Project 255 Final.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 604,
   "id": "ce60c024",
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np # linear algebra\n",
    "import pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "from sklearn.model_selection import train_test_split\n",
    "from sklearn import preprocessing\n",
    "from sklearn.metrics import precision_score, recall_score, confusion_matrix, classification_report, accuracy_score"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 605,
   "id": "c713f4c0",
   "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>texture_worst</th>\n",
       "      <th>perimeter_worst</th>\n",
       "      <th>area_worst</th>\n",
       "      <th>smoothness_worst</th>\n",
       "      <th>compactness_worst</th>\n",
       "      <th>concavity_worst</th>\n",
       "      <th>concave points_worst</th>\n",
       "      <th>symmetry_worst</th>\n",
       "      <th>fractal_dimension_worst</th>\n",
       "      <th>Unnamed: 32</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>524</th>\n",
       "      <td>917897</td>\n",
       "      <td>B</td>\n",
       "      <td>9.847</td>\n",
       "      <td>15.68</td>\n",
       "      <td>63.00</td>\n",
       "      <td>293.2</td>\n",
       "      <td>0.09492</td>\n",
       "      <td>0.08419</td>\n",
       "      <td>0.023300</td>\n",
       "      <td>0.024160</td>\n",
       "      <td>...</td>\n",
       "      <td>22.99</td>\n",
       "      <td>74.32</td>\n",
       "      <td>376.5</td>\n",
       "      <td>0.14190</td>\n",
       "      <td>0.22430</td>\n",
       "      <td>0.08434</td>\n",
       "      <td>0.06528</td>\n",
       "      <td>0.2502</td>\n",
       "      <td>0.09209</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>192</th>\n",
       "      <td>875099</td>\n",
       "      <td>B</td>\n",
       "      <td>9.720</td>\n",
       "      <td>18.22</td>\n",
       "      <td>60.73</td>\n",
       "      <td>288.1</td>\n",
       "      <td>0.06950</td>\n",
       "      <td>0.02344</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>20.83</td>\n",
       "      <td>62.25</td>\n",
       "      <td>303.8</td>\n",
       "      <td>0.07117</td>\n",
       "      <td>0.02729</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.1909</td>\n",
       "      <td>0.06559</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>235</th>\n",
       "      <td>88249602</td>\n",
       "      <td>B</td>\n",
       "      <td>14.030</td>\n",
       "      <td>21.25</td>\n",
       "      <td>89.79</td>\n",
       "      <td>603.4</td>\n",
       "      <td>0.09070</td>\n",
       "      <td>0.06945</td>\n",
       "      <td>0.014620</td>\n",
       "      <td>0.018960</td>\n",
       "      <td>...</td>\n",
       "      <td>30.28</td>\n",
       "      <td>98.27</td>\n",
       "      <td>715.5</td>\n",
       "      <td>0.12870</td>\n",
       "      <td>0.15130</td>\n",
       "      <td>0.06231</td>\n",
       "      <td>0.07963</td>\n",
       "      <td>0.2226</td>\n",
       "      <td>0.07617</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>306</th>\n",
       "      <td>89344</td>\n",
       "      <td>B</td>\n",
       "      <td>13.200</td>\n",
       "      <td>15.82</td>\n",
       "      <td>84.07</td>\n",
       "      <td>537.3</td>\n",
       "      <td>0.08511</td>\n",
       "      <td>0.05251</td>\n",
       "      <td>0.001461</td>\n",
       "      <td>0.003261</td>\n",
       "      <td>...</td>\n",
       "      <td>20.45</td>\n",
       "      <td>92.00</td>\n",
       "      <td>636.9</td>\n",
       "      <td>0.11280</td>\n",
       "      <td>0.13460</td>\n",
       "      <td>0.01120</td>\n",
       "      <td>0.02500</td>\n",
       "      <td>0.2651</td>\n",
       "      <td>0.08385</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>412</th>\n",
       "      <td>905539</td>\n",
       "      <td>B</td>\n",
       "      <td>9.397</td>\n",
       "      <td>21.68</td>\n",
       "      <td>59.75</td>\n",
       "      <td>268.8</td>\n",
       "      <td>0.07969</td>\n",
       "      <td>0.06053</td>\n",
       "      <td>0.037350</td>\n",
       "      <td>0.005128</td>\n",
       "      <td>...</td>\n",
       "      <td>27.99</td>\n",
       "      <td>66.61</td>\n",
       "      <td>301.0</td>\n",
       "      <td>0.10860</td>\n",
       "      <td>0.18870</td>\n",
       "      <td>0.18680</td>\n",
       "      <td>0.02564</td>\n",
       "      <td>0.2376</td>\n",
       "      <td>0.09206</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 33 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "           id diagnosis  radius_mean  texture_mean  perimeter_mean  area_mean  \\\n",
       "524    917897         B        9.847         15.68           63.00      293.2   \n",
       "192    875099         B        9.720         18.22           60.73      288.1   \n",
       "235  88249602         B       14.030         21.25           89.79      603.4   \n",
       "306     89344         B       13.200         15.82           84.07      537.3   \n",
       "412    905539         B        9.397         21.68           59.75      268.8   \n",
       "\n",
       "     smoothness_mean  compactness_mean  concavity_mean  concave points_mean  \\\n",
       "524          0.09492           0.08419        0.023300             0.024160   \n",
       "192          0.06950           0.02344        0.000000             0.000000   \n",
       "235          0.09070           0.06945        0.014620             0.018960   \n",
       "306          0.08511           0.05251        0.001461             0.003261   \n",
       "412          0.07969           0.06053        0.037350             0.005128   \n",
       "\n",
       "     ...  texture_worst  perimeter_worst  area_worst  smoothness_worst  \\\n",
       "524  ...          22.99            74.32       376.5           0.14190   \n",
       "192  ...          20.83            62.25       303.8           0.07117   \n",
       "235  ...          30.28            98.27       715.5           0.12870   \n",
