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+{
+ "cells": [
+ {
+ "cell_type": "markdown",
+ "id": "ef87a7da",
+ "metadata": {},
+ "source": [
+ "# Welche Qualität hat der Rotwein?"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "993efe60",
+ "metadata": {},
+ "source": [
+ "# 1. Business Understanding\n",
+ "A winery wants to make sure it always produces high Quality and tasty wine.\n",
+ "They employ professional wine tasters to test all new batches of wine.\n",
+ "These Professionals then rate the wine on a scale from 1 to 10.\n",
+ "But this process is expensive and subjective.\n",
+ "The wine manufactory would like to use a machine learning model in order to generate predictions about quality.\n",
+ "The ultimate goal is to develop a model \n",
+ "that automatically categorizes new wine batches based on its chemical attributes.\n"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "e640f873",
+ "metadata": {},
+ "source": [
+ "# 2. Data and Data Understanding "
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "a034a799",
+ "metadata": {},
+ "source": [
+ "## 2.1. Import of Relevant Modules"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 1,
+ "id": "fb8c4c63",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "import pandas as pd\n",
+ "import numpy as np\n",
+ "import matplotlib.pyplot as plt\n",
+ "import seaborn as sns\n",
+ "import math\n",
+ "import pickle\n",
+ "\n",
+ "from sklearn.model_selection import train_test_split\n",
+ "from sklearn.preprocessing import StandardScaler\n",
+ "from sklearn import metrics\n",
+ "from sklearn.metrics import classification_report, confusion_matrix\n",
+ "from sklearn.linear_model import LinearRegression\n",
+ "from sklearn.linear_model import LogisticRegression\n",
+ "\n",
+ "import tensorflow as tf\n",
+ "from tensorflow.keras.models import Sequential\n",
+ "from tensorflow.keras.layers import Dense, Activation, Dropout\n",
+ "\n",
+ "%matplotlib inline"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "58aadfd1",
+ "metadata": {},
+ "source": [
+ "## 2.2. Read Data "
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 2,
+ "id": "00fe355e",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "data = pd.read_csv('https://storage.googleapis.com/ml-service-repository-datastorage/What_Quality_does_the_Red_wine_have_winequality.csv')\n",
+ "data.to_csv('data.csv', index=False)"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "eede0e5b",
+ "metadata": {},
+ "source": [
+ "## 2.3. Deskriptive Datenanalyse"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "e6259473",
+ "metadata": {},
+ "source": [
+ "### Data description\n",
+ "The dataset named \"Wine Quality Data Set\" has been extracted from the UCI website \n",
+ "and gives us real data for our wine manufactory. The data \n",
+ "were collected in 2009 and come from Northern Portugal. The data set has \n",
+ "entries for red and white wines. The dataset of the \n",
+ "red wines thus has 12 columns and 1600 entries. The columns are \n",
+ "named after the ingredients and the quality of a red wine in table 1. \n",
+ "\n",
+ "| Feature | Data Type|\n",
+ "|-----|------|\n",
+ "|fixed acidity | float64 |\n",
+ "|volatile acidity | float64 |\n",
+ "|citric acid | float64 |\n",
+ "|residual sugar | float64 |\n",
+ "|chlorides | float64 |\n",
+ "|free sulfur dioxide | float64 |\n",
+ "|total sulfur dioxide| float64 |\n",
+ "|density | float64 |\n",
+ "|pH | float64 |\n",
+ "|sulphates | float64 |\n",
+ "|alcohol | float64 |\n",
+ "|quality | int64 |\n",
+ "\n",
+ "A red wine consists of water, alcohol and extracts. The exact \n",
+ "mixture of these 3 essential ingredients can make a red wine a real \n",
+ "a true pleasure. In my opinion, a good red wine contains \n",
+ "a high alcohol and sugar content. Whether my opinion about a good wine is true \n",
+ "is true, we can take a closer look in the next chapter.\n"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 3,
+ "id": "6d19847a",
+ "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": [
+ "data.info()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 4,
+ "id": "03fbe31f",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "<div>\n",
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+ " vertical-align: middle;\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>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": 4,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "data.describe(include=\"all\")"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "9b6e5cfb",
+ "metadata": {},
+ "source": [
+ "The data set has 1599 entries. The columns 'free sulfur dioxide' and 'total sulfur dioxide' have very high maximum values. In addition, we see that our target variable has the smallest value of 3 and the largest value of 8. Here we must consider whether the target variable must be divided into good and bad."
