id": "5036963c",
        "outputId": "4552b494-c940-4603-87f2-36763d6d852d"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Misclassification rate = 0.7875%\n",
            "\n"
          ]
        }
      ],
      "source": [
        "tn,fp,fn,tp = confusion_matrix(y_actual,y_pred).ravel()\n",
        "# (tn,fp,fn,tp)\n",
        "mr = (fp+fn) / (tn+tp+fn+fp)\n",
        "# print(mr)\n",
        "print(f'Misclassification rate = {mr*100}%\\n')"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "3ae95c2e",
      "metadata": {
        "id": "3ae95c2e",
        "outputId": "561b35db-4c9c-430e-ec42-67b1bf7dde60"
      },
      "outputs": [
        {
          "name": "stderr",
          "output_type": "stream",
          "text": [
            "C:\\Users\\admin\\anaconda3\\lib\\site-packages\\sklearn\\utils\\deprecation.py:87: FutureWarning: Function plot_roc_curve is deprecated; Function :func:`plot_roc_curve` is deprecated in 1.0 and will be removed in 1.2. Use one of the class methods: :meth:`sklearn.metric.RocCurveDisplay.from_predictions` or :meth:`sklearn.metric.RocCurveDisplay.from_estimator`.\n",
            "  warnings.warn(msg, category=FutureWarning)\n"
          ]
        },
        {
          "data": {
            "text/plain": [
              "<sklearn.metrics._plot.roc_curve.RocCurveDisplay at 0x2ce8640a640>"
            ]
          },
          "execution_count": 32,
          "metadata": {},
          "output_type": "execute_result"
        },
        {
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          },
          "output_type": "display_data"
        }
      ],
      "source": [
        "plot_roc_curve(clf,x_train,y_train)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "36e827d8",
      "metadata": {
        "id": "36e827d8",
        "outputId": "01a43fb7-c9cd-4772-b797-94c66f37e4ba"
      },
      "outputs": [
        {
          "name": "stderr",
          "output_type": "stream",
          "text": [
            "C:\\Users\\admin\\anaconda3\\lib\\site-packages\\sklearn\\utils\\deprecation.py:87: FutureWarning: Function plot_roc_curve is deprecated; Function :func:`plot_roc_curve` is deprecated in 1.0 and will be removed in 1.2. Use one of the class methods: :meth:`sklearn.metric.RocCurveDisplay.from_predictions` or :meth:`sklearn.metric.RocCurveDisplay.from_estimator`.\n",
            "  warnings.warn(msg, category=FutureWarning)\n"
          ]
        },
        {
          "data": {
            "text/plain": [
              "<sklearn.metrics._plot.roc_curve.RocCurveDisplay at 0x2ce901b3c70>"
            ]
          },
          "execution_count": 33,
          "metadata": {},
          "output_type": "execute_result"
        },
        {
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          },
          "output_type": "display_data"
        }
      ],
      "source": [
        "plot_roc_curve(clf,x_test,y_actual)"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "d280c69f",
      "metadata": {
        "id": "d280c69f"
      },
      "source": [
        "AUC = 0.99"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "96cabb01",
      "metadata": {
        "id": "96cabb01",
        "outputId": "06d6eb9c-6cc8-497f-8884-a21826cfb652"
      },
      "outputs": [
        {
          "name": "stderr",
          "output_type": "stream",
          "text": [
            "C:\\Users\\admin\\anaconda3\\lib\\site-packages\\sklearn\\utils\\deprecation.py:87: FutureWarning: Function plot_roc_curve is deprecated; Function :func:`plot_roc_curve` is deprecated in 1.0 and will be removed in 1.2. Use one of the class methods: :meth:`sklearn.metric.RocCurveDisplay.from_predictions` or :meth:`sklearn.metric.RocCurveDisplay.from_estimator`.\n",
            "  warnings.warn(msg, category=FutureWarning)\n"
          ]
        },
        {
          "data": {
            "text/plain": [
              "<sklearn.metrics._plot.roc_curve.RocCurveDisplay at 0x2ce901504f0>"
