breast_cancer.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# importing libraries"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 83,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib\n",
    "import seaborn as sns\n",
    "from sklearn.metrics import confusion_matrix, classification_report, accuracy_score\n",
    "from sklearn.preprocessing import LabelEncoder\n",
    "from sklearn.neighbors import KNeighborsClassifier\n",
    "from sklearn.svm import SVC\n",
    "from sklearn.model_selection import train_test_split\n",
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline\n",
    "import seaborn as sns\n",
    "plt.style.use('ggplot')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# importing dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 84,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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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>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",
       "      <td>0</td>\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",
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       "      <td>0.27760</td>\n",
       "      <td>0.30010</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>0.16220</td>\n",
       "      <td>0.6656</td>\n",
       "      <td>0.7119</td>\n",
       "      <td>0.26540</td>\n",
       "      <td>0.4601</td>\n",
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       "      <td>NaN</td>\n",
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       "    <tr>\n",
       "      <td>1</td>\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>0.08690</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",
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       "      <td>0.1866</td>\n",
       "      <td>0.2416</td>\n",
       "      <td>0.18600</td>\n",
       "      <td>0.2750</td>\n",
       "      <td>0.08902</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2</td>\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>0.19740</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>0.14440</td>\n",
       "      <td>0.4245</td>\n",
       "      <td>0.4504</td>\n",
       "      <td>0.24300</td>\n",
       "      <td>0.3613</td>\n",
       "      <td>0.08758</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3</td>\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>0.24140</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>0.20980</td>\n",
       "      <td>0.8663</td>\n",
       "      <td>0.6869</td>\n",
       "      <td>0.25750</td>\n",
       "      <td>0.6638</td>\n",
       "      <td>0.17300</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4</td>\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>0.19800</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>0.13740</td>\n",
       "      <td>0.2050</td>\n",
       "      <td>0.4000</td>\n",
       "      <td>0.16250</td>\n",
       "      <td>0.2364</td>\n",
       "      <td>0.07678</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>...</td>\n",
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       "    <tr>\n",
       "      <td>195</td>\n",
       "      <td>875878</td>\n",
       "      <td>B</td>\n",
       "      <td>12.91</td>\n",
       "      <td>16.33</td>\n",
       "      <td>82.53</td>\n",
       "      <td>516.4</td>\n",
       "      <td>0.07941</td>\n",
       "      <td>0.05366</td>\n",
       "      <td>0.03873</td>\n",
       "      <td>0.02377</td>\n",
       "      <td>...</td>\n",
       "      <td>22.00</td>\n",
       "      <td>90.81</td>\n",
       "      <td>600.6</td>\n",
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       "      <td>0.1506</td>\n",
       "      <td>0.1764</td>\n",
       "      <td>0.08235</td>\n",
       "      <td>0.3024</td>\n",
       "      <td>0.06949</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>196</td>\n",
       "      <td>875938</td>\n",
       "      <td>M</td>\n",
       "      <td>13.77</td>\n",
       "      <td>22.29</td>\n",
       "      <td>90.63</td>\n",
       "      <td>588.9</td>\n",
       "      <td>0.12000</td>\n",
       "      <td>0.12670</td>\n",
       "      <td>0.13850</td>\n",
       "      <td>0.06526</td>\n",
       "      <td>...</td>\n",
       "      <td>34.01</td>\n",
       "      <td>111.60</td>\n",
       "      <td>806.9</td>\n",
       "      <td>0.17370</td>\n",
       "      <td>0.3122</td>\n",
       "      <td>0.3809</td>\n",
       "      <td>0.16730</td>\n",
       "      <td>0.3080</td>\n",
       "      <td>0.09333</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>197</td>\n",
       "      <td>877159</td>\n",
       "      <td>M</td>\n",
       "      <td>18.08</td>\n",
       "      <td>21.84</td>\n",
       "      <td>117.40</td>\n",
       "      <td>1024.0</td>\n",
       "      <td>0.07371</td>\n",
       "      <td>0.08642</td>\n",
       "      <td>0.11030</td>\n",
       "      <td>0.05778</td>\n",
       "      <td>...</td>\n",
       "      <td>24.70</td>\n",
       "      <td>129.10</td>\n",
       "      <td>1228.0</td>\n",
       "      <td>0.08822</td>\n",
       "      <td>0.1963</td>\n",
       "      <td>0.2535</td>\n",
       "      <td>0.09181</td>\n",
       "      <td>0.2369</td>\n",
       "      <td>0.06558</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>198</td>\n",
       "      <td>877486</td>\n",
       "      <td>M</td>\n",
       "      <td>19.18</td>\n",
       "      <td>22.49</td>\n",
       "      <td>127.50</td>\n",
       "      <td>1148.0</td>\n",
       "      <td>0.08523</td>\n",
       "      <td>0.14280</td>\n",
       "      <td>0.11140</td>\n",
       "      <td>0.06772</td>\n",
       "      <td>...</td>\n",
       "      <td>32.06</td>\n",
       "      <td>166.40</td>\n",
       "      <td>1688.0</td>\n",
       "      <td>0.13220</td>\n",
       "      <td>0.5601</td>\n",
       "      <td>0.3865</td>\n",
       "      <td>0.17080</td>\n",
       "      <td>0.3193</td>\n",
       "      <td>0.09221</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>199</td>\n",
       "      <td>877500</td>\n",
       "      <td>M</td>\n",
       "      <td>14.45</td>\n",
       "      <td>20.22</td>\n",
       "      <td>94.49</td>\n",
       "      <td>642.7</td>\n",
       "      <td>0.09872</td>\n",
       "      <td>0.12060</td>\n",
       "      <td>0.11800</td>\n",
       "      <td>0.05980</td>\n",
       "      <td>...</td>\n",
       "      <td>30.12</td>\n",
       "      <td>117.90</td>\n",
       "      <td>1044.0</td>\n",
       "      <td>0.15520</td>\n",
       "      <td>0.4056</td>\n",
       "      <td>0.4967</td>\n",
       "      <td>0.18380</td>\n",
       "      <td>0.4753</td>\n",
       "      <td>0.10130</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>200 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",
       "195    875878         B        12.91         16.33           82.53      516.4   \n",
       "196    875938         M        13.77         22.29           90.63      588.9   \n",
       "197    877159         M        18.08         21.84          117.40     1024.0   \n",
       "198    877486         M        19.18         22.49          127.50     1148.0   \n",
       "199    877500         M        14.45         20.22           94.49      642.7   \n",
       "\n",
       "     smoothness_mean  compactness_mean  concavity_mean  concave points_mean  \\\n",
       "0            0.11840           0.27760         0.30010              0.14710   \n",
       "1            0.08474           0.07864         0.08690              0.07017   \n",
       "2            0.10960           0.15990         0.19740              0.12790   \n",
       "3            0.14250           0.28390         0.24140              0.10520   \n",
       "4            0.10030           0.13280         0.19800              0.10430   \n",
       "..               ...               ...             ...                  ...   \n",
       "195          0.07941           0.05366         0.03873              0.02377   \n",
       "196          0.12000           0.12670         0.13850              0.06526   \n",
       "197          0.07371           0.08642         0.11030              0.05778   \n",
       "198          0.08523           0.14280         0.11140              0.06772   \n",
       "199          0.09872           0.12060         0.11800              0.05980   \n",
       "\n",
       "     ...  texture_worst  perimeter_worst  area_worst  smoothness_worst  \\\n",
       "0    ...          17.33           184.60      2019.0           0.16220   \n",
       "1    ...          23.41           158.80      1956.0           0.12380   \n",
       "2    ...          25.53           152.50      1709.0           0.14440   \n",
       "3    ...          26.50            98.87       567.7           0.20980   \n",
       "4    ...          16.67           152.20      1575.0           0.13740   \n",
       "..   ...            ...              ...         ...               ...   \n",
       "195  ...          22.00            90.81       600.6           0.10970   \n",
       "196  ...          34.01           111.60       806.9           0.17370   \n",
       "197  ...          24.70           129.10      1228.0           0.08822   \n",
       "198  ...          32.06           166.40      1688.0           0.13220   \n",
       "199  ...          30.12           117.90      1044.0           0.15520   \n",
       "\n",
       "     compactness_worst  concavity_worst  concave points_worst  symmetry_worst  \\\n",
       "0               0.6656           0.7119               0.26540          0.4601   \n",
       "1               0.1866           0.2416               0.18600          0.2750   \n",
       "2               0.4245           0.4504               0.24300          0.3613   \n",
       "3               0.8663           0.6869               0.25750          0.6638   \n",
