Wine Quality Prediction.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "8f7b0353",
   "metadata": {},
   "source": [
    "# Importing Libraries"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "608636b5",
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "%matplotlib inline\n",
    "import warnings\n",
    "warnings.filterwarnings('ignore')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a587fbd2",
   "metadata": {},
   "source": [
    "# Loading Dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "851acd61",
   "metadata": {},
   "outputs": [],
   "source": [
    "data = pd.read_csv(\"winequality.csv\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "df859472",
   "metadata": {},
   "source": [
    "# Studying data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "94214d8f",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>fixed acidity</th>\n",
       "      <th>volatile acidity</th>\n",
       "      <th>citric acid</th>\n",
       "      <th>residual sugar</th>\n",
       "      <th>chlorides</th>\n",
       "      <th>free sulfur dioxide</th>\n",
       "      <th>total sulfur dioxide</th>\n",
       "      <th>density</th>\n",
       "      <th>pH</th>\n",
       "      <th>sulphates</th>\n",
       "      <th>alcohol</th>\n",
       "      <th>quality</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>7.4</td>\n",
       "      <td>0.70</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.9</td>\n",
       "      <td>0.076</td>\n",
       "      <td>11.0</td>\n",
       "      <td>34.0</td>\n",
       "      <td>0.9978</td>\n",
       "      <td>3.51</td>\n",
       "      <td>0.56</td>\n",
       "      <td>9.4</td>\n",
       "      <td>5</td>\n",
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       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>7.8</td>\n",
       "      <td>0.88</td>\n",
       "      <td>0.00</td>\n",
       "      <td>2.6</td>\n",
       "      <td>0.098</td>\n",
       "      <td>25.0</td>\n",
       "      <td>67.0</td>\n",
       "      <td>0.9968</td>\n",
       "      <td>3.20</td>\n",
       "      <td>0.68</td>\n",
       "      <td>9.8</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>7.8</td>\n",
       "      <td>0.76</td>\n",
       "      <td>0.04</td>\n",
       "      <td>2.3</td>\n",
       "      <td>0.092</td>\n",
       "      <td>15.0</td>\n",
       "      <td>54.0</td>\n",
       "      <td>0.9970</td>\n",
       "      <td>3.26</td>\n",
       "      <td>0.65</td>\n",
       "      <td>9.8</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>11.2</td>\n",
       "      <td>0.28</td>\n",
       "      <td>0.56</td>\n",
       "      <td>1.9</td>\n",
       "      <td>0.075</td>\n",
       "      <td>17.0</td>\n",
       "      <td>60.0</td>\n",
       "      <td>0.9980</td>\n",
       "      <td>3.16</td>\n",
       "      <td>0.58</td>\n",
       "      <td>9.8</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>7.4</td>\n",
       "      <td>0.70</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.9</td>\n",
       "      <td>0.076</td>\n",
       "      <td>11.0</td>\n",
       "      <td>34.0</td>\n",
       "      <td>0.9978</td>\n",
       "      <td>3.51</td>\n",
       "      <td>0.56</td>\n",
       "      <td>9.4</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   fixed acidity  volatile acidity  citric acid  residual sugar  chlorides  \\\n",
       "0            7.4              0.70         0.00             1.9      0.076   \n",
       "1            7.8              0.88         0.00             2.6      0.098   \n",
       "2            7.8              0.76         0.04             2.3      0.092   \n",
       "3           11.2              0.28         0.56             1.9      0.075   \n",
       "4            7.4              0.70         0.00             1.9      0.076   \n",
       "\n",
       "   free sulfur dioxide  total sulfur dioxide  density    pH  sulphates  \\\n",
       "0                 11.0                  34.0   0.9978  3.51       0.56   \n",
       "1                 25.0                  67.0   0.9968  3.20       0.68   \n",
       "2                 15.0                  54.0   0.9970  3.26       0.65   \n",
       "3                 17.0                  60.0   0.9980  3.16       0.58   \n",
       "4                 11.0                  34.0   0.9978  3.51       0.56   \n",
       "\n",
       "   alcohol  quality  \n",
       "0      9.4        5  \n",
       "1      9.8        5  \n",
       "2      9.8        5  \n",
       "3      9.8        6  \n",
       "4      9.4        5  "