            ]
          },
          "execution_count": 34,
          "metadata": {},
          "output_type": "execute_result"
        },
        {
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          },
          "output_type": "display_data"
        }
      ],
      "source": [
        "plot_roc_curve(clf,x_test,y_pred)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "a7e12085",
      "metadata": {
        "id": "a7e12085",
        "outputId": "e8034c42-e0b2-402e-e8c5-61fee2f6f612"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "The test error of the model is 0.007875\n",
            "\n",
            "The out of bag (OOB) error is:  0.006333333333333302\n"
          ]
        }
      ],
      "source": [
        "print(f\"The test error of the model is {metrics.mean_squared_error(y_actual,y_pred)}\\n\")\n",
        "print(\"The out of bag (OOB) error is: \", oob_error)"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "58c97aba",
      "metadata": {
        "id": "58c97aba"
      },
      "source": [
        "Q.1.d\n",
        "- In order to handle unbalanced classification, we can:\n",
        "    1. use class_weight parameter while defining the model\n",
        "    2. use sample_weight parameter while fitting data to the model\n",
        "    3. Use upsampling / downsampling to rectify class imbalance."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "2874222f",
      "metadata": {
        "id": "2874222f"
      },
      "outputs": [],
      "source": [
        "oversample = SMOTE()\n",
        "x_train_resample, y_train_resample = oversample.fit_resample(x_train,y_train)\n",
        "clf_bal = RandomForestClassifier()\n",
        "clf_bal.fit(x_train_resample,y_train_resample)\n",
        "y_pred_bal = clf_bal.predict(x_test)\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "834b2c95",
      "metadata": {
        "id": "834b2c95",
        "outputId": "b493137a-4bf4-45ad-ec0e-d229c554682d"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "<sklearn.metrics._plot.confusion_matrix.ConfusionMatrixDisplay at 0x2cea7824cd0>"
            ]
          },
          "execution_count": 37,
          "metadata": {},
          "output_type": "execute_result"
        },
        {
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 2 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          },
          "output_type": "display_data"
        }
      ],
      "source": [
        "cm_bal=confusion_matrix(y_actual,y_pred_bal)\n",
        "cm_bal_display = ConfusionMatrixDisplay(cm_bal)\n",
        "cm_bal_display.plot()"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "9574acbb",
      "metadata": {
        "id": "9574acbb"
      },
      "source": [
        "It can be inferred that the true positive number has incresed but at the cost of reduction in the number of true negatives. Hence, the misclassification rate has increased."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "4dc00b98",
      "metadata": {
        "id": "4dc00b98",
        "outputId": "6c803095-281c-4e33-852f-2a5aac685c7f"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Misclassification rate = 0.9625%\n",
            "\n"
          ]
        }
      ],
      "source": [
        "tn1,fp1,fn1,tp1 = confusion_matrix(y_actual,y_pred_bal).ravel()\n",
        "# (tn,fp,fn,tp)\n",
        "mr_bal = (fp1+fn1) / (tn1+tp1+fn1+fp1)\n",
        "# print(mr)\n",
        "print(f'Misclassification rate = {mr_bal*100}%\\n')"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "a3de2a96",
      "metadata": {
        "id": "a3de2a96",
        "outputId": "8eac422e-8519-47c1-f4ac-34be8dcbf989"
      },
      "outputs": [
        {
          "name": "stderr",
          "output_type": "stream",
          "text": [
