Classification - Fetal Health.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "f171eb67",
   "metadata": {},
   "source": [
    "## Dataset Source - https://www.kaggle.com/andrewmvd/fetal-health-classification"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "id": "c6f22dde",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "id": "5bdc7766",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Loading the dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "id": "b8c0b9c0",
   "metadata": {},
   "outputs": [],
   "source": [
    "fetus = pd.read_csv('fetal_health.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "id": "7170f613",
   "metadata": {},
   "outputs": [
    {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>baseline value</th>\n",
       "      <th>accelerations</th>\n",
       "      <th>fetal_movement</th>\n",
       "      <th>uterine_contractions</th>\n",
       "      <th>light_decelerations</th>\n",
       "      <th>severe_decelerations</th>\n",
       "      <th>prolongued_decelerations</th>\n",
       "      <th>abnormal_short_term_variability</th>\n",
       "      <th>mean_value_of_short_term_variability</th>\n",
       "      <th>percentage_of_time_with_abnormal_long_term_variability</th>\n",
       "      <th>...</th>\n",
       "      <th>histogram_min</th>\n",
       "      <th>histogram_max</th>\n",
       "      <th>histogram_number_of_peaks</th>\n",
       "      <th>histogram_number_of_zeroes</th>\n",
       "      <th>histogram_mode</th>\n",
       "      <th>histogram_mean</th>\n",
       "      <th>histogram_median</th>\n",
       "      <th>histogram_variance</th>\n",
       "      <th>histogram_tendency</th>\n",
       "      <th>fetal_health</th>\n",
       "    </tr>\n",
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       "      <td>0.0</td>\n",
       "      <td>73.0</td>\n",
       "      <td>0.5</td>\n",
       "      <td>43.0</td>\n",
       "      <td>...</td>\n",
       "      <td>62.0</td>\n",
       "      <td>126.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>120.0</td>\n",
       "      <td>137.0</td>\n",
       "      <td>121.0</td>\n",
       "      <td>73.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
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       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>132.0</td>\n",
       "      <td>0.006</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.006</td>\n",
       "      <td>0.003</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>17.0</td>\n",
       "      <td>2.1</td>\n",
       "      <td>0.0</td>\n",
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       "      <td>68.0</td>\n",
       "      <td>198.0</td>\n",
       "      <td>6.0</td>\n",
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       "      <td>141.0</td>\n",
       "      <td>136.0</td>\n",
       "      <td>140.0</td>\n",
       "      <td>12.0</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>133.0</td>\n",
       "      <td>0.003</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.008</td>\n",
       "      <td>0.003</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>2.1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>68.0</td>\n",
       "      <td>198.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>141.0</td>\n",
       "      <td>135.0</td>\n",
       "      <td>138.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
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       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>134.0</td>\n",
       "      <td>0.003</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.008</td>\n",
       "      <td>0.003</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>2.4</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>53.0</td>\n",
       "      <td>170.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>137.0</td>\n",
       "      <td>134.0</td>\n",
       "      <td>137.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
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       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>132.0</td>\n",
       "      <td>0.007</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.008</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>2.4</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>53.0</td>\n",
       "      <td>170.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>137.0</td>\n",
       "      <td>136.0</td>\n",
       "      <td>138.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
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       "<p>5 rows × 22 columns</p>\n",
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      ],
      "text/plain": [
       "   baseline value  accelerations  fetal_movement  uterine_contractions  \\\n",
       "0           120.0          0.000             0.0                 0.000   \n",
       "1           132.0          0.006             0.0                 0.006   \n",
       "2           133.0          0.003             0.0                 0.008   \n",
       "3           134.0          0.003             0.0                 0.008   \n",
       "4           132.0          0.007             0.0                 0.008   \n",
       "\n",
       "   light_decelerations  severe_decelerations  prolongued_decelerations  \\\n",
       "0                0.000                   0.0                       0.0   \n",
       "1                0.003                   0.0                       0.0   \n",
       "2                0.003                   0.0                       0.0   \n",
       "3                0.003                   0.0                       0.0   \n",
       "4                0.000                   0.0                       0.0   \n",
       "\n",
       "   abnormal_short_term_variability  mean_value_of_short_term_variability  \\\n",
       "0                             73.0                                   0.5   \n",
       "1                             17.0                                   2.1   \n",
       "2                             16.0                                   2.1   \n",
       "3                             16.0                                   2.4   \n",
       "4                             16.0                                   2.4   \n",
       "\n",
       "   percentage_of_time_with_abnormal_long_term_variability  ...  histogram_min  \\\n",
       "0                                               43.0       ...           62.0   \n",
       "1                                                0.0       ...           68.0   \n",
       "2                                                0.0       ...           68.0   \n",
       "3                                                0.0       ...           53.0   \n",
       "4                                                0.0       ...           53.0   \n",
       "\n",
       "   histogram_max  histogram_number_of_peaks  histogram_number_of_zeroes  \\\n",
       "0          126.0                        2.0                         0.0   \n",
       "1          198.0                        6.0                         1.0   \n",
       "2          198.0                        5.0                         1.0   \n",
       "3          170.0                       11.0                         0.0   \n",
       "4          170.0                        9.0                         0.0   \n",
       "\n",
       "   histogram_mode  histogram_mean  histogram_median  histogram_variance  \\\n",
       "0           120.0           137.0             121.0                73.0   \n",
       "1           141.0           136.0             140.0                12.0   \n",
       "2           141.0           135.0             138.0                13.0   \n",