       "4               0.2050           0.4000               0.16250          0.2364   \n",
       "..                 ...              ...                   ...             ...   \n",
       "195             0.1506           0.1764               0.08235          0.3024   \n",
       "196             0.3122           0.3809               0.16730          0.3080   \n",
       "197             0.1963           0.2535               0.09181          0.2369   \n",
       "198             0.5601           0.3865               0.17080          0.3193   \n",
       "199             0.4056           0.4967               0.18380          0.4753   \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",
       "195                  0.06949          NaN  \n",
       "196                  0.09333          NaN  \n",
       "197                  0.06558          NaN  \n",
       "198                  0.09221          NaN  \n",
       "199                  0.10130          NaN  \n",
       "\n",
       "[200 rows x 33 columns]"
      ]
     },
     "execution_count": 84,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.read_csv('data.csv')\n",
    "df.head(200)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(569, 30)"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['id', 'diagnosis', 'radius_mean', 'texture_mean', 'perimeter_mean',\n",
       "       'area_mean', 'smoothness_mean', 'compactness_mean', 'concavity_mean',\n",
       "       'concave points_mean', 'symmetry_mean', 'fractal_dimension_mean',\n",
       "       'radius_se', 'texture_se', 'perimeter_se', 'area_se', 'smoothness_se',\n",
       "       'compactness_se', 'concavity_se', 'concave points_se', 'symmetry_se',\n",
       "       'fractal_dimension_se', 'radius_worst', 'texture_worst',\n",
       "       'perimeter_worst', 'area_worst', 'smoothness_worst',\n",
       "       'compactness_worst', 'concavity_worst', 'concave points_worst'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['M', 'B'], dtype=object)"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['diagnosis'].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 85,
   "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>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>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",
       "      <td>0</td>\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>0.30010</td>\n",
       "      <td>0.14710</td>\n",
       "      <td>...</td>\n",
       "      <td>25.380</td>\n",
       "      <td>17.33</td>\n",
       "      <td>184.60</td>\n",
       "      <td>2019.0</td>\n",
       "      <td>0.16220</td>\n",
       "      <td>0.66560</td>\n",
       "      <td>0.7119</td>\n",
       "      <td>0.2654</td>\n",
       "      <td>0.4601</td>\n",
       "      <td>0.11890</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1</td>\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>0.08690</td>\n",
       "      <td>0.07017</td>\n",
       "      <td>...</td>\n",
       "      <td>24.990</td>\n",
       "      <td>23.41</td>\n",
       "      <td>158.80</td>\n",
       "      <td>1956.0</td>\n",
       "      <td>0.12380</td>\n",
       "      <td>0.18660</td>\n",
       "      <td>0.2416</td>\n",
       "      <td>0.1860</td>\n",
       "      <td>0.2750</td>\n",
       "      <td>0.08902</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2</td>\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>0.19740</td>\n",
       "      <td>0.12790</td>\n",
       "      <td>...</td>\n",
       "      <td>23.570</td>\n",
       "      <td>25.53</td>\n",
       "      <td>152.50</td>\n",
       "      <td>1709.0</td>\n",
       "      <td>0.14440</td>\n",
       "      <td>0.42450</td>\n",
       "      <td>0.4504</td>\n",
       "      <td>0.2430</td>\n",
       "      <td>0.3613</td>\n",
       "      <td>0.08758</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3</td>\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>0.24140</td>\n",
       "      <td>0.10520</td>\n",
       "      <td>...</td>\n",
       "      <td>14.910</td>\n",
       "      <td>26.50</td>\n",
       "      <td>98.87</td>\n",
       "      <td>567.7</td>\n",
       "      <td>0.20980</td>\n",
       "      <td>0.86630</td>\n",
       "      <td>0.6869</td>\n",
       "      <td>0.2575</td>\n",
       "      <td>0.6638</td>\n",
       "      <td>0.17300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4</td>\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>0.19800</td>\n",
       "      <td>0.10430</td>\n",
       "      <td>...</td>\n",
       "      <td>22.540</td>\n",
       "      <td>16.67</td>\n",
       "      <td>152.20</td>\n",
       "      <td>1575.0</td>\n",
       "      <td>0.13740</td>\n",
       "      <td>0.20500</td>\n",
       "      <td>0.4000</td>\n",
       "      <td>0.1625</td>\n",
       "      <td>0.2364</td>\n",
       "      <td>0.07678</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>564</td>\n",
       "      <td>926424</td>\n",
       "      <td>M</td>\n",
       "      <td>21.56</td>\n",
       "      <td>22.39</td>\n",
       "      <td>142.00</td>\n",
       "      <td>1479.0</td>\n",
       "      <td>0.11100</td>\n",
       "      <td>0.11590</td>\n",
       "      <td>0.24390</td>\n",
       "      <td>0.13890</td>\n",
       "      <td>...</td>\n",
       "      <td>25.450</td>\n",
       "      <td>26.40</td>\n",
       "      <td>166.10</td>\n",
       "      <td>2027.0</td>\n",
       "      <td>0.14100</td>\n",
       "      <td>0.21130</td>\n",
       "      <td>0.4107</td>\n",
       "      <td>0.2216</td>\n",
       "      <td>0.2060</td>\n",
       "      <td>0.07115</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>565</td>\n",
       "      <td>926682</td>\n",
       "      <td>M</td>\n",
       "      <td>20.13</td>\n",
       "      <td>28.25</td>\n",
       "      <td>131.20</td>\n",
       "      <td>1261.0</td>\n",
       "      <td>0.09780</td>\n",
       "      <td>0.10340</td>\n",
       "      <td>0.14400</td>\n",
       "      <td>0.09791</td>\n",
       "      <td>...</td>\n",
       "      <td>23.690</td>\n",
       "      <td>38.25</td>\n",
       "      <td>155.00</td>\n",
       "      <td>1731.0</td>\n",
       "      <td>0.11660</td>\n",
       "      <td>0.19220</td>\n",
       "      <td>0.3215</td>\n",
       "      <td>0.1628</td>\n",
       "      <td>0.2572</td>\n",
       "      <td>0.06637</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>566</td>\n",
       "      <td>926954</td>\n",
       "      <td>M</td>\n",
       "      <td>16.60</td>\n",
       "      <td>28.08</td>\n",
       "      <td>108.30</td>\n",
       "      <td>858.1</td>\n",
       "      <td>0.08455</td>\n",
       "      <td>0.10230</td>\n",
       "      <td>0.09251</td>\n",
       "      <td>0.05302</td>\n",
       "      <td>...</td>\n",
       "      <td>18.980</td>\n",
       "      <td>34.12</td>\n",
       "      <td>126.70</td>\n",
       "      <td>1124.0</td>\n",
       "      <td>0.11390</td>\n",
       "      <td>0.30940</td>\n",
       "      <td>0.3403</td>\n",
       "      <td>0.1418</td>\n",
       "      <td>0.2218</td>\n",
       "      <td>0.07820</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>567</td>\n",
       "      <td>927241</td>\n",
       "      <td>M</td>\n",
       "      <td>20.60</td>\n",
       "      <td>29.33</td>\n",
       "      <td>140.10</td>\n",
       "      <td>1265.0</td>\n",
       "      <td>0.11780</td>\n",
       "      <td>0.27700</td>\n",
       "      <td>0.35140</td>\n",
       "      <td>0.15200</td>\n",
       "      <td>...</td>\n",
       "      <td>25.740</td>\n",
       "      <td>39.42</td>\n",
       "      <td>184.60</td>\n",
       "      <td>1821.0</td>\n",
       "      <td>0.16500</td>\n",
       "      <td>0.86810</td>\n",
       "      <td>0.9387</td>\n",
       "      <td>0.2650</td>\n",
       "      <td>0.4087</td>\n",
       "      <td>0.12400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>568</td>\n",
       "      <td>92751</td>\n",
       "      <td>B</td>\n",
       "      <td>7.76</td>\n",
       "      <td>24.54</td>\n",
       "      <td>47.92</td>\n",
       "      <td>181.0</td>\n",
       "      <td>0.05263</td>\n",
       "      <td>0.04362</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>...</td>\n",
       "      <td>9.456</td>\n",
       "      <td>30.37</td>\n",
       "      <td>59.16</td>\n",
       "      <td>268.6</td>\n",
       "      <td>0.08996</td>\n",
       "      <td>0.06444</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.2871</td>\n",
       "      <td>0.07039</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>569 rows × 32 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",
       "564    926424         M        21.56         22.39          142.00     1479.0   \n",
       "565    926682         M        20.13         28.25          131.20     1261.0   \n",
       "566    926954         M        16.60         28.08          108.30      858.1   \n",
       "567    927241         M        20.60         29.33          140.10     1265.0   \n",
       "568     92751         B         7.76         24.54           47.92      181.0   \n",
       "\n",
       "     smoothness_mean  compactness_mean  concavity_mean  concave points_mean  \\\n",
       "0            0.11840           0.27760         0.30010              0.14710   \n",
       "1            0.08474           0.07864         0.08690              0.07017   \n",
       "2            0.10960           0.15990         0.19740              0.12790   \n",
       "3            0.14250           0.28390         0.24140              0.10520   \n",
       "4            0.10030           0.13280         0.19800              0.10430   \n",
       "..               ...               ...             ...                  ...   \n",
