Model.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 48,
   "id": "458d0444",
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "from sklearn.linear_model import LogisticRegression\n",
    "import joblib\n",
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt\n",
    "import pickle"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "4273d77b",
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.read_csv('./diabetes.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "d2cdf474",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "\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>Pregnancies</th>\n",
       "      <th>Glucose</th>\n",
       "      <th>BloodPressure</th>\n",
       "      <th>SkinThickness</th>\n",
       "      <th>Insulin</th>\n",
       "      <th>BMI</th>\n",
       "      <th>DiabetesPedigreeFunction</th>\n",
       "      <th>Age</th>\n",
       "      <th>Outcome</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>6</td>\n",
       "      <td>148</td>\n",
       "      <td>72</td>\n",
       "      <td>35</td>\n",
       "      <td>0</td>\n",
       "      <td>33.6</td>\n",
       "      <td>0.627</td>\n",
       "      <td>50</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>85</td>\n",
       "      <td>66</td>\n",
       "      <td>29</td>\n",
       "      <td>0</td>\n",
       "      <td>26.6</td>\n",
       "      <td>0.351</td>\n",
       "      <td>31</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>8</td>\n",
       "      <td>183</td>\n",
       "      <td>64</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>23.3</td>\n",
       "      <td>0.672</td>\n",
       "      <td>32</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1</td>\n",
       "      <td>89</td>\n",
       "      <td>66</td>\n",
       "      <td>23</td>\n",
       "      <td>94</td>\n",
       "      <td>28.1</td>\n",
       "      <td>0.167</td>\n",
       "      <td>21</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0</td>\n",
       "      <td>137</td>\n",
       "      <td>40</td>\n",
       "      <td>35</td>\n",
       "      <td>168</td>\n",
       "      <td>43.1</td>\n",
       "      <td>2.288</td>\n",
       "      <td>33</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Pregnancies  Glucose  BloodPressure  SkinThickness  Insulin   BMI  \\\n",
       "0            6      148             72             35        0  33.6   \n",
       "1            1       85             66             29        0  26.6   \n",
       "2            8      183             64              0        0  23.3   \n",
       "3            1       89             66             23       94  28.1   \n",
       "4            0      137             40             35      168  43.1   \n",
       "\n",
       "   DiabetesPedigreeFunction  Age  Outcome  \n",
       "0                     0.627   50        1  \n",
       "1                     0.351   31        0  \n",
       "2                     0.672   32        1  \n",
       "3                     0.167   21        0  \n",
       "4                     2.288   33        1  "
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "05ffe912",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "    }\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>Pregnancies</th>\n",
       "      <th>Glucose</th>\n",
       "      <th>BloodPressure</th>\n",
       "      <th>SkinThickness</th>\n",
       "      <th>Insulin</th>\n",
       "      <th>BMI</th>\n",
       "      <th>DiabetesPedigreeFunction</th>\n",
       "      <th>Age</th>\n",
       "      <th>Outcome</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>763</th>\n",
       "      <td>10</td>\n",
       "      <td>101</td>\n",
       "      <td>76</td>\n",
       "      <td>48</td>\n",
       "      <td>180</td>\n",
       "      <td>32.9</td>\n",
       "      <td>0.171</td>\n",
       "      <td>63</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>764</th>\n",
       "      <td>2</td>\n",
       "      <td>122</td>\n",
       "      <td>70</td>\n",
       "      <td>27</td>\n",
       "      <td>0</td>\n",
       "      <td>36.8</td>\n",
       "      <td>0.340</td>\n",
       "      <td>27</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>765</th>\n",
       "      <td>5</td>\n",
       "      <td>121</td>\n",
       "      <td>72</td>\n",
       "      <td>23</td>\n",
       "      <td>112</td>\n",
       "      <td>26.2</td>\n",
       "      <td>0.245</td>\n",
       "      <td>30</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>766</th>\n",
       "      <td>1</td>\n",
       "      <td>126</td>\n",
       "      <td>60</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>30.1</td>\n",
       "      <td>0.349</td>\n",
       "      <td>47</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>767</th>\n",
       "      <td>1</td>\n",
       "      <td>93</td>\n",
       "      <td>70</td>\n",
       "      <td>31</td>\n",
       "      <td>0</td>\n",
       "      <td>30.4</td>\n",
       "      <td>0.315</td>\n",
       "      <td>23</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     Pregnancies  Glucose  BloodPressure  SkinThickness  Insulin   BMI  \\\n",