            "C:\\Users\\admin\\anaconda3\\lib\\site-packages\\sklearn\\utils\\deprecation.py:87: FutureWarning: Function plot_roc_curve is deprecated; Function :func:`plot_roc_curve` is deprecated in 1.0 and will be removed in 1.2. Use one of the class methods: :meth:`sklearn.metric.RocCurveDisplay.from_predictions` or :meth:`sklearn.metric.RocCurveDisplay.from_estimator`.\n",
            "  warnings.warn(msg, category=FutureWarning)\n"
          ]
        },
        {
          "data": {
            "text/plain": [
              "<sklearn.metrics._plot.roc_curve.RocCurveDisplay at 0x2ceaf44efd0>"
            ]
          },
          "execution_count": 39,
          "metadata": {},
          "output_type": "execute_result"
        },
        {
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          },
          "output_type": "display_data"
        }
      ],
      "source": [
        "plot_roc_curve(clf_bal,x_train_resample,y_train_resample)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "81c00a26",
      "metadata": {
        "id": "81c00a26",
        "outputId": "d87f19f1-4928-423b-df8a-5d618a656238"
      },
      "outputs": [
        {
          "name": "stderr",
          "output_type": "stream",
          "text": [
            "C:\\Users\\admin\\anaconda3\\lib\\site-packages\\sklearn\\utils\\deprecation.py:87: FutureWarning: Function plot_roc_curve is deprecated; Function :func:`plot_roc_curve` is deprecated in 1.0 and will be removed in 1.2. Use one of the class methods: :meth:`sklearn.metric.RocCurveDisplay.from_predictions` or :meth:`sklearn.metric.RocCurveDisplay.from_estimator`.\n",
            "  warnings.warn(msg, category=FutureWarning)\n"
          ]
        },
        {
          "data": {
            "text/plain": [
              "<sklearn.metrics._plot.roc_curve.RocCurveDisplay at 0x2ce8641b250>"
            ]
          },
          "execution_count": 40,
          "metadata": {},
          "output_type": "execute_result"
        },
        {
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          },
          "output_type": "display_data"
        }
      ],
      "source": [
        "plot_roc_curve(clf_bal,x_test,y_actual)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "d1053763",
      "metadata": {
        "id": "d1053763",
        "outputId": "a8397744-c049-4b82-99d5-c76035b9ed39"
      },
      "outputs": [
        {
          "name": "stderr",
          "output_type": "stream",
          "text": [
            "C:\\Users\\admin\\anaconda3\\lib\\site-packages\\sklearn\\utils\\deprecation.py:87: FutureWarning: Function plot_roc_curve is deprecated; Function :func:`plot_roc_curve` is deprecated in 1.0 and will be removed in 1.2. Use one of the class methods: :meth:`sklearn.metric.RocCurveDisplay.from_predictions` or :meth:`sklearn.metric.RocCurveDisplay.from_estimator`.\n",
            "  warnings.warn(msg, category=FutureWarning)\n"
          ]
        },
        {
          "data": {
            "text/plain": [
              "<sklearn.metrics._plot.roc_curve.RocCurveDisplay at 0x2cebbdc35e0>"
            ]
          },
          "execution_count": 41,
          "metadata": {},
          "output_type": "execute_result"
        },
        {
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          },
          "output_type": "display_data"
        }
      ],
      "source": [
        "plot_roc_curve(clf_bal,x_test,y_pred_bal)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "3122fa49",
      "metadata": {
        "id": "3122fa49"
      },
      "outputs": [],
      "source": [
        "train=train.replace({'class':{'pos':1,'neg':0}})\n",
        "test=test.replace({'class':{'pos':1,'neg':0}})\n",
        "y_train = train['class']\n",
        "y_actual = test['class']"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "13203514",
      "metadata": {
        "id": "13203514"
      },
      "outputs": [],
      "source": []
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "3356048a",
      "metadata": {
        "id": "3356048a",
