Wine Quality Prediction.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "0ee6b17e",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline\n",
    "from matplotlib import style\n",
    "import seaborn as sns\n",
    "import warnings\n",
    "warnings.filterwarnings('ignore')\n",
    "from sklearn.model_selection import train_test_split\n",
    "from sklearn.metrics import confusion_matrix, classification_report, accuracy_score, ConfusionMatrixDisplay\n",
    "from sklearn.preprocessing import StandardScaler\n",
    "from sklearn.linear_model import LogisticRegression\n",
    "from sklearn.tree import DecisionTreeClassifier\n",
    "from sklearn.ensemble import RandomForestClassifier"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "5d44db06",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>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",
       "    </tr>\n",
       "    <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": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "wine_df = pd.read_csv('winequality-red.csv', sep=';')\n",
    "wine_df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "53465e51",
   "metadata": {},
   "source": [
    "## EDA "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "c6f6e144",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(1599, 12)"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "wine_df.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "e537d8c1",
   "metadata": {},
   "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": [
    "wine_df.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "cdbba119",
   "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": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "wine_df.isnull().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "f2346d65",
   "metadata": {},
   "outputs": [
    {
     "data": {
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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>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": [
    "wine_df.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "125e07ac",
   "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": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "wine_df['quality'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "9921bc86",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='quality', ylabel='count'>"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "style.use('ggplot')\n",
    "sns.countplot(wine_df['quality'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "820ad5a9",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x864 with 12 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "wine_df.hist(bins=100, figsize=(10,12))\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "bcdff4c7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x504 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(10,7))\n",
    "sns.heatmap(wine_df.corr(), annot=True)\n",
    "plt.title('Correlation between the columns')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "3d1554a8",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "volatile acidity       -0.390558\n",
       "total sulfur dioxide   -0.185100\n",
       "density                -0.174919\n",
       "chlorides              -0.128907\n",
       "pH                     -0.057731\n",
       "free sulfur dioxide    -0.050656\n",
       "residual sugar          0.013732\n",
       "fixed acidity           0.124052\n",
       "citric acid             0.226373\n",
       "sulphates               0.251397\n",
       "alcohol                 0.476166\n",
       "quality                 1.000000\n",
       "Name: quality, dtype: float64"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "wine_df.corr()['quality'].sort_values()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "2432943e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='quality', ylabel='alcohol'>"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.barplot(wine_df['quality'], wine_df['alcohol'])"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "330370d5",
   "metadata": {},
   "source": [
    "## Data Processing "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "de2d76c1",
   "metadata": {},
   "outputs": [],
   "source": [
    "wine_df['quality'] = wine_df.quality.apply(lambda x:1 if x>=7 else 0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "274a2adc",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0    1382\n",
       "1     217\n",
       "Name: quality, dtype: int64"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "wine_df['quality'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "83cb3b8b",
   "metadata": {},
   "outputs": [],
   "source": [
    "X = wine_df.drop('quality', axis=1)\n",
    "y = wine_df['quality']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "ab675801",
   "metadata": {},
   "outputs": [],
   "source": [
    "X_train, X_test, y_train, y_test = train_test_split(X,y, test_size=0.3, random_state=42)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "ea753fb5",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "X_train  (1119, 11)\n",
      "y_train  (1119,)\n",
      "X_test  (480, 11)\n",
      "y_test  (480,)\n"
     ]
    }
   ],
   "source": [
    "print(\"X_train \", X_train.shape)\n",
    "print(\"y_train \", y_train.shape)\n",
    "print(\"X_test \", X_test.shape)\n",
    "print(\"y_test \", y_test.shape)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3dcc6193",