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "2aa51bde",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>fixed acidity</th>\n",
       "      <th>volatile acidity</th>\n",
       "      <th>citric acid</th>\n",
       "      <th>residual sugar</th>\n",
       "      <th>chlorides</th>\n",
       "      <th>free sulfur dioxide</th>\n",
       "      <th>total sulfur dioxide</th>\n",
       "      <th>density</th>\n",
       "      <th>pH</th>\n",
       "      <th>sulphates</th>\n",
       "      <th>alcohol</th>\n",
       "      <th>quality</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1594</th>\n",
       "      <td>6.2</td>\n",
       "      <td>0.600</td>\n",
       "      <td>0.08</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.090</td>\n",
       "      <td>32.0</td>\n",
       "      <td>44.0</td>\n",
       "      <td>0.99490</td>\n",
       "      <td>3.45</td>\n",
       "      <td>0.58</td>\n",
       "      <td>10.5</td>\n",
       "      <td>5</td>\n",
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       "    <tr>\n",
       "      <th>1595</th>\n",
       "      <td>5.9</td>\n",
       "      <td>0.550</td>\n",
       "      <td>0.10</td>\n",
       "      <td>2.2</td>\n",
       "      <td>0.062</td>\n",
       "      <td>39.0</td>\n",
       "      <td>51.0</td>\n",
       "      <td>0.99512</td>\n",
       "      <td>3.52</td>\n",
       "      <td>0.76</td>\n",
       "      <td>11.2</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1596</th>\n",
       "      <td>6.3</td>\n",
       "      <td>0.510</td>\n",
       "      <td>0.13</td>\n",
       "      <td>2.3</td>\n",
       "      <td>0.076</td>\n",
       "      <td>29.0</td>\n",
       "      <td>40.0</td>\n",
       "      <td>0.99574</td>\n",
       "      <td>3.42</td>\n",
       "      <td>0.75</td>\n",
       "      <td>11.0</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1597</th>\n",
       "      <td>5.9</td>\n",
       "      <td>0.645</td>\n",
       "      <td>0.12</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.075</td>\n",
       "      <td>32.0</td>\n",
       "      <td>44.0</td>\n",
       "      <td>0.99547</td>\n",
       "      <td>3.57</td>\n",
       "      <td>0.71</td>\n",
       "      <td>10.2</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1598</th>\n",
       "      <td>6.0</td>\n",
       "      <td>0.310</td>\n",
       "      <td>0.47</td>\n",
       "      <td>3.6</td>\n",
       "      <td>0.067</td>\n",
       "      <td>18.0</td>\n",
       "      <td>42.0</td>\n",
       "      <td>0.99549</td>\n",
       "      <td>3.39</td>\n",
       "      <td>0.66</td>\n",
       "      <td>11.0</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
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      "text/plain": [
       "      fixed acidity  volatile acidity  citric acid  residual sugar  chlorides  \\\n",
       "1594            6.2             0.600         0.08             2.0      0.090   \n",
       "1595            5.9             0.550         0.10             2.2      0.062   \n",
       "1596            6.3             0.510         0.13             2.3      0.076   \n",
       "1597            5.9             0.645         0.12             2.0      0.075   \n",
       "1598            6.0             0.310         0.47             3.6      0.067   \n",
       "\n",
       "      free sulfur dioxide  total sulfur dioxide  density    pH  sulphates  \\\n",
       "1594                 32.0                  44.0  0.99490  3.45       0.58   \n",
       "1595                 39.0                  51.0  0.99512  3.52       0.76   \n",
       "1596                 29.0                  40.0  0.99574  3.42       0.75   \n",
       "1597                 32.0                  44.0  0.99547  3.57       0.71   \n",
       "1598                 18.0                  42.0  0.99549  3.39       0.66   \n",
       "\n",
       "      alcohol  quality  \n",
       "1594     10.5        5  \n",
       "1595     11.2        6  \n",
       "1596     11.0        6  \n",
       "1597     10.2        5  \n",
       "1598     11.0        6  "
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     "execution_count": 4,
     "metadata": {},
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    "data.tail()"
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   "cell_type": "code",
   "execution_count": 5,
   "id": "849ff642",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(1599, 12)"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
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   "source": [
    "data.shape"
   ]