       "3           137.0           134.0             137.0                13.0   \n",
       "4           137.0           136.0             138.0                11.0   \n",
       "\n",
       "   histogram_tendency  fetal_health  \n",
       "0                 1.0           2.0  \n",
       "1                 0.0           1.0  \n",
       "2                 0.0           1.0  \n",
       "3                 1.0           1.0  \n",
       "4                 1.0           1.0  \n",
       "\n",
       "[5 rows x 22 columns]"
      ]
     },
     "execution_count": 69,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "fetus.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "id": "c5417f4f",
   "metadata": {},
   "outputs": [
    {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>baseline value</th>\n",
       "      <th>accelerations</th>\n",
       "      <th>fetal_movement</th>\n",
       "      <th>uterine_contractions</th>\n",
       "      <th>light_decelerations</th>\n",
       "      <th>severe_decelerations</th>\n",
       "      <th>prolongued_decelerations</th>\n",
       "      <th>abnormal_short_term_variability</th>\n",
       "      <th>mean_value_of_short_term_variability</th>\n",
       "      <th>percentage_of_time_with_abnormal_long_term_variability</th>\n",
       "      <th>...</th>\n",
       "      <th>histogram_min</th>\n",
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       "      <th>histogram_number_of_peaks</th>\n",
       "      <th>histogram_number_of_zeroes</th>\n",
       "      <th>histogram_mode</th>\n",
       "      <th>histogram_mean</th>\n",
       "      <th>histogram_median</th>\n",
       "      <th>histogram_variance</th>\n",
       "      <th>histogram_tendency</th>\n",
       "      <th>fetal_health</th>\n",
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       "      <th>count</th>\n",
       "      <td>2126.000000</td>\n",
       "      <td>2126.000000</td>\n",
       "      <td>2126.000000</td>\n",
       "      <td>2126.000000</td>\n",
       "      <td>2126.000000</td>\n",
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       "      <td>2126.000000</td>\n",
       "      <td>2126.000000</td>\n",
       "      <td>2126.00000</td>\n",
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       "      <td>2126.000000</td>\n",
       "      <td>2126.000000</td>\n",
       "      <td>2126.000000</td>\n",
       "      <td>2126.000000</td>\n",
       "      <td>2126.000000</td>\n",
       "      <td>2126.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>133.303857</td>\n",
       "      <td>0.003178</td>\n",
       "      <td>0.009481</td>\n",
       "      <td>0.004366</td>\n",
       "      <td>0.001889</td>\n",
       "      <td>0.000003</td>\n",
       "      <td>0.000159</td>\n",
       "      <td>46.990122</td>\n",
       "      <td>1.332785</td>\n",
       "      <td>9.84666</td>\n",
       "      <td>...</td>\n",
       "      <td>93.579492</td>\n",
       "      <td>164.025400</td>\n",
       "      <td>4.068203</td>\n",
       "      <td>0.323612</td>\n",
       "      <td>137.452023</td>\n",
       "      <td>134.610536</td>\n",
       "      <td>138.090310</td>\n",
       "      <td>18.808090</td>\n",
       "      <td>0.320320</td>\n",
       "      <td>1.304327</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>9.840844</td>\n",
       "      <td>0.003866</td>\n",
       "      <td>0.046666</td>\n",
       "      <td>0.002946</td>\n",
       "      <td>0.002960</td>\n",
       "      <td>0.000057</td>\n",
       "      <td>0.000590</td>\n",
       "      <td>17.192814</td>\n",
       "      <td>0.883241</td>\n",
       "      <td>18.39688</td>\n",
       "      <td>...</td>\n",
       "      <td>29.560212</td>\n",
       "      <td>17.944183</td>\n",
       "      <td>2.949386</td>\n",
       "      <td>0.706059</td>\n",
       "      <td>16.381289</td>\n",
       "      <td>15.593596</td>\n",
       "      <td>14.466589</td>\n",
       "      <td>28.977636</td>\n",
       "      <td>0.610829</td>\n",
       "      <td>0.614377</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>106.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>12.000000</td>\n",
       "      <td>0.200000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>...</td>\n",
       "      <td>50.000000</td>\n",
       "      <td>122.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>60.000000</td>\n",
       "      <td>73.000000</td>\n",
       "      <td>77.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>126.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.002000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>32.000000</td>\n",
       "      <td>0.700000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>...</td>\n",
       "      <td>67.000000</td>\n",
       "      <td>152.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>129.000000</td>\n",
       "      <td>125.000000</td>\n",
       "      <td>129.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>133.000000</td>\n",
       "      <td>0.002000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.004000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>49.000000</td>\n",
       "      <td>1.200000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>...</td>\n",
       "      <td>93.000000</td>\n",
       "      <td>162.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>139.000000</td>\n",
       "      <td>136.000000</td>\n",
       "      <td>139.000000</td>\n",
       "      <td>7.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>140.000000</td>\n",
       "      <td>0.006000</td>\n",
       "      <td>0.003000</td>\n",
       "      <td>0.007000</td>\n",
       "      <td>0.003000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>61.000000</td>\n",
       "      <td>1.700000</td>\n",
       "      <td>11.00000</td>\n",
       "      <td>...</td>\n",
       "      <td>120.000000</td>\n",
       "      <td>174.000000</td>\n",
       "      <td>6.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>148.000000</td>\n",
       "      <td>145.000000</td>\n",
       "      <td>148.000000</td>\n",
       "      <td>24.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>160.000000</td>\n",
       "      <td>0.019000</td>\n",
       "      <td>0.481000</td>\n",
       "      <td>0.015000</td>\n",
       "      <td>0.015000</td>\n",
       "      <td>0.001000</td>\n",
       "      <td>0.005000</td>\n",
       "      <td>87.000000</td>\n",
       "      <td>7.000000</td>\n",
       "      <td>91.00000</td>\n",
       "      <td>...</td>\n",
       "      <td>159.000000</td>\n",
       "      <td>238.000000</td>\n",
       "      <td>18.000000</td>\n",
       "      <td>10.000000</td>\n",
       "      <td>187.000000</td>\n",
       "      <td>182.000000</td>\n",
       "      <td>186.000000</td>\n",
       "      <td>269.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>3.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>8 rows × 22 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       baseline value  accelerations  fetal_movement  uterine_contractions  \\\n",
       "count     2126.000000    2126.000000     2126.000000           2126.000000   \n",
       "mean       133.303857       0.003178        0.009481              0.004366   \n",
       "std          9.840844       0.003866        0.046666              0.002946   \n",
       "min        106.000000       0.000000        0.000000              0.000000   \n",
       "25%        126.000000       0.000000        0.000000              0.002000   \n",
       "50%        133.000000       0.002000        0.000000              0.004000   \n",
       "75%        140.000000       0.006000        0.003000              0.007000   \n",
       "max        160.000000       0.019000        0.481000              0.015000   \n",