       "564          0.11100           0.11590         0.24390              0.13890   \n",
       "565          0.09780           0.10340         0.14400              0.09791   \n",
       "566          0.08455           0.10230         0.09251              0.05302   \n",
       "567          0.11780           0.27700         0.35140              0.15200   \n",
       "568          0.05263           0.04362         0.00000              0.00000   \n",
       "\n",
       "     ...  radius_worst  texture_worst  perimeter_worst  area_worst  \\\n",
       "0    ...        25.380          17.33           184.60      2019.0   \n",
       "1    ...        24.990          23.41           158.80      1956.0   \n",
       "2    ...        23.570          25.53           152.50      1709.0   \n",
       "3    ...        14.910          26.50            98.87       567.7   \n",
       "4    ...        22.540          16.67           152.20      1575.0   \n",
       "..   ...           ...            ...              ...         ...   \n",
       "564  ...        25.450          26.40           166.10      2027.0   \n",
       "565  ...        23.690          38.25           155.00      1731.0   \n",
       "566  ...        18.980          34.12           126.70      1124.0   \n",
       "567  ...        25.740          39.42           184.60      1821.0   \n",
       "568  ...         9.456          30.37            59.16       268.6   \n",
       "\n",
       "     smoothness_worst  compactness_worst  concavity_worst  \\\n",
       "0             0.16220            0.66560           0.7119   \n",
       "1             0.12380            0.18660           0.2416   \n",
       "2             0.14440            0.42450           0.4504   \n",
       "3             0.20980            0.86630           0.6869   \n",
       "4             0.13740            0.20500           0.4000   \n",
       "..                ...                ...              ...   \n",
       "564           0.14100            0.21130           0.4107   \n",
       "565           0.11660            0.19220           0.3215   \n",
       "566           0.11390            0.30940           0.3403   \n",
       "567           0.16500            0.86810           0.9387   \n",
       "568           0.08996            0.06444           0.0000   \n",
       "\n",
       "     concave points_worst  symmetry_worst  fractal_dimension_worst  \n",
       "0                  0.2654          0.4601                  0.11890  \n",
       "1                  0.1860          0.2750                  0.08902  \n",
       "2                  0.2430          0.3613                  0.08758  \n",
       "3                  0.2575          0.6638                  0.17300  \n",
       "4                  0.1625          0.2364                  0.07678  \n",
       "..                    ...             ...                      ...  \n",
       "564                0.2216          0.2060                  0.07115  \n",
       "565                0.1628          0.2572                  0.06637  \n",
       "566                0.1418          0.2218                  0.07820  \n",
       "567                0.2650          0.4087                  0.12400  \n",
       "568                0.0000          0.2871                  0.07039  \n",
       "\n",
       "[569 rows x 32 columns]"
      ]
     },
     "execution_count": 85,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#taking out unneccessary last column\n",
    "df = df.drop(df.columns[-1], axis=1)\n",
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 86,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "id                         0\n",
       "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": 86,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#checking empty rows\n",
    "df.isna().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "False"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.isnull().values.any()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Countplot of the two categories of cancer  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 87,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1ab97c9c788>"
      ]
     },
     "execution_count": 87,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.countplot(df['diagnosis'])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# scatter plot of diagnosis against radius mean"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1ab9538c288>"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.scatterplot(x='diagnosis', y='radius_mean', hue='diagnosis', data=df, palette='dark')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# scatter plot of diagnosis against smoothness"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1ab954746c8>"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.scatterplot(x='diagnosis', y='smoothness_se', hue='diagnosis', data=df, palette='dark')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# encoding diagnosis column"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 88,
   "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>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>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",
       "      <td>0</td>\n",
       "      <td>842302</td>\n",
       "      <td>1</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>25.38</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1</td>\n",
       "      <td>842517</td>\n",
       "      <td>1</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>24.99</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2</td>\n",
       "      <td>84300903</td>\n",
       "      <td>1</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>23.57</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3</td>\n",
       "      <td>84348301</td>\n",
       "      <td>1</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>14.91</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4</td>\n",
       "      <td>84358402</td>\n",
       "      <td>1</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>22.54</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",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 32 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "         id  diagnosis  radius_mean  texture_mean  perimeter_mean  area_mean  \\\n",
       "0    842302          1        17.99         10.38          122.80     1001.0   \n",
       "1    842517          1        20.57         17.77          132.90     1326.0   \n",
       "2  84300903          1        19.69         21.25          130.00     1203.0   \n",
       "3  84348301          1        11.42         20.38           77.58      386.1   \n",
       "4  84358402          1        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",
       "   ...  radius_worst  texture_worst  perimeter_worst  area_worst  \\\n",
       "0  ...         25.38          17.33           184.60      2019.0   \n",
       "1  ...         24.99          23.41           158.80      1956.0   \n",
       "2  ...         23.57          25.53           152.50      1709.0   \n",
       "3  ...         14.91          26.50            98.87       567.7   \n",
       "4  ...         22.54          16.67           152.20      1575.0   \n",
       "\n",
       "   smoothness_worst  compactness_worst  concavity_worst  concave points_worst  \\\n",
       "0            0.1622             0.6656           0.7119                0.2654   \n",
       "1            0.1238             0.1866           0.2416                0.1860   \n",
       "2            0.1444             0.4245           0.4504                0.2430   \n",
       "3            0.2098             0.8663           0.6869                0.2575   \n",
       "4            0.1374             0.2050           0.4000                0.1625   \n",
       "\n",
       "   symmetry_worst  fractal_dimension_worst  \n",
       "0          0.4601                  0.11890  \n",
       "1          0.2750                  0.08902  \n",
       "2          0.3613                  0.08758  \n",
       "3          0.6638                  0.17300  \n",
       "4          0.2364                  0.07678  \n",
       "\n",
       "[5 rows x 32 columns]"
      ]
     },
     "execution_count": 88,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "le = LabelEncoder()\n",
    "df.iloc[:, 1] = le.fit_transform(df.iloc[:, 1])\n",
    "df.head(5)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Correlation table of dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 89,
   "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>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>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",
       "      <td>id</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.039769</td>\n",
       "      <td>0.074626</td>\n",
       "      <td>0.099770</td>\n",
       "      <td>0.073159</td>\n",
       "      <td>0.096893</td>\n",
       "      <td>-0.012968</td>\n",
       "      <td>0.000096</td>\n",
       "      <td>0.050080</td>\n",
       "      <td>0.044158</td>\n",
       "      <td>...</td>\n",
       "      <td>0.082405</td>\n",
       "      <td>0.064720</td>\n",
       "      <td>0.079986</td>\n",
       "      <td>0.107187</td>\n",
       "      <td>0.010338</td>\n",
       "      <td>-0.002968</td>\n",
       "      <td>0.023203</td>\n",
       "      <td>0.035174</td>\n",
       "      <td>-0.044224</td>\n",
       "      <td>-0.029866</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>diagnosis</td>\n",
       "      <td>0.039769</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.730029</td>\n",
       "      <td>0.415185</td>\n",
       "      <td>0.742636</td>\n",
       "      <td>0.708984</td>\n",
       "      <td>0.358560</td>\n",
       "      <td>0.596534</td>\n",
       "      <td>0.696360</td>\n",
       "      <td>0.776614</td>\n",
       "      <td>...</td>\n",