        "outputId": "77b33ae7-78fc-46b1-910a-9e0b9d394b18"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "1.e\n",
            "\n",
            "Fitting 5 folds for each of 7 candidates, totalling 35 fits\n",
            "best_alpha : {'alpha': 0.7}\n"
          ]
        }
      ],
      "source": [
        "print('1.e\\n')\n",
        "warnings.filterwarnings(action='ignore')\n",
        "xgb = XGBClassifier(objective='binary:logistic')\n",
        "params = {\n",
        "          'alpha':np.linspace(0.1,1,7)\n",
        "         }\n",
        "grid = GridSearchCV(estimator=xgb,param_grid=params,verbose=True)\n",
        "grid_mod=grid.fit(x_train,y_train,eval_metric='rmse')\n",
        "# grid_pred = grid_mod.predict(x_test)\n",
        "print('best_alpha :',grid.best_params_)"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "082a5db0",
      "metadata": {
        "id": "082a5db0"
      },
      "source": [
        "best_params_ returns a dictionary of paramenters which gives best results on the hold out(validation) data"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "98a34bf8",
      "metadata": {
        "id": "98a34bf8"
      },
      "outputs": [],
      "source": [
        "warnings.filterwarnings(action='ignore')\n",
        "best_alpha = 0.7\n",
        "xg = XGBClassifier(objective='binary:logistic',alpha=best_alpha)\n",
        "xg.fit(x_train,y_train,eval_metric='rmse')\n",
        "xg_pred = xg.predict(x_test)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "8d7b174b",
      "metadata": {
        "id": "8d7b174b",
        "outputId": "16f31abb-40fa-4682-c382-75494340324e"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "<sklearn.metrics._plot.confusion_matrix.ConfusionMatrixDisplay at 0x2cea4611430>"
            ]
          },
          "execution_count": 45,
          "metadata": {},
          "output_type": "execute_result"
        },
        {
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 2 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          },
          "output_type": "display_data"
        }
      ],
      "source": [
        "xg_mat=confusion_matrix(y_actual,xg_pred)\n",
        "xg_mat_disp = ConfusionMatrixDisplay(xg_mat)\n",
        "xg_mat_disp.plot()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "f5317ea3",
      "metadata": {
        "id": "f5317ea3",
        "outputId": "9c594442-9d57-4fc7-ead0-f2ade6fe8eca"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Misclassification rate = 0.6062500000000001%\n",
            "\n"
          ]
        }
      ],
      "source": [
        "tn2,fp2,fn2,tp2 = confusion_matrix(y_actual,xg_pred).ravel()\n",
        "# (tn,fp,fn,tp)\n",
        "xg_bal = (fp2+fn2) / (tn2+tp2+fn2+fp2)\n",
        "# print(mr)\n",
        "print(f'Misclassification rate = {xg_bal*100}%\\n')"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "9aa27d84",
      "metadata": {
        "id": "9aa27d84",
        "outputId": "ef011b67-ceb5-41ee-d79e-9e23794d571c"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "<sklearn.metrics._plot.roc_curve.RocCurveDisplay at 0x2ceac0e5220>"
            ]
          },
          "execution_count": 47,
          "metadata": {},
          "output_type": "execute_result"
        },
        {
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          },
          "output_type": "display_data"
        }
      ],
      "source": [
        "plot_roc_curve(xg,x_train,y_train)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "3f311412",
      "metadata": {
        "id": "3f311412",
        "outputId": "4086e486-e3a7-4f5d-8f82-712a7b200e96"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "<sklearn.metrics._plot.roc_curve.RocCurveDisplay at 0x2ceb50470a0>"
            ]
          },
          "execution_count": 48,
          "metadata": {},
          "output_type": "execute_result"
        },
        {
          "data": {