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  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "46efdad8",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 1599 entries, 0 to 1598\n",
      "Data columns (total 12 columns):\n",
      " #   Column                Non-Null Count  Dtype  \n",
      "---  ------                --------------  -----  \n",
      " 0   fixed acidity         1599 non-null   float64\n",
      " 1   volatile acidity      1599 non-null   float64\n",
      " 2   citric acid           1599 non-null   float64\n",
      " 3   residual sugar        1599 non-null   float64\n",
      " 4   chlorides             1599 non-null   float64\n",
      " 5   free sulfur dioxide   1599 non-null   float64\n",
      " 6   total sulfur dioxide  1599 non-null   float64\n",
      " 7   density               1599 non-null   float64\n",
      " 8   pH                    1599 non-null   float64\n",
      " 9   sulphates             1599 non-null   float64\n",
      " 10  alcohol               1599 non-null   float64\n",
      " 11  quality               1599 non-null   int64  \n",
      "dtypes: float64(11), int64(1)\n",
      "memory usage: 150.0 KB\n"
     ]
    }
   ],
   "source": [
    "data.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "7f80c397",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>fixed acidity</th>\n",
       "      <th>volatile acidity</th>\n",
       "      <th>citric acid</th>\n",
       "      <th>residual sugar</th>\n",
       "      <th>chlorides</th>\n",
       "      <th>free sulfur dioxide</th>\n",
       "      <th>total sulfur dioxide</th>\n",
       "      <th>density</th>\n",
       "      <th>pH</th>\n",
       "      <th>sulphates</th>\n",
       "      <th>alcohol</th>\n",
       "      <th>quality</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>1599.000000</td>\n",
       "      <td>1599.000000</td>\n",
       "      <td>1599.000000</td>\n",
       "      <td>1599.000000</td>\n",
       "      <td>1599.000000</td>\n",
       "      <td>1599.000000</td>\n",
       "      <td>1599.000000</td>\n",
       "      <td>1599.000000</td>\n",
       "      <td>1599.000000</td>\n",
       "      <td>1599.000000</td>\n",
       "      <td>1599.000000</td>\n",
       "      <td>1599.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>8.319637</td>\n",
       "      <td>0.527821</td>\n",
       "      <td>0.270976</td>\n",
       "      <td>2.538806</td>\n",
       "      <td>0.087467</td>\n",
       "      <td>15.874922</td>\n",
       "      <td>46.467792</td>\n",
       "      <td>0.996747</td>\n",
       "      <td>3.311113</td>\n",
       "      <td>0.658149</td>\n",
       "      <td>10.422983</td>\n",
       "      <td>5.636023</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>1.741096</td>\n",
       "      <td>0.179060</td>\n",
       "      <td>0.194801</td>\n",
       "      <td>1.409928</td>\n",
       "      <td>0.047065</td>\n",
       "      <td>10.460157</td>\n",
       "      <td>32.895324</td>\n",
       "      <td>0.001887</td>\n",
       "      <td>0.154386</td>\n",
       "      <td>0.169507</td>\n",
       "      <td>1.065668</td>\n",
       "      <td>0.807569</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>4.600000</td>\n",
       "      <td>0.120000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.900000</td>\n",
       "      <td>0.012000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>6.000000</td>\n",
       "      <td>0.990070</td>\n",
       "      <td>2.740000</td>\n",
       "      <td>0.330000</td>\n",
       "      <td>8.400000</td>\n",
       "      <td>3.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>7.100000</td>\n",
       "      <td>0.390000</td>\n",
       "      <td>0.090000</td>\n",
       "      <td>1.900000</td>\n",
       "      <td>0.070000</td>\n",
       "      <td>7.000000</td>\n",
       "      <td>22.000000</td>\n",
       "      <td>0.995600</td>\n",
       "      <td>3.210000</td>\n",
       "      <td>0.550000</td>\n",
       "      <td>9.500000</td>\n",
       "      <td>5.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>7.900000</td>\n",
       "      <td>0.520000</td>\n",
       "      <td>0.260000</td>\n",
       "      <td>2.200000</td>\n",
       "      <td>0.079000</td>\n",
       "      <td>14.000000</td>\n",
       "      <td>38.000000</td>\n",
       "      <td>0.996750</td>\n",
       "      <td>3.310000</td>\n",
       "      <td>0.620000</td>\n",
       "      <td>10.200000</td>\n",
       "      <td>6.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>9.200000</td>\n",
       "      <td>0.640000</td>\n",