   "metadata": {},
   "source": [
    "## Model Training "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "99e7151c",
   "metadata": {},
   "source": [
    "#### logistic Regression model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "7f273184",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "test accuracy is: 86.67%\n"
     ]
    }
   ],
   "source": [
    "logreg = LogisticRegression()\n",
    "logreg.fit(X_train, y_train)\n",
    "logreg_pred = logreg.predict(X_test)\n",
    "logreg_acc = accuracy_score(logreg_pred, y_test)\n",
    "print(\"test accuracy is: {:.2f}%\".format(logreg_acc*100))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "1ae5b3d3",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "              precision    recall  f1-score   support\n",
      "\n",
      "           0       0.88      0.97      0.93       413\n",
      "           1       0.56      0.21      0.30        67\n",
      "\n",
      "    accuracy                           0.87       480\n",
      "   macro avg       0.72      0.59      0.62       480\n",
      "weighted avg       0.84      0.87      0.84       480\n",
      "\n"
     ]
    }
   ],
   "source": [
    "print(classification_report(y_test, logreg_pred))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "f47e13ac",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "TN:  402\n",
      "FN:  53\n",
      "TP:  14\n",
      "FP:  11\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "style.use('classic')\n",
    "cm = confusion_matrix(y_test, logreg_pred, labels=logreg.classes_)\n",
    "disp = ConfusionMatrixDisplay(confusion_matrix= cm, display_labels=logreg.classes_)\n",
    "disp.plot()\n",
    "print(\"TN: \", cm[0][0])\n",
    "print(\"FN: \", cm[1][0])\n",
    "print(\"TP: \", cm[1][1])\n",
    "print(\"FP: \", cm[0][1])"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e9a25d24",
   "metadata": {},
   "source": [
    "#### Decision Tree "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "06fa891f",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Test accuracy: 86.25%\n"
     ]
    }
   ],
   "source": [
    "dtree = DecisionTreeClassifier()\n",
    "dtree.fit(X_train, y_train)\n",
    "dtree_pred = dtree.predict(X_test)\n",
    "dtree_acc = accuracy_score(dtree_pred, y_test)\n",
    "print(\"Test accuracy: {:.2f}%\".format(dtree_acc*100))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "793c60ec",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "              precision    recall  f1-score   support\n",
      "\n",
      "           0       0.93      0.90      0.92       413\n",
      "           1       0.51      0.61      0.55        67\n",
      "\n",
      "    accuracy                           0.86       480\n",
      "   macro avg       0.72      0.76      0.74       480\n",
      "weighted avg       0.88      0.86      0.87       480\n",
      "\n"
     ]
    }
   ],
   "source": [
    "print(classification_report(y_test, dtree_pred))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "078b8d0a",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "TN:  373\n",
      "FN:  26\n",
      "TP:  41\n",
      "FP:  40\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "style.use('classic')\n",
    "cm = confusion_matrix(y_test, dtree_pred, labels=dtree.classes_)\n",
    "disp = ConfusionMatrixDisplay(confusion_matrix= cm, display_labels=dtree.classes_)\n",
    "disp.plot()\n",
    "print(\"TN: \", cm[0][0])\n",
    "print(\"FN: \", cm[1][0])\n",
    "print(\"TP: \", cm[1][1])\n",
    "print(\"FP: \", cm[0][1])"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "82179c12",
   "metadata": {},
   "source": [
    "#### Random Forest  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "58a28e8e",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Test accuracy: 88.75%\n"
     ]
    }
   ],
   "source": [
    "rforest = RandomForestClassifier()\n",
    "rforest.fit(X_train, y_train)\n",
    "rforest_pred = rforest.predict(X_test)\n",
    "rforest_acc = accuracy_score(rforest_pred, y_test)\n",
    "print(\"Test accuracy: {:.2f}%\".format(rforest_acc*100))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "91482c40",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "              precision    recall  f1-score   support\n",
      "\n",
      "           0       0.92      0.95      0.94       413\n",
      "           1       0.63      0.48      0.54        67\n",
      "\n",
      "    accuracy                           0.89       480\n",
      "   macro avg       0.77      0.72      0.74       480\n",
      "weighted avg       0.88      0.89      0.88       480\n",
      "\n"
     ]
    }
   ],
   "source": [
    "print(classification_report(y_test, rforest_pred))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "489f3c2d",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "TN:  394\n",
      "FN:  35\n",
      "TP:  32\n",
      "FP:  19\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "style.use('classic')\n",
    "cm = confusion_matrix(y_test, rforest_pred, labels=rforest.classes_)\n",
    "disp = ConfusionMatrixDisplay(confusion_matrix= cm, display_labels=rforest.classes_)\n",
    "disp.plot()\n",
    "print(\"TN: \", cm[0][0])\n",
    "print(\"FN: \", cm[1][0])\n",
    "print(\"TP: \", cm[1][1])\n",
    "print(\"FP: \", cm[0][1])"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
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