       "306  ...          20.45            92.00       636.9           0.11280   \n",
       "412  ...          27.99            66.61       301.0           0.10860   \n",
       "\n",
       "     compactness_worst  concavity_worst  concave points_worst  symmetry_worst  \\\n",
       "524            0.22430          0.08434               0.06528          0.2502   \n",
       "192            0.02729          0.00000               0.00000          0.1909   \n",
       "235            0.15130          0.06231               0.07963          0.2226   \n",
       "306            0.13460          0.01120               0.02500          0.2651   \n",
       "412            0.18870          0.18680               0.02564          0.2376   \n",
       "\n",
       "     fractal_dimension_worst  Unnamed: 32  \n",
       "524                  0.09209          NaN  \n",
       "192                  0.06559          NaN  \n",
       "235                  0.07617          NaN  \n",
       "306                  0.08385          NaN  \n",
       "412                  0.09206          NaN  \n",
       "\n",
       "[5 rows x 33 columns]"
      ]
     },
     "execution_count": 605,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.read_csv('data.csv')\n",
    "df.sample(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 606,
   "id": "586ea8bc",
   "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",
       "       'symmetry_worst', 'fractal_dimension_worst', 'Unnamed: 32'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 606,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.columns"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2c212f52",
   "metadata": {},
   "source": [
    "**REMOVING UNNAMED COLUMN**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 607,
   "id": "76167b25",
   "metadata": {},
   "outputs": [],
   "source": [
    "df.drop(columns='Unnamed: 32', axis = 1, inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 608,
   "id": "24e84ce8",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 569 entries, 0 to 568\n",
      "Data columns (total 32 columns):\n",
      " #   Column                   Non-Null Count  Dtype  \n",
      "---  ------                   --------------  -----  \n",
      " 0   id                       569 non-null    int64  \n",
      " 1   diagnosis                569 non-null    object \n",
      " 2   radius_mean              569 non-null    float64\n",
      " 3   texture_mean             569 non-null    float64\n",
      " 4   perimeter_mean           569 non-null    float64\n",
      " 5   area_mean                569 non-null    float64\n",
      " 6   smoothness_mean          569 non-null    float64\n",
      " 7   compactness_mean         569 non-null    float64\n",
      " 8   concavity_mean           569 non-null    float64\n",
      " 9   concave points_mean      569 non-null    float64\n",
      " 10  symmetry_mean            569 non-null    float64\n",
      " 11  fractal_dimension_mean   569 non-null    float64\n",
      " 12  radius_se                569 non-null    float64\n",
      " 13  texture_se               569 non-null    float64\n",
      " 14  perimeter_se             569 non-null    float64\n",
      " 15  area_se                  569 non-null    float64\n",
      " 16  smoothness_se            569 non-null    float64\n",
      " 17  compactness_se           569 non-null    float64\n",
      " 18  concavity_se             569 non-null    float64\n",
      " 19  concave points_se        569 non-null    float64\n",
      " 20  symmetry_se              569 non-null    float64\n",
      " 21  fractal_dimension_se     569 non-null    float64\n",
      " 22  radius_worst             569 non-null    float64\n",
      " 23  texture_worst            569 non-null    float64\n",
      " 24  perimeter_worst          569 non-null    float64\n",
      " 25  area_worst               569 non-null    float64\n",
      " 26  smoothness_worst         569 non-null    float64\n",
      " 27  compactness_worst        569 non-null    float64\n",
      " 28  concavity_worst          569 non-null    float64\n",
      " 29  concave points_worst     569 non-null    float64\n",
      " 30  symmetry_worst           569 non-null    float64\n",
      " 31  fractal_dimension_worst  569 non-null    float64\n",
      "dtypes: float64(30), int64(1), object(1)\n",
      "memory usage: 142.4+ KB\n"
     ]
    }
   ],
   "source": [
    "df.info()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "42c18f38",
   "metadata": {},
   "source": [
    "**ID COLUMN IS CATEGORICAL, NOMINAL VARIABLE. IT COULD NOT HELP FOR ANALYSIS.**\n",
    "**DIAGNOSIS COLUMN (OUTPUT) IS CATEGORICAL COLUMN AND ALL INPUTS COLUMNS NOW ARE NUMERICAL**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 609,
   "id": "4a0be175",
   "metadata": {},
   "outputs": [],
   "source": [
    "df.drop(columns='id', axis=1, inplace=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2b062132",
   "metadata": {},
   "source": [
    "**ENSURING NO MISSING VALUES IN DATA**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 610,
   "id": "afe27cee",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "diagnosis                  0\n",
       "radius_mean                0\n",
       "texture_mean               0\n",
       "perimeter_mean             0\n",
       "area_mean                  0\n",
       "smoothness_mean            0\n",
       "compactness_mean           0\n",
       "concavity_mean             0\n",
       "concave points_mean        0\n",
       "symmetry_mean              0\n",
       "fractal_dimension_mean     0\n",
       "radius_se                  0\n",
       "texture_se                 0\n",
       "perimeter_se               0\n",
       "area_se                    0\n",
       "smoothness_se              0\n",
       "compactness_se             0\n",
       "concavity_se               0\n",
       "concave points_se          0\n",
       "symmetry_se                0\n",
       "fractal_dimension_se       0\n",
       "radius_worst               0\n",
       "texture_worst              0\n",