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "c4b09285",
+ "metadata": {},
+ "source": [
+ "## 2.4 Data Cleaning"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 5,
+ "id": "6d6363c4",
+ "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": 5,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "data.isnull().sum()"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "9f00179f",
+ "metadata": {},
+ "source": [
+ "There are no Null values in the dataset"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 6,
+ "id": "587dd487",
+ "metadata": {},
+ "outputs": [
+ {
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+ " <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>0.700</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>0.99780</td>\n",
+ " <td>3.51</td>\n",
+ " <td>0.56</td>\n",
+ " <td>9.4</td>\n",
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+ " <td>0.700</td>\n",
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+ " <td>1.9</td>\n",
+ " <td>0.076</td>\n",
+ " <td>11.0</td>\n",
+ " <td>34.0</td>\n",
+ " <td>0.99780</td>\n",
+ " <td>3.51</td>\n",
+ " <td>0.56</td>\n",
+ " <td>9.4</td>\n",
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+ " <tr>\n",
+ " <th>9</th>\n",
+ " <td>7.5</td>\n",
+ " <td>0.500</td>\n",
+ " <td>0.36</td>\n",
+ " <td>6.1</td>\n",
+ " <td>0.071</td>\n",
+ " <td>17.0</td>\n",
+ " <td>102.0</td>\n",
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+ " <td>3.35</td>\n",
+ " <td>0.80</td>\n",
+ " <td>10.5</td>\n",
+ " <td>5</td>\n",
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+ " <th>11</th>\n",
+ " <td>7.5</td>\n",
+ " <td>0.500</td>\n",
+ " <td>0.36</td>\n",
+ " <td>6.1</td>\n",
+ " <td>0.071</td>\n",
+ " <td>17.0</td>\n",
+ " <td>102.0</td>\n",
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+ " <td>3.35</td>\n",
+ " <td>0.80</td>\n",
+ " <td>10.5</td>\n",
+ " <td>5</td>\n",
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+ " <th>22</th>\n",
+ " <td>7.9</td>\n",
+ " <td>0.430</td>\n",
+ " <td>0.21</td>\n",
+ " <td>1.6</td>\n",
+ " <td>0.106</td>\n",
+ " <td>10.0</td>\n",
+ " <td>37.0</td>\n",
+ " <td>0.99660</td>\n",
+ " <td>3.17</td>\n",
+ " <td>0.91</td>\n",
+ " <td>9.5</td>\n",
+ " <td>5</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>...</th>\n",
+ " <td>...</td>\n",
+ " <td>...</td>\n",
+ " <td>...</td>\n",
+ " <td>...</td>\n",
+ " <td>...</td>\n",
+ " <td>...</td>\n",
+ " <td>...</td>\n",
+ " <td>...</td>\n",
+ " <td>...</td>\n",
+ " <td>...</td>\n",
+ " <td>...</td>\n",
+ " <td>...</td>\n",
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+ " <tr>\n",
+ " <th>1567</th>\n",
+ " <td>7.2</td>\n",
+ " <td>0.695</td>\n",
+ " <td>0.13</td>\n",
+ " <td>2.0</td>\n",
+ " <td>0.076</td>\n",
+ " <td>12.0</td>\n",
+ " <td>20.0</td>\n",
+ " <td>0.99546</td>\n",
+ " <td>3.29</td>\n",
+ " <td>0.54</td>\n",
+ " <td>10.1</td>\n",
+ " <td>5</td>\n",
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+ " <th>1579</th>\n",
+ " <td>6.2</td>\n",
+ " <td>0.560</td>\n",
+ " <td>0.09</td>\n",
+ " <td>1.7</td>\n",
+ " <td>0.053</td>\n",
+ " <td>24.0</td>\n",
+ " <td>32.0</td>\n",
+ " <td>0.99402</td>\n",
+ " <td>3.54</td>\n",
+ " <td>0.60</td>\n",
+ " <td>11.3</td>\n",
+ " <td>5</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>1581</th>\n",
+ " <td>6.2</td>\n",
+ " <td>0.560</td>\n",
+ " <td>0.09</td>\n",
+ " <td>1.7</td>\n",
+ " <td>0.053</td>\n",
+ " <td>24.0</td>\n",
+ " <td>32.0</td>\n",
+ " <td>0.99402</td>\n",
+ " <td>3.54</td>\n",
+ " <td>0.60</td>\n",
+ " <td>11.3</td>\n",
+ " <td>5</td>\n",
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+ " <tr>\n",
+ " <th>1592</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",
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+ " <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",
+ " </tbody>\n",
+ "</table>\n",
+ "<p>460 rows × 12 columns</p>\n",
+ "</div>"
+ ],
+ "text/plain": [
+ " fixed acidity volatile acidity citric acid residual sugar chlorides \\\n",
+ "0 7.4 0.700 0.00 1.9 0.076 \n",
