Trained Model/breast-cancer/Breast Cancer.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "5205de8b",
   "metadata": {},
   "source": [
    "# Breast Cancer\n",
    "Dataset kaggle:\n",
    "https://www.kaggle.com/datasets/uciml/breast-cancer-wisconsin-data\n",
    "\n",
    "Also can be found on UCI Machine Learning Repository: https://archive.ics.uci.edu/ml/datasets/Breast+Cancer+Wisconsin+%28Diagnostic%29\n",
    "\n",
    "Columns: \n",
    "\n",
    "0.  id                       \n",
    "1.   diagnosis                \n",
    "2.   radius_mean              \n",
    "3.   texture_mean             \n",
    "4.   perimeter_mean           \n",
    "5.   area_mean                \n",
    "6.   smoothness_mean          \n",
    "7.   compactness_mean         \n",
    "8.   concavity_mean           \n",
    "9.   concave points_mean      \n",
    "10.  symmetry_mean            \n",
    "11.  fractal_dimension_mean   \n",
    "12.  radius_se                \n",
    "13.  texture_se               \n",
    "14.  perimeter_se             \n",
    "15.  area_se                  \n",
    "16.  smoothness_se            \n",
    "17.  compactness_se           \n",
    "18.  concavity_se             \n",
    "19.  concave points_se        \n",
    "20.  symmetry_se              \n",
    "21.  fractal_dimension_se     \n",
    "22.  radius_worst             \n",
    "23.  texture_worst            \n",
    "24.  perimeter_worst          \n",
    "25.  area_worst               \n",
    "26.  smoothness_worst         \n",
    "27.  compactness_worst        \n",
    "28.  concavity_worst          \n",
    "29.  concave points_worst     \n",
    "30.  symmetry_worst           \n",
    "31.  fractal_dimension_worst  \n",
    "32.  Unnamed: 32              "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "16739453",
   "metadata": {},
   "source": [
    "## Import Libraries"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "272e9bba",
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "\n",
    "from sklearn.ensemble import RandomForestClassifier\n",
    "from sklearn.neighbors import KNeighborsClassifier\n",
    "from sklearn.svm import SVC\n",
    "from sklearn.linear_model import LogisticRegression"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8637752d",
   "metadata": {},
   "source": [
    "## Data Loading and EDA"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "0c126de6",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "\n",
       "    .dataframe thead th {\n",
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>id</th>\n",
       "      <th>diagnosis</th>\n",
       "      <th>radius_mean</th>\n",
       "      <th>texture_mean</th>\n",
       "      <th>perimeter_mean</th>\n",
       "      <th>area_mean</th>\n",
       "      <th>smoothness_mean</th>\n",
       "      <th>compactness_mean</th>\n",
       "      <th>concavity_mean</th>\n",
       "      <th>concave points_mean</th>\n",
       "      <th>...</th>\n",
       "      <th>texture_worst</th>\n",
       "      <th>perimeter_worst</th>\n",
       "      <th>area_worst</th>\n",
       "      <th>smoothness_worst</th>\n",
       "      <th>compactness_worst</th>\n",
       "      <th>concavity_worst</th>\n",
       "      <th>concave points_worst</th>\n",
       "      <th>symmetry_worst</th>\n",
       "      <th>fractal_dimension_worst</th>\n",
       "      <th>Unnamed: 32</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>842302</td>\n",
       "      <td>M</td>\n",
       "      <td>17.99</td>\n",
       "      <td>10.38</td>\n",
       "      <td>122.80</td>\n",
       "      <td>1001.0</td>\n",
       "      <td>0.11840</td>\n",
       "      <td>0.27760</td>\n",
       "      <td>0.3001</td>\n",
       "      <td>0.14710</td>\n",
       "      <td>...</td>\n",
       "      <td>17.33</td>\n",
       "      <td>184.60</td>\n",
       "      <td>2019.0</td>\n",
       "      <td>0.1622</td>\n",
       "      <td>0.6656</td>\n",
       "      <td>0.7119</td>\n",
       "      <td>0.2654</td>\n",
       "      <td>0.4601</td>\n",
       "      <td>0.11890</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>842517</td>\n",
       "      <td>M</td>\n",
       "      <td>20.57</td>\n",
       "      <td>17.77</td>\n",
       "      <td>132.90</td>\n",
       "      <td>1326.0</td>\n",
       "      <td>0.08474</td>\n",
       "      <td>0.07864</td>\n",
       "      <td>0.0869</td>\n",
       "      <td>0.07017</td>\n",
       "      <td>...</td>\n",
       "      <td>23.41</td>\n",
       "      <td>158.80</td>\n",
       "      <td>1956.0</td>\n",
       "      <td>0.1238</td>\n",
       "      <td>0.1866</td>\n",
       "      <td>0.2416</td>\n",
       "      <td>0.1860</td>\n",
       "      <td>0.2750</td>\n",
       "      <td>0.08902</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>84300903</td>\n",
       "      <td>M</td>\n",
       "      <td>19.69</td>\n",
       "      <td>21.25</td>\n",
       "      <td>130.00</td>\n",
       "      <td>1203.0</td>\n",
       "      <td>0.10960</td>\n",
       "      <td>0.15990</td>\n",
       "      <td>0.1974</td>\n",
       "      <td>0.12790</td>\n",
       "      <td>...</td>\n",
       "      <td>25.53</td>\n",
       "      <td>152.50</td>\n",
       "      <td>1709.0</td>\n",
       "      <td>0.1444</td>\n",
       "      <td>0.4245</td>\n",
       "      <td>0.4504</td>\n",
       "      <td>0.2430</td>\n",
       "      <td>0.3613</td>\n",
       "      <td>0.08758</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>84348301</td>\n",
       "      <td>M</td>\n",
       "      <td>11.42</td>\n",
       "      <td>20.38</td>\n",
       "      <td>77.58</td>\n",
       "      <td>386.1</td>\n",
       "      <td>0.14250</td>\n",
       "      <td>0.28390</td>\n",
       "      <td>0.2414</td>\n",
       "      <td>0.10520</td>\n",
       "      <td>...</td>\n",
       "      <td>26.50</td>\n",
       "      <td>98.87</td>\n",
       "      <td>567.7</td>\n",
       "      <td>0.2098</td>\n",
       "      <td>0.8663</td>\n",
       "      <td>0.6869</td>\n",
       "      <td>0.2575</td>\n",
       "      <td>0.6638</td>\n",
       "      <td>0.17300</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>84358402</td>\n",
       "      <td>M</td>\n",
       "      <td>20.29</td>\n",
       "      <td>14.34</td>\n",
       "      <td>135.10</td>\n",
       "      <td>1297.0</td>\n",
       "      <td>0.10030</td>\n",
       "      <td>0.13280</td>\n",
       "      <td>0.1980</td>\n",
       "      <td>0.10430</td>\n",
       "      <td>...</td>\n",
       "      <td>16.67</td>\n",
       "      <td>152.20</td>\n",
       "      <td>1575.0</td>\n",
       "      <td>0.1374</td>\n",
       "      <td>0.2050</td>\n",
       "      <td>0.4000</td>\n",
       "      <td>0.1625</td>\n",
       "      <td>0.2364</td>\n",
       "      <td>0.07678</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 33 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "         id diagnosis  radius_mean  texture_mean  perimeter_mean  area_mean  \\\n",
       "0    842302         M        17.99         10.38          122.80     1001.0   \n",
       "1    842517         M        20.57         17.77          132.90     1326.0   \n",
       "2  84300903         M        19.69         21.25          130.00     1203.0   \n",
       "3  84348301         M        11.42         20.38           77.58      386.1   \n",
       "4  84358402         M        20.29         14.34          135.10     1297.0   \n",
       "\n",
       "   smoothness_mean  compactness_mean  concavity_mean  concave points_mean  \\\n",
       "0          0.11840           0.27760          0.3001              0.14710   \n",
       "1          0.08474           0.07864          0.0869              0.07017   \n",
       "2          0.10960           0.15990          0.1974              0.12790   \n",
       "3          0.14250           0.28390          0.2414              0.10520   \n",
       "4          0.10030           0.13280          0.1980              0.10430   \n",
       "\n",
       "   ...  texture_worst  perimeter_worst  area_worst  smoothness_worst  \\\n",
       "0  ...          17.33           184.60      2019.0            0.1622   \n",
       "1  ...          23.41           158.80      1956.0            0.1238   \n",
       "2  ...          25.53           152.50      1709.0            0.1444   \n",
       "3  ...          26.50            98.87       567.7            0.2098   \n",
       "4  ...          16.67           152.20      1575.0            0.1374   \n",
       "\n",
       "   compactness_worst  concavity_worst  concave points_worst  symmetry_worst  \\\n",
       "0             0.6656           0.7119                0.2654          0.4601   \n",
       "1             0.1866           0.2416                0.1860          0.2750   \n",
       "2             0.4245           0.4504                0.2430          0.3613   \n",
       "3             0.8663           0.6869                0.2575          0.6638   \n",
       "4             0.2050           0.4000                0.1625          0.2364   \n",
       "\n",
       "   fractal_dimension_worst  Unnamed: 32  \n",
       "0                  0.11890          NaN  \n",
       "1                  0.08902          NaN  \n",
       "2                  0.08758          NaN  \n",
       "3                  0.17300          NaN  \n",
       "4                  0.07678          NaN  \n",
       "\n",
       "[5 rows x 33 columns]"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.read_csv(\"breast_cancer.csv\")\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "ecb15aaa",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(569, 33)"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "4d5aac1d",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 569 entries, 0 to 568\n",
      "Data columns (total 33 columns):\n",
      " #   Column                   Non-Null Count  Dtype  \n",
      "---  ------                   --------------  -----  \n",
      " 0   id                       569 non-null    int64  \n",
      " 1   diagnosis                569 non-null    object \n",
      " 2   radius_mean              569 non-null    float64\n",
      " 3   texture_mean             569 non-null    float64\n",
      " 4   perimeter_mean           569 non-null    float64\n",
      " 5   area_mean                569 non-null    float64\n",
      " 6   smoothness_mean          569 non-null    float64\n",
      " 7   compactness_mean         569 non-null    float64\n",
      " 8   concavity_mean           569 non-null    float64\n",
      " 9   concave points_mean      569 non-null    float64\n",
      " 10  symmetry_mean            569 non-null    float64\n",
      " 11  fractal_dimension_mean   569 non-null    float64\n",
      " 12  radius_se                569 non-null    float64\n",
      " 13  texture_se               569 non-null    float64\n",
      " 14  perimeter_se             569 non-null    float64\n",
      " 15  area_se                  569 non-null    float64\n",
      " 16  smoothness_se            569 non-null    float64\n",
      " 17  compactness_se           569 non-null    float64\n",
      " 18  concavity_se             569 non-null    float64\n",