       "perimeter_worst            0\n",
       "area_worst                 0\n",
       "smoothness_worst           0\n",
       "compactness_worst          0\n",
       "concavity_worst            0\n",
       "concave points_worst       0\n",
       "symmetry_worst             0\n",
       "fractal_dimension_worst    0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 610,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.isnull().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 611,
   "id": "e0d7785f",
   "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>radius_mean</th>\n",
       "      <th>texture_mean</th>\n",
       "      <th>perimeter_mean</th>\n",
       "      <th>area_mean</th>\n",
       "      <th>smoothness_mean</th>\n",
       "      <th>compactness_mean</th>\n",
       "      <th>concavity_mean</th>\n",
       "      <th>concave points_mean</th>\n",
       "      <th>symmetry_mean</th>\n",
       "      <th>fractal_dimension_mean</th>\n",
       "      <th>...</th>\n",
       "      <th>radius_worst</th>\n",
       "      <th>texture_worst</th>\n",
       "      <th>perimeter_worst</th>\n",
       "      <th>area_worst</th>\n",
       "      <th>smoothness_worst</th>\n",
       "      <th>compactness_worst</th>\n",
       "      <th>concavity_worst</th>\n",
       "      <th>concave points_worst</th>\n",
       "      <th>symmetry_worst</th>\n",
       "      <th>fractal_dimension_worst</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>569.000000</td>\n",
       "      <td>569.000000</td>\n",
       "      <td>569.000000</td>\n",
       "      <td>569.000000</td>\n",
       "      <td>569.000000</td>\n",
       "      <td>569.000000</td>\n",
       "      <td>569.000000</td>\n",
       "      <td>569.000000</td>\n",
       "      <td>569.000000</td>\n",
       "      <td>569.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>569.000000</td>\n",
       "      <td>569.000000</td>\n",
       "      <td>569.000000</td>\n",
       "      <td>569.000000</td>\n",
       "      <td>569.000000</td>\n",
       "      <td>569.000000</td>\n",
       "      <td>569.000000</td>\n",
       "      <td>569.000000</td>\n",
       "      <td>569.000000</td>\n",
       "      <td>569.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>14.127292</td>\n",
       "      <td>19.289649</td>\n",
       "      <td>91.969033</td>\n",
       "      <td>654.889104</td>\n",
       "      <td>0.096360</td>\n",
       "      <td>0.104341</td>\n",
       "      <td>0.088799</td>\n",
       "      <td>0.048919</td>\n",
       "      <td>0.181162</td>\n",
       "      <td>0.062798</td>\n",
       "      <td>...</td>\n",
       "      <td>16.269190</td>\n",
       "      <td>25.677223</td>\n",
       "      <td>107.261213</td>\n",
       "      <td>880.583128</td>\n",
       "      <td>0.132369</td>\n",
       "      <td>0.254265</td>\n",
       "      <td>0.272188</td>\n",
       "      <td>0.114606</td>\n",
       "      <td>0.290076</td>\n",
       "      <td>0.083946</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>3.524049</td>\n",
       "      <td>4.301036</td>\n",
       "      <td>24.298981</td>\n",
       "      <td>351.914129</td>\n",
       "      <td>0.014064</td>\n",
       "      <td>0.052813</td>\n",
       "      <td>0.079720</td>\n",
       "      <td>0.038803</td>\n",
       "      <td>0.027414</td>\n",
       "      <td>0.007060</td>\n",
       "      <td>...</td>\n",
       "      <td>4.833242</td>\n",
       "      <td>6.146258</td>\n",
       "      <td>33.602542</td>\n",
       "      <td>569.356993</td>\n",
       "      <td>0.022832</td>\n",
       "      <td>0.157336</td>\n",
       "      <td>0.208624</td>\n",
       "      <td>0.065732</td>\n",
       "      <td>0.061867</td>\n",
       "      <td>0.018061</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>6.981000</td>\n",
       "      <td>9.710000</td>\n",
       "      <td>43.790000</td>\n",
       "      <td>143.500000</td>\n",
       "      <td>0.052630</td>\n",
       "      <td>0.019380</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.106000</td>\n",
       "      <td>0.049960</td>\n",
       "      <td>...</td>\n",
       "      <td>7.930000</td>\n",
       "      <td>12.020000</td>\n",
       "      <td>50.410000</td>\n",
       "      <td>185.200000</td>\n",
       "      <td>0.071170</td>\n",
       "      <td>0.027290</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.156500</td>\n",
       "      <td>0.055040</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>11.700000</td>\n",
       "      <td>16.170000</td>\n",
       "      <td>75.170000</td>\n",
       "      <td>420.300000</td>\n",
       "      <td>0.086370</td>\n",
       "      <td>0.064920</td>\n",
       "      <td>0.029560</td>\n",
       "      <td>0.020310</td>\n",
       "      <td>0.161900</td>\n",
       "      <td>0.057700</td>\n",
       "      <td>...</td>\n",
       "      <td>13.010000</td>\n",
       "      <td>21.080000</td>\n",
       "      <td>84.110000</td>\n",
       "      <td>515.300000</td>\n",
       "      <td>0.116600</td>\n",
       "      <td>0.147200</td>\n",
       "      <td>0.114500</td>\n",
       "      <td>0.064930</td>\n",
       "      <td>0.250400</td>\n",
       "      <td>0.071460</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>13.370000</td>\n",
       "      <td>18.840000</td>\n",
       "      <td>86.240000</td>\n",
       "      <td>551.100000</td>\n",
       "      <td>0.095870</td>\n",
       "      <td>0.092630</td>\n",
       "      <td>0.061540</td>\n",
       "      <td>0.033500</td>\n",
       "      <td>0.179200</td>\n",
       "      <td>0.061540</td>\n",
       "      <td>...</td>\n",
       "      <td>14.970000</td>\n",
       "      <td>25.410000</td>\n",
       "      <td>97.660000</td>\n",
       "      <td>686.500000</td>\n",
       "      <td>0.131300</td>\n",
       "      <td>0.211900</td>\n",
       "      <td>0.226700</td>\n",
       "      <td>0.099930</td>\n",
       "      <td>0.282200</td>\n",
       "      <td>0.080040</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>15.780000</td>\n",