       "\n",
       "       light_decelerations  severe_decelerations  prolongued_decelerations  \\\n",
       "count          2126.000000           2126.000000               2126.000000   \n",
       "mean              0.001889              0.000003                  0.000159   \n",
       "std               0.002960              0.000057                  0.000590   \n",
       "min               0.000000              0.000000                  0.000000   \n",
       "25%               0.000000              0.000000                  0.000000   \n",
       "50%               0.000000              0.000000                  0.000000   \n",
       "75%               0.003000              0.000000                  0.000000   \n",
       "max               0.015000              0.001000                  0.005000   \n",
       "\n",
       "       abnormal_short_term_variability  mean_value_of_short_term_variability  \\\n",
       "count                      2126.000000                           2126.000000   \n",
       "mean                         46.990122                              1.332785   \n",
       "std                          17.192814                              0.883241   \n",
       "min                          12.000000                              0.200000   \n",
       "25%                          32.000000                              0.700000   \n",
       "50%                          49.000000                              1.200000   \n",
       "75%                          61.000000                              1.700000   \n",
       "max                          87.000000                              7.000000   \n",
       "\n",
       "       percentage_of_time_with_abnormal_long_term_variability  ...  \\\n",
       "count                                         2126.00000       ...   \n",
       "mean                                             9.84666       ...   \n",
       "std                                             18.39688       ...   \n",
       "min                                              0.00000       ...   \n",
       "25%                                              0.00000       ...   \n",
       "50%                                              0.00000       ...   \n",
       "75%                                             11.00000       ...   \n",
       "max                                             91.00000       ...   \n",
       "\n",
       "       histogram_min  histogram_max  histogram_number_of_peaks  \\\n",
       "count    2126.000000    2126.000000                2126.000000   \n",
       "mean       93.579492     164.025400                   4.068203   \n",
       "std        29.560212      17.944183                   2.949386   \n",
       "min        50.000000     122.000000                   0.000000   \n",
       "25%        67.000000     152.000000                   2.000000   \n",
       "50%        93.000000     162.000000                   3.000000   \n",
       "75%       120.000000     174.000000                   6.000000   \n",
       "max       159.000000     238.000000                  18.000000   \n",
       "\n",
       "       histogram_number_of_zeroes  histogram_mode  histogram_mean  \\\n",
       "count                 2126.000000     2126.000000     2126.000000   \n",
       "mean                     0.323612      137.452023      134.610536   \n",
       "std                      0.706059       16.381289       15.593596   \n",
       "min                      0.000000       60.000000       73.000000   \n",
       "25%                      0.000000      129.000000      125.000000   \n",
       "50%                      0.000000      139.000000      136.000000   \n",
       "75%                      0.000000      148.000000      145.000000   \n",
       "max                     10.000000      187.000000      182.000000   \n",
       "\n",
       "       histogram_median  histogram_variance  histogram_tendency  fetal_health  \n",
       "count       2126.000000         2126.000000         2126.000000   2126.000000  \n",
       "mean         138.090310           18.808090            0.320320      1.304327  \n",
       "std           14.466589           28.977636            0.610829      0.614377  \n",
       "min           77.000000            0.000000           -1.000000      1.000000  \n",
       "25%          129.000000            2.000000            0.000000      1.000000  \n",
       "50%          139.000000            7.000000            0.000000      1.000000  \n",
       "75%          148.000000           24.000000            1.000000      1.000000  \n",
       "max          186.000000          269.000000            1.000000      3.000000  \n",
       "\n",
       "[8 rows x 22 columns]"
      ]
     },
     "execution_count": 70,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "fetus.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "id": "72493491",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 2126 entries, 0 to 2125\n",
      "Data columns (total 22 columns):\n",
      " #   Column                                                  Non-Null Count  Dtype  \n",
      "---  ------                                                  --------------  -----  \n",
      " 0   baseline value                                          2126 non-null   float64\n",
      " 1   accelerations                                           2126 non-null   float64\n",
      " 2   fetal_movement                                          2126 non-null   float64\n",
      " 3   uterine_contractions                                    2126 non-null   float64\n",
      " 4   light_decelerations                                     2126 non-null   float64\n",
      " 5   severe_decelerations                                    2126 non-null   float64\n",
      " 6   prolongued_decelerations                                2126 non-null   float64\n",
      " 7   abnormal_short_term_variability                         2126 non-null   float64\n",
      " 8   mean_value_of_short_term_variability                    2126 non-null   float64\n",
      " 9   percentage_of_time_with_abnormal_long_term_variability  2126 non-null   float64\n",
      " 10  mean_value_of_long_term_variability                     2126 non-null   float64\n",
      " 11  histogram_width                                         2126 non-null   float64\n",
      " 12  histogram_min                                           2126 non-null   float64\n",
      " 13  histogram_max                                           2126 non-null   float64\n",
      " 14  histogram_number_of_peaks                               2126 non-null   float64\n",
      " 15  histogram_number_of_zeroes                              2126 non-null   float64\n",
      " 16  histogram_mode                                          2126 non-null   float64\n",
      " 17  histogram_mean                                          2126 non-null   float64\n",
      " 18  histogram_median                                        2126 non-null   float64\n",
      " 19  histogram_variance                                      2126 non-null   float64\n",
      " 20  histogram_tendency                                      2126 non-null   float64\n",
      " 21  fetal_health                                            2126 non-null   float64\n",
      "dtypes: float64(22)\n",
      "memory usage: 365.5 KB\n"
     ]
    }
   ],
   "source": [
    "fetus.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "id": "aedef372",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Determining whether there are any null values in any column by taking their count"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "id": "8a258790",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "baseline value                                            0\n",