       "      <td>0.420000</td>\n",
       "      <td>2.600000</td>\n",
       "      <td>0.090000</td>\n",
       "      <td>21.000000</td>\n",
       "      <td>62.000000</td>\n",
       "      <td>0.997835</td>\n",
       "      <td>3.400000</td>\n",
       "      <td>0.730000</td>\n",
       "      <td>11.100000</td>\n",
       "      <td>6.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>15.900000</td>\n",
       "      <td>1.580000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>15.500000</td>\n",
       "      <td>0.611000</td>\n",
       "      <td>72.000000</td>\n",
       "      <td>289.000000</td>\n",
       "      <td>1.003690</td>\n",
       "      <td>4.010000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>14.900000</td>\n",
       "      <td>8.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       fixed acidity  volatile acidity  citric acid  residual sugar  \\\n",
       "count    1599.000000       1599.000000  1599.000000     1599.000000   \n",
       "mean        8.319637          0.527821     0.270976        2.538806   \n",
       "std         1.741096          0.179060     0.194801        1.409928   \n",
       "min         4.600000          0.120000     0.000000        0.900000   \n",
       "25%         7.100000          0.390000     0.090000        1.900000   \n",
       "50%         7.900000          0.520000     0.260000        2.200000   \n",
       "75%         9.200000          0.640000     0.420000        2.600000   \n",
       "max        15.900000          1.580000     1.000000       15.500000   \n",
       "\n",
       "         chlorides  free sulfur dioxide  total sulfur dioxide      density  \\\n",
       "count  1599.000000          1599.000000           1599.000000  1599.000000   \n",
       "mean      0.087467            15.874922             46.467792     0.996747   \n",
       "std       0.047065            10.460157             32.895324     0.001887   \n",
       "min       0.012000             1.000000              6.000000     0.990070   \n",
       "25%       0.070000             7.000000             22.000000     0.995600   \n",
       "50%       0.079000            14.000000             38.000000     0.996750   \n",
       "75%       0.090000            21.000000             62.000000     0.997835   \n",
       "max       0.611000            72.000000            289.000000     1.003690   \n",
       "\n",
       "                pH    sulphates      alcohol      quality  \n",
       "count  1599.000000  1599.000000  1599.000000  1599.000000  \n",
       "mean      3.311113     0.658149    10.422983     5.636023  \n",
       "std       0.154386     0.169507     1.065668     0.807569  \n",
       "min       2.740000     0.330000     8.400000     3.000000  \n",
       "25%       3.210000     0.550000     9.500000     5.000000  \n",
       "50%       3.310000     0.620000    10.200000     6.000000  \n",
       "75%       3.400000     0.730000    11.100000     6.000000  \n",
       "max       4.010000     2.000000    14.900000     8.000000  "
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "de7ff4de",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "fixed acidity           0\n",
       "volatile acidity        0\n",
       "citric acid             0\n",
       "residual sugar          0\n",
       "chlorides               0\n",
       "free sulfur dioxide     0\n",
       "total sulfur dioxide    0\n",
       "density                 0\n",
       "pH                      0\n",
       "sulphates               0\n",
       "alcohol                 0\n",
       "quality                 0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.isnull().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "8821870f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "5    681\n",
       "6    638\n",
       "7    199\n",
       "4     53\n",
       "8     18\n",
       "3     10\n",
       "Name: quality, dtype: int64"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data['quality'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "2c01b6ab",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='quality', ylabel='count'>"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.countplot(data['quality'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "afbaa5d7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1000x700 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(10,7))\n",
    "sns.heatmap(data.corr(), annot=True)\n",
    "plt.title('Correlation between the columns')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "86d91425",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "quality                 1.000000\n",