       "      <td>21.800000</td>\n",
       "      <td>104.100000</td>\n",
       "      <td>782.700000</td>\n",
       "      <td>0.105300</td>\n",
       "      <td>0.130400</td>\n",
       "      <td>0.130700</td>\n",
       "      <td>0.074000</td>\n",
       "      <td>0.195700</td>\n",
       "      <td>0.066120</td>\n",
       "      <td>...</td>\n",
       "      <td>18.790000</td>\n",
       "      <td>29.720000</td>\n",
       "      <td>125.400000</td>\n",
       "      <td>1084.000000</td>\n",
       "      <td>0.146000</td>\n",
       "      <td>0.339100</td>\n",
       "      <td>0.382900</td>\n",
       "      <td>0.161400</td>\n",
       "      <td>0.317900</td>\n",
       "      <td>0.092080</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>28.110000</td>\n",
       "      <td>39.280000</td>\n",
       "      <td>188.500000</td>\n",
       "      <td>2501.000000</td>\n",
       "      <td>0.163400</td>\n",
       "      <td>0.345400</td>\n",
       "      <td>0.426800</td>\n",
       "      <td>0.201200</td>\n",
       "      <td>0.304000</td>\n",
       "      <td>0.097440</td>\n",
       "      <td>...</td>\n",
       "      <td>36.040000</td>\n",
       "      <td>49.540000</td>\n",
       "      <td>251.200000</td>\n",
       "      <td>4254.000000</td>\n",
       "      <td>0.222600</td>\n",
       "      <td>1.058000</td>\n",
       "      <td>1.252000</td>\n",
       "      <td>0.291000</td>\n",
       "      <td>0.663800</td>\n",
       "      <td>0.207500</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>8 rows × 30 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       radius_mean  texture_mean  perimeter_mean    area_mean  \\\n",
       "count   569.000000    569.000000      569.000000   569.000000   \n",
       "mean     14.127292     19.289649       91.969033   654.889104   \n",
       "std       3.524049      4.301036       24.298981   351.914129   \n",
       "min       6.981000      9.710000       43.790000   143.500000   \n",
       "25%      11.700000     16.170000       75.170000   420.300000   \n",
       "50%      13.370000     18.840000       86.240000   551.100000   \n",
       "75%      15.780000     21.800000      104.100000   782.700000   \n",
       "max      28.110000     39.280000      188.500000  2501.000000   \n",
       "\n",
       "       smoothness_mean  compactness_mean  concavity_mean  concave points_mean  \\\n",
       "count       569.000000        569.000000      569.000000           569.000000   \n",
       "mean          0.096360          0.104341        0.088799             0.048919   \n",
       "std           0.014064          0.052813        0.079720             0.038803   \n",
       "min           0.052630          0.019380        0.000000             0.000000   \n",
       "25%           0.086370          0.064920        0.029560             0.020310   \n",
       "50%           0.095870          0.092630        0.061540             0.033500   \n",
       "75%           0.105300          0.130400        0.130700             0.074000   \n",
       "max           0.163400          0.345400        0.426800             0.201200   \n",
       "\n",
       "       symmetry_mean  fractal_dimension_mean  ...  radius_worst  \\\n",
       "count     569.000000              569.000000  ...    569.000000   \n",
       "mean        0.181162                0.062798  ...     16.269190   \n",
       "std         0.027414                0.007060  ...      4.833242   \n",
       "min         0.106000                0.049960  ...      7.930000   \n",
       "25%         0.161900                0.057700  ...     13.010000   \n",
       "50%         0.179200                0.061540  ...     14.970000   \n",
       "75%         0.195700                0.066120  ...     18.790000   \n",
       "max         0.304000                0.097440  ...     36.040000   \n",
       "\n",
       "       texture_worst  perimeter_worst   area_worst  smoothness_worst  \\\n",
       "count     569.000000       569.000000   569.000000        569.000000   \n",
       "mean       25.677223       107.261213   880.583128          0.132369   \n",
       "std         6.146258        33.602542   569.356993          0.022832   \n",
       "min        12.020000        50.410000   185.200000          0.071170   \n",
       "25%        21.080000        84.110000   515.300000          0.116600   \n",
       "50%        25.410000        97.660000   686.500000          0.131300   \n",
       "75%        29.720000       125.400000  1084.000000          0.146000   \n",
       "max        49.540000       251.200000  4254.000000          0.222600   \n",
       "\n",
       "       compactness_worst  concavity_worst  concave points_worst  \\\n",
       "count         569.000000       569.000000            569.000000   \n",
       "mean            0.254265         0.272188              0.114606   \n",
       "std             0.157336         0.208624              0.065732   \n",
       "min             0.027290         0.000000              0.000000   \n",
       "25%             0.147200         0.114500              0.064930   \n",
       "50%             0.211900         0.226700              0.099930   \n",
       "75%             0.339100         0.382900              0.161400   \n",
       "max             1.058000         1.252000              0.291000   \n",
       "\n",
       "       symmetry_worst  fractal_dimension_worst  \n",
       "count      569.000000               569.000000  \n",
       "mean         0.290076                 0.083946  \n",
       "std          0.061867                 0.018061  \n",
       "min          0.156500                 0.055040  \n",
       "25%          0.250400                 0.071460  \n",
       "50%          0.282200                 0.080040  \n",
       "75%          0.317900                 0.092080  \n",
       "max          0.663800                 0.207500  \n",
       "\n",
       "[8 rows x 30 columns]"
      ]
     },
     "execution_count": 611,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 612,