      " 19  concave points_se        569 non-null    float64\n",
      " 20  symmetry_se              569 non-null    float64\n",
      " 21  fractal_dimension_se     569 non-null    float64\n",
      " 22  radius_worst             569 non-null    float64\n",
      " 23  texture_worst            569 non-null    float64\n",
      " 24  perimeter_worst          569 non-null    float64\n",
      " 25  area_worst               569 non-null    float64\n",
      " 26  smoothness_worst         569 non-null    float64\n",
      " 27  compactness_worst        569 non-null    float64\n",
      " 28  concavity_worst          569 non-null    float64\n",
      " 29  concave points_worst     569 non-null    float64\n",
      " 30  symmetry_worst           569 non-null    float64\n",
      " 31  fractal_dimension_worst  569 non-null    float64\n",
      " 32  Unnamed: 32              0 non-null      float64\n",
      "dtypes: float64(31), int64(1), object(1)\n",
      "memory usage: 146.8+ KB\n"
     ]
    }
   ],
   "source": [
    "df.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "d42b50fe",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>id</th>\n",
       "      <th>radius_mean</th>\n",
       "      <th>texture_mean</th>\n",
       "      <th>perimeter_mean</th>\n",
       "      <th>area_mean</th>\n",
       "      <th>smoothness_mean</th>\n",
       "      <th>compactness_mean</th>\n",
       "      <th>concavity_mean</th>\n",
       "      <th>concave points_mean</th>\n",
       "      <th>symmetry_mean</th>\n",
       "      <th>...</th>\n",
       "      <th>texture_worst</th>\n",
       "      <th>perimeter_worst</th>\n",
       "      <th>area_worst</th>\n",
       "      <th>smoothness_worst</th>\n",
       "      <th>compactness_worst</th>\n",
       "      <th>concavity_worst</th>\n",
       "      <th>concave points_worst</th>\n",
       "      <th>symmetry_worst</th>\n",
       "      <th>fractal_dimension_worst</th>\n",
       "      <th>Unnamed: 32</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>5.690000e+02</td>\n",
       "      <td>569.000000</td>\n",
       "      <td>569.000000</td>\n",
       "      <td>569.000000</td>\n",
       "      <td>569.000000</td>\n",
       "      <td>569.000000</td>\n",
       "      <td>569.000000</td>\n",
       "      <td>569.000000</td>\n",
       "      <td>569.000000</td>\n",
       "      <td>569.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>569.000000</td>\n",
       "      <td>569.000000</td>\n",
       "      <td>569.000000</td>\n",
       "      <td>569.000000</td>\n",
       "      <td>569.000000</td>\n",
       "      <td>569.000000</td>\n",
       "      <td>569.000000</td>\n",
       "      <td>569.000000</td>\n",
       "      <td>569.000000</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>3.037183e+07</td>\n",
       "      <td>14.127292</td>\n",
       "      <td>19.289649</td>\n",
       "      <td>91.969033</td>\n",
       "      <td>654.889104</td>\n",
       "      <td>0.096360</td>\n",
       "      <td>0.104341</td>\n",
       "      <td>0.088799</td>\n",
       "      <td>0.048919</td>\n",
       "      <td>0.181162</td>\n",
       "      <td>...</td>\n",
       "      <td>25.677223</td>\n",
       "      <td>107.261213</td>\n",
       "      <td>880.583128</td>\n",
       "      <td>0.132369</td>\n",
       "      <td>0.254265</td>\n",
       "      <td>0.272188</td>\n",
       "      <td>0.114606</td>\n",
       "      <td>0.290076</td>\n",
       "      <td>0.083946</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>1.250206e+08</td>\n",
       "      <td>3.524049</td>\n",
       "      <td>4.301036</td>\n",
       "      <td>24.298981</td>\n",
       "      <td>351.914129</td>\n",
       "      <td>0.014064</td>\n",
       "      <td>0.052813</td>\n",
       "      <td>0.079720</td>\n",
       "      <td>0.038803</td>\n",
       "      <td>0.027414</td>\n",
       "      <td>...</td>\n",
       "      <td>6.146258</td>\n",
       "      <td>33.602542</td>\n",
       "      <td>569.356993</td>\n",
       "      <td>0.022832</td>\n",
       "      <td>0.157336</td>\n",
       "      <td>0.208624</td>\n",
       "      <td>0.065732</td>\n",
       "      <td>0.061867</td>\n",
       "      <td>0.018061</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>8.670000e+03</td>\n",
       "      <td>6.981000</td>\n",
       "      <td>9.710000</td>\n",
       "      <td>43.790000</td>\n",
       "      <td>143.500000</td>\n",
       "      <td>0.052630</td>\n",
       "      <td>0.019380</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.106000</td>\n",
       "      <td>...</td>\n",
       "      <td>12.020000</td>\n",
       "      <td>50.410000</td>\n",
       "      <td>185.200000</td>\n",
       "      <td>0.071170</td>\n",
       "      <td>0.027290</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.156500</td>\n",
       "      <td>0.055040</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>8.692180e+05</td>\n",
       "      <td>11.700000</td>\n",
       "      <td>16.170000</td>\n",
       "      <td>75.170000</td>\n",
       "      <td>420.300000</td>\n",
       "      <td>0.086370</td>\n",
       "      <td>0.064920</td>\n",
       "      <td>0.029560</td>\n",
       "      <td>0.020310</td>\n",
       "      <td>0.161900</td>\n",
       "      <td>...</td>\n",
       "      <td>21.080000</td>\n",
       "      <td>84.110000</td>\n",
       "      <td>515.300000</td>\n",
       "      <td>0.116600</td>\n",
       "      <td>0.147200</td>\n",
       "      <td>0.114500</td>\n",
       "      <td>0.064930</td>\n",
       "      <td>0.250400</td>\n",
       "      <td>0.071460</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>9.060240e+05</td>\n",
       "      <td>13.370000</td>\n",
       "      <td>18.840000</td>\n",
       "      <td>86.240000</td>\n",
       "      <td>551.100000</td>\n",
       "      <td>0.095870</td>\n",
       "      <td>0.092630</td>\n",
       "      <td>0.061540</td>\n",
       "      <td>0.033500</td>\n",
       "      <td>0.179200</td>\n",
       "      <td>...</td>\n",
       "      <td>25.410000</td>\n",
       "      <td>97.660000</td>\n",
       "      <td>686.500000</td>\n",
       "      <td>0.131300</td>\n",
       "      <td>0.211900</td>\n",
       "      <td>0.226700</td>\n",
       "      <td>0.099930</td>\n",
       "      <td>0.282200</td>\n",
       "      <td>0.080040</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>8.813129e+06</td>\n",
       "      <td>15.780000</td>\n",
       "      <td>21.800000</td>\n",
       "      <td>104.100000</td>\n",
       "      <td>782.700000</td>\n",
       "      <td>0.105300</td>\n",
       "      <td>0.130400</td>\n",
       "      <td>0.130700</td>\n",
       "      <td>0.074000</td>\n",
       "      <td>0.195700</td>\n",
       "      <td>...</td>\n",
       "      <td>29.720000</td>\n",
       "      <td>125.400000</td>\n",
       "      <td>1084.000000</td>\n",
       "      <td>0.146000</td>\n",
       "      <td>0.339100</td>\n",
       "      <td>0.382900</td>\n",
       "      <td>0.161400</td>\n",
       "      <td>0.317900</td>\n",
       "      <td>0.092080</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>9.113205e+08</td>\n",
       "      <td>28.110000</td>\n",
       "      <td>39.280000</td>\n",
       "      <td>188.500000</td>\n",
       "      <td>2501.000000</td>\n",
       "      <td>0.163400</td>\n",
       "      <td>0.345400</td>\n",
       "      <td>0.426800</td>\n",
       "      <td>0.201200</td>\n",
       "      <td>0.304000</td>\n",
       "      <td>...</td>\n",
       "      <td>49.540000</td>\n",
       "      <td>251.200000</td>\n",
       "      <td>4254.000000</td>\n",
       "      <td>0.222600</td>\n",
       "      <td>1.058000</td>\n",
       "      <td>1.252000</td>\n",
       "      <td>0.291000</td>\n",
       "      <td>0.663800</td>\n",
       "      <td>0.207500</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>8 rows × 32 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                 id  radius_mean  texture_mean  perimeter_mean    area_mean  \\\n",
       "count  5.690000e+02   569.000000    569.000000      569.000000   569.000000   \n",
       "mean   3.037183e+07    14.127292     19.289649       91.969033   654.889104   \n",
       "std    1.250206e+08     3.524049      4.301036       24.298981   351.914129   \n",
       "min    8.670000e+03     6.981000      9.710000       43.790000   143.500000   \n",
       "25%    8.692180e+05    11.700000     16.170000       75.170000   420.300000   \n",
       "50%    9.060240e+05    13.370000     18.840000       86.240000   551.100000   \n",
       "75%    8.813129e+06    15.780000     21.800000      104.100000   782.700000   \n",
       "max    9.113205e+08    28.110000     39.280000      188.500000  2501.000000   \n",
       "\n",
       "       smoothness_mean  compactness_mean  concavity_mean  concave points_mean  \\\n",
       "count       569.000000        569.000000      569.000000           569.000000   \n",
       "mean          0.096360          0.104341        0.088799             0.048919   \n",
       "std           0.014064          0.052813        0.079720             0.038803   \n",
       "min           0.052630          0.019380        0.000000             0.000000   \n",
       "25%           0.086370          0.064920        0.029560             0.020310   \n",
       "50%           0.095870          0.092630        0.061540             0.033500   \n",
       "75%           0.105300          0.130400        0.130700             0.074000   \n",
       "max           0.163400          0.345400        0.426800             0.201200   \n",
       "\n",
       "       symmetry_mean  ...  texture_worst  perimeter_worst   area_worst  \\\n",
       "count     569.000000  ...     569.000000       569.000000   569.000000   \n",
       "mean        0.181162  ...      25.677223       107.261213   880.583128   \n",
       "std         0.027414  ...       6.146258        33.602542   569.356993   \n",
       "min         0.106000  ...      12.020000        50.410000   185.200000   \n",
       "25%         0.161900  ...      21.080000        84.110000   515.300000   \n",
       "50%         0.179200  ...      25.410000        97.660000   686.500000   \n",
       "75%         0.195700  ...      29.720000       125.400000  1084.000000   \n",
       "max         0.304000  ...      49.540000       251.200000  4254.000000   \n",
       "\n",
       "       smoothness_worst  compactness_worst  concavity_worst  \\\n",
       "count        569.000000         569.000000       569.000000   \n",
       "mean           0.132369           0.254265         0.272188   \n",
       "std            0.022832           0.157336         0.208624   \n",
       "min            0.071170           0.027290         0.000000   \n",
       "25%            0.116600           0.147200         0.114500   \n",
       "50%            0.131300           0.211900         0.226700   \n",
       "75%            0.146000           0.339100         0.382900   \n",
       "max            0.222600           1.058000         1.252000   \n",
       "\n",
       "       concave points_worst  symmetry_worst  fractal_dimension_worst  \\\n",
       "count            569.000000      569.000000               569.000000   \n",