       "accelerations                                             0\n",
       "fetal_movement                                            0\n",
       "uterine_contractions                                      0\n",
       "light_decelerations                                       0\n",
       "severe_decelerations                                      0\n",
       "prolongued_decelerations                                  0\n",
       "abnormal_short_term_variability                           0\n",
       "mean_value_of_short_term_variability                      0\n",
       "percentage_of_time_with_abnormal_long_term_variability    0\n",
       "mean_value_of_long_term_variability                       0\n",
       "histogram_width                                           0\n",
       "histogram_min                                             0\n",
       "histogram_max                                             0\n",
       "histogram_number_of_peaks                                 0\n",
       "histogram_number_of_zeroes                                0\n",
       "histogram_mode                                            0\n",
       "histogram_mean                                            0\n",
       "histogram_median                                          0\n",
       "histogram_variance                                        0\n",
       "histogram_tendency                                        0\n",
       "fetal_health                                              0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 73,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "fetus.isnull().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "id": "2639333c",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 0 signifies there are no null values in any column and therefore none in the dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 75,
   "id": "e7a92823",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(2126, 22)"
      ]
     },
     "execution_count": 75,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "fetus.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "14600210",
   "metadata": {},
   "source": [
    "### Visualising Data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 76,
   "id": "76033756",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='fetal_health', ylabel='count'>"
      ]
     },
     "execution_count": 76,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAfgAAAFXCAYAAABOYlxEAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjQuMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8rg+JYAAAACXBIWXMAAAsTAAALEwEAmpwYAAAePklEQVR4nO3de3BU9f3/8dcmIQtuNoR0hJ8Zm9YIEZg0ShLBTiFeaifg4KUYCayNWpwqFEOTOkwgQNAvIKWU4JRLuYyObRAhEbXS1mm5SYqUhK4FfkmlWEqRmxcItNkFN8vu+f7RYfuN3DYJu5t8fD7+Ys9ezjszZ3jyOWzOsVmWZQkAABglLtYDAACAa4/AAwBgIAIPAICBCDwAAAYi8AAAGCgh1gNcC8FgUF6vVz169JDNZov1OAAARJxlWfL7/XI4HIqLu3i9bkTgvV6vDhw4EOsxAACIuszMTDmdzou2GxH4Hj16SPrPD5mYmBjjaQAAiLzW1lYdOHAg1MAvMiLwF07LJyYmym63x3gaAACi53L/Nc2X7AAAMBCBBwDAQAQeAAADEXgAAAxE4AEAMBCBBwDAQAQeAAADEXgAAAxE4AEAMBCBBwDAQAQeAAADGXEt+s7qN3lxrEdAhHyyrCzWIwBATLCCBwDAQAQeAAADEXgAAAxE4AEAMBCBBwDAQBEN/N69e1VcXCxJOnXqlCZNmqRHH31U48aN00cffSRJqqmp0ZgxYzR27Fht27ZNktTc3KwJEybI5XKptLRU586di+SYAAAYJ2K/Jrd69Wq9/fbb6tWrlyRp4cKFuv/++3Xfffdp165d+sc//qFevXqpurpaGzZskM/nk8vl0re+9S0tX75co0eP1pgxY7Rq1SqtX79eTzzxRKRGBQDAOBFbwaenp2vJkiWhx++//74++eQTPfHEE9q4caOGDh2qffv2aciQIUpMTJTT6VR6err2798vt9utESNGSJLy8/O1c+fOSI0JAICRIhb4goICJST89wTBsWPHlJycrFdeeUU33HCDVq9eLY/HI6fTGXqNw+GQx+Nps93hcKilpSVSYwIAYKSoXckuJSVF99xzjyTpnnvu0eLFi5WVlSWv1xt6jdfrldPpVFJSkrxer3r27Cmv16vk5OSw9tHY2BiR2dF9ud3uWI8AADERtcDn5uZq+/bteuihh7R79271799f2dnZevHFF+Xz+dTa2qqDBw8qMzNTOTk52r59u8aMGaO6ujrl5uaGtY+srCzZ7fb2D/dyXfvfg24h3GMHALobn893xYVt1AJfXl6umTNnat26dUpKStKiRYvUu3dvFRcXy+VyybIslZWVyW63a9KkSSovL1dNTY369OmjRYsWRWtMAACMYLMsy4r1EJ114V8xHV3Bc7MZc3GzGQCmulr7uNANAAAGIvAAABiIwAMAYCACDwCAgQg8AAAGIvAAABiIwAMAYCACDwCAgQg8AAAGIvAAABiIwAMAYCACDwCAgQg8AAAGIvAAABiIwAMAYCACDwCAgQg8AAAGIvAAABiIwAMAYCACDwCAgQg8AAAGIvAAABiIwAMAYCACDwCAgQg8AAAGIvAAABiIwAMAYKCIBn7v3r0qLi5us23jxo0qKioKPa6pqdGYMWM0duxYbdu2TZLU3NysCRMmyOVyqbS0VOfOnYvkmAAAGCdigV+9erVmzpwpn88X2vbXv/5Vr7/+uizLkiR99tlnqq6u1rp16/TSSy+pqqpKra2tWr58uUaPHq21a9dq8ODBWr9+faTGBADASBELfHp6upYsWRJ6fPr0aVVVVamioiK0bd++fRoyZIgSExPldDqVnp6u/fv3y+12a8SIEZKk/Px87dy5M1JjAgBgpIRIfXBBQYGOHj0qSQoEApoxY4amT58uu90eeo3H45HT6Qw9djgc8ng8bbY7HA61tLSEtc/GxsZr+BPABG63O9YjAEBMRCzw/1dTU5MOHz6s5557Tj6fT3//+981b9483XHHHfJ6vaHXeb1eOZ1OJSUlyev1qmfPnvJ6vUpOTg5rP1lZWW3+ARG2l+va/x50C7m5ubEeAQAiwufzXXFhG5Vv0WdnZ+u3v/2tqqurVVVVpf79+2vGjBnKzs6W2+2Wz+dTS0uLDh48qMzMTOXk5Gj79u2SpLq6Ov6SBgCgnaKygr+c66+/XsXFxXK5XLIsS2VlZbLb7Zo0aZLKy8tVU1OjPn36aNGiRbEcEwCAbsdmXfhKezd24TRFR0/R95u8OAJToSv4ZFlZrEcAgIi4Wvu40A0AAAYi8AAAGIjAAwBgIAIPAICBCDwAAAYi8AAAGIjAAwBgIAIPAICBCDwAAAYi8AAAGIjAAwBgIAIPAICBCDwAAAYi8AAAGIjAAwBgIAIPAICBCDwAAAYi8AAAGIjAAwBgIAIPAICBCDwAAAYi8AAAGIjAAwBgIAIPAICBCDwAAAYi8AAAGCiigd+7d6+Ki4slSR988IFcLpeKi4v15JNP6uTJk5KkmpoajRkzRmPHjtW2bdskSc3NzZowYYJcLpdKS0t17ty5SI4JAIBxIhb41atXa+bMmfL5fJKkefPmadasWaqurtZ3vvMdrV69Wp999pmqq6u1bt06vfTSS6qqqlJra6uWL1+u0aNHa+3atRo8eLDWr18fqTEBADBSxAKfnp6uJUuWhB5XVVVp0KBBkqRAICC73a59+/ZpyJAhSkxMlNPpVHp6uvbv3y+3260RI0ZIkvLz87Vz585IjQkAgJESIvXBBQUFOnr0aOhx3759JUnvv/++1qxZo1dffVV//OMf5XQ6Q69xOBzyeDzyeDyh7Q6HQy0tLWHts7Gx8Rr+BDCB2+2O9QgAEBMRC/yl/O53v9MvfvELrVq1SqmpqUpKSpLX6w097/V65XQ6Q9t79uwpr9er5OTksD4/KytLdru9/YO9XNf+96BbyM3NjfUIABARPp/vigvbqH2L/te//rXWrFmj6upqffWrX5UkZWdny+12y+fzqaWlRQcPHlRmZqZycnK0fft2SVJdXR1/SQMA0E5RWcEHAgHNmzdPN9xwg0pKSiRJt99+u6ZMmaLi4mK5XC5ZlqWysjLZ7XZNmjRJ5eXlqqmpUZ8+fbRo0aJojAkAgDFslmVZsR6isy6cpujoKfp+kxdHYCp0BZ8sK4v1CAAQEVdrHxe6AQDAQAQeAAADEXgAAAxE4AEAMBCBBwDAQAQeAAADEXgAAAxE4AEAMBCBBwDAQAQeAAADEXgAAAxE4AEAMBCBBwDAQAQeAAADEXgAAAxE4AEAMBCBBwDAQAQeAAADEXgAAAxE4AEAMBCBBwDAQAQeAAADEXgAAAxE4AEAMBCBBwDAQAQeAAADEXgAAAwU0cDv3btXxcXFkqTDhw9r/Pjxcrlcmj17toLBoCRp6dKlKiws1Lhx47Rv374rvhYAAIQnYoFfvXq1Zs6cKZ/PJ0maP3++SktLtXbtWlmWpS1btqipqUkNDQ2qra1VVVWVnn/++cu+FgAAhC9igU9PT9eSJUtCj5uamjR06FBJUn5+vnbu3Cm3263hw4fLZrMpLS1NgUBAzc3Nl3wtAAAIX0KkPrigoEBHjx4NPbYsSzabTZLkcDjU0tIij8ejlJSU0GsubL/Ua8PR2Nh47X4AGMHtdsd6BACIiYgF/ovi4v57ssDr9So5OVlJSUnyer1ttjudzku+NhxZWVmy2+3tH+7luva/B91Cbm5urEcAgIjw+XxXXNhG7Vv0gwcPVn19vSSprq5OeXl5ysnJ0Y4dOxQMBnX8+HEFg0GlpqZe8rUAACB8UVvBl5eXa9asWaqqqlJGRoYKCgoUHx+vvLw8FRUVKRgMqrKy8rKvBQAA4bNZlmXFeojOunCaoqOn6PtNXhyBqdAVfLKsLNYjAEBEXK19XOgGAAADEXgAAAxE4AEAMBCBBwDAQAQeAAADEXgAAAwUVuDnzJlz0bby8vJrPgwAALg2rnihmxkzZujIkSNqbGzUhx9+GNp+/vz5sK8PDwAAou+KgZ80aZKOHTumefPm6Zlnngltj4+P18033xzx4QAAQMdcMfA33nijbrzxRr399tvyeDyhO71J0tmzZ9vcCQ4AAHQdYV2LfuXKlVq5cmWboNtsNm3ZsiVScwEAgE4IK/C1tbXavHmzUlNTIz0PAAC4BsL6Fv0NN9yg3r17R3oWAABwjYS1gv/6178ul8ulYcOGKTExMbT9/37xDgAAdB1hBb5fv37q169fpGcBAADXSFiBZ6UOAED3ElbgBw4cKJvN1mZb3759tX379ogMBQAAOieswO/fvz/0Z7/fr82bN2vPnj2RmgkAAHRSu28206NHD40aNUq7du2KxDwAAOAaCGsF/9Zbb4X+bFmWPvzwQ/Xo0SNSMwEAgE4KK/D19fVtHvfp00eLFy+OyEAAAKDzwgr8/Pnz5ff7dejQIQUCAQ0YMEAJCWG9FQAAxEBYlW5sbNSUKVOUkpKiYDCokydPatmyZbr11lsjPR8AAOiAsAI/d+5cLV68OBT0PXv2aM6cOXr99dcjOhwAAOiYsL5Ff/bs2Tar9dtuu00+ny9iQwEAgM4JK/C9e/fW5s2bQ483b97MveABAOjCwjpFP2fOHD399NOaMWNGaNu6devavTO/369p06bp2LFjiouL05w5c5SQkKBp06bJZrNpwIABmj17tuLi4rR06VK9++67SkhIUEVFhbKzs9u9PwAAvqzCCnxdXZ169eqlN998Ux999JHKysrU0NCgm266qV072759u86fP69169bpvffe04svvii/36/S0lINGzZMlZWV2rJli9LS0tTQ0KDa2lqdOHFCJSUl2rBhQ4d+QAAAvozCOkVfU1Oj1157Tdddd50GDhyoN954Q2vWrGn3zm666SYFAgEFg0F5PB4lJCSoqalJQ4cOlSTl5+dr586dcrvdGj58uGw2m9LS0hQIBNTc3Nzu/QEA8GUV1gre7/e3uXJdR69id9111+nYsWMaNWqUTp8+rRUrVmj37t2hG9k4HA61tLTI4/G0+T/+C9tTU1Ov+PmNjY0dmgvmcrvdsR4BAGIirMDfe++9evzxxzVq1ChJ0h/+8Ad9+9vfbvfOXnnlFQ0fPlzPPvusTpw4occff1x+vz/0vNfrVXJyspKSkuT1ettsdzqdV/38rKws2e32ds+ll+va/x50C7m5ubEeAQAiwufzXXFhG9Yp+qlTp6q4uFiHDh3SkSNH9Nhjj6m0tLTdwyQnJ4dC3bt3b50/f16DBw8OXQq3rq5OeXl5ysnJ0Y4dOxQMBnX8+HEFg8Grrt4BAMB/hX292ZEjR2rkyJGd2tkTTzyhiooKuVwu+f1+lZWVKSsrS7NmzVJVVZUyMjJUUFCg+Ph45eXlqaioSMFgUJWVlZ3aLwAAXzY2y7KsWA/RWRdOU3T0FH2/ydw4x1SfLCuL9QgAEBFXa1+77wcPAAC6PgIPAICBCDwAAAYi8AAAGIjAAwBgIAIPAICBCDwAAAYi8AAAGIjAAwBgIAIPAICBCDwAAAYi8AAAGIjAAwBgIAIPAICBCDwAAAYi8AAAGIjAAwBgIAIPAICBCDwAAAYi8AAAGIjAAwBgIAIPAICBCDwAAAYi8AAAGIjAAwBgIAIPAICBEqK9w5UrV2rr1q3y+/0aP368hg4dqmnTpslms2nAgAGaPXu24uLitHTpUr377rtKSEhQRUWFsrOzoz0qAADdVlRX8PX19frLX/6i1157TdXV1fr44481f/58lZaWau3atbIsS1u2bFFTU5MaGhpUW1urqqoqPf/889EcEwCAbi+qgd+xY4cyMzM1efJkTZw4UXfddZeampo0dOhQSVJ+fr527twpt9ut4cOHy2azKS0tTYFAQM3NzdEcFQCAbi2qp+hPnz6t48ePa8WKFTp69KgmTZoky7Jks9kkSQ6HQy0tLfJ4PEpJSQm978L21NTUaI4LAEC3FdXAp6SkKCMjQ4mJicrIyJDdbtfHH38cet7r9So5OVlJSUnyer1ttjudzqt+fmNjY0TmRvfldrtjPQIAxERUA5+bm6tf/epX+v73v69PP/1U586d0ze/+U3V19dr2LBhqqur0x133KH09HQtXLhQTz75pD7++GMFg8GwVu9ZWVmy2+3tH+zlug78NOgOcnNzYz0CAESEz+e74sI2qoG/++67tXv3bhUWFsqyLFVWVurGG2/UrFmzVFVVpYyMDBUUFCg+Pl55eXkqKipSMBhUZWVlNMcEAKDbs1mWZcV6iM668K+Yjq7g+01eHIGp0BV8sqws1iMAQERcrX1c6AYAAAMReAAADETgAQAwEIEHAMBABB4AAAMReAAADETgAQAwEIEHAMBABB4AAAMReAAADETgAQAwEIEHAMBABB4AAAMReAAADETgAQAwEIEHAMBABB4AAAMReAAADETgAQAwEIEHAMBABB4AAAMReAAADETgAQAwEIEHAMBABB4AAAMReAAADETgAQAwUEwCf+rUKd155506ePCgDh8+rPHjx8vlcmn27NkKBoOSpKVLl6qwsFDjxo3Tvn37YjEmAADdVtQD7/f7VVlZqZ49e0qS5s+fr9LSUq1du1aWZWnLli1qampSQ0ODamtrVVVVpeeffz7aYwIA0K1FPfALFizQuHHj1LdvX0lSU1OThg4dKknKz8/Xzp075Xa7NXz4cNlsNqWlpSkQCKi5uTnaowIA0G0lRHNnb7zxhlJTUzVixAitWrVKkmRZlmw2myTJ4XCopaVFHo9HKSkpofdd2J6amnrFz29sbIzY7Oie3G53rEcAgJiIauA3bNggm82mP/3pT/rggw9UXl7eZmXu9XqVnJyspKQkeb3eNtudTudVPz8rK0t2u739g71c1/73oFvIzc2N9QgAEBE+n++KC9uonqJ/9dVXtWbNGlVXV2vQoEFasGCB8vPzVV9fL0mqq6tTXl6ecnJytGPHDgWDQR0/flzBYPCqq3cAAPBfUV3BX0p5eblmzZqlqqoqZWRkqKCgQPHx8crLy1NRUZGCwaAqKytjPSYAAN2KzbIsK9ZDdNaF0xQdPUXfb/LiCEyFruCTZWWxHgEAIuJq7eNCNwAAGIjAAwBgIAIPAICBCDwAAAYi8AAAGIjAAwBgIAIPAICBCDwAAAYi8AAAGIjAAwBgIAIPAICBCDwAAAYi8AAAGCjmt4sFTPTKpv+J9QiIkCe+w+2r0T2wggcAwEAEHgAAAxF4AAAMROABADAQgQcAwEAEHgAAAxF4AAAMROABADAQgQcAwEAEHgAAAxF4AAAMROABADBQVG824/f7VVFRoWPHjqm1tVWTJk1S//79NW3aNNlsNg0YMECzZ89WXFycli5dqnfffVcJCQmqqKhQdnZ2NEcFAKBbi2rg3377baWkpGjhwoU6c+aMHnroIQ0cOFClpaUaNmyYKisrtWXLFqWlpamhoUG1tbU6ceKESkpKtGHDhmiOCgBAtxbVwI8cOVIFBQWSJMuyFB8fr6amJg0dOlSSlJ+fr/fee0833XSThg8fLpvNprS0NAUCATU3Nys1NTWa4wIA0G1FNfAOh0OS5PF4NGXKFJWWlmrBggWy2Wyh51taWuTxeJSSktLmfS0tLVcNfGNjY8RmR/fkdrtjPQIMwzGF7iKqgZekEydOaPLkyXK5XLr//vu1cOHC0HNer1fJyclKSkqS1+tts93pdF71s7OysmS329s/1Mt17X8PuoXc3NyY7Pf/b/ptTPaLyIvVMQV8kc/nu+LCNqrfoj958qQmTJigqVOnqrCwUJI0ePBg1dfXS5Lq6uqUl5ennJwc7dixQ8FgUMePH1cwGOT0PAAA7RDVFfyKFSv073//W8uXL9fy5cslSTNmzNDcuXNVVVWljIwMFRQUKD4+Xnl5eSoqKlIwGFRlZWU0xwQAoNuLauBnzpypmTNnXrR9zZo1F20rKSlRSUlJNMYCAMA4Uf8/eABA+71981djPQIi5IGDRyLyuVzJDgAAAxF4AAAMROABADAQgQcAwEAEHgAAAxF4AAAMROABADAQgQcAwEAEHgAAAxF4AAAMROABADAQgQcAwEAEHgAAAxF4AAAMROABADAQgQcAwEAEHgAAAxF4AAAMROABADAQgQcAwEAEHgAAAxF4AAAMROABADAQgQcAwEAEHgAAAxF4AAAMlBDrAS4nGAzqueee09/+9jclJiZq7ty5+trXvhbrsQAA6Ba67Ap+8+bNam1t1fr16/Xss8/qJz/5SaxHAgCg2+iyK3i3260RI0ZIkm677TY1NjZe9rWWZUmSWltbO7Svvkn2Dr0PXZ/P54vJfnvE9YrJfhF5sTqm4q/vG5P9IvI6ekxdaN6FBn5Rlw28x+NRUlJS6HF8fLzOnz+vhISLR/b7/ZKkAwcOdGhfr4wd1rEh0eVd6R+GkTQw5Z6Y7BeRF6tj6v8tWxWT/SLyOntM+f1+9ezZ86LtXTbwSUlJ8nq9ocfBYPCScZckh8OhzMxM9ejRQzabLVojAgAQM5Zlye/3y+FwXPL5Lhv4nJwcbdu2Tffdd5/27NmjzMzMy742Li5OTqczitMBABB7l1q5X2CzLnfyPsYufIv+wIEDsixLL7zwgm6++eZYjwUAQLfQZQMPAAA6rsv+mhwAAOg4Ag8AgIEIvOH27t2r4uLii7Zv3bpVDz/8sIqKilRTUxODydDd+P1+TZ06VS6XS4WFhdqyZUub5zmm0F6BQEDTp0/XuHHjNH78+It+1ZljqpMsGGvVqlXW6NGjrUceeaTN9tbWVuvee++1zpw5Y/l8PmvMmDHWZ599FqMp0V28/vrr1ty5cy3LsqzTp09bd955Z+g5jil0xKZNm6xp06ZZlmVZu3btsiZOnBh6jmOq81jBGyw9PV1Lliy5aPvBgweVnp6u3r17KzExUbm5udq9e3cMJkR3MnLkSP3oRz+S9J/fv42Pjw89xzGFjrj33ns1Z84cSdLx48eVnJwceo5jqvO67O/Bo/MKCgp09OjRi7Z7PJ421w1wOBzyeDzRHA3d0IWLaXg8Hk2ZMkWlpaWh5zim0FEJCQkqLy/Xpk2b9POf/zy0nWOq81jBfwl98SqBXq+XCwUhLCdOnNBjjz2mBx98UPfff39oO8cUOmPBggX6/e9/r1mzZuns2bOSOKauBQL/JXTzzTfr8OHDOnPmjFpbW/XnP/9ZQ4YMifVY6OJOnjypCRMmaOrUqSosLGzzHMcUOuKtt97SypUrJUm9evWSzWZTXNx/ssQx1Xlc6MZwR48e1Y9//GPV1NRo48aNOnv2rIqKirR161YtW7ZMlmXp4Ycf1qOPPhrrUdHFzZ07V++8844yMjJC2x555BGdO3eOYwodcvbsWU2fPl0nT57U+fPn9YMf/EDnzp3j76lrhMADAGAgTtEDAGAgAg8AgIEIPAAABiLwAAAYiMADAGAgAg8AgIEIPGCg6dOnq6CgQL/5zW8u+/yxY8eu+BnFxcWqr6+/7PNHjx7VPffc06k5v7ivlpYW/fCHP7zmnw98GRF4wEBvvvmmNm7cqNGjR1/y+fr6enXFS2D861//0v79+2M9BmAEAg8YZuLEibIsS4888ojeeustffe739WDDz6oiooK+Xw+rVq1Sp9++qmeeuopnT59Wu+8847Gjh2rBx54QAUFBe26Y9fnn3+usrIyjR49Wi6XS6dPn5Yk1dXVqbCwUA899JCeeeaZ0Par7Wvu3Ln69NNPNXny5Ct+PoAwxOo+tQAiJzMz0zpw4IA1fvx46/PPP7csy7J+9rOfWcuWLbMsy7Luvvtu68iRI1YgELAee+wx69SpU5ZlWVZtba319NNPW5ZlWd/73vesXbt2XXYfR44csW655RZr7969lmVZVklJibVmzRrr1KlT1gMPPGCdOXPGsizLeu2116yKioqw9nXkyBHr7rvvvuLnAwgPt4sFDFVfX6/Dhw9r7NixkiS/36/Bgwe3eU1cXJyWLVumrVu36tChQ2poaAjd7CMcffv2VXZ2tiSpf//+On36tPbu3Ru665wkBYNB9e7du0P7utTnAwgPgQcMFQgENGrUKM2cOVPSf263GQgE2rzG6/Xq4Ycf1oMPPqjbb79dt9xyi1599dWw95GQ8N+/Qmw2myzLUiAQUE5OjlasWCFJ8vl88nq9HdrXpT4fQHj4P3jAUMOGDdOmTZt06tQpWZal5557Tr/85S8lSfHx8QoEAvrnP/+puLg4TZw4UXfccYfq6uou+kdAe916663as2ePDh06JElavny5fvrTn4a1r4SEBJ0/f75T+wfwH6zgAUMNHDhQzzzzjB5//HEFg0ENGjRITz31lCTprrvu0lNPPaXVq1dr0KBBGjVqlHr27Knbb79dx48f79R+r7/+er3wwgsqLS1VMBhUv379tHDhQiUnJ191X1/5yleUlpam4uJizZ8/v1NzAF923C4WAAADsYIHcFkfffSRSkpKLvnc3Llz9Y1vfCPKEwEIFyt4AAAMxJfsAAAwEIEHAMBABB4AAAMReAAADETgAQAw0P8ChZWaADJx6PYAAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 576x396 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import warnings\n",
    "warnings.filterwarnings('ignore')\n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "\n",
    "sns.countplot(data= fetus, x=\"fetal_health\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 77,
   "id": "c9c6153f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1440x1440 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize = (20,20))\n",
    "sns.heatmap(fetus.corr(), annot=True, cmap = 'YlGnBu')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 79,
   "id": "c1ba031f",
   "metadata": {},
   "outputs": [],
   "source": [
    "X=fetus.drop(['fetal_health', 'histogram_median', 'histogram_mean'], axis=1)\n",
    "y=fetus['fetal_health']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 80,
   "id": "ab77b13a",
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.preprocessing import StandardScaler, LabelEncoder\n",
    "from sklearn.metrics import accuracy_score, precision_score, recall_score, f1_score\n",
    "from sklearn.metrics import classification_report\n",
    "from sklearn.metrics import confusion_matrix,plot_confusion_matrix, plot_roc_curve\n",
    "from sklearn.model_selection import train_test_split\n",
    "from sklearn.neighbors import KNeighborsClassifier\n",
    "from sklearn.linear_model import LogisticRegression\n",
    "from sklearn.tree import DecisionTreeClassifier\n",
    "from sklearn.ensemble import RandomForestClassifier\n",
    "from sklearn.svm import SVC\n",
    "from sklearn.naive_bayes import GaussianNB\n",
    "from sklearn.model_selection import GridSearchCV"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 81,
   "id": "30ceff26",
   "metadata": {},
   "outputs": [],
   "source": [
    "X_train, X_test, y_train, y_test = train_test_split(X,y, random_state = 42)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 82,
   "id": "ec3654f3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='Score', ylabel='Feature'>"
      ]
     },
     "execution_count": 82,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 576x396 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from sklearn.feature_selection import SelectKBest\n",
    "bestFeatures = SelectKBest(k='all')\n",
    "fit = bestFeatures.fit(X_train,y_train)\n",
    "\n",
    "scores = pd.DataFrame(fit.scores_)\n",
    "columns = pd.DataFrame(X.columns)\n",
    "featureScores = pd.concat([columns, scores], axis=1)\n",
    "featureScores.columns = ['Feature','Score']\n",
    "\n",