   "id": "8070c6b2",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "B    357\n",
       "M    212\n",
       "Name: diagnosis, dtype: int64"
      ]
     },
     "execution_count": 612,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['diagnosis'].value_counts()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6bcb16e5",
   "metadata": {},
   "source": [
    "**ENCODING THE TARGET COLUMN**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 613,
   "id": "00c16c35",
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.preprocessing import LabelEncoder\n",
    "\n",
    "le = LabelEncoder()\n",
    "\n",
    "labels = le.fit_transform(df['diagnosis'])\n",
    "\n",
    "df['target'] = labels\n",
    "\n",
    "df.drop(columns='diagnosis', axis=1, inplace=True)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "55ae8751",
   "metadata": {},
   "source": [
    "# **FEATURE ENGINEERING**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 614,
   "id": "8ffc85ec",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_copy = df.copy()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 615,
   "id": "7a03f5c5",
   "metadata": {},
   "outputs": [],
   "source": [
    "correlation_matrix = df_copy.corr()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 616,
   "id": "882cf193",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1440x1440 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(20,20))\n",
    "sns.heatmap(correlation_matrix, cbar=True, fmt='.1f', annot=True, cmap=\"BuGn\")\n",
    "plt.savefig('Correlation Heat map')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 617,
   "id": "2dae0020",
   "metadata": {},
   "outputs": [],
   "source": [
    "hashmap = {}\n",
    "\n",
    "for column in df_copy.columns:\n",
    "    correlation = df_copy[column].corr(df_copy[\"target\"])\n",
    "    if correlation >= 0.65:\n",
    "#         if column == \"target\":\n",
    "#             continue\n",
    "        \n",
    "        hashmap[column] = correlation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 618,
   "id": "8a65fdee",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'radius_mean': 0.730028511375456,\n",
       " 'perimeter_mean': 0.7426355297258328,\n",
       " 'area_mean': 0.7089838365853895,\n",
       " 'concavity_mean': 0.6963597071719053,\n",
       " 'concave points_mean': 0.7766138400204353,\n",
       " 'radius_worst': 0.7764537785950392,\n",
       " 'perimeter_worst': 0.7829141371737587,\n",
       " 'area_worst': 0.7338250349210507,\n",
       " 'concavity_worst': 0.6596102103692327,\n",
       " 'concave points_worst': 0.7935660171412696,\n",
       " 'target': 1.0}"
      ]
     },
     "execution_count": 618,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "hashmap"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 619,
   "id": "60888303",
   "metadata": {},
   "outputs": [],
   "source": [
    "column_list = []\n",
    "for keys in hashmap.keys():\n",
    "    column_list.append(keys)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 620,
   "id": "d7a876b3",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>radius_mean</th>\n",
       "      <th>perimeter_mean</th>\n",
       "      <th>area_mean</th>\n",
       "      <th>concavity_mean</th>\n",
       "      <th>concave points_mean</th>\n",
       "      <th>radius_worst</th>\n",
       "      <th>perimeter_worst</th>\n",
       "      <th>area_worst</th>\n",
       "      <th>concavity_worst</th>\n",
       "      <th>concave points_worst</th>\n",
       "      <th>target</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>17.99</td>\n",
       "      <td>122.80</td>\n",
       "      <td>1001.0</td>\n",
       "      <td>0.30010</td>\n",
       "      <td>0.14710</td>\n",
       "      <td>25.380</td>\n",
       "      <td>184.60</td>\n",
       "      <td>2019.0</td>\n",
       "      <td>0.7119</td>\n",
       "      <td>0.2654</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>20.57</td>\n",
       "      <td>132.90</td>\n",
       "      <td>1326.0</td>\n",
       "      <td>0.08690</td>\n",
       "      <td>0.07017</td>\n",
       "      <td>24.990</td>\n",
       "      <td>158.80</td>\n",
       "      <td>1956.0</td>\n",
       "      <td>0.2416</td>\n",
       "      <td>0.1860</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>19.69</td>\n",
       "      <td>130.00</td>\n",
       "      <td>1203.0</td>\n",
       "      <td>0.19740</td>\n",
       "      <td>0.12790</td>\n",
       "      <td>23.570</td>\n",
       "      <td>152.50</td>\n",
       "      <td>1709.0</td>\n",
       "      <td>0.4504</td>\n",
       "      <td>0.2430</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>11.42</td>\n",
       "      <td>77.58</td>\n",
       "      <td>386.1</td>\n",
       "      <td>0.24140</td>\n",
       "      <td>0.10520</td>\n",
       "      <td>14.910</td>\n",
       "      <td>98.87</td>\n",
       "      <td>567.7</td>\n",
       "      <td>0.6869</td>\n",
       "      <td>0.2575</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>20.29</td>\n",
       "      <td>135.10</td>\n",
       "      <td>1297.0</td>\n",
       "      <td>0.19800</td>\n",
       "      <td>0.10430</td>\n",
       "      <td>22.540</td>\n",
       "      <td>152.20</td>\n",
       "      <td>1575.0</td>\n",
       "      <td>0.4000</td>\n",
       "      <td>0.1625</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>564</th>\n",
       "      <td>21.56</td>\n",
       "      <td>142.00</td>\n",
       "      <td>1479.0</td>\n",
       "      <td>0.24390</td>\n",
       "      <td>0.13890</td>\n",
       "      <td>25.450</td>\n",
       "      <td>166.10</td>\n",
       "      <td>2027.0</td>\n",
       "      <td>0.4107</td>\n",
       "      <td>0.2216</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>565</th>\n",
       "      <td>20.13</td>\n",
       "      <td>131.20</td>\n",
       "      <td>1261.0</td>\n",
       "      <td>0.14400</td>\n",
       "      <td>0.09791</td>\n",
       "      <td>23.690</td>\n",
       "      <td>155.00</td>\n",
       "      <td>1731.0</td>\n",
       "      <td>0.3215</td>\n",