       "mean               0.114606        0.290076                 0.083946   \n",
       "std                0.065732        0.061867                 0.018061   \n",
       "min                0.000000        0.156500                 0.055040   \n",
       "25%                0.064930        0.250400                 0.071460   \n",
       "50%                0.099930        0.282200                 0.080040   \n",
       "75%                0.161400        0.317900                 0.092080   \n",
       "max                0.291000        0.663800                 0.207500   \n",
       "\n",
       "       Unnamed: 32  \n",
       "count          0.0  \n",
       "mean           NaN  \n",
       "std            NaN  \n",
       "min            NaN  \n",
       "25%            NaN  \n",
       "50%            NaN  \n",
       "75%            NaN  \n",
       "max            NaN  \n",
       "\n",
       "[8 rows x 32 columns]"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.describe()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "598923bd",
   "metadata": {},
   "source": [
    "**Remove 'id' and 'Unnamed' columns**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "0e81cef7",
   "metadata": {},
   "outputs": [],
   "source": [
    "df.drop(['id', 'Unnamed: 32'], axis=1, inplace=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e50d836d",
   "metadata": {},
   "source": [
    "**Check The null Values**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "f7ab056f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "diagnosis                  0\n",
       "radius_mean                0\n",
       "texture_mean               0\n",
       "perimeter_mean             0\n",
       "area_mean                  0\n",
       "smoothness_mean            0\n",
       "compactness_mean           0\n",
       "concavity_mean             0\n",
       "concave points_mean        0\n",
       "symmetry_mean              0\n",
       "fractal_dimension_mean     0\n",
       "radius_se                  0\n",
       "texture_se                 0\n",
       "perimeter_se               0\n",
       "area_se                    0\n",
       "smoothness_se              0\n",
       "compactness_se             0\n",
       "concavity_se               0\n",
       "concave points_se          0\n",
       "symmetry_se                0\n",
       "fractal_dimension_se       0\n",
       "radius_worst               0\n",
       "texture_worst              0\n",
       "perimeter_worst            0\n",
       "area_worst                 0\n",
       "smoothness_worst           0\n",
       "compactness_worst          0\n",
       "concavity_worst            0\n",
       "concave points_worst       0\n",
       "symmetry_worst             0\n",
       "fractal_dimension_worst    0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.isnull().sum()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4306b051",
   "metadata": {},
   "source": [
    "**Checking wheather imbalance**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "d4fdf654",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['M', 'B'], dtype=object)"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.diagnosis.unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "a6a59639",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "B    0.627417\n",
       "M    0.372583\n",
       "Name: diagnosis, dtype: float64"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.diagnosis.value_counts(normalize=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "f27e8160",
   "metadata": {},
   "outputs": [
    {
     "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": [
    "df.replace({'M':1,'B':0}, inplace=True)\n",
    "df.diagnosis.value_counts().plot(kind=\"bar\", color=[\"salmon\", \"lightblue\"]);"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "71a19468",
   "metadata": {},
   "source": [
    "**Checking the distribution using histograms**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "818a4f1d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1296x864 with 36 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df.hist(figsize=(18,12));"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "712ebd71",
   "metadata": {},
   "source": [
    "**Checking the outliers: We remove outliers or using ML alg which are not sensitive to outliers**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "1865669f",
   "metadata": {},
   "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>diagnosis</th>\n",
       "      <th>radius_mean</th>\n",
       "      <th>texture_mean</th>\n",
       "      <th>perimeter_mean</th>\n",
       "      <th>area_mean</th>\n",
       "      <th>smoothness_mean</th>\n",
       "      <th>compactness_mean</th>\n",
       "      <th>concavity_mean</th>\n",
       "      <th>concave points_mean</th>\n",
       "      <th>symmetry_mean</th>\n",
       "      <th>...</th>\n",
       "      <th>radius_worst</th>\n",
       "      <th>texture_worst</th>\n",
       "      <th>perimeter_worst</th>\n",
       "      <th>area_worst</th>\n",
       "      <th>smoothness_worst</th>\n",
       "      <th>compactness_worst</th>\n",
       "      <th>concavity_worst</th>\n",
       "      <th>concave points_worst</th>\n",
       "      <th>symmetry_worst</th>\n",
       "      <th>fractal_dimension_worst</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>569.000000</td>\n",
       "      <td>569.000000</td>\n",
       "      <td>569.000000</td>\n",
       "      <td>569.000000</td>\n",
       "      <td>569.000000</td>\n",
       "      <td>569.000000</td>\n",
       "      <td>569.000000</td>\n",
       "      <td>569.000000</td>\n",
       "      <td>569.000000</td>\n",
       "      <td>569.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>569.000000</td>\n",
       "      <td>569.000000</td>\n",
       "      <td>569.000000</td>\n",
       "      <td>569.000000</td>\n",
       "      <td>569.000000</td>\n",
       "      <td>569.000000</td>\n",
       "      <td>569.000000</td>\n",
       "      <td>569.000000</td>\n",
       "      <td>569.000000</td>\n",
       "      <td>569.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>0.372583</td>\n",
       "      <td>14.127292</td>\n",
       "      <td>19.289649</td>\n",
       "      <td>91.969033</td>\n",
       "      <td>654.889104</td>\n",
       "      <td>0.096360</td>\n",
       "      <td>0.104341</td>\n",
       "      <td>0.088799</td>\n",
       "      <td>0.048919</td>\n",
       "      <td>0.181162</td>\n",
       "      <td>...</td>\n",
       "      <td>16.269190</td>\n",
       "      <td>25.677223</td>\n",
       "      <td>107.261213</td>\n",
       "      <td>880.583128</td>\n",
       "      <td>0.132369</td>\n",
       "      <td>0.254265</td>\n",
       "      <td>0.272188</td>\n",
       "      <td>0.114606</td>\n",
       "      <td>0.290076</td>\n",
       "      <td>0.083946</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>0.483918</td>\n",
       "      <td>3.524049</td>\n",
       "      <td>4.301036</td>\n",
       "      <td>24.298981</td>\n",
       "      <td>351.914129</td>\n",
       "      <td>0.014064</td>\n",
       "      <td>0.052813</td>\n",
       "      <td>0.079720</td>\n",
       "      <td>0.038803</td>\n",
       "      <td>0.027414</td>\n",
       "      <td>...</td>\n",
       "      <td>4.833242</td>\n",
       "      <td>6.146258</td>\n",
       "      <td>33.602542</td>\n",
       "      <td>569.356993</td>\n",
       "      <td>0.022832</td>\n",
       "      <td>0.157336</td>\n",
       "      <td>0.208624</td>\n",
       "      <td>0.065732</td>\n",
       "      <td>0.061867</td>\n",
       "      <td>0.018061</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>6.981000</td>\n",
       "      <td>9.710000</td>\n",
       "      <td>43.790000</td>\n",
       "      <td>143.500000</td>\n",
       "      <td>0.052630</td>\n",
       "      <td>0.019380</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.106000</td>\n",
       "      <td>...</td>\n",
       "      <td>7.930000</td>\n",
       "      <td>12.020000</td>\n",
       "      <td>50.410000</td>\n",
       "      <td>185.200000</td>\n",
       "      <td>0.071170</td>\n",
       "      <td>0.027290</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.156500</td>\n",
       "      <td>0.055040</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>11.700000</td>\n",
       "      <td>16.170000</td>\n",
       "      <td>75.170000</td>\n",
       "      <td>420.300000</td>\n",
       "      <td>0.086370</td>\n",
       "      <td>0.064920</td>\n",
       "      <td>0.029560</td>\n",
       "      <td>0.020310</td>\n",
       "      <td>0.161900</td>\n",
       "      <td>...</td>\n",
       "      <td>13.010000</td>\n",
       "      <td>21.080000</td>\n",
       "      <td>84.110000</td>\n",
       "      <td>515.300000</td>\n",
       "      <td>0.116600</td>\n",
       "      <td>0.147200</td>\n",
       "      <td>0.114500</td>\n",
       "      <td>0.064930</td>\n",
       "      <td>0.250400</td>\n",
       "      <td>0.071460</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>13.370000</td>\n",
       "      <td>18.840000</td>\n",
       "      <td>86.240000</td>\n",
       "      <td>551.100000</td>\n",
       "      <td>0.095870</td>\n",
       "      <td>0.092630</td>\n",
       "      <td>0.061540</td>\n",
       "      <td>0.033500</td>\n",
       "      <td>0.179200</td>\n",
       "      <td>...</td>\n",
       "      <td>14.970000</td>\n",
       "      <td>25.410000</td>\n",
       "      <td>97.660000</td>\n",
       "      <td>686.500000</td>\n",
       "      <td>0.131300</td>\n",
       "      <td>0.211900</td>\n",
       "      <td>0.226700</td>\n",
       "      <td>0.099930</td>\n",
       "      <td>0.282200</td>\n",
       "      <td>0.080040</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>15.780000</td>\n",
       "      <td>21.800000</td>\n",
       "      <td>104.100000</td>\n",
       "      <td>782.700000</td>\n",
       "      <td>0.105300</td>\n",
       "      <td>0.130400</td>\n",
       "      <td>0.130700</td>\n",
       "      <td>0.074000</td>\n",
       "      <td>0.195700</td>\n",
       "      <td>...</td>\n",
       "      <td>18.790000</td>\n",
       "      <td>29.720000</td>\n",
       "      <td>125.400000</td>\n",
       "      <td>1084.000000</td>\n",
       "      <td>0.146000</td>\n",
       "      <td>0.339100</td>\n",
       "      <td>0.382900</td>\n",
       "      <td>0.161400</td>\n",
       "      <td>0.317900</td>\n",
       "      <td>0.092080</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>28.110000</td>\n",
       "      <td>39.280000</td>\n",
       "      <td>188.500000</td>\n",
       "      <td>2501.000000</td>\n",
       "      <td>0.163400</td>\n",
       "      <td>0.345400</td>\n",
       "      <td>0.426800</td>\n",
       "      <td>0.201200</td>\n",
       "      <td>0.304000</td>\n",
       "      <td>...</td>\n",
       "      <td>36.040000</td>\n",
       "      <td>49.540000</td>\n",
       "      <td>251.200000</td>\n",
       "      <td>4254.000000</td>\n",
       "      <td>0.222600</td>\n",
       "      <td>1.058000</td>\n",
       "      <td>1.252000</td>\n",
       "      <td>0.291000</td>\n",