+ "4 7.4 0.700 0.00 1.9 0.076 \n",
+ "9 7.5 0.500 0.36 6.1 0.071 \n",
+ "11 7.5 0.500 0.36 6.1 0.071 \n",
+ "22 7.9 0.430 0.21 1.6 0.106 \n",
+ "... ... ... ... ... ... \n",
+ "1567 7.2 0.695 0.13 2.0 0.076 \n",
+ "1579 6.2 0.560 0.09 1.7 0.053 \n",
+ "1581 6.2 0.560 0.09 1.7 0.053 \n",
+ "1592 6.3 0.510 0.13 2.3 0.076 \n",
+ "1596 6.3 0.510 0.13 2.3 0.076 \n",
+ "\n",
+ " free sulfur dioxide total sulfur dioxide density pH sulphates \\\n",
+ "0 11.0 34.0 0.99780 3.51 0.56 \n",
+ "4 11.0 34.0 0.99780 3.51 0.56 \n",
+ "9 17.0 102.0 0.99780 3.35 0.80 \n",
+ "11 17.0 102.0 0.99780 3.35 0.80 \n",
+ "22 10.0 37.0 0.99660 3.17 0.91 \n",
+ "... ... ... ... ... ... \n",
+ "1567 12.0 20.0 0.99546 3.29 0.54 \n",
+ "1579 24.0 32.0 0.99402 3.54 0.60 \n",
+ "1581 24.0 32.0 0.99402 3.54 0.60 \n",
+ "1592 29.0 40.0 0.99574 3.42 0.75 \n",
+ "1596 29.0 40.0 0.99574 3.42 0.75 \n",
+ "\n",
+ " alcohol quality \n",
+ "0 9.4 5 \n",
+ "4 9.4 5 \n",
+ "9 10.5 5 \n",
+ "11 10.5 5 \n",
+ "22 9.5 5 \n",
+ "... ... ... \n",
+ "1567 10.1 5 \n",
+ "1579 11.3 5 \n",
+ "1581 11.3 5 \n",
+ "1592 11.0 6 \n",
+ "1596 11.0 6 \n",
+ "\n",
+ "[460 rows x 12 columns]"
+ ]
+ },
+ "execution_count": 6,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "data[data.duplicated(keep=False)]"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "e76ff765",
+ "metadata": {},
+ "source": [
+ "There are duplicates in the dataset. But in this case we don't want to remove these, as they are actually different wine batches, that just happen to have the same chemical characteristics and the same quality. It wouldn't be bad, if the model specializes on the more common wines"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 7,
+ "id": "04b43d46",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "data_clean = data"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 8,
+ "id": "0aaeb05a",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "<Axes: xlabel='quality', ylabel='count'>"
+ ]
+ },
+ "execution_count": 8,
+ "metadata": {},
+ "output_type": "execute_result"
+ },
+ {
+ "data": {
+ "image/png": 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",
+ "text/plain": [
+ "<Figure size 1200x800 with 1 Axes>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "# Analyse the target variable\n",
+ "plt.figure(figsize =(12, 8))\n",
+ "sns.countplot(x=\"quality\", data=data_clean )"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "6c777886",
+ "metadata": {},
+ "source": [
+ "# 3. Data Preparation "
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "4391dfbc",
+ "metadata": {},
+ "source": [
+ "## 3.1 Remove Outliers"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 9,
+ "id": "e0d61418",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "array([[<Axes: title={'center': 'fixed acidity'}>,\n",
+ " <Axes: title={'center': 'volatile acidity'}>,\n",
+ " <Axes: title={'center': 'citric acid'}>],\n",
+ " [<Axes: title={'center': 'residual sugar'}>,\n",
+ " <Axes: title={'center': 'chlorides'}>,\n",
+ " <Axes: title={'center': 'free sulfur dioxide'}>],\n",
+ " [<Axes: title={'center': 'total sulfur dioxide'}>,\n",
+ " <Axes: title={'center': 'density'}>,\n",
+ " <Axes: title={'center': 'pH'}>],\n",
+ " [<Axes: title={'center': 'sulphates'}>,\n",
+ " <Axes: title={'center': 'alcohol'}>,\n",
+ " <Axes: title={'center': 'quality'}>]], dtype=object)"
+ ]
+ },
+ "execution_count": 9,
+ "metadata": {},
+ "output_type": "execute_result"
+ },
+ {
+ "data": {
+ "image/png": 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+ "text/plain": [
+ "<Figure size 2000x2000 with 12 Axes>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "data_clean.hist(figsize=(20,20), bins= 60)"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "ae79f31a",
+ "metadata": {},
+ "source": [
+ "With the histograms of all columns, we can now see at a glance how their values are distributed. It is noticeable that some features do not show a normal distribution and therefore have outliers in their values."