       "alcohol                 0.476166\n",
       "sulphates               0.251397\n",
       "citric acid             0.226373\n",
       "fixed acidity           0.124052\n",
       "residual sugar          0.013732\n",
       "free sulfur dioxide    -0.050656\n",
       "pH                     -0.057731\n",
       "chlorides              -0.128907\n",
       "density                -0.174919\n",
       "total sulfur dioxide   -0.185100\n",
       "volatile acidity       -0.390558\n",
       "Name: quality, dtype: float64"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.corr()['quality'].sort_values(ascending=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "bebaa9da",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Quality less than 6 is low and above 6 is high quality\n",
    "data['quality'] = data.quality.apply(lambda x:1 if x>=7 else 0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "8bfe7950",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0    1382\n",
       "1     217\n",
       "Name: quality, dtype: int64"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data['quality'].value_counts()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b09fa745",
   "metadata": {},
   "source": [
    "# X and y matrix"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "15f67029",
   "metadata": {},
   "outputs": [],
   "source": [
    "feature_columns = ['alcohol','sulphates','citric acid','fixed acidity','residual sugar']\n",
    "X = data[feature_columns]\n",
    "y = data['quality']"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f5ca69c1",
   "metadata": {},
   "source": [
    "# Splitting into train and test datasets"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "b9f96454",
   "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,random_state=45)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "78b16d96",
   "metadata": {},
   "source": [
    "# Logistic Regression Classification Model"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "606aeafd",
   "metadata": {},
   "source": [
    "### Instantiating the model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "ce4d181c",
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.linear_model import LogisticRegression\n",
    "logreg = LogisticRegression()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0b338ca0",
   "metadata": {},
   "source": [
    "### Fitting the model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "22a6830c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<style>#sk-container-id-1 {color: black;background-color: white;}#sk-container-id-1 pre{padding: 0;}#sk-container-id-1 div.sk-toggleable {background-color: white;}#sk-container-id-1 label.sk-toggleable__label {cursor: pointer;display: block;width: 100%;margin-bottom: 0;padding: 0.3em;box-sizing: border-box;text-align: center;}#sk-container-id-1 label.sk-toggleable__label-arrow:before {content: \"▸\";float: left;margin-right: 0.25em;color: #696969;}#sk-container-id-1 label.sk-toggleable__label-arrow:hover:before {color: black;}#sk-container-id-1 div.sk-estimator:hover label.sk-toggleable__label-arrow:before {color: black;}#sk-container-id-1 div.sk-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}#sk-container-id-1 div.sk-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}#sk-container-id-1 input.sk-toggleable__control:checked~div.sk-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}#sk-container-id-1 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {content: \"▾\";}#sk-container-id-1 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 input.sk-hidden--visually {border: 0;clip: rect(1px 1px 1px 1px);clip: rect(1px, 1px, 1px, 1px);height: 1px;margin: -1px;overflow: hidden;padding: 0;position: absolute;width: 1px;}#sk-container-id-1 div.sk-estimator {font-family: monospace;background-color: #f0f8ff;border: 1px dotted black;border-radius: 0.25em;box-sizing: border-box;margin-bottom: 0.5em;}#sk-container-id-1 div.sk-estimator:hover {background-color: #d4ebff;}#sk-container-id-1 div.sk-parallel-item::after {content: \"\";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}#sk-container-id-1 div.sk-label:hover label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 div.sk-serial::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: 0;}#sk-container-id-1 div.sk-serial {display: flex;flex-direction: column;align-items: center;background-color: white;padding-right: 0.2em;padding-left: 0.2em;position: relative;}#sk-container-id-1 div.sk-item {position: relative;z-index: 1;}#sk-container-id-1 div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: white;position: relative;}#sk-container-id-1 div.sk-item::before, #sk-container-id-1 div.sk-parallel-item::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: -1;}#sk-container-id-1 div.sk-parallel-item {display: flex;flex-direction: column;z-index: 1;position: relative;background-color: white;}#sk-container-id-1 div.sk-parallel-item:first-child::after {align-self: flex-end;width: 50%;}#sk-container-id-1 div.sk-parallel-item:last-child::after {align-self: flex-start;width: 50%;}#sk-container-id-1 div.sk-parallel-item:only-child::after {width: 0;}#sk-container-id-1 div.sk-dashed-wrapped {border: 1px dashed gray;margin: 0 0.4em 0.5em 0.4em;box-sizing: border-box;padding-bottom: 0.4em;background-color: white;}#sk-container-id-1 div.sk-label label {font-family: monospace;font-weight: bold;display: inline-block;line-height: 1.2em;}#sk-container-id-1 div.sk-label-container {text-align: center;}#sk-container-id-1 div.sk-container {/* jupyter's `normalize.less` sets `[hidden] { display: none; }` but bootstrap.min.css set `[hidden] { display: none !important; }` so we also need the `!important` here to be able to override the default hidden behavior on the sphinx rendered scikit-learn.org. See: https://github.com/scikit-learn/scikit-learn/issues/21755 */display: inline-block !important;position: relative;}#sk-container-id-1 div.sk-text-repr-fallback {display: none;}</style><div id=\"sk-container-id-1\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>LogisticRegression()</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-1\" type=\"checkbox\" checked><label for=\"sk-estimator-id-1\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">LogisticRegression</label><div class=\"sk-toggleable__content\"><pre>LogisticRegression()</pre></div></div></div></div></div>"
      ],
      "text/plain": [
       "LogisticRegression()"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "logreg.fit(X_train,y_train)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "cf278114",
   "metadata": {},
   "source": [
    "### Evaluating the model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "237719b1",
   "metadata": {},
   "outputs": [],
   "source": [
    "y_pred = logreg.predict(X_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "6cbbb31b",
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.metrics import accuracy_score"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "8cbd3dd7",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Accuracy Score: 86.25%\n"
     ]
    }
   ],
   "source": [
    "print(\"Accuracy Score: {:.2f}%\".format(accuracy_score(y_test,y_pred)*100))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "edc6fc3c",
   "metadata": {},
   "source": [
    "### Predicting the result "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "de8d94d0",
   "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",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>fixed acidity</th>\n",
       "      <th>volatile acidity</th>\n",
       "      <th>citric acid</th>\n",
       "      <th>residual sugar</th>\n",
       "      <th>chlorides</th>\n",
       "      <th>free sulfur dioxide</th>\n",
       "      <th>total sulfur dioxide</th>\n",
       "      <th>density</th>\n",
       "      <th>pH</th>\n",
       "      <th>sulphates</th>\n",
       "      <th>alcohol</th>\n",
       "      <th>quality</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1294</th>\n",
       "      <td>8.2</td>\n",
       "      <td>0.635</td>\n",
       "      <td>0.1</td>\n",
       "      <td>2.1</td>\n",
       "      <td>0.073</td>\n",
       "      <td>25.0</td>\n",
       "      <td>60.0</td>\n",
       "      <td>0.99638</td>\n",
       "      <td>3.29</td>\n",
       "      <td>0.75</td>\n",
       "      <td>10.9</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      fixed acidity  volatile acidity  citric acid  residual sugar  chlorides  \\\n",
       "1294            8.2             0.635          0.1             2.1      0.073   \n",
       "\n",
       "      free sulfur dioxide  total sulfur dioxide  density    pH  sulphates  \\\n",
       "1294                 25.0                  60.0  0.99638  3.29       0.75   \n",
       "\n",
       "      alcohol  quality  \n",
       "1294     10.9        0  "
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.sample(1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "e9b547a0",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([0], dtype=int64)"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "logreg.predict([[10.9,0.75,0.1,8.2,2.1]])"
   ]
  }
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