       "      <td>0.663800</td>\n",
       "      <td>0.207500</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>8 rows × 31 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        diagnosis  radius_mean  texture_mean  perimeter_mean    area_mean  \\\n",
       "count  569.000000   569.000000    569.000000      569.000000   569.000000   \n",
       "mean     0.372583    14.127292     19.289649       91.969033   654.889104   \n",
       "std      0.483918     3.524049      4.301036       24.298981   351.914129   \n",
       "min      0.000000     6.981000      9.710000       43.790000   143.500000   \n",
       "25%      0.000000    11.700000     16.170000       75.170000   420.300000   \n",
       "50%      0.000000    13.370000     18.840000       86.240000   551.100000   \n",
       "75%      1.000000    15.780000     21.800000      104.100000   782.700000   \n",
       "max      1.000000    28.110000     39.280000      188.500000  2501.000000   \n",
       "\n",
       "       smoothness_mean  compactness_mean  concavity_mean  concave points_mean  \\\n",
       "count       569.000000        569.000000      569.000000           569.000000   \n",
       "mean          0.096360          0.104341        0.088799             0.048919   \n",
       "std           0.014064          0.052813        0.079720             0.038803   \n",
       "min           0.052630          0.019380        0.000000             0.000000   \n",
       "25%           0.086370          0.064920        0.029560             0.020310   \n",
       "50%           0.095870          0.092630        0.061540             0.033500   \n",
       "75%           0.105300          0.130400        0.130700             0.074000   \n",
       "max           0.163400          0.345400        0.426800             0.201200   \n",
       "\n",
       "       symmetry_mean  ...  radius_worst  texture_worst  perimeter_worst  \\\n",
       "count     569.000000  ...    569.000000     569.000000       569.000000   \n",
       "mean        0.181162  ...     16.269190      25.677223       107.261213   \n",
       "std         0.027414  ...      4.833242       6.146258        33.602542   \n",
       "min         0.106000  ...      7.930000      12.020000        50.410000   \n",
       "25%         0.161900  ...     13.010000      21.080000        84.110000   \n",
       "50%         0.179200  ...     14.970000      25.410000        97.660000   \n",
       "75%         0.195700  ...     18.790000      29.720000       125.400000   \n",
       "max         0.304000  ...     36.040000      49.540000       251.200000   \n",
       "\n",
       "        area_worst  smoothness_worst  compactness_worst  concavity_worst  \\\n",
       "count   569.000000        569.000000         569.000000       569.000000   \n",
       "mean    880.583128          0.132369           0.254265         0.272188   \n",
       "std     569.356993          0.022832           0.157336         0.208624   \n",
       "min     185.200000          0.071170           0.027290         0.000000   \n",
       "25%     515.300000          0.116600           0.147200         0.114500   \n",
       "50%     686.500000          0.131300           0.211900         0.226700   \n",
       "75%    1084.000000          0.146000           0.339100         0.382900   \n",
       "max    4254.000000          0.222600           1.058000         1.252000   \n",
       "\n",
       "       concave points_worst  symmetry_worst  fractal_dimension_worst  \n",
       "count            569.000000      569.000000               569.000000  \n",
       "mean               0.114606        0.290076                 0.083946  \n",
       "std                0.065732        0.061867                 0.018061  \n",
       "min                0.000000        0.156500                 0.055040  \n",
       "25%                0.064930        0.250400                 0.071460  \n",
       "50%                0.099930        0.282200                 0.080040  \n",
       "75%                0.161400        0.317900                 0.092080  \n",
       "max                0.291000        0.663800                 0.207500  \n",
       "\n",
       "[8 rows x 31 columns]"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "c8eada92",
   "metadata": {},
   "outputs": [
    {
     "data": {
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xadYoAgAAAMbS6/Vy0UUX5eSTT86dd96Zs846K/fdd1+uvvrqpktjQowoAgAAAJ6wqqqaLoHjQFAEAAAAjKXf7+fGG2/MHXfckVtvvTV33HFHbrzxRotZTxFBEQAAADAWi1lPP0ERAAAAMBaLWU8/QREAAAAwll6vl263m+Xl5aytrWV5eTndbje9Xq/p0pgQVz0DAAAAxtLpdJIkS0tLGY1GabVa6ff7h9vZ+gRFAAAAwNg6nU46nU5WVlaysLDQdDlMmKlnAAAAACQRFAEAAABQExQBAAAAkERQBAAAAEBNUAQAAABAEkERAAAAADVBEQAAAABJBEUAAAAA1ARFAAAAACQRFAEAAABQExQBAAAAYxsOh5mbm8vi4mLm5uYyHA6bLokJmm26AAAAAGBrGA6H6fV6GQwGWV9fz8zMTLrdbpKk0+k0XB2TYEQRAAAAMJZ+v5/BYJB2u53Z2dm02+0MBoP0+/2mS2NCBEUAAADAWEajUebn549qm5+fz2g0aqgiJk1QBAAAAIyl1WpldXX1qLbV1dW0Wq2GKmLSBEUAAADAWHq9XrrdbpaXl7O2tpbl5eV0u930er2mS2NCLGYNAAAAjOXQgtVLS0sZjUZptVrp9/sWsp4igiIAAABgbJ1OJ51OJysrK1lYWGi6HCbM1DMAAAAAkgiKAAAAAKgJigAAAABIIigCAAAAoCYoAgAAACCJoAgAAACAmqAIAAAAgCSCIgAAAABqgiIAAAAAkgiKAAAAAKgJigAAAABIIigCAAAAnoDhcJi5ubksLi5mbm4uw+Gw6ZKYoNmmCwAAAAC2huFwmF6vl8FgkPX19czMzKTb7SZJOp1Ow9UxCUYUAQAAAGPp9/sZDAZpt9uZnZ1Nu93OYDBIv99vujQmRFAEAAAAjGU0GmV+fv6otvn5+YxGo4YqYtJMPQMAAADG0mq18ta3vjU33XRTRqNRWq1WXvGKV6TVajVdGhMiKAIAAADG0m63c+WVV+bKK6/Mrl27sm/fvuzZsyeXXHJJ06UxIYIiAAAAYCzLy8vZs2dP9u7de3hE0Z49e3LTTTc1XRoTIigCAAAAxjIajXLbbbflbW97W1ZWVrKwsJCDBw/mHe94R9OlMSEWswYAAADG0mq1srq6elTb6uqqNYqmiKAIAAAAGEuv10u3283y8nLW1tayvLycbrebXq/XdGlMiKlnAAAAwFg6nU6SZGlp6fAaRf1+/3A7W5+gCAAAABhbp9NJp9M5vEYR08XUMwAAAGBsw+Ewc3NzWVxczNzcXIbDYdMlMUFGFAEAAABjGQ6H6fV6GQwGWV9fz8zMTLrdbpKYfjYljCgCAAAAxtLv9zMYDNJutzM7O5t2u53BYJB+v990aUyIoAgAAAAYy2g0yvz8/FFt8/PzGY1GDVXEpAmKAAAAgLG0Wq2srq4e1ba6uppWq9VQRUyaoAgAAAAYS6/XS7fbzfLyctbW1rK8vJxut5ter9d0aUyIxawBAACAsRxasHppaSmj0SitViv9ft9C1lNEUAQAAACMrdPppNPpZGVlJQsLC02Xw4SZegYwJZaWlrJjx4602+3s2LEjS0tLTZcEAMAUGg6HmZuby+LiYubm5jIcDpsuiQkyoghgCiwtLeXaa6/NlVdemV27dmXfvn3Zs2dPkuSaa65puDoAAKbFcDhMr9fLYDDI+vp6ZmZm0u12k8T0sylhRBHAFLj++utz5ZVX5k1velN27NiRN73pTbnyyitz/fXXN10aAABTpN/vZzAYpN1uZ3Z2Nu12O4PBIP1+v+nSmBBBEcAUOHDgQC655JKj2i655JIcOHCgoYoAAJhGo9Eod91111FTz+66666MRqOmS2NCTD0DmAInnnhirr322rzpTW863HbttdfmxBNPbLAqAACmzemnn549e/bkN37jNw5PPXv1q1+d008/venSmBBBEcAUeN3rXnd4TaJdu3blXe96V/bs2fPXRhkBAMB3qqqqx7zP1iYoApgChxasvvzyy3PgwIGceOKJueSSSyxkDQDARH31q1/Ne9/73iwtLWU0GqXVauWqq67Kz/zMzzRdGhNijSKAKXHNNdfkwQcfzPLych588EEhEQAAE9dqtXLGGWfk9ttvzy233JLbb789Z5xxRlqtVtOlMSGCIgAAAGAsvV4v3W43y8vLWVtby/Lycrrdbnq9XtOlMSGmngEAAABj6XQ6SXLU1LN+v3+4na1PUAQAAACMrdPppNPpZGVlJQsLC02Xw4SZegYAAABAEkERAAAAADVBEQAAAABJBEUAAADAE7C0tJQdO3ak3W5nx44dWVpaarokJshi1gAAAMBYlpaWcu211+bKK6/Mrl27sm/fvuzZsydJcs011zRcHZNgRBEAAAAwluuvvz4XXXRR9u7dmwsuuCB79+7NRRddlOuvv77p0pgQI4oAAACAsRw4cCC///u/n71792Z9fT0zMzO5+OKLc+DAgaZLY0KMKAIAAADGUkrJ+eefn3a7ndnZ2bTb7Zx//vkppTRdGhNiRBEAAAAwtuuuuy7Pe97zsmvXrrzrXe/Kdddd13RJTJCgCAAAABjLrl27ctJJJ+Utb3lLqqpKKSUvetGL8sADDzRdGhNi6hkAAAAwlna7nc985jN55zvfmQ9/+MN55zvfmc985jNpt9tNl8aEGFEEAAAAjGV5eTl79uzJ3r17MxqN0mq1smfPntx0001Nl8aECIoAAACAsYxGo9x2221529velpWVlSwsLOTgwYN5xzve0XRpTIipZwAAAMBYWq1WVldXj2pbXV1Nq9VqqCImTVAEAAAAjKXX66Xb7WZ5eTlra2tZXl5Ot9tNr9drujQmxNQzAAAAYCydTidJsrS0dHiNon6/f7idrU9QBAAAAIyt0+mk0+kcXqOI6WLqGQAAAABJBEUAAAAA1ARFAAAAACQRFAEAAABQExQBAAAAkERQBAAAAEBNUAQAAABAEkERwNQYDoeZm5vL4uJi5ubmMhwOmy4JAADYYmabLgCA79xwOEyv18tgMMj6+npmZmbS7XaTJJ1Op+HqAACArcKIIoAp0O/3MxgM0m63Mzs7m3a7ncFgkH6/33RpAADAFiIoApgCo9Eo8/PzR7XNz89nNBo1VBEAANNqaWkpO3bsSLvdzo4dO7K0tNR0SUyQqWcAU6DVamV1dTXtdvtw2+rqalqtVoNVAQAwbZaWlnLttdfmyiuvzK5du7Jv377s2bMnSXLNNdc0XB2TYEQRwBTo9XrpdrtZXl7O2tpalpeX0+120+v1mi4NAIApcv311+eiiy7K3r17c8EFF2Tv3r256KKLcv311zddGhNiRBHAFDi0YPXS0lJGo1FarVb6/b6FrAEAmKgDBw5kdXU1v/qrv3r4Iiqvfe1rc+DAgaZLY0KMKAKYEp1OJ7fffntuueWW3H777UIiAAAmrpSSl73sZUddROVlL3tZSilNl8aEGFEEAAAAjKWqqlx//fV53vOel127duVd73pXrr/++lRV1XRpTIigCAAAABjLC17wgpxzzjm5/PLLc+DAgZx44on5iZ/4ifzJn/xJ06UxIYIiAAAAYCy9Xi+9Xi8f/vCHD69R1O120+/3my6NCREUAQAAAGNxEZXpJygCAAAAxtbpdNLpdLKyspKFhYWmy2HCXPUMAAAAgCSCIgAAAABqgiIAAABgbMPhMHNzc1lcXMzc3FyGw2HTJTFB1igCAAAAxjIcDtPr9TIYDI666lkSC1pPCSOKAAAAgLH0+/0MBoO02+3Mzs6m3W5nMBik3+83XRoTIigCAAAAxjIajTI/P39U2/z8fEajUUMVMWmCIgAAAGAsrVYrq6urR7Wtrq6m1Wo1VBGTJigCAAAAxtLr9dLtdrO8vJy1tbUsLy+n2+2m1+s1XRoTYjFrAAAAYCyHFqxeWlrKaDRKq9VKv9+3kPUUERQBAAAAY+t0Oul0OllZWcnCwkLT5TBhpp4BAAAAYxsOh5mbm8vi4mLm5uYyHA6bLokJEhQBAAAAYxkOh3njG9+Y++67L0ly33335Y1vfKOwaIoIigAAAICxXHrppTl48GCSpKqqJMnBgwdz6aWXNlkWE2SNIgAAAGAsd911V3bu3Jm9e/dmfX09MzMz6XQ6ueuuu5oujQkxoggAAAAY25vf/Oa02+3Mzs6m3W7nzW9+c9MlMUFGFAEAAABj6/f7ec973pM777wzZ511Vvbv3990SUyQEUUAAADAWE477bTcc889eeCBB/Lwww/ngQceyD333JPTTjut6dKYECOKAAAAgLF813d9V9bX13PSSSdl27ZtOemkk/KMZzwj3/Vd39V0aUyIEUUAAADAWL761a9m9+7d+drXvpaHH344X/va17J79+589atfbbo0JkRQBAAAAIzl9NNPzw033JCHH344SfLwww/nhhtuyOmnn95wZUyKoAgAAAAYy/79+3P//ffnZ3/2Z/M7v/M7+dmf/dncf//9FrSeIoIigCkxHA4zNzeXxcXFzM3NZTgcNl0SAABT5r777ss555yTa6+9Nj/5kz+Za6+9Nuecc07uu+++pktjQh53MetSyplJfi3JziRVkuuqqrq6lHJakhuTnJ3kS0leVVXV/lJKSXJ1kpcluT/Jz1RV9Z/q13pNkv+lfum3VVV1w2TfDsDT03A4TK/Xy2AwyPr6emZmZtLtdpMknU6n4eoAAJgmf/qnf5p3vvOd2bVrV/bt25df+IVfaLokJmicEUVrSd5cVdWuJD+S5OdKKbuSXJbklqqqzklyS30/Sc5Pck798/okv5wkdbD0i0l+OMkPJfnFUsqzJvheAJ62+v1+BoNB2u12Zmdn0263MxgM0u/3my4NAIAps2PHjpx77rmZnZ3Nueeemx07djRdEhP0uCOKqqr6WpKv1bfvKaWMknxfkpcnWag3uyHJSpI9dfuvVVVVJfnDUsqppZTn1Nt+rKqqbyVJKeVjSX48ibkRAN+h0WiU+fn5o9rm5+czGo0aqggAgGn1wAMP5Md+7McOj2Q/tLA10+Fxg6IjlVLOTnJukk8m2VmHSEnyn7MxNS3ZCJH+/Iin3VW3PVr7I/fx+myMRMrOnTuzsrLyRErkKeTee+/1+4NNctZZZ+Xd7353zj333MN977bbbstZZ52lH8ImcdyD5uh/sHlmZmaybdu2o8Kh2dnZPPzww/rhlBg7KCqlnJLk/07yP1VV9ZcbSxFtqKqqKqVUkyioqqrrklyXJOedd161sLAwiZelASsrK/H7g83x9re//fAaRTt27EhVVbnmmmvy9re/XT+ETeK4B83R/2DzPPOZz8z+/fuzc+fOfOMb38j3fu/35utf/3qe9axn6YdTYqygqJRyQjZCot+oqurf1c1fL6U8p6qqr9VTy75Rt38lyZlHPP2Muu0r+aupaofaV5586QAccmjB6qWlpYxGo7RarfT7fQtZAwAwUfv3788pp5ySu+++Ow8//HDuvvvunHLKKdm/f3/TpTEhj7uYdX0Vs0GSUVVV7zrioQ8meU19+zVJfvuI9n9aNvxIkm/XU9Q+kuQlpZRn1YtYv6RuA2ACOp1Obr/99txyyy25/fbbhUQAAEzc9u3bc+GFF+b5z39+tm3bluc///m58MILs3379qZLY0LGGVH095P8kySfK6V8pm67PMkVSX6zlNJN8uUkr6of+/dJXpbki0nuT/LaJKmq6lullH+Z5I/q7f7FoYWtAQAAgKe+hx56KO9///tz1VVXZdeuXdm3b18uvfRSC1pPkXGueraapDzKw4vH2L5K8nOP8lp7k+x9IgUCAAAATw3bt2/Peeedl8svvzwHDhzIiSeemB/5kR/Jpz71qaZLY0Ied+oZAAAAQJIcOHAgn/jEJ3LqqaemlJJTTz01n/jEJ3LgwIGmS2NCBEUAAADAWGZnZ3PSSSflpJNOSpLDt2dnx76oOk9xfpMAAADAWNbW1vI93/M92bt3b9bX1zMzM5NOp5P77ruv6dKYEEERAAAATIGNi5Yff1//+tfz4he/uJH9byyLzPFk6hkAAABMgaqqjvvPGWeckec85zm59dZbc9Zbbsqtt96a5zznOTnjjDM2Zf8cf4IiAAAAYCxXXXVV1tbWcvHFF+fOf/2PcvHFF2dtbS1XXXVV06UxIYIiAAAAYCydTidXX311Tj755CTJySefnKuvvjqdTqfhypgUaxQBAAAAY+t0Oul0Ojn7sptz+xUXNF0OE2ZEEcCUGA6HmZuby+LiYubm5jIcDpsuCQAA2GKMKAKYAsPhML1eL4PB4PBlSrvdbpIYBgwAAIzNiCKAKdDv9zMYDNJutzM7O5t2u53BYJB+v990aQAAwBYiKAKYAqPRKPPz80e1zc/PZzQaNVQRAACwFQmKAKZAq9XK6urqUW2rq6tptVoNVQQAAGxF1igCmAK9Xi8XXXRRTj755Nx5550566yzct999+Xqq69uujQAAGALMaIIYMpUVdV0CQAAwBYlKAKYAv1+PzfeeGPuuOOO3Hrrrbnjjjty4403WswaAAB4QgRFAFPAYtYAAMAkCIoApoDFrAEAgEkQFAFMgV6vl263m+Xl5aytrWV5eTndbje9Xq/p0gAAgC3EVc8ApkCn00mSLC0tZTQapdVqpd/vH24HAAAYh6AIYEp0Op10Op2srKxkYWGh6XIAAIAtyNQzAAAAAJIIigAAAACoCYoAAAAASCIoApgaw+Ewc3NzWVxczNzcXIbDYdMlAQAAW4zFrAGmwHA4TK/Xy2AwyPr6emZmZtLtdpPElc8AAICxCYoApkC/38/u3buztLSU0WiUVquV3bt3p9/vC4oAAICxCYoApsC+ffty//33/7URRV/60peaLg0AANhCrFEEMAW2b9+en//5n0+73c7s7Gza7XZ+/ud/Ptu3b2+6NAAAYAsxoghgCjz00EO55pprcu6552Z9fT3Ly8u55ppr8tBDDzVdGgAAsIUIigCmwK5du/KKV7ziqDWKXv3qV+emm25qujQAAGALERQBTIFer3fMq571+/2mSwMAALYQQRHAFDh0ZbMjRxS54hkAAPBECYoApkSn00mn08nKykoWFhaaLgcAANiCXPUMAAAAgCSCIoCp8dKXvjTbtm1Lu93Otm3b8tKXvrTpkgAAgC1GUAQwBV760pfmox/9aC655JL8zu/8Ti655JJ89KMfFRYBAABPiKAIYAp87GMfy+LiYj7+8Y/n5S9/eT7+8Y9ncXExH/vYx5ouDQAA2EIsZg0wBaqqyhe/+MX86q/+atbX1zMzM5PXvva1qaqq6dIAAIAtxIgigCnxwhe+MO12O7Ozs2m323nhC1/YdEkAAMAWIygCmBIf/OAH84Y3vCH33ntv3vCGN+SDH/xg0yUBAABbjKlnAFPgBS94QU466aRce+21+eVf/uWUUnLeeeflgQceaLo0AABgCzGiCGAK9Hq93H333bnlllvysY99LLfcckvuvvvu9Hq9pksDAAC2ECOKAKZAp9NJkiwtLWU0GqXVaqXf7x9uBwAAGIegCGBKdDqddDqdrKysZGFhoelyAACALcjUMwAAAACSCIoAAAAAqAmKAAAAAEgiKAIAAACgJigCAAAAIImgCAAAAICaoAgAAACAJIIiAAAAAGqCIgAAAACSCIoApsZwOMzc3FwWFxczNzeX4XDYdEkAAMAWM9t0AQB854bDYXq9XgaDQdbX1zMzM5Nut5sk6XQ6DVcHAABsFUYUAUyBfr+fwWCQdrud2dnZtNvtDAaD9Pv9pksDAAC2EEERwBQYjUaZn58/qm1+fj6j0aihigAAgK1IUAQwBVqtVlZXV49qW11dTavVaqgiAABgKxIUAUyBXq+Xbreb5eXlrK2tZXl5Od1uN71er+nSAACALcRi1gBToNPp5A/+4A9y/vnn58CBAznxxBPzute9zkLWAADAEyIoApgCw+EwN998cz784Q8fddWzH/3RHxUWAQAAYxMUAUyBfr+f3bt3Z2lpKaPRKK1WK7t3706/3xcUAQAAYxMUAUyBffv25Rvf+EZOPvnkJMl9992X6667Lt/85jcbrgwAANhKLGYNMAVmZmZy//33H9V2//33Z2ZmpqGKAACArUhQBDAF1tbW8uCDD2ZpaSk333xzlpaW8uCDD2Ztba3p0gAAgC3E1DOAKfGqV70qe/fuPbxG0ate9aoMh8OmywIAALYQQRHAlLj11lszHA4PX/XMItYAAMATJSgCmAJnnHFG7rnnnlx88cX58pe/nO///u/Pgw8+mDPOOKPp0gAAgC3EGkUAU+Cqq67K9u3bj2rbvn17rrrqqoYqAgAAtiJBEcAU6HQ6ufrqq3PyySenlJKTTz45V199telnAADAE2LqGcCU6HQ66XQ6WVlZycLCQtPlAAAAW5ARRQBTYjgcZm5uLouLi5mbm3PFMwAA4AkzoghgCgyHw/R6vQwGg8NXPet2u0li+hkAADA2QRHAFOj3+3nhC1+Y888/PwcOHMiJJ56Y888/P/1+X1AEAACMTVAEMAU+//nP5wtf+EKuvPLK7Nq1K/v27cuePXuytrbWdGkAAMAWYo0igClQSsnrXve6vOlNb8qOHTvypje9Ka973etSSmm6NAAAYAsxoghgClRVlV//9V/Pr/zKr+TgwYM54YQTsmPHjlRV1XRpAADAFmJEEcAU2LZtW+69996cdtppSZLTTjst9957b7Zt8zEPAACMzzcIgClQSkkpJZdeemk+/OEP59JLLz3cBgAAMC5TzwCmwPr6el784hfnLW95S6qqSikl7XY7t956a9OlAQAAW4igCGAKzM7O5rbbbsstt9yS9fX1zMzM5B//43+c2Vkf8wAAwPh8gwCYAt/93d+d/fv3Z/fu3fnGN76Rv/E3/kb+4i/+Is961rOaLg0AANhCrFEEMAX279+fU045JXfffXcefvjh3H333TnllFOyf//+pksDAAC2EEERwBTYvn17Lrzwwjz/+c/Ptm3b8vznPz8XXnhhtm/f3nRpAADAFmLqGcAUeOihh/L+978/V111VXbt2pV9+/bl0ksvzcMPP9x0aQAAwBYiKAKYAtu3b88rX/nK7N27N6PRKK1WKz/90z+dD3zgA02XBgAAbCGCIoAp8NBDD+UP/uAPMhgMDl/1rNvt5qGHHmq6NAAAYAsRFAEcZ6WUTdnPHXfckRe/+MWN7L+qquO+DwAA4PizmDXAcVZV1XH/ed/73pfnPve5ufXWW3PWW27Krbfemuc+97l53/vetyn7BwAApoMRRQBToNPpJEmWlpZy575Rlj7cSr/fP9wOAAAwDkERwJTodDrpdDo5+7Kbc/sVFzRdDgAAsAWZegYAAABAEkERAAAAADVBEQAAAABJBEUAAAAA1ARFAAAAACQRFAEAAABQExQBAAAAkERQBAAAAEBNUAQAAABAEkERAAAAADVBEQAAAABJBEUAAAAA1ARFAAAAACQRFAEAAABQExQBAAAAkERQBAAAAEBNUAQAAABAEkERAAAAADVBEQAAAABJBEUAAAAA1ARFAAAAACQRFAEAAABQExQBAAAAkERQBAAAAEBNUAQAAABAEkERAAAAADVBEQAAAABJBEUAAAAA1ARFAAAAACQRFAEAAABQm226AAAAAJhGL3zrR/PtBw42XcZxdfZlNzddwnHzzJNOyGd/8SVNl7HpBEUAAABwHHz7gYP50hUXNF3GcbOyspKFhYWmyzhupjkEeyymngEAAACQRFAEAAAAQE1QBAAAAEASQREAAAAANUERAAAAAEkERQAAAADUHjcoKqXsLaV8o5Ry+xFtp5VSPlZK+ZP632fV7aWU8m9LKV8spfxxKeXvHPGc19Tb/0kp5TXH5+0AAAAA8GSNM6LovUl+/BFtlyW5paqqc5LcUt9PkvOTnFP/vD7JLycbwVKSX0zyw0l+KMkvHgqXAAAAAHhqeNygqKqqjyf51iOaX57khvr2DUlecUT7r1Ub/jDJqaWU5yR5aZKPVVX1raqq9if5WP56+AQAAABAg57sGkU7q6r6Wn37PyfZWd/+viR/fsR2d9Vtj9YOAAAAwFPE7Hf6AlVVVaWUahLFJEkp5fXZmLaWnTt3ZmVlZVIvzSa79957/f6gIfoebD7HPWiO/sdT2TT/v/l06HvT/v6O5ckGRV8vpTynqqqv1VPLvlG3fyXJmUdsd0bd9pUkC49oXznWC1dVdV2S65LkvPPOqxYWFo61GVvAyspK/P6gAb97s74HDXDcg+bofzxlTfl52dT3vSn//T2aJzv17INJDl257DVJfvuI9n9aX/3sR5J8u56i9pEkLymlPKtexPoldRsAAAAATxGPO6KolDLMxmigZ5dS7srG1cuuSPKbpZRuki8neVW9+b9P8rIkX0xyf5LXJklVVd8qpfzLJH9Ub/cvqqp65ALZAAAAADTocYOiqqo6j/LQ4jG2rZL83KO8zt4ke59QdQAAAABsmic79QwAAACAKSMoAgAAACCJoAgAAACAmqAIAAAAgCSCIgAAAABqgiIAAAAAkgiKAAAAAKgJigAAAABIIigCAAAAoCYoAgAAACCJoAgAAACAmqAIAAAAgCSCIgAAAABqgiIAAAAAkgiKAAAAAKgJigAAAABIIigCAAAAoCYoAgAAACCJoAgAAACAmqAIAAAAgCSCIgAAAABqgiIAAAAAkgiKAAAAAKgJigAAAABIIigCAAAAoDbbdAEAm+2Fb/1ovv3AwabLOK7Ovuzmpks4bp550gn57C++pOkyAABgKgmKgKedbz9wMF+64oKmyzhuVlZWsrCw0HQZx800h2AAANA0U88AAAAASCIoAgAAAKAmKAIAAAAgiaAIAAAAgJqgCAAAAIAkgiIAAAAAaoIiAAAAAJIIigAAAACoCYoAAAAASCIoAgAAAKAmKAIAAAAgSTLbdAEAAAAwjZ7Ruiw/cMNlTZdxfN3QdAHHzzNaSXJB02VsOkERAAAAHAf3jK7Il66Y3qBhZWUlCwsLTZdx3Jx92c1Nl9AIU88AAAAASCIoAgAAAKAmKAIAAAAgiaAIAAAAgJqgCAAAAIAkgiIAAAAAaoIiAAAAAJIIigAAAACoCYoAAAAASCIoAgAAAKAmKAIAAAAgiaAIAAAAgJqgCAAAAIAkgiIAAAAAaoIiAAAAAJIIigAAAACoCYoAAAAASJLMNl0AwGZ7Ruuy/MANlzVdxvF1Q9MFHD/PaCXJBU2XAQAAU0lQBDzt3DO6Il+6YnqDhpWVlSwsLDRdxnFz9mU3N10CAABMLVPPAAAAAEgiKAIAAACgJigCAAAAIIk1igAAAOC4mfr1FX93et/fM086oekSGiEoAgAAgONgmi+gkmyEYNP+Hp+OTD0DAAAAIImgCAAAAICaoAgAAACAJIIiAAAAAGqCIgAAAACSCIoAAAAAqAmKAAAAAEgiKAIAAACgJigCAAAAIImgCAAAAICaoAgAAACAJIIiAAAAAGqzTRcA0ISzL7u56RKOr9+d3vf3zJNOaLoEAACYWoIi4GnnS1dc0HQJx9XZl9089e8RAAA4Pkw9AwAAACCJoAgAAACAmqAIAAAAgCSCIgAAAABqgiIAAAAAkgiKAAAAAKgJigAAAABIIigCAAAAoCYoAgAAACCJoAgAAACAmqAIAAAAgCSCIgAAAABqgiIAAAAAkgiKAAAAAKgJigAAAABIIigCAAAAoCYoAgAAACCJoAgAAACAmqAIAADYkobDYebm5rK4uJi5ubkMh8OmSwLY8mabLgAAAOCJGg6H6fV6GQwGWV9fz8zMTLrdbpKk0+k0XB3A1mVEEQAAsOX0+/0MBoO02+3Mzs6m3W5nMBik3+83XRrAliYoAgAAtpzRaJS77rrrqKlnd911V0ajUdOlAWxppp4BAABbzumnn55LL70073vf+w5PPdu9e3dOP/30pksD2NIERQAAwJb0l3/5l3npS1+agwcP5oQTTsgJJ5yQ0047remyALY0QREAALDlfOUrX0lVVYfvHzx4MAcPHswDDzzQYFUAW581igAAgC3nyJBonHYAxiMoAgAAtqxSylH/AvCdERQxcUtLS9mxY0fa7XZ27NiRpaWlpksCAGBKHRpBZCQRwGQIipiopaWlvOc978mpp56aJDn11FPznve8R1gEAMBxceGFF+a3fuu3cuGFFzZdCsBUEBQxUddee21mZ2fzrW99K0nyrW99K7Ozs7n22msbrgwAgGn0oQ99KP/wH/7DfOhDH2q6FICp4KpnTNTa2lqSZGZmJkny8MMPZ319vcmSAADYZJu5XtDDDz981L+bsX/T3HiqamKtrnLl5u5P/zv+jCjiuHj2s5+dUkqe/exnN10KAACbrKqq4/6zbduxv8ps27btuO8bnqo2o+8d+bO8vLzp++T4ExRxXHz9619PVVX5+te/3nQpAABMoTe84Q0ppWR2dmOSxOzsbEopecMb3tBwZQBbm6lnAADAlnPNNdckSa6//vqsra1lZmYml1xyyeF2AJ4cI4o4Lnbu3JlSSnbu3Nl0KQAATKlrrrkmDz74YL5/z4fy4IMPCokAJkBQxHHxzW9+M1VV5Zvf/GbTpQAAAABjMvXsaWQzV8A/dKWzI694thn7t7gZT0WuPgEAAGwVRhQ9jWzGCvRnnnlmkmTHjh1H/XvmmWdaAZ+nLVefAAAAtgpBERN155135swzz8yDDz6YJHnwwQdz5pln5s4772y4MgAAAODxmHrGxB0Khc6+7OZ86YoLGq4GAIAXvvWj+fYDB5su47g6+7Kbmy7huHjmSSfks7/4kqbLAJ5GBEUAADDlvv3Awan+A97KykoWFhaaLuO4mNYADHjqMvUMAAAAgCRGFDXKEOCtzTBgAAAApo2gqEGGAG9t0xyCAQDT5Rmty/IDN1zWdBnH1w1NF3B8PKOVJNP7nQF46hEUNcgBe2tz0AYAtop7Rlf4A+UW5Y+TwGYTFDXIAXtrc9AGALaSqT93+d3pfH/PPOmEpksAnmYERQ1zwN66HLQBgK1imv84mWycU0/7ewTYLIKiBk37wcwBGwAAALaWbU0XAACwlQ2Hw8zNzWVxcTFzc3MZDodNlwQA8KQZUQQA8CQNh8Ps3r378P3Pf/7zh+93Op2myoLGlVI2f59Xbt6+qqravJ0BbDIjip5GSimb+vPlK39i0/cJAJvpyJCo3+8fsx2ejqqq2tSf5eXlTd0fwDQTFD2NTPsB20EbgKZUVZUf/dEfdSwCALY8QREAwHfg7W9/+2PeBwDYSjZ9jaJSyo8nuTrJTJJfqarqis2uAQCYfps1Jfnyyy/P5Zdf3sj+jWACACZtU4OiUspMkv89yY8luSvJH5VSPlhV1b7NrAMAaMYP3PADm7avuffObdq+mrKZ/z2T5HOv+dym7g8A2HybPaLoh5J8saqqP0uSUsr7k7w8iaAIAJ4G7hlt3kDiL1/5E5u2r6Z8/54Pbdq+nnnSCZu2LwCgOWUzhyyXUl6Z5MerqvrZ+v4/SfLDVVX9/BHbvD7J65Nk586dL3r/+9+/afUxWffee29OOeWUpsuApx19D5qh70Fz9D9ohr63dbXb7U9XVXXesR7b9DWKHk9VVdcluS5JzjvvvGphYaHZgnjSVlZW4vcHm0/fg2boe9Ac/Q+aoe9Np82+6tlXkpx5xP0z6jYAAAAAGrbZQdEfJTmnlPLcUsr2JD+d5IObXAMAAAAAx7CpU8+qqlorpfx8ko8kmUmyt6qqz29mDQAAAAAc26avUVRV1b9P8u83e78AAAAAPLbNnnoGAAAAwFOUoAgAAACAJIIiAAAAAGqCIgAAAACSCIoAAAAAqAmKAAAAAEgiKAIAAACgJigCAAAAIImgCAAAAICaoAgAAACAJIIiAAAAAGqCIgAAAACSCIoAAAAAqAmKAAAAAEgiKAIAAACgJigCAAAAIImgCAAAAICaoAgAAACAJIIiAAAAAGqCIgAAAACSCIoAAAAAqAmKAAAAAEgiKAIAAACgVqqqarqGR1VK+S9Jvtx0HTxpz07yzaaLgKchfQ+aoe9Bc/Q/aIa+t3V9f1VV33usB57SQRFbWynlU1VVndd0HfB0o+9BM/Q9aI7+B83Q96aTqWcAAAAAJBEUAQAAAFATFHE8Xdd0AfA0pe9BM/Q9aI7+B83Q96aQNYoAAAAASGJEEQAAAAA1QREAAADwlFJK+cFSysuaruPpSFD0NFZKuaSU8k8n9FqXT+J14OmslDLTdA3wdFRKWSilfKi+fWEp5bKmaxpHXfePNl0HjOPpeN7pSy5PZU+l885SyuyjPPSDSfShBgiKnqZKKbNVVV1bVdWvTegln/AB+6n04QSboZRyUynl06WUz5dSXl+33VtK+dellM8m+XullP+hlPIfSymfKaX8H4f6SSnll0spn6qf+9bH2c+XSinvqF/jU6WUv1NK+Ugp5U9LKZccsd0vlFL+qJTyx0e+5rHqPKLWfinls6WUPyyl7Jz4fySYoLLhCZ3rVFX1waqqrjheNT0Zj3G8XEgiKOIpb9rPO33J5aloM847Syl/t5Ty7+rbLy+lPFBK2V5K2VFK+bO6/Qfr88Y/LqX8VinlWXX7Sinl35RSPpXkjaWUnyql3F6fZ368lLI9yb9IclFd30XH978YRxIUbWGllLNLKf9vKeU3SimjUsoHSinfVUp5USnlP9QfDB8ppTyn3v6RnfF/K6W85YjHfqn+QBgd6vSllD8ppbztiH3+tQ+TUsoVSU6q237j0bar24/6cHqU9+VLLtPq4qqqXpTkvCT/rJTyPUlOTvLJqqpemOTuJBcl+ftVVf1gkvUkr66f26uq6rwkfzvJf1dK+duPs68769f4vSTvTfLKJD+S5K1JUkp5SZJzkvxQNk5kX1RK+W8fo87Utf5hXevHk7zuSf53gOOmPjZ+oZTya0luTzI41sluKeXH62Pof0ryj45o/5lSyrvr2+8tpbzyiMfurf99Tn0S+5n6pPYfPEotP1VKeVd9+41HnDT/zVLK79e3F0spt5VSPldK2VtKObFu/1Ip5cq6vp8qpfyzUsq++pj3/lLK2UkuSfI/13UcswaYlGk87yy+5DLdNuO887ZsnEcmyT/IxnH37yb54SSfrNt/Lcmeqqr+dpLPJfnFI56/vaqq86qq+tdJ/tckL61ru7CqqofqthurqvrBqqpu/A7+W/AECYq2vv8myXuqqmol+cskP5fkmiSvrD8Y9ibpH7H9kZ3xkR6qPxCuTfLb9WvNJfmZUsr3lFJaOcaHSVVVlyV5oO7Ar3607ep9HP5wqqpq9THely+5TKN/Vp+s/mGSM7Px//B6kv+7fnwxyYuS/FEp5TP1/b9ZP/aq+gvjbUlekGTX4+zrg/W/n8tGn7unqqr/kuRAKeXUJC+pf25L8p+S/K26nkerM0keSvKh+vank5z9BN47bKZzsnFsfEGSNz/yZLeUsiPJ9Ul+Mht97r96gq+/O8lH6uPUC5N85lG2+71snDin/vfuUsr31bc/Xtfx3iQXVVX1A0lmk/yPRzz/7qqq/k5VVe9PclmSc+sT7UuqqvpSNo7Xv1Qff3/vCb4HeDKm7bzTl1ym2XE/76yqai3Jn9b98IeSvCvJf5uN/vR7pZRnJjm1qqr/UD/lhvrxQ47sF7+f5L2llNclMfOkYY82TJKt48+rqvr9+vavZ2Mo7lySj5VSko1O9rUjtn+sg9SRXyw/X1XV15Kk/ovKmUnm81cfJklyUpJvHON1Fh9juyM/nB7LkbWcUlXVPUnuKaUc60tukpySjQ+/j2fjQ/Ef1u2HPhTvzl//kvtjY9QBE1FKWUjy3yf5e1VV3V9KWUmyI8mDVVWtH9osyQ1VVf3zRzz3uUnekuTvVlW1v5Ty3vq5j+VA/e/DR9w+dH+23tc7qqr6P8asM0kOVlVV1bfX4xjCU9eXq6r6w/r2q8rG6NLZJM/JxsnutiR3VFX1J0lSSvn1JK8/5isd2x8l2VtKOSHJTVVVfeZYG1VV9Z9LKaeUUp6RjePR+/JXJ9D/Lhtfuu+oqur/q59yQza+LP+b+v6Rx+w/TvIbpZSbktz0BGqFSZqq886qqtbKxoj1R37Jncmjf8n9vx7l/R36kvub2ejf0JhNPu/8eJLzkxxM8v9k4w8gM0l+YYxS7zt0o6qqS0opP5zkgiSfLqW8aIznc5w4yd/6qkfcvycbB9tjTuvKEZ3xGMb5YvnXPkyO4bG2O/LD6bH4ksu0eWaS/fX/l38rGyPkHumWJL9dSvmlqqq+UUo5Lckzknx3Nvrut8vGlMnzk6x8h/V8JMm/LKX8RlVV99ajHA6OWSc81d2XPOmQ9UhrqUdfl421jrYnSVVVH69HsV6QjS+G73qMtVf+IMlrk3whGyOMLs7GFJg35/FH5R15zL4gG19gfzJJr5TyA0/gfcCkTON5py+5TKPNPO/8vWyMvPu1qqr+Sz2bY2eS26uqqkop+0sp/6Ae+fpPkvyHY71IKeW/rqrqk0k+WUo5PxuB8T11TWwyU8+2vrNKKYcOzruzMbTwew+1lVJOKKW8YEL7uiXJK0spf6N+7dNKKd9fP3aw/svq4203KR9JcnEp5ZR6H99X78+XXJ6qfjfJbClllOSKbPTVo1RVtS/J/5Lko6WUP07ysSTPqarqs9kYPff/ZmNEwu8/8rlPVFVVH61f6xOllM8l+UA2DsSPWydsIcc62U02+tLZpZT/ur7feZTnfykbIxWS5MIkJyRJfUz7elVV1yf5lSR/5zFq+L1shFUfz0Y/bic5UFXVt7MRHp1dSnleve0xT6DrkOrMqqqWk+zJxrHulDiBZvNN43nn7yX5n5J8op6i/T3ZGO13e91P95e/WgPscb/kVlX1vyb5L/Ell2Zt5nnnJ7MRDH28vv/HST53xB/oX5PkX9X7+MFsrN11LP+qbKzXd3s2/sjy2STLSXYV63xtOiMqtr4vJPm5UsreJPuyMU/8I0n+bT1cdjYbQ9g//53uqKqqfaWUQx8m27Lxl5efS/LlJNcl+eNSyn+q54s/2nYTUVXVR+thwp+ohxnfm+R/yMaH4iX1h+IX4ksuTxFVVR3IX31JPdIpj9juxhxjqH5VVT/zBPZ19hG335uNv44e67Grk1x9jJc4Vp2pquqUI25/IBvhEjxlVVX12VLKoZPdP099sltV1YP1dLSbSyn3Z+OL4rG+zF2fjb+2fjYbx5dDowcWkvxCKeVgNo4/j3XJ79/LxhfGj1dVtV5K+fO6nkN1vDbJ/1U2rpr0R9lYr+WRZpL8en1cL0n+bVVVf1FK+Z0kHyilvDzJknWK2ATTeN55rC+5/9UjvuReW0r5riR/lo0Rgsfyr0op52Sjj96SjS+5dya5rGys//IO6xSxWTb5vPOBJCcecf/1j3j8MznGH++rqlp4xP1/9MhtknwrG+uGscnKX30GstWUjSuefKiqqrmmawEAYHo57wR4+jCiCGCLKqX8VpLnPqJ5T1VVH2miHgAAppPzzqcXI4pojA8bAKZFKeWTOWLofe2fVFX1uSbqAY7mvBNgfIIiAAAAAJK46hkAAAAANUERAAAAAEkERQAAAADUBEUAAAAAJBEUAQAAAFD7/wF7Qc4f1Uu++AAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 1440x864 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df.boxplot(['perimeter_mean', 'area_mean', 'radius_worst', 'perimeter_worst', 'area_worst'], figsize=(20,12));"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1f5b0d26",
   "metadata": {},
   "source": [
    "### Feature Selection"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a2adaa16",
   "metadata": {},
   "source": [
    "**Firts Way: Apply SelectKBest Algorithm**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "206e241a",
   "metadata": {},
   "outputs": [],
   "source": [
    "X = df.drop(['diagnosis'], axis=1)\n",
    "y = df['diagnosis']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "305b3218",
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.feature_selection import SelectKBest\n",