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "1e8fa300",
+ "metadata": {},
+ "source": [
+ "Fixed Acidity"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 10,
+ "id": "9be704c6",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "<Axes: xlabel='fixed acidity', ylabel='Count'>"
+ ]
+ },
+ "execution_count": 10,
+ "metadata": {},
+ "output_type": "execute_result"
+ },
+ {
+ "data": {
+ "image/png": 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",
+ "text/plain": [
+ "<Figure size 640x480 with 1 Axes>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "sns.histplot(data_clean['fixed acidity'])"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "a7e4e175",
+ "metadata": {},
+ "source": [
+ "The graph looks normally distributed, which is why the values remain in the first step"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "dcb0309a",
+ "metadata": {},
+ "source": [
+ "Volatile Acidity"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 11,
+ "id": "7204aea7",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "<Axes: xlabel='volatile acidity', ylabel='Count'>"
+ ]
+ },
+ "execution_count": 11,
+ "metadata": {},
+ "output_type": "execute_result"
+ },
+ {
+ "data": {
+ "image/png": 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n3Xff1YIFC/TII49Udz0AAADVyqv37Jw/f15du3at7loAAACqnVdhZ8SIEVqyZEl11wIAAFDtvLqN9euvv+qf//yn1q1bpxtvvFGhoaFu+6dPn14txQEAAFSVV1d2vv32W3Xo0EF16tTR/v37tXfvXteSkZFR6eNs2bJFffr0UUJCgiwWi1asWOG23zAMTZo0SQkJCapfv7569uypAwcOuLVxOp165plnFBMTo4YNG6pv3746efKkN8MCAAAm5NWVnY0bN1bLDy8qKlL79u316KOP6oEHHiiz//XXX9f06dO1YMECtWrVSq+88op69eqlw4cPKzw8XJI0evRo/etf/9LSpUsVHR2tsWPH6p577tHu3btVt27daqkTAAAEL6/fs1Md0tLSlJaWVu4+wzA0Y8YMTZgwQf369ZMkffDBB4qLi9OSJUs0atQo2e12zZ07Vx9++KHuuOMOSdKiRYuUmJiodevW6c477yz32E6nU06n07XucDiqeWQAACBQeBV2UlJSLvtunQ0bNnhd0EVZWVnKzc1Vamqqa5vValWPHj20bds2jRo1Srt371ZxcbFbm4SEBLVt21bbtm2rMOxMmTJFkydPrnKNAAAg8HkVdjp06OC2XlxcrIyMDO3fv7/MB0K9lZubK0mKi4tz2x4XF6djx4652oSFhemqq64q0+Zi//Kkp6drzJgxrnWHw6HExMRqqRsAAAQWr8LOm2++We72SZMmqbCwsEoFXerSK0iGYVzxjc1XamO1WmW1WqulPgAAENi8ehqrIn/5y1+q7btY8fHxklTmCk1eXp7rak98fLzOnz+v06dPV9gGAADUbtUadrZv36569epVy7GaN2+u+Ph4rV271rXt/Pnz2rx5s+vtzZ06dVJoaKhbm5ycHO3fv583PAMAAEle3sa6+HTURYZhKCcnR7t27dJLL71U6eMUFhbqyJEjrvWsrCxlZGQoKipKTZs21ejRo/Xaa68pOTlZycnJeu2119SgQQM9/PDDkqTIyEgNHz5cY8eOVXR0tKKiojRu3Di1a9fO9XQWAACo3bwKO5GRkW7rderU0XXXXaeXX37Z7cmoK9m1a5dSUlJc6xcnDQ8ZMkQLFizQCy+8oHPnzunJJ5/U6dOndcstt2jNmjWud+xIv80fCgkJUf/+/XXu3DndfvvtWrBgAe/YAQAAkrwMO/Pnz6+WH96zZ08ZhlHhfovFokmTJmnSpEkVtqlXr55mzZqlWbNmVUtNAADAXKr0UsHdu3fr0KFDslgsat26tW666abqqgsAAKBaeBV28vLyNHDgQG3atEmNGzeWYRiy2+1KSUnR0qVLdfXVV1d3nQAAAF7x6mmsZ555Rg6HQwcOHNAvv/yi06dPa//+/XI4HHr22Weru0YAAACveXVl58svv9S6det0ww03uLa1bt1ab7/9tkcTlAEAAHzNqys7paWlCg0NLbM9NDRUpaWlVS4KAACgungVdm677TY999xz+vHHH13bfvjhB/31r3/V7bffXm3FAQAAVJVXt7Fmz56te++9V82aNVNiYqIsFouOHz+udu3aadGiRdVdIwAfys7O9qh9ZGSkYmNjfVMMAPiAV2EnMTFRe/bs0dq1a/W///u/MgxDrVu35q3FQBBxFtolSx2P59mFR0ToSGYmgQdA0PAo7GzYsEFPP/20duzYoYiICPXq1Uu9evWSJNntdrVp00bvvvuuunfv7pNiAVSfEudZyShVlyemKsrWrFJ9ivJztHnmaNntdsIOgKDhUdiZMWOGRo4cqYiIiDL7IiMjNWrUKE2fPp2wAwSRBlHxCo9L9HcZAOAzHoWdb775RlOnTq1wf2pqqv7zP/+zykUhcOXl5clut1e6vafzQQAAqG4ehZ2ffvqp3EfOXQcLCdHPP/9c5aIQmPLy8tQyOVkFDofHfUuKS3xQEQAAV+ZR2Lnmmmu0b98+tWzZstz93377rWw2W7UUhsBjt9tV4HCox3Mz1DC6cn/PPx/5VjsXvqqSUsIOAMA/PAo7vXv31j/+8Q+lpaWpXr16bvvOnTuniRMn6p577qnWAhF4GkbbKj3Hoyg/x8fVAABweR6Fnb///e/67LPP1KpVKz399NO67rrrZLFYdOjQIb399tu6cOGCJkyY4KtaAQAAPOZR2ImLi9O2bdv0xBNPKD09XYZhSJIsFovuvPNOzZkzR3FxcT4pFAAAwBsev1QwKSlJq1at0unTp3XkyBEZhqHk5GRdddVVvqgPAACgSrx6g7IkXXXVVfrDH/5QnbUAAABUO68+BAoAABAsCDsAAMDUCDsAAMDUCDsAAMDUCDsAAMDUCDsAAMDUCDsAAMDUCDsAAMDUCDsAAMDUCDsAAMDUCDsAAMDUCDsAAMDUCDsAAMDUCDsAAMDUCDsAAMDUCDsAAMDUCDsAAMDUCDsAAMDUAj7sNGvWTBaLpczy1FNPSZKGDh1aZl+XLl38XDUAAAgUIf4u4Ep27typCxcuuNb379+vXr166cEHH3Rtu+uuuzR//nzXelhYWI3WCAAAAlfAh52rr77abf0//uM/dO2116pHjx6ubVarVfHx8ZU+ptPplNPpdK07HI6qFwoAAAJSwN/G+r3z589r0aJFGjZsmCwWi2v7pk2bFBsbq1atWmnkyJHKy8u77HGmTJmiyMhI15KYmOjr0gEAgJ8EVdhZsWKFzpw5o6FDh7q2paWlafHixdqwYYOmTZumnTt36rbbbnO7cnOp9PR02e1213LixIkaqB4AAPhDwN/G+r25c+cqLS1NCQkJrm0DBgxw/blt27bq3LmzkpKStHLlSvXr16/c41itVlmtVp/XCwAA/C9ows6xY8e0bt06ffbZZ5dtZ7PZlJSUpMzMzBqqDAAABLKguY01f/58xcbG6u67775su/z8fJ04cUI2m62GKgMAAIEsKMJOaWmp5s+fryFDhigk5P8uRhUWFmrcuHHavn27srOztWnTJvXp00cxMTG6//77/VgxAAAIFEFxG2vdunU6fvy4hg0b5ra9bt262rdvnxYuXKgzZ87IZrMpJSVFy5YtU3h4uJ+qBQAAgSQowk5qaqoMwyizvX79+lq9erUfKgIAAMEiKG5jAQAAeIuwAwAATI2wAwAATI2wAwAATI2wAwAATI2wAwAATI2wAwAATI2wAwAATI2wAwAATI2wAwAATC0oPhcBILBkZ2d71D4yMlKxsbG+KQYAroCwA6DSnIV2yVJHqampHvULj4jQkcxMAg8AvyDsAKi0EudZyShVlyemKsrWrFJ9ivJztHnmaNntdsIOAL8g7ADwWIOoeIXHJfq7DACoFCYoAwAAUyPsAAAAUyPsAAAAUyPsAAAAUyPsAAAAU+NprFosLy9Pdru90u09fZEcAACBgLBTS+Xl5allcrIKHA6P+5YUl/igIgAAfIOwU0vZ7XYVOBzq8dwMNYy2VarPz0e+1c6Fr6qklLADAAgehJ1armG0rdIvhyvKz/FxNQAAVD8mKAMAAFMj7AAAAFMj7AAAAFMj7AAAAFMj7AAAAFMj7AAAAFMj7AAAAFMj7AAAAFMj7AAAAFMj7AAAAFMj7AAAAFMj7AAAAFML6LAzadIkWSwWtyU+Pt613zAMTZo0SQkJCapfv7569uypAwcO+LFiAAAQaAI67EhSmzZtlJOT41r27dvn2vf6669r+vTpmj17tnbu3Kn4+Hj16tVLBQUFfqwYAAAEkoAPOyEhIYqPj3ctV199taTfrurMmDFDEyZMUL9+/dS2bVt98MEHOnv2rJYsWeLnqgEAQKAI+LCTmZmphIQENW/eXAMHDtT3338vScrKylJubq5SU1Ndba1Wq3r06KFt27Zd9phOp1MOh8NtAQAA5hTQYeeWW27RwoULtXr1ar3//vvKzc1V165dlZ+fr9zcXElSXFycW5+4uDjXvopMmTJFkZGRriUxMdFnYwAAAP4V0GEnLS1NDzzwgNq1a6c77rhDK1eulCR98MEHrjYWi8Wtj2EYZbZdKj09XXa73bWcOHGi+osHAAABIaDDzqUaNmyodu3aKTMz0/VU1qVXcfLy8spc7bmU1WpVRESE2wIAAMwpqMKO0+nUoUOHZLPZ1Lx5c8XHx2vt2rWu/efPn9fmzZvVtWtXP1YJAAACSYi/C7iccePGqU+fPmratKny8vL0yiuvyOFwaMiQIbJYLBo9erRee+01JScnKzk5Wa+99poaNGighx9+2N+lAwCAABHQYefkyZN66KGHdOrUKV199dXq0qWLduzYoaSkJEnSCy+8oHPnzunJJ5/U6dOndcstt2jNmjUKDw/3c+UALpWdne1R+8jISMXGxvqmGAC1SkCHnaVLl152v8Vi0aRJkzRp0qSaKQiAx5yFdslSx+01EZURHhGhI5mZBB4AVRbQYQdA8CtxnpWMUnV5YqqibM0q1acoP0ebZ46W3W4n7ACoMsIOgBrRICpe4XG80wpAzQuqp7EAAAA8RdgBAACmRtgBAACmRtgBAACmRtgBAACmRtgBAACmRtgBAACmRtgBAACmRtgBAACmRtgBAACmRtgBAACmRtgBAACmRtgBAACmRtgBAACmRtgBAACmRtgBAACmRtgBAACmRtgBAACmRtgBAACmRtgBAACmRtgBAACmRtgBAACmRtgBAACmRtgBAACmRtgBAACmRtgBAACmRtgBAACmRtgBAACmFuLvAlA98vLyZLfbK90+Ozvbd8UAABBACDsmkJeXp5bJySpwODzuW1Jc4oOKgJrnaeCXpMjISMXGxvqoIgCBgrBjAna7XQUOh3o8N0MNo22V6vPzkW+1c+GrKikl7CD4eRv4wyMidCQzk8ADmBxhx0QaRtsUHpdYqbZF+Tk+rgaoOd4E/qL8HG2eOVp2u52wA5gcYQeAaXgS+AHUHjyNBQAATC2gw86UKVP0hz/8QeHh4YqNjdV9992nw4cPu7UZOnSoLBaL29KlSxc/VQwAAAJNQIedzZs366mnntKOHTu0du1alZSUKDU1VUVFRW7t7rrrLuXk5LiWVatW+aliAAAQaAJ6zs6XX37ptj5//nzFxsZq9+7d+tOf/uTabrVaFR8fX9PlAQCAIBDQV3YudfEdGlFRUW7bN23apNjYWLVq1UojR45UXl7eZY/jdDrlcDjcFgAAYE5BE3YMw9CYMWP0xz/+UW3btnVtT0tL0+LFi7VhwwZNmzZNO3fu1G233San01nhsaZMmaLIyEjXkpjI0xsAAJhVQN/G+r2nn35a3377rbZu3eq2fcCAAa4/t23bVp07d1ZSUpJWrlypfv36lXus9PR0jRkzxrXucDgIPAAAmFRQhJ1nnnlGn3/+ubZs2aImTZpctq3NZlNSUpIyMzMrbGO1WmW1Wqu7TAAAEIACOuwYhqFnnnlGy5cv16ZNm9S8efMr9snPz9eJEydks1XuLaoAAMDcAnrOzlNPPaVFixZpyZIlCg8PV25urnJzc3Xu3DlJUmFhocaNG6ft27crOztbmzZtUp8+fRQTE6P777/fz9UDAIBAENBXdt555x1JUs+ePd22z58/X0OHDlXdunW1b98+LVy4UGfOnJHNZlNKSoqWLVum8PBwP1QMAAACTUCHHcMwLru/fv36Wr16dQ1VAwAAglFA38YCAACoqoC+sgMAvpadne1R+8jISMXGxvqmGAA+QdgBUCs5C+2SpY5SU1M96hceEaEjmZkEHiCIEHYABKzKXnXx9OqMJJU4z0pGqbo8MVVRtmaV6lOUn6PNM0fLbrcTdoAgQtgBEHC8vepSUlzi8c9qEBWv8DjeoA6YGWEHQMDx9KrLz0e+1c6Fr6qk1POwA8D8CDsAAlZlr7oU5efUQDUAghWPngMAAFMj7AAAAFMj7AAAAFMj7AAAAFNjgnIAysvLk91ur3R7b94xAgBAbUHYCTB5eXlqmZysAofD477evGMEAACzI+wEGLvdrgKHQz2em6GG0bZK9eEdIwAAVIywE6AaRtsq/VZX3jECAEDFmKAMAABMjbADAABMjbADAABMjTk7AOBjnr5OQpLOnz+vsLAwj/pERkYqNjbWoz5AbUDYAQAf8vp1EnXqSKWlHnUJj4jQkcxMAg9wCcIOAPhQVV4n0eWJqYqyNatUn6L8HG2eOVp2u52wA1yCsAMANcCb10k0iIqvdB8AFWOCMgAAMDXCDgAAMDVuYwGAhzz5+C4f6gX8j7ADAJXkLLRLljpKTU31uC8f6gX8h7ADAJVU4jwrGaUePSXFh3oB/yPsAICHPHlKig/1Av7HBGUAAGBqXNnxMU9fE89kRgAAqhdhx4e8fk28mMwIAEB1Iez4UFVeE89kRgDe8PTqMB8PRW