            "image/png": 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xij8F/kzSHfWPCxSTmZkVUdYrgq0j4izgrEIGY2ZmxZf1iuAKSS9IukjSgIJGZGZmRZUpEUTEcGAPYCkwXtJzks4uZGBmZlYcmR8oi4j/RMRVwIkkzxScW6igzMyseLI+UNZP0vmS5pMMUTmDZHwBMzNr5rI2Ft8ETAL2jYjqg8uYmVkzlikRRMROhQ7EzMyaRp2JQNJfIuJwSc+x5njDWUYoMzOzZiDfFcGP0p8HFDoQMzNrGnU2FkfEkvTtyRHxeu4LOLnw4ZmZWaFlvX10nxrmjWzMQMzMrGnkayM4ieSbfy9J83IWbQg8XsjAzMysOPK1EfwZuB/4DXBmzvwPIuKdgkVlZmZFky8RRES8JumU6gskbexkYGbW/GW5IjgAmENy+6hylgXQq0BxmZlZkdSZCCLigPRnz+KEY2ZmxZa1r6FdJHVK34+WdIWkHoUNzczMiiHr7aPXAx9LGgz8HHgd+GPBojIzs6Kpz+D1AYwCfhcRvyO5hdTMzJq5rL2PfiDpl8AxwK6S2gDtCheWmZkVS9YrgiNIBq4/LiL+A3QHLi9YVGZmVjRZh6r8D3Ar0EXSAcDKiLiloJGZmVlRZL1r6HDgKeB/gMOBJyUdlmG7EZJelLRI0pk1LP+WpHnpa0baGG1mZkWUtY3gLGCHiHgbQFI34CHgb7VtkLYjXEvSYV0FMEvS5IhYmLPaq8DuEfGupJHAeGDH+hfDzMwaKmsbwVcqk0BqeYZthwKLIuKViPgMuI3krqMqETEjIt5NJ2ficZDNzIou6xXBPyQ9QDJuMSSNx/fl2aY7sDhnuoK6v+1/j6SDu7VIOgE4AaBHDz/HZmbWmLKOWXyGpG8CXyfpb2h8RNyVZzPVMC9qmIek4SSJ4Ou1HH88SbUR5eXlNe7DzMwaJt94BH2BMUBv4Dng9Ih4M+O+K4AtcqZLgLdqOMYg4EZgZEQsz7hvMzNrJPnq+ScAU4BDSXogvboe+54F9JXUU9J6wJHA5NwV0v6K7gSOiYiX6rFvMzNrJPmqhjaMiBvS9y9KejrrjiNilaRTgQeANsCEiFgg6cR0+TjgXGAT4DpJkHRlUV7fQpiZWcPlSwTtJW3Hf+v7O+ROR0SdiSEi7qNao3KaACrfHw8cX9+gzcys8eRLBEuAK3Km/5MzHcCehQjKzMyKJ9/ANMOLFYiZmTWNrA+UmZlZC+VEYGbWyjkRmJm1cll7H1U6VvG56XQPSUMLG5qZmRVD1iuC64BhwFHp9AckPYuamVkzl7XTuR0jYntJzwCk3UavV8C4zMysSLJeEXyeji8QUDUeweqCRWVmZkWTNRFcBdwFbCrp18B04JKCRWVmZkWTtRvqWyXNAfYi6V7i4Ih4vqCRmZlZUWRKBGkvoR8D9+bOi4g3ChWYmZkVR9bG4r+TtA8IaA/0BF4EBhQoLjMzK5KsVUPb5k5L2h74QUEiMjOzomrQk8Vp99M7NHIsZmbWBLK2Efw0Z/IrwPbA0oJEZGZmRZW1jWDDnPerSNoM7mj8cMzMrNjyJoL0QbINIuKMIsRjZmZFVmcbgaS2EfEFSVWQmZm1QPmuCJ4iSQJzJU0G/gp8VLkwIu4sYGxmZlYEWdsINgaWk4xRXPk8QQBOBGZmzVy+RLBpesfQfP6bACpFwaIy+5L5/PPPqaioYOXKlU0dilmd2rdvT0lJCe3atcu8Tb5E0AbYgDUTQCUnAms1Kioq2HDDDSktLUWq6d/BrOlFBMuXL6eiooKePXtm3i5fIlgSEReuW2hmzd/KlSudBOxLTxKbbLIJS5fW7zGvfE8W+6/eLOUkYM1BQ/5O8yWCvRoWipmZNRd1JoKIeKdYgZhZ7RYvXkzPnj15553kX/Ldd9+lZ8+evP766wC8/PLLHHDAAfTu3ZshQ4YwfPhwpk2bBsDEiRPp1q0bZWVlDBgwgMMOO4yPP/64at9jxoxhm222YeDAgQwePJhbbrkFgD322IPZs2c3SvyzZ8/mtNNOA+DTTz9l7733pqysjNtvv53jjz+ehQsXrtP+x44dWxU3wKpVq+jatSu//OUv11ivtLSUZcuWVU0/8sgjHHDAAVXT999/P+Xl5fTr149tttmG008/fZ3iAjjrrLPYYost2GCDDepc7ze/+Q19+vRh66235oEHHqiaP2fOHLbddlv69OnDaaedRkTSPHvNNddw0003rXN8QNK40JxeQ4YMiYY4fNyMOHzcjAZta7Zw4cKmDiEuu+yy+P73vx8RESeccEJccsklERHxySefRN++feOee+6pWve5556Lm266KSIibrrppjjllFOqlh111FExYcKEiIi4/vrrY9999433338/IiLee++9mDhxYkRE7L777jFr1qxGL8cTTzwRu+22W4O3X7Vq1RrTn3/+eWy77bbx+eefV837+9//HjvvvHP06tUrVq9eXTV/yy23jKVLl1ZNT506Nfbff/+ISD6zXr16xfPPP1+132uvvbbBcVZ64okn4q233opOnTrVus6CBQti0KBBsXLlynjllVeiV69eVeXcYYcdYsaMGbF69eoYMWJE3HfffRER8dFHH0VZWVmN+6vp7xWYHbWcV7M+R2BmqQvuXcDCt1Y06j77b96Z8w6se3iPn/zkJwwZMoSxY8cyffp0rr76agBuvfVWhg0bxkEHHVS17sCBAxk4cOBa+1i1ahUfffQRX/3qVwG45JJLmDp1Kp07dwagS5cufOc731lru5NOOolZs2bxySefcNhhh3HBBRcAcOaZZzJ58mTatm3Lvvvuy5gxY/jrX//KBRdcQJs2bejSpQvTpk3jkUceYcyYMUyYMIHRo0ezdOlSysrKuOOOO/je977HmDFjKC8v58EHH+S8887j008/pXfv3tx0001ssMEGlJaWctxxx/Hggw9y6qmncuSRR1bF9q9//Yvtt9+etm3/ezqbNGkSP/rRj7j++uuZOXMmw4YNy/s7+O1vf8tZZ53FNttsA0Dbtm05+eST826Xz0477ZR3nXvuuYcjjzyS9ddfn549e9KnTx+eeuopSktLWbFiRVX83/72t7n77rsZOXIkHTt2pLS0lKeeeoqhQ4euU4xOBGbNRLt27bj88ssZMWIEDz74IOuttx4ACxYsYPvt6+4F5vbbb2f69OksWbKErbbaigMPPJAPPviADz74gN69e+c99q9//Ws23nhjvvjiC/baay/mzZtHSUkJd911Fy+88AKSeO+99wC48MILeeCBB+jevXvVvEqbbropN954I2PGjGHKlClrLFu2bBkXX3wxDz30EJ06deKyyy7jiiuu4NxzzwWS++OnT5++VmyPP/44Q4YMqZr+5JNPePjhh/n973/Pe++9x6RJkzIlgvnz5/Ozn/0s73pTp07lJz/5yVrzO3bsyIwZM/JuX5M333xzjYRRUlLCm2++Sbt27SgpKVlrfqXy8nIee+wxJwKzYsv3zb2Q7r//fjbbbDPmz5/PPvvsU+M6hxxyCC+//DJbbbUVd96ZPPx/xBFHcM011xARnHLKKVx++eWcfPLJme8w+ctf/sL48eNZtWoVS5YsYeHChfTv35/27dtz/PHHs//++1fVte+yyy4ce+yxHH744Xzzm9/MXLaZM2eycOFCdtllFwA+++yzNU7gRxxxRI3bLVmyhH79+lVNT5kyheHDh9OxY0cOPfRQLrroIq688kratGlTY3nre5fN8OHDmTt3br22ySdi7ceyJNU6v9Kmm27KCy+8sM7Hb9DANFlJGiHpRUmLJJ1Zw3JJuipdPi8d+czMajB37lz++c9/MnPmTK688kqWLFkCwIABA3j66aer1rvrrruYOHFiVcNyLkkceOCBTJs2jc6dO9OpUydeeeWVOo/76quvMmbMGB5++GHmzZvH/vvvz8qVK2nbti1PPfUUhx56KHfffTcjRowAYNy4cVx88cUsXryYsrIyli9fnql8EcE+++zD3LlzmTt3LgsXLuQPf/hD1fJOnTrVuF2HDh3WeOJ70qRJPPTQQ5SWljJkyBCWL1/O1KlTAdhkk0149913q9Z955136Nq1K5B8jnPmzMkb59SpUykrK1vrtfPOO2cqZ01KSkpYvHhx1XRFRQWbb745JSUlVFRUrDW/0sqVK+nQoUODj1upYIkg7b76WmAk0B84SlL/aquNBPqmrxOA6wsVj1lzFhGcdNJJjB07lh49enDGGWdU3dFy9NFH8/jjjzN58uSq9XPvCqpu+vTpVdVBv/zlLznllFNYsSJp81ixYgXjx49fY/0VK1bQqVMnunTpwv/93/9x//33A/Dhhx/y/vvvs99++zF27Niqb8n//ve/2XHHHbnwwgvp2rXrGie4uuy00048/vjjLFq0qKoML730Ut7t+vXrV7XNihUrmD59Om+88QavvfYar732Gtdeey2TJk0Ckjuh/vjHPwLwxRdf8Kc//Ynhw4cDcMYZZ3DJJZdUHXP16tVcccUVax2v8oqg+quh1UIABx10ELfddhuffvopr776Ki+//DJDhw5ls802Y8MNN2TmzJlEBLfccgujRo2q2u6ll16qsS2ovgp5RTAUWBQRr0TEZ8BtwKhq64wCbkkbtWcCG0narIAxmTVLN9xwAz169KiqDjr55JN54YUXePTRR+nQoQNTpkxh3Lhx9OrVi2HDhnHxxRdz9tlnV21/++23U1ZWxqBBg3jmmWc455xzgKQRePjw4eywww4MHDiQ3XffnY4dO65x7MGDB7PddtsxYMAAjjvuuKqqmw8++IADDjiAQYMGsfvuu3PllVcCyQl12223ZeDAgey2224MHjw4Uxm7devGxIkTOeqooxg0aBA77bRTpmqPkSNHVt0qe+edd7Lnnnuy/vrrVy0fNWoUkydP5tNPP+Wcc85h0aJFVWXq06cPo0ePBmDQoEGMHTuWo446in79+jFw4MCqq6518fOf/5ySkhI+/vhjSkpKOP/88wGYPHlyVfvHgAEDOPzww+nfvz8jRozg2muvpU2bNgBcf/31HH/88fTp04fevXszcuTIqn0//vjj7L333uscY8Fu8wQOA27MmT4GuKbaOlOAr+dMPwyU17CvE4DZwOwePXrUegtWXc6fPD/Onzy/QduafRluH7XaHXzwwfHSSy81dRhF9fTTT8fo0aNrXPZlun00S0d1mTqzi4jxwHiA8vLyBnV215QNfGZWWJdeeilLliyhb9++TR1K0SxbtoyLLrqoUfZVyERQAWyRM10CvNWAdczM6rT11luz9dZbN3UYRVXbXWMNUcg2gllAX0k9Ja0HHAlMrrbOZODb6d1DOwHvR8S6V8qZFUDUcCuf2ZdNQ/5OC3ZFEBGrJJ0KPEAyrsGEiFgg6cR0+TjgPmA/YBHwMfDdQsVjti7at2/P8uXL2WSTTdwLqX1pRToeQfv27eu1nZrbt5zy8vJorI6wzLLyCGXWXNQ2QpmkORFRXtM2frLYLIN27drVa8Qns+akoE8Wm5nZl58TgZlZK+dEYGbWyjW7xmJJS4HXG7h5V2BZ3rVaFpe5dXCZW4d1KfOWEdGtpgXNLhGsC0mza2s1b6lc5tbBZW4dClVmVw2ZmbVyTgRmZq1ca0sE4/Ov0uK4zK2Dy9w6FKTMraqNwMzM1tbargjMzKwaJwIzs1auRSYCSSMkvShpkaQza1guSVely+dJ2r4p4mxMGcr8rbSs8yTNkJRt/MAvsXxlzllvB0lfSDqsmPEVQpYyS9pD0lxJCyQ9WuwYG1uGv+0uku6V9Gxa5mbdi7GkCZLeljS/luWNf/6qbeiy5voi6fL630AvYD3gWaB/tXX2A+4nGSFtJ+DJpo67CGXeGfhq+n5kayhzznr/Iuny/LCmjrsIv+eNgIVAj3R606aOuwhl/hVwWfq+G/AOsF5Tx74OZd4N2B6YX8vyRj9/tcQrgqHAooh4JSI+A24DRlVbZxRwSyRmAhtJ2qzYgTaivGWOiBkR8W46OZNkNLjmLMvvGeCHwB3A28UMrkCylPlo4M6IeAMgIpp7ubOUOYANlQwUsQFJIlhV3DAbT0RMIylDbRr9/NUSE0F3YHHOdEU6r77rNCf1Lc/3SL5RNGd5yyypO3AIMK6IcRVSlt/zVsBXJT0iaY6kbxctusLIUuZrgH4kw9w+B/woIlYXJ7wm0ejnr5Y4HkFNw0dVv0c2yzrNSebySBpOkgi+XtCICi9LmccCv4iIL1rIqGJZytwWGALsBXQAnpA0MyJeKnRwBZKlzN8A5gJ7Ar2Bf0p6LCJWFDi2ptLo56+WmAgqgC1ypktIvinUd53mJFN5JA0CbgRGRsTyIsVWKFnKXA7cliaBrsB+klZFxN1FibDxZf3bXhYRHwEfSZoGDAaaayLIUubvApdGUoG+SNKrwDbAU8UJsega/fzVEquGZgF9JfWUtB5wJDC52jqTgW+nre87Ae9HxJJiB9qI8pZZUg/gTuCYZvztMFfeMkdEz4gojYhS4G/Ayc04CUC2v+17gF0ltZXUEdgReL7IcTamLGV+g+QKCElfA7YGXilqlMXV6OevFndFEBGrJJ0KPEByx8GEiFgg6cR0+TiSO0j2AxYBH5N8o2i2Mpb5XGAT4Lr0G/KqaMY9N2Ysc4uSpcwR8bykfwDzgNXAjRFR422IzUHG3/NFwERJz5FUm/wiIppt99SSJgF7AF0lVQDnAe2gcOcvdzFhZtbKtcSqITMzqwcnAjOzVs6JwMyslXMiMDNr5ZwIzMxaOSeCViDteXNuzqu0jnU/bITjTZT0anqspyUNa8A+bpTUP33/q2rLZqxrjOl+Kj+X+WnvlRvlWb9M0n4NOM5mkqak7/eQ9L6kZyQ9L+m8BuzvoMpeOCUdXPk5pdMXStq7vvus4RgTlae31rQbi8y3IKdln5JhvRp735Q0RtKeWY9n2TkRtA6fRERZzuu1IhzzjIgoA84Efl/fjSPi+IhYmE7+qtqyndc9POC/n8tAkk6+TsmzfhnJ/dv19VPghpzpxyJiO5Inn0dLGlKfnUXE5Ii4NJ08GOifs+zciHioATF+mUwERtQw/2qSvydrZE4ErZCkDSQ9nH5bf07SWr12pt9ip+V8Y941nb+vpCfSbf8qaYM8h5sG9Em3/Wm6r/mSfpzO6yTp70r6kp8v6Yh0/iOSyiVdCnRI47g1XfZh+vP23G/o6bfYQyW1kXS5pFlK+mv/QYaP5QnSjrskDVUyZsMz6c+t06daLwSOSGM5Io19QnqcZ2r6HFOHAv+oPjPtBmIO0Du92piZxnuXpK+msZwmaWE6/7Z03rGSrpG0M3AQcHkaU+/Kb/KSRkr6S85ns4eke9P39fodSjo3LeN8SeOlNTpuGp1+RvMlDU3Xz/q51Ki23jcj4nVgE0n/rz77swyK1ce2X033Ar4g6ZRrLnAXyRPlndNlXUmeUKx8uPDD9OfPgLPS922ADdN1pwGd0vm/AM6t4XgTSfv+B/4HeJKkI7TngE4kXQUvALYjOUnekLNtl/TnI0B5bkw561TGeAhwc/p+PZIeGTsAJwBnp/PXB2YDPWuI88Oc8v0VGJFOdwbapu/3Bu5I3x8LXJOz/SXA6PT9RiT9+XSqdoyewJyc6T2AKen7TYDXgAEkTwLvns6/EBibvn8LWL/yGNXjyP2sc6fT3/EbOb+r64HRDfwdbpwz/4/AgTm/oxvS97uR9p9f2+dSrezlJE891/Y3W0oN/fGTXFkd2tT/Uy3t1eK6mLAafRJJNQ0AktoBl0jajaQbgu7A14D/5GwzC5iQrnt3RMyVtDtJNcTj6ZfC9Ui+SdfkcklnA0tJejvdC7grkm/BSLoT2JXkm/IYSZeRnCQeq0e57geukrQ+SVXCtIj4RNK+wKCcOu4uQF/g1