       "      <td>0.1628</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>566</th>\n",
       "      <td>16.60</td>\n",
       "      <td>108.30</td>\n",
       "      <td>858.1</td>\n",
       "      <td>0.09251</td>\n",
       "      <td>0.05302</td>\n",
       "      <td>18.980</td>\n",
       "      <td>126.70</td>\n",
       "      <td>1124.0</td>\n",
       "      <td>0.3403</td>\n",
       "      <td>0.1418</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>567</th>\n",
       "      <td>20.60</td>\n",
       "      <td>140.10</td>\n",
       "      <td>1265.0</td>\n",
       "      <td>0.35140</td>\n",
       "      <td>0.15200</td>\n",
       "      <td>25.740</td>\n",
       "      <td>184.60</td>\n",
       "      <td>1821.0</td>\n",
       "      <td>0.9387</td>\n",
       "      <td>0.2650</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>568</th>\n",
       "      <td>7.76</td>\n",
       "      <td>47.92</td>\n",
       "      <td>181.0</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>9.456</td>\n",
       "      <td>59.16</td>\n",
       "      <td>268.6</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>569 rows × 11 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     radius_mean  perimeter_mean  area_mean  concavity_mean  \\\n",
       "0          17.99          122.80     1001.0         0.30010   \n",
       "1          20.57          132.90     1326.0         0.08690   \n",
       "2          19.69          130.00     1203.0         0.19740   \n",
       "3          11.42           77.58      386.1         0.24140   \n",
       "4          20.29          135.10     1297.0         0.19800   \n",
       "..           ...             ...        ...             ...   \n",
       "564        21.56          142.00     1479.0         0.24390   \n",
       "565        20.13          131.20     1261.0         0.14400   \n",
       "566        16.60          108.30      858.1         0.09251   \n",
       "567        20.60          140.10     1265.0         0.35140   \n",
       "568         7.76           47.92      181.0         0.00000   \n",
       "\n",
       "     concave points_mean  radius_worst  perimeter_worst  area_worst  \\\n",
       "0                0.14710        25.380           184.60      2019.0   \n",
       "1                0.07017        24.990           158.80      1956.0   \n",
       "2                0.12790        23.570           152.50      1709.0   \n",
       "3                0.10520        14.910            98.87       567.7   \n",
       "4                0.10430        22.540           152.20      1575.0   \n",
       "..                   ...           ...              ...         ...   \n",
       "564              0.13890        25.450           166.10      2027.0   \n",
       "565              0.09791        23.690           155.00      1731.0   \n",
       "566              0.05302        18.980           126.70      1124.0   \n",
       "567              0.15200        25.740           184.60      1821.0   \n",
       "568              0.00000         9.456            59.16       268.6   \n",
       "\n",
       "     concavity_worst  concave points_worst  target  \n",
       "0             0.7119                0.2654       1  \n",
       "1             0.2416                0.1860       1  \n",
       "2             0.4504                0.2430       1  \n",
       "3             0.6869                0.2575       1  \n",
       "4             0.4000                0.1625       1  \n",
       "..               ...                   ...     ...  \n",
       "564           0.4107                0.2216       1  \n",
       "565           0.3215                0.1628       1  \n",
       "566           0.3403                0.1418       1  \n",
       "567           0.9387                0.2650       1  \n",
       "568           0.0000                0.0000       0  \n",
       "\n",
       "[569 rows x 11 columns]"
      ]
     },
     "execution_count": 620,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.DataFrame(df_copy, columns=column_list)\n",
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 621,
   "id": "1f683721",
   "metadata": {
    "scrolled": true
   },
   "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>radius_mean</th>\n",
       "      <th>perimeter_mean</th>\n",
       "      <th>area_mean</th>\n",
       "      <th>concavity_mean</th>\n",
       "      <th>concave points_mean</th>\n",
       "      <th>radius_worst</th>\n",
       "      <th>perimeter_worst</th>\n",
       "      <th>area_worst</th>\n",
       "      <th>concavity_worst</th>\n",
       "      <th>concave points_worst</th>\n",
       "      <th>target</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>550</th>\n",
       "      <td>10.86</td>\n",
       "      <td>68.51</td>\n",
       "      <td>360.5</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>11.66</td>\n",
       "      <td>74.08</td>\n",
       "      <td>412.3</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     radius_mean  perimeter_mean  area_mean  concavity_mean  \\\n",
       "550        10.86           68.51      360.5             0.0   \n",
       "\n",
       "     concave points_mean  radius_worst  perimeter_worst  area_worst  \\\n",
       "550                  0.0         11.66            74.08       412.3   \n",
       "\n",
       "     concavity_worst  concave points_worst  target  \n",
       "550              0.0                   0.0       0  "
      ]
     },
     "execution_count": 621,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.iloc[[550]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 622,
   "id": "d6997b38",
   "metadata": {},
   "outputs": [],
   "source": [
    "correlation_matrix = df.corr()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 623,
   "id": "fe68c2d2",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1440x1440 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(20,20))\n",
    "sns.heatmap(correlation_matrix, cbar=True, fmt='.1f', annot=True, cmap=\"BuGn\")\n",