       "      <td>0.776454</td>\n",
       "      <td>0.456903</td>\n",
       "      <td>0.782914</td>\n",
       "      <td>0.733825</td>\n",
       "      <td>0.421465</td>\n",
       "      <td>0.590998</td>\n",
       "      <td>0.659610</td>\n",
       "      <td>0.793566</td>\n",
       "      <td>0.416294</td>\n",
       "      <td>0.323872</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>radius_mean</td>\n",
       "      <td>0.074626</td>\n",
       "      <td>0.730029</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.323782</td>\n",
       "      <td>0.997855</td>\n",
       "      <td>0.987357</td>\n",
       "      <td>0.170581</td>\n",
       "      <td>0.506124</td>\n",
       "      <td>0.676764</td>\n",
       "      <td>0.822529</td>\n",
       "      <td>...</td>\n",
       "      <td>0.969539</td>\n",
       "      <td>0.297008</td>\n",
       "      <td>0.965137</td>\n",
       "      <td>0.941082</td>\n",
       "      <td>0.119616</td>\n",
       "      <td>0.413463</td>\n",
       "      <td>0.526911</td>\n",
       "      <td>0.744214</td>\n",
       "      <td>0.163953</td>\n",
       "      <td>0.007066</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>texture_mean</td>\n",
       "      <td>0.099770</td>\n",
       "      <td>0.415185</td>\n",
       "      <td>0.323782</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.329533</td>\n",
       "      <td>0.321086</td>\n",
       "      <td>-0.023389</td>\n",
       "      <td>0.236702</td>\n",
       "      <td>0.302418</td>\n",
       "      <td>0.293464</td>\n",
       "      <td>...</td>\n",
       "      <td>0.352573</td>\n",
       "      <td>0.912045</td>\n",
       "      <td>0.358040</td>\n",
       "      <td>0.343546</td>\n",
       "      <td>0.077503</td>\n",
       "      <td>0.277830</td>\n",
       "      <td>0.301025</td>\n",
       "      <td>0.295316</td>\n",
       "      <td>0.105008</td>\n",
       "      <td>0.119205</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>perimeter_mean</td>\n",
       "      <td>0.073159</td>\n",
       "      <td>0.742636</td>\n",
       "      <td>0.997855</td>\n",
       "      <td>0.329533</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.986507</td>\n",
       "      <td>0.207278</td>\n",
       "      <td>0.556936</td>\n",
       "      <td>0.716136</td>\n",
       "      <td>0.850977</td>\n",
       "      <td>...</td>\n",
       "      <td>0.969476</td>\n",
       "      <td>0.303038</td>\n",
       "      <td>0.970387</td>\n",
       "      <td>0.941550</td>\n",
       "      <td>0.150549</td>\n",
       "      <td>0.455774</td>\n",
       "      <td>0.563879</td>\n",
       "      <td>0.771241</td>\n",
       "      <td>0.189115</td>\n",
       "      <td>0.051019</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>area_mean</td>\n",
       "      <td>0.096893</td>\n",
       "      <td>0.708984</td>\n",
       "      <td>0.987357</td>\n",
       "      <td>0.321086</td>\n",
       "      <td>0.986507</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.177028</td>\n",
       "      <td>0.498502</td>\n",
       "      <td>0.685983</td>\n",
       "      <td>0.823269</td>\n",
       "      <td>...</td>\n",
       "      <td>0.962746</td>\n",
       "      <td>0.287489</td>\n",
       "      <td>0.959120</td>\n",
       "      <td>0.959213</td>\n",
       "      <td>0.123523</td>\n",
       "      <td>0.390410</td>\n",
       "      <td>0.512606</td>\n",
       "      <td>0.722017</td>\n",
       "      <td>0.143570</td>\n",
       "      <td>0.003738</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>smoothness_mean</td>\n",
       "      <td>-0.012968</td>\n",
       "      <td>0.358560</td>\n",
       "      <td>0.170581</td>\n",
       "      <td>-0.023389</td>\n",
       "      <td>0.207278</td>\n",
       "      <td>0.177028</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.659123</td>\n",
       "      <td>0.521984</td>\n",
       "      <td>0.553695</td>\n",
       "      <td>...</td>\n",
       "      <td>0.213120</td>\n",
       "      <td>0.036072</td>\n",
       "      <td>0.238853</td>\n",
       "      <td>0.206718</td>\n",
       "      <td>0.805324</td>\n",
       "      <td>0.472468</td>\n",
       "      <td>0.434926</td>\n",
       "      <td>0.503053</td>\n",
       "      <td>0.394309</td>\n",
       "      <td>0.499316</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>compactness_mean</td>\n",
       "      <td>0.000096</td>\n",
       "      <td>0.596534</td>\n",
       "      <td>0.506124</td>\n",
       "      <td>0.236702</td>\n",
       "      <td>0.556936</td>\n",
       "      <td>0.498502</td>\n",
       "      <td>0.659123</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.883121</td>\n",
       "      <td>0.831135</td>\n",
       "      <td>...</td>\n",
       "      <td>0.535315</td>\n",
       "      <td>0.248133</td>\n",
       "      <td>0.590210</td>\n",
       "      <td>0.509604</td>\n",
       "      <td>0.565541</td>\n",
       "      <td>0.865809</td>\n",
       "      <td>0.816275</td>\n",
       "      <td>0.815573</td>\n",
       "      <td>0.510223</td>\n",
       "      <td>0.687382</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>concavity_mean</td>\n",
       "      <td>0.050080</td>\n",
       "      <td>0.696360</td>\n",
       "      <td>0.676764</td>\n",
       "      <td>0.302418</td>\n",
       "      <td>0.716136</td>\n",
       "      <td>0.685983</td>\n",
       "      <td>0.521984</td>\n",
       "      <td>0.883121</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.921391</td>\n",
       "      <td>...</td>\n",
       "      <td>0.688236</td>\n",
       "      <td>0.299879</td>\n",
       "      <td>0.729565</td>\n",
       "      <td>0.675987</td>\n",
       "      <td>0.448822</td>\n",
       "      <td>0.754968</td>\n",
       "      <td>0.884103</td>\n",
       "      <td>0.861323</td>\n",
       "      <td>0.409464</td>\n",
       "      <td>0.514930</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>concave points_mean</td>\n",
       "      <td>0.044158</td>\n",
       "      <td>0.776614</td>\n",
       "      <td>0.822529</td>\n",
       "      <td>0.293464</td>\n",
       "      <td>0.850977</td>\n",
       "      <td>0.823269</td>\n",
       "      <td>0.553695</td>\n",
       "      <td>0.831135</td>\n",
       "      <td>0.921391</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.830318</td>\n",
       "      <td>0.292752</td>\n",
       "      <td>0.855923</td>\n",
       "      <td>0.809630</td>\n",
       "      <td>0.452753</td>\n",
       "      <td>0.667454</td>\n",
       "      <td>0.752399</td>\n",
       "      <td>0.910155</td>\n",
       "      <td>0.375744</td>\n",
       "      <td>0.368661</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>symmetry_mean</td>\n",
       "      <td>-0.022114</td>\n",
       "      <td>0.330499</td>\n",
       "      <td>0.147741</td>\n",
       "      <td>0.071401</td>\n",
       "      <td>0.183027</td>\n",
       "      <td>0.151293</td>\n",
       "      <td>0.557775</td>\n",
       "      <td>0.602641</td>\n",
       "      <td>0.500667</td>\n",
       "      <td>0.462497</td>\n",
       "      <td>...</td>\n",
       "      <td>0.185728</td>\n",
       "      <td>0.090651</td>\n",
       "      <td>0.219169</td>\n",
       "      <td>0.177193</td>\n",
       "      <td>0.426675</td>\n",
       "      <td>0.473200</td>\n",
       "      <td>0.433721</td>\n",
       "      <td>0.430297</td>\n",
       "      <td>0.699826</td>\n",
       "      <td>0.438413</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>fractal_dimension_mean</td>\n",
       "      <td>-0.052511</td>\n",
       "      <td>-0.012838</td>\n",
       "      <td>-0.311631</td>\n",
       "      <td>-0.076437</td>\n",
       "      <td>-0.261477</td>\n",
       "      <td>-0.283110</td>\n",
       "      <td>0.584792</td>\n",
       "      <td>0.565369</td>\n",
       "      <td>0.336783</td>\n",
       "      <td>0.166917</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.253691</td>\n",
       "      <td>-0.051269</td>\n",
       "      <td>-0.205151</td>\n",
       "      <td>-0.231854</td>\n",
       "      <td>0.504942</td>\n",
       "      <td>0.458798</td>\n",
       "      <td>0.346234</td>\n",
       "      <td>0.175325</td>\n",
       "      <td>0.334019</td>\n",
       "      <td>0.767297</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>radius_se</td>\n",
       "      <td>0.143048</td>\n",
       "      <td>0.567134</td>\n",
       "      <td>0.679090</td>\n",
       "      <td>0.275869</td>\n",
       "      <td>0.691765</td>\n",
       "      <td>0.732562</td>\n",
       "      <td>0.301467</td>\n",
       "      <td>0.497473</td>\n",
       "      <td>0.631925</td>\n",
       "      <td>0.698050</td>\n",
       "      <td>...</td>\n",
       "      <td>0.715065</td>\n",
       "      <td>0.194799</td>\n",
       "      <td>0.719684</td>\n",
       "      <td>0.751548</td>\n",
       "      <td>0.141919</td>\n",
       "      <td>0.287103</td>\n",
       "      <td>0.380585</td>\n",
       "      <td>0.531062</td>\n",
       "      <td>0.094543</td>\n",
       "      <td>0.049559</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>texture_se</td>\n",
       "      <td>-0.007526</td>\n",
       "      <td>-0.008303</td>\n",
       "      <td>-0.097317</td>\n",
       "      <td>0.386358</td>\n",
       "      <td>-0.086761</td>\n",
       "      <td>-0.066280</td>\n",
       "      <td>0.068406</td>\n",
       "      <td>0.046205</td>\n",
       "      <td>0.076218</td>\n",
       "      <td>0.021480</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.111690</td>\n",
       "      <td>0.409003</td>\n",
       "      <td>-0.102242</td>\n",
       "      <td>-0.083195</td>\n",
       "      <td>-0.073658</td>\n",
       "      <td>-0.092439</td>\n",
       "      <td>-0.068956</td>\n",
       "      <td>-0.119638</td>\n",
       "      <td>-0.128215</td>\n",
       "      <td>-0.045655</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>perimeter_se</td>\n",
       "      <td>0.137331</td>\n",
       "      <td>0.556141</td>\n",
       "      <td>0.674172</td>\n",
       "      <td>0.281673</td>\n",
       "      <td>0.693135</td>\n",
       "      <td>0.726628</td>\n",
       "      <td>0.296092</td>\n",
       "      <td>0.548905</td>\n",
       "      <td>0.660391</td>\n",
       "      <td>0.710650</td>\n",
       "      <td>...</td>\n",
       "      <td>0.697201</td>\n",
       "      <td>0.200371</td>\n",
       "      <td>0.721031</td>\n",
       "      <td>0.730713</td>\n",
       "      <td>0.130054</td>\n",
       "      <td>0.341919</td>\n",
       "      <td>0.418899</td>\n",
       "      <td>0.554897</td>\n",
       "      <td>0.109930</td>\n",
       "      <td>0.085433</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>area_se</td>\n",
       "      <td>0.177742</td>\n",
       "      <td>0.548236</td>\n",
       "      <td>0.735864</td>\n",
       "      <td>0.259845</td>\n",
       "      <td>0.744983</td>\n",
       "      <td>0.800086</td>\n",
       "      <td>0.246552</td>\n",
       "      <td>0.455653</td>\n",
       "      <td>0.617427</td>\n",
       "      <td>0.690299</td>\n",
       "      <td>...</td>\n",
       "      <td>0.757373</td>\n",
       "      <td>0.196497</td>\n",
       "      <td>0.761213</td>\n",
       "      <td>0.811408</td>\n",
       "      <td>0.125389</td>\n",
       "      <td>0.283257</td>\n",
       "      <td>0.385100</td>\n",
       "      <td>0.538166</td>\n",
       "      <td>0.074126</td>\n",
       "      <td>0.017539</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>smoothness_se</td>\n",
       "      <td>0.096781</td>\n",
       "      <td>-0.067016</td>\n",
       "      <td>-0.222600</td>\n",
       "      <td>0.006614</td>\n",
       "      <td>-0.202694</td>\n",
       "      <td>-0.166777</td>\n",
       "      <td>0.332375</td>\n",
       "      <td>0.135299</td>\n",
       "      <td>0.098564</td>\n",
       "      <td>0.027653</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.230691</td>\n",
       "      <td>-0.074743</td>\n",
       "      <td>-0.217304</td>\n",
       "      <td>-0.182195</td>\n",
       "      <td>0.314457</td>\n",
       "      <td>-0.055558</td>\n",
       "      <td>-0.058298</td>\n",
       "      <td>-0.102007</td>\n",
       "      <td>-0.107342</td>\n",
       "      <td>0.101480</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>compactness_se</td>\n",
       "      <td>0.033961</td>\n",
       "      <td>0.292999</td>\n",
       "      <td>0.206000</td>\n",
       "      <td>0.191975</td>\n",
       "      <td>0.250744</td>\n",
       "      <td>0.212583</td>\n",
       "      <td>0.318943</td>\n",
       "      <td>0.738722</td>\n",
       "      <td>0.670279</td>\n",
       "      <td>0.490424</td>\n",
       "      <td>...</td>\n",
       "      <td>0.204607</td>\n",
       "      <td>0.143003</td>\n",
       "      <td>0.260516</td>\n",
       "      <td>0.199371</td>\n",
       "      <td>0.227394</td>\n",
       "      <td>0.678780</td>\n",
       "      <td>0.639147</td>\n",
       "      <td>0.483208</td>\n",
       "      <td>0.277878</td>\n",
       "      <td>0.590973</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>concavity_se</td>\n",
       "      <td>0.055239</td>\n",
       "      <td>0.253730</td>\n",
       "      <td>0.194204</td>\n",
       "      <td>0.143293</td>\n",
       "      <td>0.228082</td>\n",
       "      <td>0.207660</td>\n",
       "      <td>0.248396</td>\n",
       "      <td>0.570517</td>\n",
       "      <td>0.691270</td>\n",
       "      <td>0.439167</td>\n",
       "      <td>...</td>\n",
       "      <td>0.186904</td>\n",
       "      <td>0.100241</td>\n",
       "      <td>0.226680</td>\n",
       "      <td>0.188353</td>\n",
       "      <td>0.168481</td>\n",
       "      <td>0.484858</td>\n",
       "      <td>0.662564</td>\n",
       "      <td>0.440472</td>\n",
       "      <td>0.197788</td>\n",
       "      <td>0.439329</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>concave points_se</td>\n",
       "      <td>0.078768</td>\n",
       "      <td>0.408042</td>\n",
       "      <td>0.376169</td>\n",
       "      <td>0.163851</td>\n",
       "      <td>0.407217</td>\n",
       "      <td>0.372320</td>\n",
       "      <td>0.380676</td>\n",
       "      <td>0.642262</td>\n",
       "      <td>0.683260</td>\n",
       "      <td>0.615634</td>\n",
       "      <td>...</td>\n",
       "      <td>0.358127</td>\n",
       "      <td>0.086741</td>\n",
       "      <td>0.394999</td>\n",
       "      <td>0.342271</td>\n",
       "      <td>0.215351</td>\n",
       "      <td>0.452888</td>\n",
       "      <td>0.549592</td>\n",
       "      <td>0.602450</td>\n",
       "      <td>0.143116</td>\n",
       "      <td>0.310655</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>symmetry_se</td>\n",
       "      <td>-0.017306</td>\n",
       "      <td>-0.006522</td>\n",
       "      <td>-0.104321</td>\n",
       "      <td>0.009127</td>\n",
       "      <td>-0.081629</td>\n",
       "      <td>-0.072497</td>\n",
       "      <td>0.200774</td>\n",
       "      <td>0.229977</td>\n",
       "      <td>0.178009</td>\n",
       "      <td>0.095351</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.128121</td>\n",
       "      <td>-0.077473</td>\n",
       "      <td>-0.103753</td>\n",
       "      <td>-0.110343</td>\n",
       "      <td>-0.012662</td>\n",
       "      <td>0.060255</td>\n",
       "      <td>0.037119</td>\n",
       "      <td>-0.030413</td>\n",
       "      <td>0.389402</td>\n",
       "      <td>0.078079</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>fractal_dimension_se</td>\n",
       "      <td>0.025725</td>\n",
       "      <td>0.077972</td>\n",
       "      <td>-0.042641</td>\n",
       "      <td>0.054458</td>\n",
       "      <td>-0.005523</td>\n",
       "      <td>-0.019887</td>\n",
       "      <td>0.283607</td>\n",
       "      <td>0.507318</td>\n",
       "      <td>0.449301</td>\n",
       "      <td>0.257584</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.037488</td>\n",
       "      <td>-0.003195</td>\n",
       "      <td>-0.001000</td>\n",
       "      <td>-0.022736</td>\n",
       "      <td>0.170568</td>\n",
       "      <td>0.390159</td>\n",
       "      <td>0.379975</td>\n",
       "      <td>0.215204</td>\n",
       "      <td>0.111094</td>\n",
       "      <td>0.591328</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>radius_worst</td>\n",
       "      <td>0.082405</td>\n",
       "      <td>0.776454</td>\n",
       "      <td>0.969539</td>\n",
       "      <td>0.352573</td>\n",
       "      <td>0.969476</td>\n",
       "      <td>0.962746</td>\n",
       "      <td>0.213120</td>\n",
       "      <td>0.535315</td>\n",
       "      <td>0.688236</td>\n",
       "      <td>0.830318</td>\n",
       "      <td>...</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.359921</td>\n",
       "      <td>0.993708</td>\n",
       "      <td>0.984015</td>\n",
       "      <td>0.216574</td>\n",
       "      <td>0.475820</td>\n",
       "      <td>0.573975</td>\n",
       "      <td>0.787424</td>\n",
       "      <td>0.243529</td>\n",
       "      <td>0.093492</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>texture_worst</td>\n",
       "      <td>0.064720</td>\n",
       "      <td>0.456903</td>\n",
       "      <td>0.297008</td>\n",
       "      <td>0.912045</td>\n",
       "      <td>0.303038</td>\n",
       "      <td>0.287489</td>\n",
       "      <td>0.036072</td>\n",
       "      <td>0.248133</td>\n",
       "      <td>0.299879</td>\n",
       "      <td>0.292752</td>\n",
       "      <td>...</td>\n",
       "      <td>0.359921</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.365098</td>\n",
       "      <td>0.345842</td>\n",
       "      <td>0.225429</td>\n",
       "      <td>0.360832</td>\n",
       "      <td>0.368366</td>\n",
       "      <td>0.359755</td>\n",
       "      <td>0.233027</td>\n",
       "      <td>0.219122</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>perimeter_worst</td>\n",
       "      <td>0.079986</td>\n",
       "      <td>0.782914</td>\n",
       "      <td>0.965137</td>\n",
       "      <td>0.358040</td>\n",
       "      <td>0.970387</td>\n",
       "      <td>0.959120</td>\n",
       "      <td>0.238853</td>\n",
       "      <td>0.590210</td>\n",
       "      <td>0.729565</td>\n",
       "      <td>0.855923</td>\n",
       "      <td>...</td>\n",
       "      <td>0.993708</td>\n",
       "      <td>0.365098</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.977578</td>\n",
       "      <td>0.236775</td>\n",
       "      <td>0.529408</td>\n",
       "      <td>0.618344</td>\n",
       "      <td>0.816322</td>\n",
       "      <td>0.269493</td>\n",
       "      <td>0.138957</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>area_worst</td>\n",
       "      <td>0.107187</td>\n",
       "      <td>0.733825</td>\n",
       "      <td>0.941082</td>\n",
       "      <td>0.343546</td>\n",
       "      <td>0.941550</td>\n",
       "      <td>0.959213</td>\n",
       "      <td>0.206718</td>\n",
       "      <td>0.509604</td>\n",
       "      <td>0.675987</td>\n",
       "      <td>0.809630</td>\n",
       "      <td>...</td>\n",
       "      <td>0.984015</td>\n",
       "      <td>0.345842</td>\n",
       "      <td>0.977578</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.209145</td>\n",
       "      <td>0.438296</td>\n",
       "      <td>0.543331</td>\n",
       "      <td>0.747419</td>\n",
       "      <td>0.209146</td>\n",
       "      <td>0.079647</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>smoothness_worst</td>\n",