    "plot = sns.barplot(data=featureScores, x='Score', y='Feature', palette='plasma')\n",
    "plt.box(False)\n",
    "plot"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "57cef11e",
   "metadata": {},
   "source": [
    "#### Considering only the columns with a K score over 50"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 83,
   "id": "434a179e",
   "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>baseline value</th>\n",
       "      <th>accelerations</th>\n",
       "      <th>uterine_contractions</th>\n",
       "      <th>prolongued_decelerations</th>\n",
       "      <th>abnormal_short_term_variability</th>\n",
       "      <th>mean_value_of_short_term_variability</th>\n",
       "      <th>percentage_of_time_with_abnormal_long_term_variability</th>\n",
       "      <th>mean_value_of_long_term_variability</th>\n",
       "      <th>histogram_min</th>\n",
       "      <th>histogram_mode</th>\n",
       "      <th>histogram_variance</th>\n",
       "      <th>fetal_health</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>120.0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>73.0</td>\n",
       "      <td>0.5</td>\n",
       "      <td>43.0</td>\n",
       "      <td>2.4</td>\n",
       "      <td>62.0</td>\n",
       "      <td>120.0</td>\n",
       "      <td>73.0</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>132.0</td>\n",
       "      <td>0.006</td>\n",
       "      <td>0.006</td>\n",
       "      <td>0.0</td>\n",
       "      <td>17.0</td>\n",
       "      <td>2.1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>10.4</td>\n",
       "      <td>68.0</td>\n",
       "      <td>141.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>133.0</td>\n",
       "      <td>0.003</td>\n",
       "      <td>0.008</td>\n",
       "      <td>0.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>2.1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>13.4</td>\n",
       "      <td>68.0</td>\n",
       "      <td>141.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>134.0</td>\n",
       "      <td>0.003</td>\n",
       "      <td>0.008</td>\n",
       "      <td>0.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>2.4</td>\n",
       "      <td>0.0</td>\n",
       "      <td>23.0</td>\n",
       "      <td>53.0</td>\n",
       "      <td>137.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>132.0</td>\n",
       "      <td>0.007</td>\n",
       "      <td>0.008</td>\n",
       "      <td>0.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>2.4</td>\n",
       "      <td>0.0</td>\n",
       "      <td>19.9</td>\n",
       "      <td>53.0</td>\n",
       "      <td>137.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   baseline value  accelerations  uterine_contractions  \\\n",
       "0           120.0          0.000                 0.000   \n",
       "1           132.0          0.006                 0.006   \n",
       "2           133.0          0.003                 0.008   \n",
       "3           134.0          0.003                 0.008   \n",
       "4           132.0          0.007                 0.008   \n",
       "\n",
       "   prolongued_decelerations  abnormal_short_term_variability  \\\n",
       "0                       0.0                             73.0   \n",
       "1                       0.0                             17.0   \n",
       "2                       0.0                             16.0   \n",
       "3                       0.0                             16.0   \n",
       "4                       0.0                             16.0   \n",
       "\n",
       "   mean_value_of_short_term_variability  \\\n",
       "0                                   0.5   \n",
       "1                                   2.1   \n",
       "2                                   2.1   \n",
       "3                                   2.4   \n",
       "4                                   2.4   \n",
       "\n",
       "   percentage_of_time_with_abnormal_long_term_variability  \\\n",
       "0                                               43.0        \n",
       "1                                                0.0        \n",
       "2                                                0.0        \n",
       "3                                                0.0        \n",
       "4                                                0.0        \n",
       "\n",
       "   mean_value_of_long_term_variability  histogram_min  histogram_mode  \\\n",
       "0                                  2.4           62.0           120.0   \n",
       "1                                 10.4           68.0           141.0   \n",
       "2                                 13.4           68.0           141.0   \n",
       "3                                 23.0           53.0           137.0   \n",
       "4                                 19.9           53.0           137.0   \n",
       "\n",
       "   histogram_variance  fetal_health  \n",
       "0                73.0           2.0  \n",
       "1                12.0           1.0  \n",
       "2                13.0           1.0  \n",
       "3                13.0           1.0  \n",
       "4                11.0           1.0  "
      ]
     },
     "execution_count": 83,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "selected = featureScores[featureScores['Score']>=50]\n",
    "selected = list(selected['Feature'])\n",
    "selected.append('fetal_health')\n",
    "fetus = fetus[selected]\n",
    "fetus.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 84,
   "id": "213afecd",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(2126, 12)"
      ]
     },
     "execution_count": 84,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "fetus.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 85,
   "id": "4e7e94c3",
   "metadata": {},
   "outputs": [],
   "source": [
    "X=fetus.drop(['fetal_health'], axis=1)\n",
    "y=fetus['fetal_health']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 86,
   "id": "8a093cef",
   "metadata": {},
   "outputs": [],
   "source": [
    "X_train, X_test, y_train, y_test = train_test_split(X,y, random_state = 42)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1ae12416",
   "metadata": {},
   "source": [
    "### Using a Standard Scaler"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 87,
   "id": "d5822711",
   "metadata": {},
   "outputs": [],
   "source": [
    "scaler = StandardScaler()\n",
    "X_train = scaler.fit_transform(X_train)\n",
    "X_test = scaler.transform(X_test)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c6c6532a",
   "metadata": {},
   "source": [
    "## Kernelized Support Vector Machine"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 88,
   "id": "58d67f4f",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "              precision    recall  f1-score   support\n",
      "\n",
      "         1.0       0.94      0.96      0.95       413\n",
      "         2.0       0.77      0.72      0.74        82\n",
      "         3.0       0.85      0.76      0.80        37\n",
      "\n",
      "    accuracy                           0.91       532\n",
      "   macro avg       0.85      0.81      0.83       532\n",
      "weighted avg       0.91      0.91      0.91       532\n",
      "\n"
     ]
    }
   ],
   "source": [
    "sv_clf = SVC(random_state=42).fit(X_train, y_train)\n",
    "y_pred_sv = sv_clf.predict(X_test)\n",
    "print(classification_report(y_test, y_pred_sv))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5ddefd0f",
   "metadata": {},
   "source": [
    "## Decision Tree Classifier"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 89,
   "id": "bd89a951",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "              precision    recall  f1-score   support\n",