    "plt.title('Correlation Heat map')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a7fc086e",
   "metadata": {},
   "source": [
    "**VISUALIZING THE TARGET VALUES**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 624,
   "id": "b46d4ea5",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='target', ylabel='count'>"
      ]
     },
     "execution_count": 624,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.countplot(x='target', data=df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 625,
   "id": "d6c923e8",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['radius_mean', 'perimeter_mean', 'area_mean', 'concavity_mean',\n",
       "       'concave points_mean', 'radius_worst', 'perimeter_worst', 'area_worst',\n",
       "       'concavity_worst', 'concave points_worst', 'target'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 625,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 626,
   "id": "4e47dd82",
   "metadata": {},
   "outputs": [],
   "source": [
    "X = df.iloc[:, :-1].values\n",
    "y = df.iloc[:, -1].values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 627,
   "id": "fbd8b9a1",
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.model_selection import train_test_split\n",
    "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size = 0.2, stratify = y, random_state = 42)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 628,
   "id": "fb543fd2",
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.preprocessing import StandardScaler\n",
    "sc = StandardScaler()\n",
    "X_train = sc.fit_transform(X_train)\n",
    "X_test = sc.transform(X_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 629,
   "id": "660ff323",
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.linear_model import LogisticRegression\n",
    "from sklearn.svm import SVC\n",
    "from sklearn.ensemble import RandomForestClassifier\n",
    "from sklearn.naive_bayes import BernoulliNB"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "427d74b1",
   "metadata": {},
   "source": [
    "# **CHECKING MODEL PERFORMANCES USING CROSS VAL SCORE**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 630,
   "id": "2999e7cd",
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.model_selection import cross_val_score"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "81c31506",
   "metadata": {},
   "source": [
    "**LOGISTIC REGRESSION**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 631,
   "id": "ef3b6e6c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.9565217391304348"
      ]
     },
     "execution_count": 631,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "scores_logistic_test = cross_val_score(LogisticRegression(solver='liblinear',multi_class='ovr'), X_test, y_test,cv=5)\n",
    "np.average(scores_logistic_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 632,
   "id": "d1f49cdf",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.9472527472527472"
      ]
     },
     "execution_count": 632,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "scores_logistic_train = cross_val_score(LogisticRegression(solver='liblinear',multi_class='ovr'), X_train, y_train,cv=5)\n",
    "np.average(scores_logistic_train)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5329bc0f",
   "metadata": {},
   "source": [
    "**SUPPORT VECTOR MACHINE**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 633,
   "id": "4bd9962c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.9652173913043478"
      ]
     },
     "execution_count": 633,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "scores_svm_test = cross_val_score(SVC(gamma='auto'), X_test, y_test,cv=5)\n",
    "np.average(scores_svm_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 634,
   "id": "6a8853b0",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.9472527472527472"
      ]
     },
     "execution_count": 634,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "scores_svm_train = cross_val_score(SVC(gamma='auto'), X_train, y_train,cv=5)\n",
    "np.average(scores_svm_train)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4b4a715d",
   "metadata": {},
   "source": [
    "**RANDOM FOREST CLASSIFIER**\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d70deadc",
   "metadata": {},
   "source": [
    "**TESTING DATA**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 635,
   "id": "65329040",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.9296442687747035"
      ]
     },
     "execution_count": 635,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "scores_svm_random_test = cross_val_score(RandomForestClassifier(n_estimators=5),X_test, y_test,cv=5)\n",
    "np.average(scores_svm_random_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 636,
   "id": "488d20ab",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.9565217391304348"
      ]
     },
     "execution_count": 636,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "scores_svm_random_test = cross_val_score(RandomForestClassifier(n_estimators=10),X_test, y_test,cv=5)\n",
    "np.average(scores_svm_random_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 637,
   "id": "577b1069",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.9565217391304348"
      ]
     },
     "execution_count": 637,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "scores_svm_random_test = cross_val_score(RandomForestClassifier(n_estimators=20),X_test, y_test,cv=5)\n",
    "np.average(scores_svm_random_test)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8963264a",
   "metadata": {},
   "source": [
    "**TRAINING DATA**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 638,
   "id": "4518fb5e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.934065934065934"
      ]
     },
     "execution_count": 638,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "scores_svm_random_train = cross_val_score(RandomForestClassifier(n_estimators=5),X_train, y_train,cv=5)\n",
    "np.average(scores_svm_random_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 639,
   "id": "f5edcbb3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.9318681318681318"
      ]
     },