    "from sklearn.feature_selection import chi2\n",
    "\n",
    "ordered_rank_features=SelectKBest(score_func=chi2,k=30)\n",
    "ordered_feature=ordered_rank_features.fit(X,y)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "68d794ee",
   "metadata": {},
   "outputs": [],
   "source": [
    "dfscores=pd.DataFrame(ordered_feature.scores_,columns=[\"Score\"])\n",
    "dfcolumns=pd.DataFrame(X.columns)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "e4020920",
   "metadata": {},
   "outputs": [],
   "source": [
    "features_rank=pd.concat([dfcolumns,dfscores],axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "5055cc7e",
   "metadata": {},
   "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>Features</th>\n",
       "      <th>Score</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>radius_mean</td>\n",
       "      <td>266.104917</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>texture_mean</td>\n",
       "      <td>93.897508</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>perimeter_mean</td>\n",
       "      <td>2011.102864</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>area_mean</td>\n",
       "      <td>53991.655924</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>smoothness_mean</td>\n",
       "      <td>0.149899</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>compactness_mean</td>\n",
       "      <td>5.403075</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>concavity_mean</td>\n",
       "      <td>19.712354</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>concave points_mean</td>\n",
       "      <td>10.544035</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>symmetry_mean</td>\n",
       "      <td>0.257380</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>fractal_dimension_mean</td>\n",
       "      <td>0.000074</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>radius_se</td>\n",
       "      <td>34.675247</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>texture_se</td>\n",
       "      <td>0.009794</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>perimeter_se</td>\n",
       "      <td>250.571896</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>area_se</td>\n",
       "      <td>8758.504705</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>smoothness_se</td>\n",
       "      <td>0.003266</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>compactness_se</td>\n",
       "      <td>0.613785</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>concavity_se</td>\n",
       "      <td>1.044718</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>concave points_se</td>\n",
       "      <td>0.305232</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>symmetry_se</td>\n",
       "      <td>0.000080</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>fractal_dimension_se</td>\n",
       "      <td>0.006371</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>radius_worst</td>\n",
       "      <td>491.689157</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>texture_worst</td>\n",
       "      <td>174.449400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>perimeter_worst</td>\n",
       "      <td>3665.035416</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>area_worst</td>\n",
       "      <td>112598.431564</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>smoothness_worst</td>\n",
       "      <td>0.397366</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>compactness_worst</td>\n",
       "      <td>19.314922</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>concavity_worst</td>\n",
       "      <td>39.516915</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>concave points_worst</td>\n",
       "      <td>13.485419</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>symmetry_worst</td>\n",
       "      <td>1.298861</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>fractal_dimension_worst</td>\n",
       "      <td>0.231522</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                   Features          Score\n",
       "0               radius_mean     266.104917\n",
       "1              texture_mean      93.897508\n",
       "2            perimeter_mean    2011.102864\n",
       "3                 area_mean   53991.655924\n",
       "4           smoothness_mean       0.149899\n",
       "5          compactness_mean       5.403075\n",
       "6            concavity_mean      19.712354\n",
       "7       concave points_mean      10.544035\n",
       "8             symmetry_mean       0.257380\n",
       "9    fractal_dimension_mean       0.000074\n",
       "10                radius_se      34.675247\n",
       "11               texture_se       0.009794\n",
       "12             perimeter_se     250.571896\n",
       "13                  area_se    8758.504705\n",
       "14            smoothness_se       0.003266\n",
       "15           compactness_se       0.613785\n",
       "16             concavity_se       1.044718\n",
       "17        concave points_se       0.305232\n",
       "18              symmetry_se       0.000080\n",
       "19     fractal_dimension_se       0.006371\n",
       "20             radius_worst     491.689157\n",
       "21            texture_worst     174.449400\n",
       "22          perimeter_worst    3665.035416\n",
       "23               area_worst  112598.431564\n",
       "24         smoothness_worst       0.397366\n",
       "25        compactness_worst      19.314922\n",
       "26          concavity_worst      39.516915\n",
       "27     concave points_worst      13.485419\n",
       "28           symmetry_worst       1.298861\n",
       "29  fractal_dimension_worst       0.231522"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "features_rank.columns=['Features','Score']\n",
    "features_rank"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "19250f3c",
   "metadata": {},
   "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>Features</th>\n",
       "      <th>Score</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>area_worst</td>\n",
       "      <td>112598.431564</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>area_mean</td>\n",
       "      <td>53991.655924</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>area_se</td>\n",
       "      <td>8758.504705</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>perimeter_worst</td>\n",
       "      <td>3665.035416</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>perimeter_mean</td>\n",
       "      <td>2011.102864</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>radius_worst</td>\n",
       "      <td>491.689157</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>radius_mean</td>\n",
       "      <td>266.104917</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>perimeter_se</td>\n",
       "      <td>250.571896</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>texture_worst</td>\n",
       "      <td>174.449400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>texture_mean</td>\n",
       "      <td>93.897508</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "           Features          Score\n",
       "23       area_worst  112598.431564\n",
       "3         area_mean   53991.655924\n",
       "13          area_se    8758.504705\n",
       "22  perimeter_worst    3665.035416\n",
       "2    perimeter_mean    2011.102864\n",
       "20     radius_worst     491.689157\n",
       "0       radius_mean     266.104917\n",
       "12     perimeter_se     250.571896\n",
       "21    texture_worst     174.449400\n",
       "1      texture_mean      93.897508"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "features_rank.nlargest(10,'Score')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "91598565",
   "metadata": {},
   "source": [
    "**Second Way: Ensemble Method**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "a6c8756f",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<style>#sk-container-id-1 {color: black;background-color: white;}#sk-container-id-1 pre{padding: 0;}#sk-container-id-1 div.sk-toggleable {background-color: white;}#sk-container-id-1 label.sk-toggleable__label {cursor: pointer;display: block;width: 100%;margin-bottom: 0;padding: 0.3em;box-sizing: border-box;text-align: center;}#sk-container-id-1 label.sk-toggleable__label-arrow:before {content: \"▸\";float: left;margin-right: 0.25em;color: #696969;}#sk-container-id-1 label.sk-toggleable__label-arrow:hover:before {color: black;}#sk-container-id-1 div.sk-estimator:hover label.sk-toggleable__label-arrow:before {color: black;}#sk-container-id-1 div.sk-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}#sk-container-id-1 div.sk-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}#sk-container-id-1 input.sk-toggleable__control:checked~div.sk-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}#sk-container-id-1 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {content: \"▾\";}#sk-container-id-1 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 input.sk-hidden--visually {border: 0;clip: rect(1px 1px 1px 1px);clip: rect(1px, 1px, 1px, 1px);height: 1px;margin: -1px;overflow: hidden;padding: 0;position: absolute;width: 1px;}#sk-container-id-1 div.sk-estimator {font-family: monospace;background-color: #f0f8ff;border: 1px dotted black;border-radius: 0.25em;box-sizing: border-box;margin-bottom: 0.5em;}#sk-container-id-1 div.sk-estimator:hover {background-color: #d4ebff;}#sk-container-id-1 div.sk-parallel-item::after {content: \"\";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}#sk-container-id-1 div.sk-label:hover label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 div.sk-serial::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: 0;}#sk-container-id-1 div.sk-serial {display: flex;flex-direction: column;align-items: center;background-color: white;padding-right: 0.2em;padding-left: 0.2em;position: relative;}#sk-container-id-1 div.sk-item {position: relative;z-index: 1;}#sk-container-id-1 div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: white;position: relative;}#sk-container-id-1 div.sk-item::before, #sk-container-id-1 div.sk-parallel-item::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: -1;}#sk-container-id-1 div.sk-parallel-item {display: flex;flex-direction: column;z-index: 1;position: relative;background-color: white;}#sk-container-id-1 div.sk-parallel-item:first-child::after {align-self: flex-end;width: 50%;}#sk-container-id-1 div.sk-parallel-item:last-child::after {align-self: flex-start;width: 50%;}#sk-container-id-1 div.sk-parallel-item:only-child::after {width: 0;}#sk-container-id-1 div.sk-dashed-wrapped {border: 1px dashed gray;margin: 0 0.4em 0.5em 0.4em;box-sizing: border-box;padding-bottom: 0.4em;background-color: white;}#sk-container-id-1 div.sk-label label {font-family: monospace;font-weight: bold;display: inline-block;line-height: 1.2em;}#sk-container-id-1 div.sk-label-container {text-align: center;}#sk-container-id-1 div.sk-container {/* jupyter's `normalize.less` sets `[hidden] { display: none; }` but bootstrap.min.css set `[hidden] { display: none !important; }` so we also need the `!important` here to be able to override the default hidden behavior on the sphinx rendered scikit-learn.org. See: https://github.com/scikit-learn/scikit-learn/issues/21755 */display: inline-block !important;position: relative;}#sk-container-id-1 div.sk-text-repr-fallback {display: none;}</style><div id=\"sk-container-id-1\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>ExtraTreesClassifier()</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-1\" type=\"checkbox\" checked><label for=\"sk-estimator-id-1\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">ExtraTreesClassifier</label><div class=\"sk-toggleable__content\"><pre>ExtraTreesClassifier()</pre></div></div></div></div></div>"