      "\n",
      "         1.0       0.97      0.95      0.96       413\n",
      "         2.0       0.81      0.82      0.81        82\n",
      "         3.0       0.80      0.95      0.86        37\n",
      "\n",
      "    accuracy                           0.93       532\n",
      "   macro avg       0.86      0.90      0.88       532\n",
      "weighted avg       0.93      0.93      0.93       532\n",
      "\n"
     ]
    }
   ],
   "source": [
    "dt_clf = DecisionTreeClassifier(random_state=42).fit(X_train, y_train)\n",
    "y_pred_dt = dt_clf.predict(X_test)\n",
    "print(classification_report(y_test, y_pred_dt))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 90,
   "id": "a9f91859",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Accuracy:  0.9285714285714286\n",
      "Precision:  0.931142479591539\n",
      "Recall:  0.9285714285714286\n",
      "F1 Score:  0.9293289264421251\n"
     ]
    }
   ],
   "source": [
    "print(\"Accuracy: \", accuracy_score(y_test, y_pred_dt))\n",
    "print(\"Precision: \", precision_score(y_test, y_pred_dt, average=\"weighted\"))\n",
    "print(\"Recall: \", recall_score(y_test, y_pred_dt, average=\"weighted\"))\n",
    "print(\"F1 Score: \", f1_score(y_test, y_pred_dt, average=\"weighted\"))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3fc01e86",
   "metadata": {},
   "source": [
    "## Random Forest Classifier"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 91,
   "id": "39f4f667",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "              precision    recall  f1-score   support\n",
      "\n",
      "         1.0       0.96      0.98      0.97       413\n",
      "         2.0       0.88      0.82      0.85        82\n",
      "         3.0       0.97      0.92      0.94        37\n",
      "\n",
      "    accuracy                           0.95       532\n",
      "   macro avg       0.94      0.91      0.92       532\n",
      "weighted avg       0.95      0.95      0.95       532\n",
      "\n"
     ]
    }
   ],
   "source": [
    "rf_clf = RandomForestClassifier(random_state=42).fit(X_train, y_train)\n",
    "y_pred_rf = rf_clf.predict(X_test)\n",
    "print(classification_report(y_test, y_pred_rf))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 92,
   "id": "f39f0493",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Accuracy:  0.9511278195488722\n",
      "Precision:  0.9502563323906358\n",
      "Recall:  0.9511278195488722\n",
      "F1 Score:  0.9503831882623718\n"
     ]
    }
   ],
   "source": [
    "print(\"Accuracy: \", accuracy_score(y_test, y_pred_rf))\n",
    "print(\"Precision: \", precision_score(y_test, y_pred_rf, average=\"weighted\"))\n",
    "print(\"Recall: \", recall_score(y_test, y_pred_rf, average=\"weighted\"))\n",
    "print(\"F1 Score: \", f1_score(y_test, y_pred_rf, average=\"weighted\"))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a4178132",
   "metadata": {},
   "source": [
    "## Tuned Random Forest"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 93,
   "id": "b61a3075",
   "metadata": {},
   "outputs": [],
   "source": [
    "grid_params_rf={\n",
    "    \"criterion\":[\"gini\", \"entropy\"],\n",
    "    \"n_estimators\":[50, 100, 150, 200, 250],\n",
    "    \"max_depth\":[6, 8, 10, 12, 14],\n",
    "    \"min_samples_split\":[2,4,6]\n",
    "}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 94,
   "id": "8b40e143",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Fitting 5 folds for each of 150 candidates, totalling 750 fits\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "GridSearchCV(estimator=RandomForestClassifier(), n_jobs=-1,\n",
       "             param_grid={'criterion': ['gini', 'entropy'],\n",
       "                         'max_depth': [6, 8, 10, 12, 14],\n",
       "                         'min_samples_split': [2, 4, 6],\n",
       "                         'n_estimators': [50, 100, 150, 200, 250]},\n",
       "             verbose=1)"
      ]
     },
     "execution_count": 94,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "gs_rf = GridSearchCV(RandomForestClassifier(), grid_params_rf, verbose=1, n_jobs=-1)\n",
    "gs_rf.fit(X_train, y_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 95,
   "id": "cee2c5ba",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'criterion': 'entropy',\n",
       " 'max_depth': 10,\n",
       " 'min_samples_split': 6,\n",
       " 'n_estimators': 150}"
      ]
     },
     "execution_count": 95,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "gs_rf.best_params_"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 96,
   "id": "4419a6be",
   "metadata": {},
   "outputs": [],
   "source": [
    "randomForest = RandomForestClassifier(**gs_rf.best_params_).fit(X_train, y_train)\n",
    "y_pred = randomForest.predict(X_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 97,
   "id": "d2965060",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "              precision    recall  f1-score   support\n",
      "\n",
      "         1.0       0.96      0.99      0.97       413\n",
      "         2.0       0.92      0.80      0.86        82\n",
      "         3.0       1.00      0.92      0.96        37\n",
      "\n",
      "    accuracy                           0.95       532\n",
      "   macro avg       0.96      0.90      0.93       532\n",
      "weighted avg       0.95      0.95      0.95       532\n",
      "\n"
     ]
    }
   ],
   "source": [
    "print(classification_report(y_test, y_pred))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 98,
   "id": "4de6b7b4",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Accuracy:  0.9548872180451128\n",
      "Precision:  0.9543533128596138\n",
      "Recall:  0.9548872180451128\n",
      "F1 Score:  0.9537603803072406\n"
     ]
    }
   ],
   "source": [
    "print(\"Accuracy: \", accuracy_score(y_test, y_pred))\n",
    "print(\"Precision: \", precision_score(y_test, y_pred, average=\"weighted\"))\n",
    "print(\"Recall: \", recall_score(y_test, y_pred, average=\"weighted\"))\n",
    "print(\"F1 Score: \", f1_score(y_test, y_pred, average=\"weighted\"))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 99,
   "id": "eca1b0cd",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<sklearn.metrics._plot.confusion_matrix.ConfusionMatrixDisplay at 0x19543faeb50>"
      ]
     },
     "execution_count": 99,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 576x396 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_confusion_matrix(randomForest, X_test, y_test, display_labels = ['Normal', 'Suspect', 'Pathological'], cmap = 'YlGnBu')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 100,
   "id": "e71e71b5",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 576x396 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:title={'center':'ROC Curves for RandomForestClassifier'}, xlabel='False Positive Rate', ylabel='True Positive Rate'>"
      ]
     },
     "execution_count": 100,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from yellowbrick.classifier import ROCAUC\n",
    "\n",
    "visualizerRandomForest = ROCAUC(randomForest, classes=['Normal', 'Suspect', 'Pathological'], macro=False)\n",
    "visualizerRandomForest.fit(X_train, y_train)\n",
    "visualizerRandomForest.score(X_test, y_test)\n",
    "visualizerRandomForest.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "423a488f",
   "metadata": {},
   "source": [
    "## Tuned Decision Tree"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 101,
   "id": "93bf5c0c",
   "metadata": {},
   "outputs": [],
   "source": [
    "grid_params_dt={\n",
    "    \"criterion\":[\"gini\", \"entropy\"],\n",
    "    \"splitter\":[\"best\", \"random\"],\n",
    "    \"max_depth\":[6, 8, 10, 12, 14],\n",