     "execution_count": 639,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "scores_svm_random_train = cross_val_score(RandomForestClassifier(n_estimators=10),X_train, y_train,cv=5)\n",
    "np.average(scores_svm_random_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 640,
   "id": "35a0dbb5",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.9428571428571428"
      ]
     },
     "execution_count": 640,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "scores_svm_random_train = cross_val_score(RandomForestClassifier(n_estimators=20),X_train, y_train,cv=5)\n",
    "np.average(scores_svm_random_train)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9687900d",
   "metadata": {},
   "source": [
    "**NAIVE BAYES**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 641,
   "id": "07f10e57",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.9478260869565218"
      ]
     },
     "execution_count": 641,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "scores_naive_test = cross_val_score(BernoulliNB(alpha = 1, fit_prior = 'True'), X_test, y_test,cv=5)\n",
    "np.average(scores_naive_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 642,
   "id": "457280dc",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.9164835164835164"
      ]
     },
     "execution_count": 642,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "scores_naive_train = cross_val_score(BernoulliNB(alpha = 1, fit_prior = 'True'),X_train, y_train,cv=5)\n",
    "np.average(scores_naive_train)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4cc12c4d",
   "metadata": {},
   "source": [
    "# **HYPER PARAMETER TUNING OF DIFFERENT MODELS USING GRIDSEARCHCV**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 643,
   "id": "417d6678",
   "metadata": {},
   "outputs": [],
   "source": [
    "model_params = {\n",
    "    'svm': {\n",
    "        'model': SVC(gamma='auto'),\n",
    "        'params' : {\n",
    "            'C': [1,10,20],\n",
    "            'kernel': ['rbf','linear']\n",
    "        }  \n",
    "    },\n",
    "    'random_forest': {\n",
    "        'model': RandomForestClassifier(),\n",
    "        'params' : {\n",
    "            'n_estimators': [1,5,10]\n",
    "        }\n",
    "    },\n",
    "    'logistic_regression' : {\n",
    "        'model': LogisticRegression(solver='liblinear',multi_class='auto'),\n",
    "        'params': {\n",
    "            'C': [1,5,10]\n",
    "        }\n",
    "    },\n",
    "    'naive_bayes': {\n",
    "        'model': BernoulliNB(),\n",
    "        'params' : {\n",
    "            'alpha': [0.1,0.5,1],\n",
    "            'fit_prior': ['True','False']\n",
    "        }  \n",
    "    }\n",
    "}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 644,
   "id": "b2dae670",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>model</th>\n",
       "      <th>best_score</th>\n",
       "      <th>best_params</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>svm</td>\n",
       "      <td>0.960440</td>\n",
       "      <td>{'C': 10, 'kernel': 'linear'}</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>random_forest</td>\n",
       "      <td>0.940659</td>\n",
       "      <td>{'n_estimators': 5}</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>logistic_regression</td>\n",
       "      <td>0.956044</td>\n",
       "      <td>{'C': 5}</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>naive_bayes</td>\n",
       "      <td>0.916484</td>\n",
       "      <td>{'alpha': 1, 'fit_prior': 'True'}</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                 model  best_score                        best_params\n",
       "0                  svm    0.960440      {'C': 10, 'kernel': 'linear'}\n",
       "1        random_forest    0.940659                {'n_estimators': 5}\n",
       "2  logistic_regression    0.956044                           {'C': 5}\n",
       "3          naive_bayes    0.916484  {'alpha': 1, 'fit_prior': 'True'}"
      ]
     },
     "execution_count": 644,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.model_selection import GridSearchCV\n",
    "scores = []\n",
    "\n",
    "for model_name, mp in model_params.items():\n",
    "    clf =  GridSearchCV(mp['model'], mp['params'], cv=5, return_train_score=False)\n",
    "    clf.fit(X_train, y_train)\n",
    "    scores.append({\n",
    "        'model': model_name,\n",
    "        'best_score': clf.best_score_,\n",
    "        'best_params': clf.best_params_\n",
    "    })\n",
    "    \n",
    "df = pd.DataFrame(scores,columns=['model','best_score','best_params'])\n",
    "df"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5d46dd0c",
   "metadata": {},
   "source": [
    "# **SAVING BEST MODEL USING PICKLE FILE**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 645,
   "id": "9bf263ff",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "SVC(C=10, kernel='linear')"
      ]
     },
     "execution_count": 645,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "model_svm = SVC(C = 10, kernel = 'linear')\n",
    "model_svm.fit(X_train,y_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 647,
   "id": "3b707929",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pickle"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 648,
   "id": "1b5a3e15",
   "metadata": {},
   "outputs": [],
   "source": [
    "with open('model_pickle', 'wb') as f:\n",
    "    pickle.dump(model_svm,f)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 649,
   "id": "aea0f402",
   "metadata": {},
   "outputs": [],
   "source": [
    "with open('model_pickle','rb') as f:\n",
    "    mp = pickle.load(f)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 650,
   "id": "296bbb89",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([0])"
      ]
     },
     "execution_count": 650,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mp.predict(sc.transform([[10.86,68.51,360.5,0.0,0.0,11.66,74.08,412.3,0.0,0.0]]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "c57e1714",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.8"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}