       "763           10      101             76             48      180  32.9   \n",
       "764            2      122             70             27        0  36.8   \n",
       "765            5      121             72             23      112  26.2   \n",
       "766            1      126             60              0        0  30.1   \n",
       "767            1       93             70             31        0  30.4   \n",
       "\n",
       "     DiabetesPedigreeFunction  Age  Outcome  \n",
       "763                     0.171   63        0  \n",
       "764                     0.340   27        0  \n",
       "765                     0.245   30        0  \n",
       "766                     0.349   47        1  \n",
       "767                     0.315   23        0  "
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.tail()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "1ea083ed",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(768, 9)"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "0a1873f6",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 24,
     "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": [
    "df.plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "01a65b24",
   "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>Pregnancies</th>\n",
       "      <th>Glucose</th>\n",
       "      <th>BloodPressure</th>\n",
       "      <th>SkinThickness</th>\n",
       "      <th>Insulin</th>\n",
       "      <th>BMI</th>\n",
       "      <th>DiabetesPedigreeFunction</th>\n",
       "      <th>Age</th>\n",
       "      <th>Outcome</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Pregnancies</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.129459</td>\n",
       "      <td>0.141282</td>\n",
       "      <td>-0.081672</td>\n",
       "      <td>-0.073535</td>\n",
       "      <td>0.017683</td>\n",
       "      <td>-0.033523</td>\n",
       "      <td>0.544341</td>\n",
       "      <td>0.221898</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Glucose</th>\n",
       "      <td>0.129459</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.152590</td>\n",
       "      <td>0.057328</td>\n",
       "      <td>0.331357</td>\n",
       "      <td>0.221071</td>\n",
       "      <td>0.137337</td>\n",
       "      <td>0.263514</td>\n",
       "      <td>0.466581</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BloodPressure</th>\n",
       "      <td>0.141282</td>\n",
       "      <td>0.152590</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.207371</td>\n",
       "      <td>0.088933</td>\n",
       "      <td>0.281805</td>\n",
       "      <td>0.041265</td>\n",
       "      <td>0.239528</td>\n",
       "      <td>0.065068</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SkinThickness</th>\n",
       "      <td>-0.081672</td>\n",
       "      <td>0.057328</td>\n",
       "      <td>0.207371</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.436783</td>\n",
       "      <td>0.392573</td>\n",
       "      <td>0.183928</td>\n",
       "      <td>-0.113970</td>\n",
       "      <td>0.074752</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Insulin</th>\n",
       "      <td>-0.073535</td>\n",
       "      <td>0.331357</td>\n",
       "      <td>0.088933</td>\n",
       "      <td>0.436783</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.197859</td>\n",
       "      <td>0.185071</td>\n",
       "      <td>-0.042163</td>\n",
       "      <td>0.130548</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BMI</th>\n",
       "      <td>0.017683</td>\n",
       "      <td>0.221071</td>\n",
       "      <td>0.281805</td>\n",
       "      <td>0.392573</td>\n",
       "      <td>0.197859</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.140647</td>\n",
       "      <td>0.036242</td>\n",
       "      <td>0.292695</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>DiabetesPedigreeFunction</th>\n",
       "      <td>-0.033523</td>\n",
       "      <td>0.137337</td>\n",
       "      <td>0.041265</td>\n",
       "      <td>0.183928</td>\n",
       "      <td>0.185071</td>\n",
       "      <td>0.140647</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.033561</td>\n",
       "      <td>0.173844</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Age</th>\n",
       "      <td>0.544341</td>\n",
       "      <td>0.263514</td>\n",
       "      <td>0.239528</td>\n",
       "      <td>-0.113970</td>\n",
       "      <td>-0.042163</td>\n",
       "      <td>0.036242</td>\n",
       "      <td>0.033561</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.238356</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Outcome</th>\n",
       "      <td>0.221898</td>\n",
       "      <td>0.466581</td>\n",
       "      <td>0.065068</td>\n",
       "      <td>0.074752</td>\n",
       "      <td>0.130548</td>\n",
       "      <td>0.292695</td>\n",
       "      <td>0.173844</td>\n",
       "      <td>0.238356</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                          Pregnancies   Glucose  BloodPressure  SkinThickness  \\\n",