Wrbd5A0l+SkMwf4Z876N0vqS9KrY7tajr8vcJCk09Pp9kAP1uzbZ7P0M8i1q6RnSD77S0k6EdsoIipHE7uZJDFBkiBulXQ3cHctcawlkq4Z/gEcKOlvwP7Az4H6/A4rDZf0c6AjsDFJEr83XTYpPd40SZ2VtLPU9rnkxjcbOD5reXK8DWzegO2sDk4ErdO3SEZyGhIRn0t6jeSftUr6j70byQnkj5IuB94F/hkRR2U4xhkR8bfKCdXSgBkRL6V15PsBv5H0YERcmKUQEbFS0iMk3RAfQXpSIulv5ocR8UCeXXwSEWWSugBTSNoIriLpu2ZqRByipGH9kVq2F8m30xfrOgbVPluSNoIDqnaSHL82+5N82z4IOEfSgDrWre52kjK9A8yKiA/Sap2sv0MktQeuI7k6WyzpfNYsT/U+aoJaPhclHcKtq/Ykn6k1IrcRtE5dgLfTJDAc2LL6CpK2TNe5AfgDydB5M4FdJFXW+XeUtFXGY04DDk636URSrfOYpM2BjyPiT8CY9DjVfZ5emdTkNpJOt3Yl6ZiM9OdJldtI2io9Zo0i4n3gNOD0dJsuwJvp4mNzVv2ApIqs0gPADyvrzCVtV8PuXyK54qhVevx3lbbDAMcAj0r6CrBFREwl+Ta/EUm1Wq7qMeV6hOTz/D5JUoD6/w4rT/rL0raE6ncSVbbpfJ2kF8z3yfa5NNRWQLPtRO/LyomgdboVKJc0m+Tq4IUa1tkDmJtWYRwK/C4ilpKcGCdJmkdyUtkmywEj4mmSeuenSNoMboyIZ4BtgafSKpqzgItr2Hw8ME9pY3E1D5J8Y34okqEMIRlzYSHwtJJbEH9PnqvfNJZnSbo5/i3J1cnjJO0HlaYC/Ssbi0muHNqlsc1Pp6vv9yPg35Un3jp8h6Q6bR7J3UkXpsf+k5JeNZ8BroyI96ptdxtwRtoo27vasb8gudIZmf6kvr/D9Hg3kLTv3E1SZZjrXSW3844jqQKEDJ+LkhsBbqzpmEp633wC2FpShaTvpfPbkdx4MLu2eK1h3PuoWYFJOoSkGu7spo6lOUs/x+0j4pymjqWlcRuBWYFFxF2SNmnqOFqAtsD/NnUQLZGvCMzMWjm3EZiZtXJOBGZmrZwTgZlZK+dEYGbWyjkRmJm1cv8fY4LAQO9AuD8AAAAASUVORK5CYII=\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          },
          "output_type": "display_data"
        }
      ],
      "source": [
        "plot_roc_curve(xg,x_test,y_actual)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "dd6f727d",
      "metadata": {
        "id": "dd6f727d",
        "outputId": "cbfe8335-2724-45ad-f482-78319a2aa0e4"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "<sklearn.metrics._plot.roc_curve.RocCurveDisplay at 0x2ceb4522310>"
            ]
          },
          "execution_count": 49,
          "metadata": {},
          "output_type": "execute_result"
        },
        {
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          },
          "output_type": "display_data"
        }
      ],
      "source": [
        "plot_roc_curve(xg,x_test,xg_pred)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "95ff0c38",
      "metadata": {
        "id": "95ff0c38",
        "outputId": "4e626252-4d42-4c28-e11f-b4b420eca4bc"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "The test error of the model is 0.0060625\n",
            "\n"
          ]
        }
      ],
      "source": [
        "print(f\"The test error of the model is {metrics.mean_squared_error(y_actual,xg_pred)}\\n\")"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "fe36e5d6",
      "metadata": {
        "id": "fe36e5d6",
        "outputId": "03a716ec-3214-40c8-cda0-21ec0c3765c3"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Q.1.f\n",
            "\n"
          ]
        }
      ],
      "source": [
        "print('Q.1.f\\n')\n",
        "oversample = SMOTE()\n",
        "x_train_resample, y_train_resample = oversample.fit_resample(x_train,y_train)\n",
        "xgb_smote = XGBClassifier(objective='binary:logistic',alpha=best_alpha)\n",
        "xgb_smote.fit(x_train_resample,y_train_resample,eval_metric='rmse')\n",
        "xgb_smote_pred = xgb_smote.predict(x_test)\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "192b9365",
      "metadata": {
        "id": "192b9365",
        "outputId": "dd8f9499-547a-4388-c8b4-581d9355e356"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "<sklearn.metrics._plot.confusion_matrix.ConfusionMatrixDisplay at 0x2ce86403ca0>"
            ]
          },
          "execution_count": 52,
          "metadata": {},
          "output_type": "execute_result"
        },
        {
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 2 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          },
          "output_type": "display_data"
        }
      ],
      "source": [
        "train=train.replace({'class':{'pos':1,'neg':0}})\n",
        "test=test.replace({'class':{'pos':1,'neg':0}})\n",
        "y_train = train['class']\n",
        "y_actual = test['class']\n",