      ],
      "text/plain": [
       "ExtraTreesClassifier()"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.ensemble import ExtraTreesClassifier\n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "model=ExtraTreesClassifier()\n",
    "model.fit(X,y)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "6dd0d492",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[0.04101797 0.02321181 0.06961513 0.04711038 0.00964792 0.03322283\n",
      " 0.05435759 0.07701866 0.00626656 0.00540089 0.02415928 0.00724293\n",
      " 0.01754939 0.0243963  0.00695923 0.00897827 0.00768277 0.00713827\n",
      " 0.00566143 0.00579318 0.09295693 0.02590185 0.09313136 0.09273214\n",
      " 0.01892414 0.0325107  0.06595261 0.07323138 0.01379406 0.00843404]\n"
     ]
    }
   ],
   "source": [
    "print(model.feature_importances_)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "94aff40a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "ranked_features=pd.Series(model.feature_importances_,index=X.columns)\n",
    "plt.figure(figsize=(10,8))\n",
    "ranked_features.nlargest(15).plot(kind='barh')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c83bc237",
   "metadata": {},
   "source": [
    "**Third Way: Information Gain**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "02c34090",
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.feature_selection import mutual_info_classif\n",
    "\n",
    "mutual_info=mutual_info_classif(X,y)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "1d7d34d9",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "perimeter_worst         0.474221\n",
       "area_worst              0.463679\n",
       "radius_worst            0.452397\n",
       "concave points_mean     0.439465\n",
       "concave points_worst    0.438379\n",
       "perimeter_mean          0.403750\n",
       "concavity_mean          0.374067\n",
       "radius_mean             0.371668\n",
       "area_mean               0.360624\n",
       "area_se                 0.341738\n",
       "concavity_worst         0.315332\n",
       "perimeter_se            0.279044\n",
       "radius_se               0.248437\n",
       "compactness_worst       0.225596\n",
       "compactness_mean        0.210669\n",
       "dtype: float64"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mutual_data=pd.Series(mutual_info,index=X.columns)\n",
    "mutual_data.sort_values(ascending=False)[:15]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "bd21f6ce",
   "metadata": {},
   "source": [
    "**Fourth Way:  Drop Features Using Pearson Correlation**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "0fdd94be",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x1152 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(20,16))\n",
    "sns.heatmap(df.corr(), annot=True, cbar=False);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "02787a5d",
   "metadata": {},
   "outputs": [],
   "source": [
    "# find and remove correlated features\n",
    "def correlation(dataset, threshold=0.8):\n",
    "    col_corr = set()  # Set of all the names of correlated columns\n",
    "    corr_matrix = dataset.corr()\n",
    "    for i in range(len(corr_matrix.columns)):\n",
    "        for j in range(i):\n",
    "            if abs(corr_matrix.iloc[i, j]) > threshold: # we are interested in absolute coeff value\n",
    "                colname = corr_matrix.columns[i]  # getting the name of column\n",
    "                col_corr.add(colname)\n",
    "    return col_corr"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "b4de2185",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'area_mean',\n",
       " 'area_se',\n",
       " 'area_worst',\n",
       " 'compactness_worst',\n",
       " 'concave points_mean',\n",
       " 'concave points_worst',\n",
       " 'concavity_mean',\n",
       " 'concavity_se',\n",
       " 'concavity_worst',\n",
       " 'fractal_dimension_se',\n",
       " 'fractal_dimension_worst',\n",
       " 'perimeter_mean',\n",
       " 'perimeter_se',\n",
       " 'perimeter_worst',\n",
       " 'radius_worst',\n",
       " 'smoothness_worst',\n",
       " 'texture_worst'}"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "high_corr = correlation(df)\n",
    "high_corr"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "fcde690a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(569, 31)"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "2cdb6b17",
   "metadata": {},
   "outputs": [],
   "source": [
    "df.drop(high_corr, axis=1, inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "366109c6",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(569, 14)"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "9911ef47",
   "metadata": {},
   "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>diagnosis</th>\n",
       "      <th>radius_mean</th>\n",
       "      <th>texture_mean</th>\n",
       "      <th>smoothness_mean</th>\n",
       "      <th>compactness_mean</th>\n",
       "      <th>symmetry_mean</th>\n",
       "      <th>fractal_dimension_mean</th>\n",
       "      <th>radius_se</th>\n",
       "      <th>texture_se</th>\n",
       "      <th>smoothness_se</th>\n",
       "      <th>compactness_se</th>\n",
       "      <th>concave points_se</th>\n",
       "      <th>symmetry_se</th>\n",
       "      <th>symmetry_worst</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>17.99</td>\n",
       "      <td>10.38</td>\n",
       "      <td>0.11840</td>\n",
       "      <td>0.27760</td>\n",
       "      <td>0.2419</td>\n",
       "      <td>0.07871</td>\n",
       "      <td>1.0950</td>\n",
       "      <td>0.9053</td>\n",
       "      <td>0.006399</td>\n",
       "      <td>0.04904</td>\n",
       "      <td>0.01587</td>\n",
       "      <td>0.03003</td>\n",
       "      <td>0.4601</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>20.57</td>\n",
       "      <td>17.77</td>\n",
       "      <td>0.08474</td>\n",
       "      <td>0.07864</td>\n",
       "      <td>0.1812</td>\n",
       "      <td>0.05667</td>\n",
       "      <td>0.5435</td>\n",
       "      <td>0.7339</td>\n",
       "      <td>0.005225</td>\n",
       "      <td>0.01308</td>\n",
       "      <td>0.01340</td>\n",
       "      <td>0.01389</td>\n",
       "      <td>0.2750</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1</td>\n",
       "      <td>19.69</td>\n",
       "      <td>21.25</td>\n",
       "      <td>0.10960</td>\n",
       "      <td>0.15990</td>\n",
       "      <td>0.2069</td>\n",
       "      <td>0.05999</td>\n",
       "      <td>0.7456</td>\n",
       "      <td>0.7869</td>\n",
       "      <td>0.006150</td>\n",
       "      <td>0.04006</td>\n",
       "      <td>0.02058</td>\n",
       "      <td>0.02250</td>\n",
       "      <td>0.3613</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1</td>\n",
       "      <td>11.42</td>\n",
       "      <td>20.38</td>\n",
       "      <td>0.14250</td>\n",
       "      <td>0.28390</td>\n",
       "      <td>0.2597</td>\n",
       "      <td>0.09744</td>\n",
       "      <td>0.4956</td>\n",
       "      <td>1.1560</td>\n",
       "      <td>0.009110</td>\n",
       "      <td>0.07458</td>\n",
       "      <td>0.01867</td>\n",
       "      <td>0.05963</td>\n",
       "      <td>0.6638</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1</td>\n",
       "      <td>20.29</td>\n",
       "      <td>14.34</td>\n",
       "      <td>0.10030</td>\n",
       "      <td>0.13280</td>\n",
       "      <td>0.1809</td>\n",
       "      <td>0.05883</td>\n",
       "      <td>0.7572</td>\n",
       "      <td>0.7813</td>\n",
       "      <td>0.011490</td>\n",
       "      <td>0.02461</td>\n",
       "      <td>0.01885</td>\n",
       "      <td>0.01756</td>\n",
       "      <td>0.2364</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   diagnosis  radius_mean  texture_mean  smoothness_mean  compactness_mean  \\\n",
       "0          1        17.99         10.38          0.11840           0.27760   \n",
       "1          1        20.57         17.77          0.08474           0.07864   \n",
       "2          1        19.69         21.25          0.10960           0.15990   \n",
       "3          1        11.42         20.38          0.14250           0.28390   \n",
       "4          1        20.29         14.34          0.10030           0.13280   \n",
       "\n",
       "   symmetry_mean  fractal_dimension_mean  radius_se  texture_se  \\\n",
       "0         0.2419                 0.07871     1.0950      0.9053   \n",
       "1         0.1812                 0.05667     0.5435      0.7339   \n",
       "2         0.2069                 0.05999     0.7456      0.7869   \n",
       "3         0.2597                 0.09744     0.4956      1.1560   \n",
       "4         0.1809                 0.05883     0.7572      0.7813   \n",
       "\n",
       "   smoothness_se  compactness_se  concave points_se  symmetry_se  \\\n",
       "0       0.006399         0.04904            0.01587      0.03003   \n",
       "1       0.005225         0.01308            0.01340      0.01389   \n",
       "2       0.006150         0.04006            0.02058      0.02250   \n",
       "3       0.009110         0.07458            0.01867      0.05963   \n",
       "4       0.011490         0.02461            0.01885      0.01756   \n",
       "\n",
       "   symmetry_worst  \n",
       "0          0.4601  \n",
       "1          0.2750  \n",
       "2          0.3613  \n",
       "3          0.6638  \n",
       "4          0.2364  "
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f817e2b3",
   "metadata": {},
   "source": [
    "### Train Test Split"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "bfdd86fc",
   "metadata": {},
   "outputs": [],
   "source": [
    "X_data = df.drop(['diagnosis'], axis=1)\n",
    "y_data = df['diagnosis']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "9e373b18",
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.model_selection import train_test_split\n",
    "X_train, X_test, y_train, y_test = train_test_split(X_data, y_data, random_state=42)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "fab752f3",
   "metadata": {},
   "source": [
    "## Train The Model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "80be3e0a",
   "metadata": {},
   "outputs": [],
   "source": [
    "def model_with_score(models, X_train, X_test, y_train, y_test):\n",
    "    \"\"\"\n",
    "    Fits and evaluates given machine learning models.\n",
    "    models : a dict of different Scikit-Learn machine learning models\n",
    "    X_train : training data\n",
    "    X_test : testing data\n",
    "    y_train : labels assosciated with training data\n",
    "    y_test : labels assosciated with test data\n",
    "    \n",