       "Pregnancies                  1.000000  0.129459       0.141282      -0.081672   \n",
       "Glucose                      0.129459  1.000000       0.152590       0.057328   \n",
       "BloodPressure                0.141282  0.152590       1.000000       0.207371   \n",
       "SkinThickness               -0.081672  0.057328       0.207371       1.000000   \n",
       "Insulin                     -0.073535  0.331357       0.088933       0.436783   \n",
       "BMI                          0.017683  0.221071       0.281805       0.392573   \n",
       "DiabetesPedigreeFunction    -0.033523  0.137337       0.041265       0.183928   \n",
       "Age                          0.544341  0.263514       0.239528      -0.113970   \n",
       "Outcome                      0.221898  0.466581       0.065068       0.074752   \n",
       "\n",
       "                           Insulin       BMI  DiabetesPedigreeFunction  \\\n",
       "Pregnancies              -0.073535  0.017683                 -0.033523   \n",
       "Glucose                   0.331357  0.221071                  0.137337   \n",
       "BloodPressure             0.088933  0.281805                  0.041265   \n",
       "SkinThickness             0.436783  0.392573                  0.183928   \n",
       "Insulin                   1.000000  0.197859                  0.185071   \n",
       "BMI                       0.197859  1.000000                  0.140647   \n",
       "DiabetesPedigreeFunction  0.185071  0.140647                  1.000000   \n",
       "Age                      -0.042163  0.036242                  0.033561   \n",
       "Outcome                   0.130548  0.292695                  0.173844   \n",
       "\n",
       "                               Age   Outcome  \n",
       "Pregnancies               0.544341  0.221898  \n",
       "Glucose                   0.263514  0.466581  \n",
       "BloodPressure             0.239528  0.065068  \n",
       "SkinThickness            -0.113970  0.074752  \n",
       "Insulin                  -0.042163  0.130548  \n",
       "BMI                       0.036242  0.292695  \n",
       "DiabetesPedigreeFunction  0.033561  0.173844  \n",
       "Age                       1.000000  0.238356  \n",
       "Outcome                   0.238356  1.000000  "
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.corr()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "8793628d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1440x1440 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize=(20,20))         # Sample figsize in inches\n",
    "sns.heatmap(df.corr(), annot_kws={\"fontsize\":18},linewidth=1, linecolor='w', square=True,annot=True,ax=ax)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "id": "89cb4ee3",
   "metadata": {},
   "outputs": [],
   "source": [
    "x = df.iloc[:,:8]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "id": "2ef3b2aa",
   "metadata": {},
   "outputs": [],
   "source": [
    "y = df.iloc[:,8:9]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "773991b9",
   "metadata": {},
   "outputs": [],
   "source": [
    "model = LogisticRegression()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "id": "2b9647eb",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/vivek/.local/lib/python3.8/site-packages/sklearn/utils/validation.py:985: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  y = column_or_1d(y, warn=True)\n",
      "/home/vivek/.local/lib/python3.8/site-packages/sklearn/linear_model/_logistic.py:814: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
      "\n",
      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
      "Please also refer to the documentation for alternative solver options:\n",
      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
      "  n_iter_i = _check_optimize_result(\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "LogisticRegression()"
      ]
     },
     "execution_count": 45,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "model.fit(x,y)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "id": "c63c46d4",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/vivek/.local/lib/python3.8/site-packages/sklearn/base.py:441: UserWarning: X does not have valid feature names, but LogisticRegression was fitted with feature names\n",
      "  warnings.warn(\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "array([0])"
      ]
     },
     "execution_count": 47,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "unseen = np.array([[10,101,76,48,180,32.9,0.171,63]])\n",
    "model.predict(unseen)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "id": "4dfdca98",
   "metadata": {},
   "outputs": [],
   "source": [
    "filename = 'model.ml'\n",
    "pickle.dump(model, open(filename, 'wb'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "adfe83e3",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
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  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
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   "file_extension": ".py",
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