       "      <td>0.010338</td>\n",
       "      <td>0.421465</td>\n",
       "      <td>0.119616</td>\n",
       "      <td>0.077503</td>\n",
       "      <td>0.150549</td>\n",
       "      <td>0.123523</td>\n",
       "      <td>0.805324</td>\n",
       "      <td>0.565541</td>\n",
       "      <td>0.448822</td>\n",
       "      <td>0.452753</td>\n",
       "      <td>...</td>\n",
       "      <td>0.216574</td>\n",
       "      <td>0.225429</td>\n",
       "      <td>0.236775</td>\n",
       "      <td>0.209145</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.568187</td>\n",
       "      <td>0.518523</td>\n",
       "      <td>0.547691</td>\n",
       "      <td>0.493838</td>\n",
       "      <td>0.617624</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>compactness_worst</td>\n",
       "      <td>-0.002968</td>\n",
       "      <td>0.590998</td>\n",
       "      <td>0.413463</td>\n",
       "      <td>0.277830</td>\n",
       "      <td>0.455774</td>\n",
       "      <td>0.390410</td>\n",
       "      <td>0.472468</td>\n",
       "      <td>0.865809</td>\n",
       "      <td>0.754968</td>\n",
       "      <td>0.667454</td>\n",
       "      <td>...</td>\n",
       "      <td>0.475820</td>\n",
       "      <td>0.360832</td>\n",
       "      <td>0.529408</td>\n",
       "      <td>0.438296</td>\n",
       "      <td>0.568187</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.892261</td>\n",
       "      <td>0.801080</td>\n",
       "      <td>0.614441</td>\n",
       "      <td>0.810455</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>concavity_worst</td>\n",
       "      <td>0.023203</td>\n",
       "      <td>0.659610</td>\n",
       "      <td>0.526911</td>\n",
       "      <td>0.301025</td>\n",
       "      <td>0.563879</td>\n",
       "      <td>0.512606</td>\n",
       "      <td>0.434926</td>\n",
       "      <td>0.816275</td>\n",
       "      <td>0.884103</td>\n",
       "      <td>0.752399</td>\n",
       "      <td>...</td>\n",
       "      <td>0.573975</td>\n",
       "      <td>0.368366</td>\n",
       "      <td>0.618344</td>\n",
       "      <td>0.543331</td>\n",
       "      <td>0.518523</td>\n",
       "      <td>0.892261</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.855434</td>\n",
       "      <td>0.532520</td>\n",
       "      <td>0.686511</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>concave points_worst</td>\n",
       "      <td>0.035174</td>\n",
       "      <td>0.793566</td>\n",
       "      <td>0.744214</td>\n",
       "      <td>0.295316</td>\n",
       "      <td>0.771241</td>\n",
       "      <td>0.722017</td>\n",
       "      <td>0.503053</td>\n",
       "      <td>0.815573</td>\n",
       "      <td>0.861323</td>\n",
       "      <td>0.910155</td>\n",
       "      <td>...</td>\n",
       "      <td>0.787424</td>\n",
       "      <td>0.359755</td>\n",
       "      <td>0.816322</td>\n",
       "      <td>0.747419</td>\n",
       "      <td>0.547691</td>\n",
       "      <td>0.801080</td>\n",
       "      <td>0.855434</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.502528</td>\n",
       "      <td>0.511114</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>symmetry_worst</td>\n",
       "      <td>-0.044224</td>\n",
       "      <td>0.416294</td>\n",
       "      <td>0.163953</td>\n",
       "      <td>0.105008</td>\n",
       "      <td>0.189115</td>\n",
       "      <td>0.143570</td>\n",
       "      <td>0.394309</td>\n",
       "      <td>0.510223</td>\n",
       "      <td>0.409464</td>\n",
       "      <td>0.375744</td>\n",
       "      <td>...</td>\n",
       "      <td>0.243529</td>\n",
       "      <td>0.233027</td>\n",
       "      <td>0.269493</td>\n",
       "      <td>0.209146</td>\n",
       "      <td>0.493838</td>\n",
       "      <td>0.614441</td>\n",
       "      <td>0.532520</td>\n",
       "      <td>0.502528</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.537848</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>fractal_dimension_worst</td>\n",
       "      <td>-0.029866</td>\n",
       "      <td>0.323872</td>\n",
       "      <td>0.007066</td>\n",
       "      <td>0.119205</td>\n",
       "      <td>0.051019</td>\n",
       "      <td>0.003738</td>\n",
       "      <td>0.499316</td>\n",
       "      <td>0.687382</td>\n",
       "      <td>0.514930</td>\n",
       "      <td>0.368661</td>\n",
       "      <td>...</td>\n",
       "      <td>0.093492</td>\n",
       "      <td>0.219122</td>\n",
       "      <td>0.138957</td>\n",
       "      <td>0.079647</td>\n",
       "      <td>0.617624</td>\n",
       "      <td>0.810455</td>\n",
       "      <td>0.686511</td>\n",
       "      <td>0.511114</td>\n",
       "      <td>0.537848</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>32 rows × 32 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                               id  diagnosis  radius_mean  texture_mean  \\\n",
       "id                       1.000000   0.039769     0.074626      0.099770   \n",
       "diagnosis                0.039769   1.000000     0.730029      0.415185   \n",
       "radius_mean              0.074626   0.730029     1.000000      0.323782   \n",
       "texture_mean             0.099770   0.415185     0.323782      1.000000   \n",
       "perimeter_mean           0.073159   0.742636     0.997855      0.329533   \n",
       "area_mean                0.096893   0.708984     0.987357      0.321086   \n",
       "smoothness_mean         -0.012968   0.358560     0.170581     -0.023389   \n",
       "compactness_mean         0.000096   0.596534     0.506124      0.236702   \n",
       "concavity_mean           0.050080   0.696360     0.676764      0.302418   \n",
       "concave points_mean      0.044158   0.776614     0.822529      0.293464   \n",
       "symmetry_mean           -0.022114   0.330499     0.147741      0.071401   \n",
       "fractal_dimension_mean  -0.052511  -0.012838    -0.311631     -0.076437   \n",
       "radius_se                0.143048   0.567134     0.679090      0.275869   \n",
       "texture_se              -0.007526  -0.008303    -0.097317      0.386358   \n",
       "perimeter_se             0.137331   0.556141     0.674172      0.281673   \n",
       "area_se                  0.177742   0.548236     0.735864      0.259845   \n",
       "smoothness_se            0.096781  -0.067016    -0.222600      0.006614   \n",
       "compactness_se           0.033961   0.292999     0.206000      0.191975   \n",
       "concavity_se             0.055239   0.253730     0.194204      0.143293   \n",
       "concave points_se        0.078768   0.408042     0.376169      0.163851   \n",
       "symmetry_se             -0.017306  -0.006522    -0.104321      0.009127   \n",
       "fractal_dimension_se     0.025725   0.077972    -0.042641      0.054458   \n",
       "radius_worst             0.082405   0.776454     0.969539      0.352573   \n",
       "texture_worst            0.064720   0.456903     0.297008      0.912045   \n",
       "perimeter_worst          0.079986   0.782914     0.965137      0.358040   \n",
       "area_worst               0.107187   0.733825     0.941082      0.343546   \n",
       "smoothness_worst         0.010338   0.421465     0.119616      0.077503   \n",
       "compactness_worst       -0.002968   0.590998     0.413463      0.277830   \n",
       "concavity_worst          0.023203   0.659610     0.526911      0.301025   \n",
       "concave points_worst     0.035174   0.793566     0.744214      0.295316   \n",
       "symmetry_worst          -0.044224   0.416294     0.163953      0.105008   \n",
       "fractal_dimension_worst -0.029866   0.323872     0.007066      0.119205   \n",
       "\n",
       "                         perimeter_mean  area_mean  smoothness_mean  \\\n",
       "id                             0.073159   0.096893        -0.012968   \n",
       "diagnosis                      0.742636   0.708984         0.358560   \n",
       "radius_mean                    0.997855   0.987357         0.170581   \n",
       "texture_mean                   0.329533   0.321086        -0.023389   \n",
       "perimeter_mean                 1.000000   0.986507         0.207278   \n",
       "area_mean                      0.986507   1.000000         0.177028   \n",
       "smoothness_mean                0.207278   0.177028         1.000000   \n",
       "compactness_mean               0.556936   0.498502         0.659123   \n",
       "concavity_mean                 0.716136   0.685983         0.521984   \n",
       "concave points_mean            0.850977   0.823269         0.553695   \n",
       "symmetry_mean                  0.183027   0.151293         0.557775   \n",
       "fractal_dimension_mean        -0.261477  -0.283110         0.584792   \n",
       "radius_se                      0.691765   0.732562         0.301467   \n",
       "texture_se                    -0.086761  -0.066280         0.068406   \n",
       "perimeter_se                   0.693135   0.726628         0.296092   \n",
       "area_se                        0.744983   0.800086         0.246552   \n",
       "smoothness_se                 -0.202694  -0.166777         0.332375   \n",
       "compactness_se                 0.250744   0.212583         0.318943   \n",
       "concavity_se                   0.228082   0.207660         0.248396   \n",
       "concave points_se              0.407217   0.372320         0.380676   \n",
       "symmetry_se                   -0.081629  -0.072497         0.200774   \n",
       "fractal_dimension_se          -0.005523  -0.019887         0.283607   \n",
       "radius_worst                   0.969476   0.962746         0.213120   \n",
       "texture_worst                  0.303038   0.287489         0.036072   \n",
       "perimeter_worst                0.970387   0.959120         0.238853   \n",