    "    \"\"\"\n",
    "    # Random seed for reproducible results\n",
    "    np.random.seed(42)\n",
    "    # Make a list to keep model scores\n",
    "    model_scores = {}\n",
    "    # Loop through models\n",
    "    for name, model in models.items():\n",
    "        # Fit the model to the data\n",
    "        model.fit(X_train, y_train)\n",
    "        # Evaluate the model and append its score to model_scores\n",
    "        model_scores[name] = model.score(X_test, y_test)\n",
    "    return model_scores"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "e6821221",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'RandomForest': 0.9440559440559441,\n",
       " 'KNN': 0.8951048951048951,\n",
       " 'SVC': 0.8951048951048951,\n",
       " 'LogisticRegression': 0.9230769230769231}"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "models = {\"RandomForest\": RandomForestClassifier(),\n",
    "          \"KNN\": KNeighborsClassifier(),\n",
    "          \"SVC\": SVC(),\n",
    "          \"LogisticRegression\": LogisticRegression()}\n",
    "\n",
    "model_scores = model_with_score(models=models,\n",
    "                             X_train=X_train,\n",
    "                             X_test=X_test,\n",
    "                             y_train=y_train,\n",
    "                             y_test=y_test)\n",
    "model_scores "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "e0512cc2",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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      ],
      "text/plain": [
       "LogisticRegression()"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "logistic_reg = LogisticRegression()\n",
    "logistic_reg.fit(X_train, y_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "4fe23942",
   "metadata": {},
   "outputs": [],
   "source": [
    "# hyper tunning"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "b9dcd71f",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Fitting 5 folds for each of 5 candidates, totalling 25 fits\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/programmer/anaconda3/lib/python3.8/site-packages/sklearn/ensemble/_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
      "  warn(\n",
      "/home/programmer/anaconda3/lib/python3.8/site-packages/sklearn/ensemble/_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
      "  warn(\n",
      "/home/programmer/anaconda3/lib/python3.8/site-packages/sklearn/ensemble/_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
      "  warn(\n",
      "/home/programmer/anaconda3/lib/python3.8/site-packages/sklearn/ensemble/_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
      "  warn(\n",
      "/home/programmer/anaconda3/lib/python3.8/site-packages/sklearn/ensemble/_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
      "  warn(\n",
      "/home/programmer/anaconda3/lib/python3.8/site-packages/sklearn/ensemble/_forest.py:427: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'` or remove this parameter as it is also the default value for RandomForestClassifiers and ExtraTreesClassifiers.\n",
      "  warn(\n"
     ]
    }
   ],
   "source": [
    "from sklearn.model_selection import RandomizedSearchCV\n",
    "\n",
    "np.random.seed(42)\n",
    "\n",
    "# Define a grid of hyperparameters\n",
    "grid = {\"n_estimators\": [10, 100, 200, 500, 1000, 1200],\n",
    "        \"max_depth\": [None, 5, 10, 20, 30],\n",
    "        \"max_features\": [\"auto\", \"sqrt\"],\n",
    "        \"min_samples_split\": [2, 4, 6],\n",
    "        \"min_samples_leaf\": [1, 2, 4]}\n",
    "\n",
    "rs_RFC = RandomizedSearchCV(estimator=RandomForestClassifier(),\n",
    "                                param_distributions=grid,\n",
    "                                n_iter=5,\n",
    "                                verbose=True)\n",
    "\n",
    "rs_RFC.fit(X_train, y_train);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "id": "81ddc0df",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'n_estimators': 500,\n",
       " 'min_samples_split': 2,\n",
       " 'min_samples_leaf': 1,\n",
       " 'max_features': 'auto',\n",
       " 'max_depth': 30}"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rs_RFC.best_params_"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "id": "ced493f7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<style>#sk-container-id-3 {color: black;background-color: white;}#sk-container-id-3 pre{padding: 0;}#sk-container-id-3 div.sk-toggleable {background-color: white;}#sk-container-id-3 label.sk-toggleable__label {cursor: pointer;display: block;width: 100%;margin-bottom: 0;padding: 0.3em;box-sizing: border-box;text-align: center;}#sk-container-id-3 label.sk-toggleable__label-arrow:before {content: \"▸\";float: left;margin-right: 0.25em;color: #696969;}#sk-container-id-3 label.sk-toggleable__label-arrow:hover:before {color: black;}#sk-container-id-3 div.sk-estimator:hover label.sk-toggleable__label-arrow:before {color: black;}#sk-container-id-3 div.sk-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}#sk-container-id-3 div.sk-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}#sk-container-id-3 input.sk-toggleable__control:checked~div.sk-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}#sk-container-id-3 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {content: \"▾\";}#sk-container-id-3 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-3 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-3 input.sk-hidden--visually {border: 0;clip: rect(1px 1px 1px 1px);clip: rect(1px, 1px, 1px, 1px);height: 1px;margin: -1px;overflow: hidden;padding: 0;position: absolute;width: 1px;}#sk-container-id-3 div.sk-estimator {font-family: monospace;background-color: #f0f8ff;border: 1px dotted black;border-radius: 0.25em;box-sizing: border-box;margin-bottom: 0.5em;}#sk-container-id-3 div.sk-estimator:hover {background-color: #d4ebff;}#sk-container-id-3 div.sk-parallel-item::after {content: \"\";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}#sk-container-id-3 div.sk-label:hover label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-3 div.sk-serial::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: 0;}#sk-container-id-3 div.sk-serial {display: flex;flex-direction: column;align-items: center;background-color: white;padding-right: 0.2em;padding-left: 0.2em;position: relative;}#sk-container-id-3 div.sk-item {position: relative;z-index: 1;}#sk-container-id-3 div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: white;position: relative;}#sk-container-id-3 div.sk-item::before, #sk-container-id-3 div.sk-parallel-item::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: -1;}#sk-container-id-3 div.sk-parallel-item {display: flex;flex-direction: column;z-index: 1;position: relative;background-color: white;}#sk-container-id-3 div.sk-parallel-item:first-child::after {align-self: flex-end;width: 50%;}#sk-container-id-3 div.sk-parallel-item:last-child::after {align-self: flex-start;width: 50%;}#sk-container-id-3 div.sk-parallel-item:only-child::after {width: 0;}#sk-container-id-3 div.sk-dashed-wrapped {border: 1px dashed gray;margin: 0 0.4em 0.5em 0.4em;box-sizing: border-box;padding-bottom: 0.4em;background-color: white;}#sk-container-id-3 div.sk-label label {font-family: monospace;font-weight: bold;display: inline-block;line-height: 1.2em;}#sk-container-id-3 div.sk-label-container {text-align: center;}#sk-container-id-3 div.sk-container {/* jupyter's `normalize.less` sets `[hidden] { display: none; }` but bootstrap.min.css set `[hidden] { display: none !important; }` so we also need the `!important` here to be able to override the default hidden behavior on the sphinx rendered scikit-learn.org. See: https://github.com/scikit-learn/scikit-learn/issues/21755 */display: inline-block !important;position: relative;}#sk-container-id-3 div.sk-text-repr-fallback {display: none;}</style><div id=\"sk-container-id-3\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>RandomForestClassifier(max_depth=30, n_estimators=500)</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-3\" type=\"checkbox\" checked><label for=\"sk-estimator-id-3\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">RandomForestClassifier</label><div class=\"sk-toggleable__content\"><pre>RandomForestClassifier(max_depth=30, n_estimators=500)</pre></div></div></div></div></div>"
      ],
      "text/plain": [
       "RandomForestClassifier(max_depth=30, n_estimators=500)"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "model = RandomForestClassifier( n_estimators=500,\n",
    "                                max_depth=30)\n",
    "model.fit(X_train, y_train)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "363d093b",
   "metadata": {},
   "source": [
    "**Checing The Accuracy**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "id": "d8cc719d",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Accuracy-Score: 0.94\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "           0       0.95      0.94      0.95        89\n",
      "           1       0.91      0.93      0.92        54\n",
      "\n",
      "    accuracy                           0.94       143\n",
      "   macro avg       0.93      0.93      0.93       143\n",
      "weighted avg       0.94      0.94      0.94       143\n",
      "\n"
     ]
    }
   ],
   "source": [
    "from sklearn.metrics import accuracy_score, confusion_matrix, classification_report\n",
    "y_pred = model.predict(X_test)\n",
    "print(f'Accuracy-Score: {accuracy_score(y_test, y_pred):.2f}')\n",
    "print(classification_report(y_test, y_pred))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "id": "93dc78c7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import seaborn as sns\n",
    "c_m = confusion_matrix(y_test, y_pred)\n",
    "plt.figure(figsize=(8,6))\n",
    "sns.heatmap(c_m, annot=True, linewidths=8.5 , cbar=False)\n",
    "plt.xlabel('Predicted Label')\n",
    "plt.ylabel('Truth Label')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "id": "c571a1f3",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/programmer/anaconda3/lib/python3.8/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": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "from sklearn.metrics import plot_roc_curve\n",
    "\n",
    "plot_roc_curve(model ,X_test, y_test);"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d1c563fa",
   "metadata": {},
   "source": [
    "## Save The Model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "id": "d667c210",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['cancer_model.pkl']"
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import joblib\n",
    "joblib.dump(model, 'cancer_model.pkl')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "id": "d9d0ce9d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.9370629370629371"
      ]
     },
     "execution_count": 45,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "model = joblib.load('cancer_model.pkl')\n",
    "model.score(X_test, y_test)"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "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": "3.8.10"
  },
  "vscode": {
   "interpreter": {
    "hash": "31f2aee4e71d21fbe5cf8b01ff0e069b9275f58929596ceb00d14d90e3e16cd6"
   }
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}