    "    \"min_samples_split\":[2,4,6],\n",
    "    \"min_samples_leaf\":[1,2]\n",
    "}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 102,
   "id": "b4f0b546",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Fitting 5 folds for each of 120 candidates, totalling 600 fits\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "GridSearchCV(estimator=DecisionTreeClassifier(), n_jobs=-1,\n",
       "             param_grid={'criterion': ['gini', 'entropy'],\n",
       "                         'max_depth': [6, 8, 10, 12, 14],\n",
       "                         'min_samples_leaf': [1, 2],\n",
       "                         'min_samples_split': [2, 4, 6],\n",
       "                         'splitter': ['best', 'random']},\n",
       "             verbose=1)"
      ]
     },
     "execution_count": 102,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "gs_dt = GridSearchCV(DecisionTreeClassifier(), grid_params_dt, verbose=1, n_jobs=-1)\n",
    "gs_dt.fit(X_train, y_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 103,
   "id": "c225defc",
   "metadata": {},
   "outputs": [],
   "source": [
    "decisionTree = DecisionTreeClassifier(**gs_dt.best_params_).fit(X_train, y_train)\n",
    "y_pred_decisionTree = decisionTree.predict(X_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 104,
   "id": "9a1992e6",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "              precision    recall  f1-score   support\n",
      "\n",
      "         1.0       0.95      0.96      0.96       413\n",
      "         2.0       0.84      0.77      0.80        82\n",
      "         3.0       0.84      0.84      0.84        37\n",
      "\n",
      "    accuracy                           0.92       532\n",
      "   macro avg       0.88      0.86      0.87       532\n",
      "weighted avg       0.92      0.92      0.92       532\n",
      "\n"
     ]
    }
   ],
   "source": [
    "print(classification_report(y_test, y_pred_decisionTree))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 105,
   "id": "445e6ced",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Accuracy:  0.924812030075188\n",
      "Precision:  0.9233959899749373\n",
      "Recall:  0.924812030075188\n",
      "F1 Score:  0.9238052244028686\n"
     ]
    }
   ],
   "source": [
    "print(\"Accuracy: \", accuracy_score(y_test, y_pred_decisionTree))\n",
    "print(\"Precision: \", precision_score(y_test, y_pred_decisionTree, average=\"weighted\"))\n",
    "print(\"Recall: \", recall_score(y_test, y_pred_decisionTree, average=\"weighted\"))\n",
    "print(\"F1 Score: \", f1_score(y_test, y_pred_decisionTree, average=\"weighted\"))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 106,
   "id": "d6405340",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<sklearn.metrics._plot.confusion_matrix.ConfusionMatrixDisplay at 0x19543f95d60>"
      ]
     },
     "execution_count": 106,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 576x396 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_confusion_matrix(decisionTree, X_test, y_test, display_labels = ['Normal', 'Suspect', 'Pathological'], cmap = 'YlGnBu')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 107,
   "id": "42e814d5",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 576x396 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:title={'center':'ROC Curves for DecisionTreeClassifier'}, xlabel='False Positive Rate', ylabel='True Positive Rate'>"
      ]
     },
     "execution_count": 107,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "visualizerDecisionTree = ROCAUC(decisionTree, classes=['Normal', 'Suspect', 'Pathological'], macro=False)\n",
    "visualizerDecisionTree.fit(X_train, y_train)\n",
    "visualizerDecisionTree.score(X_test, y_test)\n",
    "visualizerDecisionTree.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "cff6d3b0",
   "metadata": {},
   "source": [
    "# Tuned SVM"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 108,
   "id": "e58d8090",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Fitting 5 folds for each of 25 candidates, totalling 125 fits\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "GridSearchCV(estimator=SVC(), n_jobs=-1,\n",
       "             param_grid={'C': [0.1, 1, 10, 100, 1000],\n",
       "                         'gamma': [1, 0.1, 0.01, 0.001, 0.0001],\n",
       "                         'kernel': ['rbf']},\n",
       "             verbose=1)"
      ]
     },
     "execution_count": 108,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "param_grid = {'C': [0.1, 1, 10, 100, 1000],\n",
    "              'gamma': [1, 0.1, 0.01, 0.001, 0.0001],\n",
    "              'kernel': ['rbf']}\n",
    " \n",
    "grid = GridSearchCV(SVC(), param_grid, verbose=1, n_jobs=-1)\n",
    " \n",
    "# fitting the model for grid search\n",
    "grid.fit(X_train, y_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 109,
   "id": "aadc2f13",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'C': 100, 'gamma': 0.1, 'kernel': 'rbf'}\n"
     ]
    }
   ],
   "source": [
    "print(grid.best_params_)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 110,
   "id": "b062a48a",
   "metadata": {},
   "outputs": [],
   "source": [
    "grid_predictions = grid.predict(X_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 111,
   "id": "b8b93c44",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "              precision    recall  f1-score   support\n",
      "\n",
      "         1.0       0.97      0.97      0.97       413\n",
      "         2.0       0.81      0.84      0.83        82\n",
      "         3.0       0.83      0.81      0.82        37\n",
      "\n",
      "    accuracy                           0.94       532\n",
      "   macro avg       0.87      0.87      0.87       532\n",
      "weighted avg       0.94      0.94      0.94       532\n",
      "\n"
     ]
    }
   ],
   "source": [
    "print(classification_report(y_test, grid_predictions))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 112,
   "id": "fb332154",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Accuracy:  0.9360902255639098\n",
      "Precision:  0.9367286561186134\n",
      "Recall:  0.9360902255639098\n",
      "F1 Score:  0.9363531664435479\n"
     ]
    }
   ],
   "source": [
    "print(\"Accuracy: \", accuracy_score(y_test, grid_predictions))\n",
    "print(\"Precision: \", precision_score(y_test, grid_predictions, average=\"weighted\"))\n",
    "print(\"Recall: \", recall_score(y_test, grid_predictions, average=\"weighted\"))\n",
    "print(\"F1 Score: \", f1_score(y_test, grid_predictions, average=\"weighted\"))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 113,
   "id": "468a49f5",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<sklearn.metrics._plot.confusion_matrix.ConfusionMatrixDisplay at 0x1954419a7c0>"
      ]
     },
     "execution_count": 113,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 576x396 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_confusion_matrix(grid, X_test, y_test, display_labels = ['Normal', 'Suspect', 'Pathological'], cmap = 'YlGnBu')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 114,
   "id": "d681448a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 576x396 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:title={'center':'ROC Curves for GridSearchCV'}, xlabel='False Positive Rate', ylabel='True Positive Rate'>"
      ]
     },
     "execution_count": 114,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "visualizerSVC = ROCAUC(grid, classes=['Normal', 'Suspect', 'Pathological'], macro=False)\n",
    "visualizerSVC.fit(X_train, y_train)\n",
    "visualizerSVC.score(X_test, y_test)\n",
    "visualizerSVC.show()"
   ]
  }
 ],
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