       "area_worst                     0.941550   0.959213         0.206718   \n",
       "smoothness_worst               0.150549   0.123523         0.805324   \n",
       "compactness_worst              0.455774   0.390410         0.472468   \n",
       "concavity_worst                0.563879   0.512606         0.434926   \n",
       "concave points_worst           0.771241   0.722017         0.503053   \n",
       "symmetry_worst                 0.189115   0.143570         0.394309   \n",
       "fractal_dimension_worst        0.051019   0.003738         0.499316   \n",
       "\n",
       "                         compactness_mean  concavity_mean  \\\n",
       "id                               0.000096        0.050080   \n",
       "diagnosis                        0.596534        0.696360   \n",
       "radius_mean                      0.506124        0.676764   \n",
       "texture_mean                     0.236702        0.302418   \n",
       "perimeter_mean                   0.556936        0.716136   \n",
       "area_mean                        0.498502        0.685983   \n",
       "smoothness_mean                  0.659123        0.521984   \n",
       "compactness_mean                 1.000000        0.883121   \n",
       "concavity_mean                   0.883121        1.000000   \n",
       "concave points_mean              0.831135        0.921391   \n",
       "symmetry_mean                    0.602641        0.500667   \n",
       "fractal_dimension_mean           0.565369        0.336783   \n",
       "radius_se                        0.497473        0.631925   \n",
       "texture_se                       0.046205        0.076218   \n",
       "perimeter_se                     0.548905        0.660391   \n",
       "area_se                          0.455653        0.617427   \n",
       "smoothness_se                    0.135299        0.098564   \n",
       "compactness_se                   0.738722        0.670279   \n",
       "concavity_se                     0.570517        0.691270   \n",
       "concave points_se                0.642262        0.683260   \n",
       "symmetry_se                      0.229977        0.178009   \n",
       "fractal_dimension_se             0.507318        0.449301   \n",
       "radius_worst                     0.535315        0.688236   \n",
       "texture_worst                    0.248133        0.299879   \n",
       "perimeter_worst                  0.590210        0.729565   \n",
       "area_worst                       0.509604        0.675987   \n",
       "smoothness_worst                 0.565541        0.448822   \n",
       "compactness_worst                0.865809        0.754968   \n",
       "concavity_worst                  0.816275        0.884103   \n",
       "concave points_worst             0.815573        0.861323   \n",
       "symmetry_worst                   0.510223        0.409464   \n",
       "fractal_dimension_worst          0.687382        0.514930   \n",
       "\n",
       "                         concave points_mean  ...  radius_worst  \\\n",
       "id                                  0.044158  ...      0.082405   \n",
       "diagnosis                           0.776614  ...      0.776454   \n",
       "radius_mean                         0.822529  ...      0.969539   \n",
       "texture_mean                        0.293464  ...      0.352573   \n",
       "perimeter_mean                      0.850977  ...      0.969476   \n",
       "area_mean                           0.823269  ...      0.962746   \n",
       "smoothness_mean                     0.553695  ...      0.213120   \n",
       "compactness_mean                    0.831135  ...      0.535315   \n",
       "concavity_mean                      0.921391  ...      0.688236   \n",
       "concave points_mean                 1.000000  ...      0.830318   \n",
       "symmetry_mean                       0.462497  ...      0.185728   \n",
       "fractal_dimension_mean              0.166917  ...     -0.253691   \n",
       "radius_se                           0.698050  ...      0.715065   \n",
       "texture_se                          0.021480  ...     -0.111690   \n",
       "perimeter_se                        0.710650  ...      0.697201   \n",
       "area_se                             0.690299  ...      0.757373   \n",
       "smoothness_se                       0.027653  ...     -0.230691   \n",
       "compactness_se                      0.490424  ...      0.204607   \n",
       "concavity_se                        0.439167  ...      0.186904   \n",
       "concave points_se                   0.615634  ...      0.358127   \n",
       "symmetry_se                         0.095351  ...     -0.128121   \n",
       "fractal_dimension_se                0.257584  ...     -0.037488   \n",
       "radius_worst                        0.830318  ...      1.000000   \n",
       "texture_worst                       0.292752  ...      0.359921   \n",
       "perimeter_worst                     0.855923  ...      0.993708   \n",
       "area_worst                          0.809630  ...      0.984015   \n",
       "smoothness_worst                    0.452753  ...      0.216574   \n",
       "compactness_worst                   0.667454  ...      0.475820   \n",
       "concavity_worst                     0.752399  ...      0.573975   \n",
       "concave points_worst                0.910155  ...      0.787424   \n",
       "symmetry_worst                      0.375744  ...      0.243529   \n",
       "fractal_dimension_worst             0.368661  ...      0.093492   \n",
       "\n",
       "                         texture_worst  perimeter_worst  area_worst  \\\n",
       "id                            0.064720         0.079986    0.107187   \n",
       "diagnosis                     0.456903         0.782914    0.733825   \n",
       "radius_mean                   0.297008         0.965137    0.941082   \n",
       "texture_mean                  0.912045         0.358040    0.343546   \n",
       "perimeter_mean                0.303038         0.970387    0.941550   \n",
       "area_mean                     0.287489         0.959120    0.959213   \n",
       "smoothness_mean               0.036072         0.238853    0.206718   \n",
       "compactness_mean              0.248133         0.590210    0.509604   \n",
       "concavity_mean                0.299879         0.729565    0.675987   \n",
       "concave points_mean           0.292752         0.855923    0.809630   \n",
       "symmetry_mean                 0.090651         0.219169    0.177193   \n",
       "fractal_dimension_mean       -0.051269        -0.205151   -0.231854   \n",
       "radius_se                     0.194799         0.719684    0.751548   \n",
       "texture_se                    0.409003        -0.102242   -0.083195   \n",
       "perimeter_se                  0.200371         0.721031    0.730713   \n",
       "area_se                       0.196497         0.761213    0.811408   \n",
       "smoothness_se                -0.074743        -0.217304   -0.182195   \n",
       "compactness_se                0.143003         0.260516    0.199371   \n",
       "concavity_se                  0.100241         0.226680    0.188353   \n",
       "concave points_se             0.086741         0.394999    0.342271   \n",
       "symmetry_se                  -0.077473        -0.103753   -0.110343   \n",
       "fractal_dimension_se         -0.003195        -0.001000   -0.022736   \n",
       "radius_worst                  0.359921         0.993708    0.984015   \n",
       "texture_worst                 1.000000         0.365098    0.345842   \n",
       "perimeter_worst               0.365098         1.000000    0.977578   \n",
       "area_worst                    0.345842         0.977578    1.000000   \n",
       "smoothness_worst              0.225429         0.236775    0.209145   \n",
       "compactness_worst             0.360832         0.529408    0.438296   \n",
       "concavity_worst               0.368366         0.618344    0.543331   \n",
       "concave points_worst          0.359755         0.816322    0.747419   \n",
       "symmetry_worst                0.233027         0.269493    0.209146   \n",
       "fractal_dimension_worst       0.219122         0.138957    0.079647   \n",
       "\n",
       "                         smoothness_worst  compactness_worst  concavity_worst  \\\n",
       "id                               0.010338          -0.002968         0.023203   \n",
       "diagnosis                        0.421465           0.590998         0.659610   \n",
       "radius_mean                      0.119616           0.413463         0.526911   \n",
       "texture_mean                     0.077503           0.277830         0.301025   \n",
       "perimeter_mean                   0.150549           0.455774         0.563879   \n",
       "area_mean                        0.123523           0.390410         0.512606   \n",
       "smoothness_mean                  0.805324           0.472468         0.434926   \n",
       "compactness_mean                 0.565541           0.865809         0.816275   \n",
       "concavity_mean                   0.448822           0.754968         0.884103   \n",
       "concave points_mean              0.452753           0.667454         0.752399   \n",
       "symmetry_mean                    0.426675           0.473200         0.433721   \n",
       "fractal_dimension_mean           0.504942           0.458798         0.346234   \n",
       "radius_se                        0.141919           0.287103         0.380585   \n",
       "texture_se                      -0.073658          -0.092439        -0.068956   \n",
       "perimeter_se                     0.130054           0.341919         0.418899   \n",
       "area_se                          0.125389           0.283257         0.385100   \n",