        "smote_mat=confusion_matrix(y_actual,xgb_smote_pred)\n",
        "smote_mat_dis = ConfusionMatrixDisplay(smote_mat)\n",
        "smote_mat_dis.plot()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "9e76d415",
      "metadata": {
        "id": "9e76d415",
        "outputId": "0c4b2eb8-9d5e-4d5f-efd0-001919eed38c"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Misclassification rate = 0.775%\n",
            "\n"
          ]
        }
      ],
      "source": [
        "tn3,fp3,fn3,tp3 = confusion_matrix(y_actual,xgb_smote_pred).ravel()\n",
        "# (tn,fp,fn,tp)\n",
        "mr3 = (fp3+fn3) / (tn3+tp3+fn3+fp3)\n",
        "# print(mr)\n",
        "print(f'Misclassification rate = {mr3*100}%\\n')"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "ece6cdb9",
      "metadata": {
        "id": "ece6cdb9",
        "outputId": "6b23863f-b4cf-48d1-fd73-e6091ac1f2b3"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "<sklearn.metrics._plot.roc_curve.RocCurveDisplay at 0x2ceb454ffd0>"
            ]
          },
          "execution_count": 54,
          "metadata": {},
          "output_type": "execute_result"
        },
        {
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          },
          "output_type": "display_data"
        }
      ],
      "source": [
        "plot_roc_curve(xgb_smote,x_train_resample,y_train_resample)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "d33f9f05",
      "metadata": {
        "id": "d33f9f05",
        "outputId": "b516960e-abd9-4988-af3e-fca33865d848"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "<sklearn.metrics._plot.roc_curve.RocCurveDisplay at 0x2ceaadc7fd0>"
            ]
          },
          "execution_count": 55,
          "metadata": {},
          "output_type": "execute_result"
        },
        {
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          },
          "output_type": "display_data"
        }
      ],
      "source": [
        "plot_roc_curve(xgb_smote,x_test,y_actual)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "7966e811",
      "metadata": {
        "id": "7966e811",
        "outputId": "f7603314-433c-49b8-a9e6-c35ef32f77b4"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "The test error of the  SMOTE-XGB model is 0.00775\n",
            "\n"
          ]
        }
      ],
      "source": [
        "print(f\"The test error of the  SMOTE-XGB model is {metrics.mean_squared_error(y_actual,xgb_smote_pred)}\\n\")"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "48c66b92",
      "metadata": {
        "id": "48c66b92"
      },
      "source": [
        "Thus, it can be inferred that the uncompensated model has a lesser test MSE as compared to SMOTE model."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "e468911a",
      "metadata": {
        "id": "e468911a",
        "outputId": "8b1b0e7e-8d46-485f-b384-4fded6427fe6"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "<sklearn.metrics._plot.roc_curve.RocCurveDisplay at 0x2cea461a8e0>"
            ]
          },
          "execution_count": 57,
          "metadata": {},
          "output_type": "execute_result"
        },
        {
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          },
          "output_type": "display_data"
        }
      ],
      "source": [
        "plot_roc_curve(xgb_smote,x_test,xgb_smote_pred)"
      ]
    }
  ],
  "metadata": {
    "kernelspec": {
      "display_name": "Python 3",
      "language": "python",
      "name": "python3"
    },
    "language_info": {
      "codemirror_mode": {
        "name": "ipython",
        "version": 3
      },
      "file_extension": ".py",
      "mimetype": "text/x-python",
      "name": "python",
      "nbconvert_exporter": "python",
      "pygments_lexer": "ipython3",
      "version": "3.8.8"
    },
    "colab": {
      "provenance": [],
      "include_colab_link": true
    }
  },
  "nbformat": 4,
  "nbformat_minor": 5
}