       "smoothness_se                    0.314457          -0.055558        -0.058298   \n",
       "compactness_se                   0.227394           0.678780         0.639147   \n",
       "concavity_se                     0.168481           0.484858         0.662564   \n",
       "concave points_se                0.215351           0.452888         0.549592   \n",
       "symmetry_se                     -0.012662           0.060255         0.037119   \n",
       "fractal_dimension_se             0.170568           0.390159         0.379975   \n",
       "radius_worst                     0.216574           0.475820         0.573975   \n",
       "texture_worst                    0.225429           0.360832         0.368366   \n",
       "perimeter_worst                  0.236775           0.529408         0.618344   \n",
       "area_worst                       0.209145           0.438296         0.543331   \n",
       "smoothness_worst                 1.000000           0.568187         0.518523   \n",
       "compactness_worst                0.568187           1.000000         0.892261   \n",
       "concavity_worst                  0.518523           0.892261         1.000000   \n",
       "concave points_worst             0.547691           0.801080         0.855434   \n",
       "symmetry_worst                   0.493838           0.614441         0.532520   \n",
       "fractal_dimension_worst          0.617624           0.810455         0.686511   \n",
       "\n",
       "                         concave points_worst  symmetry_worst  \\\n",
       "id                                   0.035174       -0.044224   \n",
       "diagnosis                            0.793566        0.416294   \n",
       "radius_mean                          0.744214        0.163953   \n",
       "texture_mean                         0.295316        0.105008   \n",
       "perimeter_mean                       0.771241        0.189115   \n",
       "area_mean                            0.722017        0.143570   \n",
       "smoothness_mean                      0.503053        0.394309   \n",
       "compactness_mean                     0.815573        0.510223   \n",
       "concavity_mean                       0.861323        0.409464   \n",
       "concave points_mean                  0.910155        0.375744   \n",
       "symmetry_mean                        0.430297        0.699826   \n",
       "fractal_dimension_mean               0.175325        0.334019   \n",
       "radius_se                            0.531062        0.094543   \n",
       "texture_se                          -0.119638       -0.128215   \n",
       "perimeter_se                         0.554897        0.109930   \n",
       "area_se                              0.538166        0.074126   \n",
       "smoothness_se                       -0.102007       -0.107342   \n",
       "compactness_se                       0.483208        0.277878   \n",
       "concavity_se                         0.440472        0.197788   \n",
       "concave points_se                    0.602450        0.143116   \n",
       "symmetry_se                         -0.030413        0.389402   \n",
       "fractal_dimension_se                 0.215204        0.111094   \n",
       "radius_worst                         0.787424        0.243529   \n",
       "texture_worst                        0.359755        0.233027   \n",
       "perimeter_worst                      0.816322        0.269493   \n",
       "area_worst                           0.747419        0.209146   \n",
       "smoothness_worst                     0.547691        0.493838   \n",
       "compactness_worst                    0.801080        0.614441   \n",
       "concavity_worst                      0.855434        0.532520   \n",
       "concave points_worst                 1.000000        0.502528   \n",
       "symmetry_worst                       0.502528        1.000000   \n",
       "fractal_dimension_worst              0.511114        0.537848   \n",
       "\n",
       "                         fractal_dimension_worst  \n",
       "id                                     -0.029866  \n",
       "diagnosis                               0.323872  \n",
       "radius_mean                             0.007066  \n",
       "texture_mean                            0.119205  \n",
       "perimeter_mean                          0.051019  \n",
       "area_mean                               0.003738  \n",
       "smoothness_mean                         0.499316  \n",
       "compactness_mean                        0.687382  \n",
       "concavity_mean                          0.514930  \n",
       "concave points_mean                     0.368661  \n",
       "symmetry_mean                           0.438413  \n",
       "fractal_dimension_mean                  0.767297  \n",
       "radius_se                               0.049559  \n",
       "texture_se                             -0.045655  \n",
       "perimeter_se                            0.085433  \n",
       "area_se                                 0.017539  \n",
       "smoothness_se                           0.101480  \n",
       "compactness_se                          0.590973  \n",
       "concavity_se                            0.439329  \n",
       "concave points_se                       0.310655  \n",
       "symmetry_se                             0.078079  \n",
       "fractal_dimension_se                    0.591328  \n",
       "radius_worst                            0.093492  \n",
       "texture_worst                           0.219122  \n",
       "perimeter_worst                         0.138957  \n",
       "area_worst                              0.079647  \n",
       "smoothness_worst                        0.617624  \n",
       "compactness_worst                       0.810455  \n",
       "concavity_worst                         0.686511  \n",
       "concave points_worst                    0.511114  \n",
       "symmetry_worst                          0.537848  \n",
       "fractal_dimension_worst                 1.000000  \n",
       "\n",
       "[32 rows x 32 columns]"
      ]
     },
     "execution_count": 89,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.corr()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# correlation heatmap of dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1ab961ad588>"
      ]
     },
     "execution_count": 47,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x648 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(15,9))\n",
    "sns.heatmap(df.corr(), annot=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# All columns except id seem to have a strong direct impact on the diagnosis"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# splitting the dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "X = df.iloc[:, 2:30 ].values\n",
    "Y = df.iloc[:, 1].values\n",
    "X_train, X_test, Y_train, Y_test = train_test_split(X,Y, test_size=0.2, random_state=42)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# training model with KNN and SVM"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 91,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([0, 1, 1, 0, 0, 1, 1, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0,\n",
       "       1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 0,\n",
       "       0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 0,\n",
       "       1, 1, 0, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 1,\n",
       "       0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 0, 0, 1, 0, 0,\n",
       "       1, 0, 0, 1])"
      ]
     },
     "execution_count": 91,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "classifier = KNeighborsClassifier()\n",
    "# clssifier = SVC(kernel = 'linear', random_state=0)\n",
    "classifier.fit(X_train,Y_train)\n",
    "Y_pred = classifier.predict(X_test)\n",
    "Y_pred"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 92,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([0, 1, 1, 0, 0, 1, 1, 1, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 0, 1, 1, 0,\n",
       "       1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 0,\n",
       "       0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 0,\n",
       "       1, 1, 0, 0, 1, 1, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 1, 1, 1,\n",
       "       0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 0, 0, 1, 0, 0,\n",
       "       1, 0, 0, 1])"
      ]
     },
     "execution_count": 92,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Y_test"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# training model with KNN and SVM"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 93,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Confusion Matrix:\n",
      "[[71  0]\n",
      " [ 5 38]]\n",
      "Classification Report:\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "           0       0.93      1.00      0.97        71\n",
      "           1       1.00      0.88      0.94        43\n",
      "\n",
      "    accuracy                           0.96       114\n",
      "   macro avg       0.97      0.94      0.95       114\n",
      "weighted avg       0.96      0.96      0.96       114\n",
      "\n",
      "Accuracy: 0.956140350877193\n"
     ]
    }
   ],
   "source": [
    "result = confusion_matrix(Y_test, Y_pred)\n",
    "print(\"Confusion Matrix:\")\n",
    "print(result)\n",
    "result1 = classification_report(Y_test, Y_pred)\n",
    "print(\"Classification Report:\",)\n",
    "print (result1)\n",
    "result2 = accuracy_score(Y_test,Y_pred)\n",
    "print(\"Accuracy:\",result2)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# SVM had an accuracy of 0.956140350877193"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# KNN had an accuracy of 0.956140350877193"
   ]
  }
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