1A2KkB3rwmHgA84e1j8Xw8FLUBYQcATMCbx+L5eChqC8IOAJgIHw8FyiLsAEAtVxPzfDx9MjWQ5xJ5OhYpsMdTG5gm7MyZM0dvvPGGcnJy1KZNG82YMUPdu3f3d1kAELBqap6PN0+mBupcIm+fsg3U8dQWpgg7y5Yt0+jRozVnzhx169ZN7733ntLS0nTw4EE1bdrU3+UBQECqyjyfb775Rs2aVa5Pdna2R0+mevMzpJq5euLNU7ZmmxsVjFe2TBF2pk+fruHDh2vEiBGSpBkzZmj16tV65513NGXKFD9XBwCBzZN5PlX5GKo14upK/ZxgeLLMk6dszSRYr2wFfdg5f/68du/erfHjx7ttT01N1bZt28rt43Q65XQ6XesXE6rDi5f/XU5hYeFvx/8xS8W/nq1Un4KfTv5WS2626hql9AmgPoFaF30Cty4z9jl9/DvJKFXbfk8pPKZyVzbOnMjUoX9/oF9+PCLjwnmf/Ixfz5zS3v83Q9u2bVNSUlKl+njj2LFjkjw7r5/95SdJ0oEDB1z/LgSrY8eOqcDh0E39R6te45hK9bn4d/PDDz+oXr161VrPxX+3DcO4fEMjyP3www+GJOPrr7922/7qq68arVq1KrfPxIkTDUksLCwsLCwsJlhOnDhx2awQ9Fd2LrJYLG7rhmGU2XZRenq6xowZ41ovLS3VL7/8oujo6Ar7BCqHw6HExESdOHFCERER/i6nxjDu2jPu2jhmiXEz7tqhquM2DEMFBQVKSEi4bLugDzsxMTGqW7eucnNz3bbn5eUpLi6u3D5Wq1VWq9VtW+PGjX1VYo2IiIioVf+BXMS4a4/aOGaJcdc2jNtzkZGRV2xTx6sjB5CwsDB16tRJa9euddu+du1ade3a1U9VAQCAQBH0V3YkacyYMXrkkUfUuXNn3XrrrfrnP/+p48eP6/HHH/d3aQAAwM9MEXYGDBig/Px8vfzyy8rJyVHbtm21atUqn87IDxRWq1UTJ04sc1vO7Bh37Rl3bRyzxLgZd+1QU+O2GMaVntcCAAAIXkE/ZwcAAOByCDsAAMDUCDsAAMDUCDsAAMDUCDtBYM6cOWrevLnq1aunTp066auvvqqw7WeffaZevXrp6quvVkREhG699VatXr26BqutPp6M+/e+/vprhYSEqEOHDr4t0Ec8HbfT6dSECROUlJQkq9Wqa6+9VvPmzauhaquHp2NevHix2rdvrwYNGshms+nRRx9Vfn5+DVVbPbZs2aI+ffooISFBFotFK1asuGKfzZs3q1OnTqpXr55atGihd9991/eFViNPx2yW85k3f9cXBfP5zJtx++p8RtgJcMuWLdPo0aM1YcIE7d27V927d1daWpqOHz9ebvstW7aoV69eWrVqlXbv3q2UlBT16dNHe/fureHKq8bTcV9kt9s1ePBg3X777TVUafXyZtz9+/fX+vXrNXfuXB0+fFgfffSRrr/++hqsumo8HfPWrVs1ePBgDR8+XAcOHNDHH3+snTt3asSIETVcedUUFRWpffv2mj17dqXaZ2VlqXfv3urevbv27t2rv/3tb3r22Wf16aef+rjS6uPpmM1yPvN03BcF+/nMm3H77HxWLV/jhM/cfPPNxuOPP+627frrrzfGjx9f6WO0bt3amDx5cnWX5lPejnvAgAHG3//+d2PixIlG+/btfVihb3g67n//+99GZGSkkZ+fXxPl+YSnY37jjTeMFi1auG176623jCZNmvisRl+TZCxfvvyybV544QXj+uuvd9s2atQoo0uXLj6szHcqM+byBOP57Pc8GXewn89+rzLj9uX5jCs7Aez8+fPavXu3UlNT3banpqZq27ZtlTpGaWmpCgoKFBUV5YsSfcLbcc+fP19Hjx7VxIkTfV2iT3gz7s8//1ydO3fW66+/rmuuuUatWrXSuHHjdO7cuZooucq8GXPXrl118uRJrVq1SoZh6KefftInn3yiu+++uyZK9pvt27eX+T3deeed2rVrl4qLi/1UVc0KxvOZt4L9fOYNX57PTPEGZbM6deqULly4UOaDpnFxcWU+fFqRadOmqaioSP379/dFiT7hzbgzMzM1fvx4ffXVVwoJCc7/WXsz7u+//15bt25VvXr1tHz5cp06dUpPPvmkfvnll6CYt+PNmLt27arFixdrwIAB+vXXX1VSUqK+fftq1qxZNVGy3+Tm5pb7eyopKdGpU6dks9n8VFnNCcbzmTfMcD7zhi/PZ1zZCQIWi8Vt3TCMMtvK89FHH2nSpElatmyZYmNjfVWez1R23BcuXNDDDz+syZMnq1WrVjVVns948vddWloqi8WixYsX6+abb1bv3r01ffp0LViwIGiu7kiejfngwYN69tln9Y9//EO7d+/Wl19+qaysrFrxLbzyfk/lbTejYD+fVZbZzmee8OX5rPZExiAUExOjunXrlvl/uHl5eWX+H96lli1bpuHDh+vjjz/WHXfc4csyq52n4y4oKNCuXbu0d+9ePf3005J++4/GMAyFhIRozZo1uu2222qk9qrw5u/bZrPpmmuuUWRkpGvbDTfcIMMwdPLkSSUnJ/u05qryZsxTpkxRt27d9Pzzz0uSbrzxRjVs2FDdu3fXK6+8YtorHPHx8eX+nkJCQhQdHe2nqmpGMJ/PPGWW85k3fHk+48pOAAsLC1OnTp20du1at+1r165V165dK+z30UcfaejQoVqyZElQzmPwdNwRERHat2+fMjIyXMvjjz+u6667ThkZGbrllltqqvQq8ebvu1u3bvrxxx9VWFjo2vbdd9+pTp06atKkiU/rrQ7ejPns2bOqU8f91FW3bl1J/3elw4xuvfXWMr+nNWvWqHPnzgoNDfVTVb4X7OczT5nlfOYNn57Pqn3KM6rV0qVLjdDQUGPu3LnGwYMHjdGjRxsNGzY0srOzDcMwjPHjxxuPPPKIq/2SJUuMkJAQ4+233zZycnJcy5kzZ/w1BK94Ou5LBevTC56Ou6CgwGjSpInx5z//2Thw4ICxefNmIzk52RgxYoS/huAxT8c8f/58IyQkxJgzZ45x9OhRY+vWrUbnzp2Nm2++2V9D8EpBQYGxd+9eY+/evYYkY/r06cbevXuNY8eOGYZRdtzff/+90aBBA+Ovf/2rcfDgQWPu3LlGaGio8cknn/hrCB7zdMxmOZ95Ou5LBev5zNNx+/J8RtgJAm+//baRlJRkhIWFGR07djQ2b97s2jdkyBCjR48ervUePXoYksosQ4YMqfnCq8iTcV8qWE8OhuH5uA8dOmTccccdRv369Y0mTZoYY8aMMc6ePVvDVVeNp2N+6623jNatWxv169c3bDabMWjQIOPkyZM1XHXVbNy48bL/rZY37k2bNhk33XSTERYWZjRr1sx45513ar7wKvB0zGY5n3nzd/17wXo+82bcvjqfWQzDxNd9AQBArcecHQAAYGqEHQAAYGqEHQAAYGqEHQAAYGqEHQAAYGqEHQAAYGqEHQAAYGqEHQAAYGqEHQA+ZbFYtGLFimo9TnZ2tiwWizIyMqp8XG9VpoZNmzbJYrHozJkzkqQFCxaocePGNVIfgP9D2AEQUCZNmqQOHTqU2Z6Tk6O0tLSaL6gCiYmJysnJUdu2bSvdZ8CAAfruu+9c6xWNFUD1CvF3AQBQGfHx8f4uwU3dunU9rql+/fqqX7++jyoCUBGu7AAo13vvvadrrrlGpaWlbtv79u2rIUOGuNbfeecdXXvttQoLC9N1112nDz/88LLHffHFF9WqVSs1aNBALVq00EsvvaTi4mJJv93mmTx5sr755htZLBZZLBYtWLBA0pVvhx08eFC9e/dWo0aNFBcXp0ceeUSnTp2qsH1+fr4eeughNWnSRA0aNFC7du300UcfubUpLS3V1KlT1bJlS1mtVjVt2lSvvvqqpPJvY61atUqtWrVS/fr1lZKSouzsbLfj/f42VkVjHTZsmO655x63fiUlJYqPj9e8efMu85sFUBHCDoByPfjggzp16pQ2btzo2nb69GmtXr1agwYNkiQtX75czz33nMaOHav9+/dr1KhRevTRR936XCo8PFwLFizQwYMHNXPmTL3//vt68803Jf12m2fs2LFq06aNcnJylJOTowEDBlyx1pycHPXo0UMdOnTQrl279OWXX+qnn35S//79K+zz66+/qlOnTvriiy+0f/9+PfbYY3rkkUf03//936426enpmjp1ql566SUdPHhQS5YsUVxcXLnHO3HihPr166fevXsrIyNDI0aM0Pjx4yv8+RWNdcSIEfryyy+Vk5Pjartq1SoVFhZedjwALqPK300HYFp9+/Y1hg0b5lp/7733jPj4eKOkpMQwDMPo2rWrMXLkSLc+Dz74oNG7d2/XuiRj+fLlFf6M119/3ejUqZNrfeLEiUb79u3LtPv9cbKysgxJxt69ew3DMIyXXnrJSE1NdWt/4sQJQ5Jx+PDhygzVMAzD6N27tzF27FjDMAzD4XAYVqvVeP/998tte2kN6enpxg033GCUlpa62rz44ouGJOP06dOGYRjG/PnzjcjIyCuOtXXr1sbUqVNd6/fdd58xdOjQSo8DgDuu7ACo0KBBg/Tpp5/K6XRKkhYvXqyBAweqbt26kqRDhw6pW7dubn26deumQ4cOVXjMTz75RH/84x8VHx+vRo0a6aWXXtLx48erVOfu3bu1ceNGNWrUyLVcf/31kqSjR4+W2+fChQt69dVXdeONNyo6OlqNGjXSmjVrXLUcOnRITqdTt99+e6VqOHTokLp06SKLxeLaduutt3o1nhEjRmj+/PmSpLy8PK1cuVLDhg3z6lgAuI0F4DL69Omj0tJSrVy5UidOnNBXX32lv/zlL25tfv+PuyQZhlFm20U7duzQwIEDlZaWpi+++EJ79+7VhAkTdP78+SrVWVpaqj59+igjI8NtyczM1J/+9Kdy+0ybNk1vvvmmXnjhBW3YsEEZGRm68847XbV4OpHYMIwqjeH3Bg8erO+//17bt2/XokWL1KxZM3Xv3r3ajg/UNjyNBaBC9evXV79+/bR48WIdOXJErVq1UqdOnVz7b7jhBm3dulWDBw92bdu2bZtuuOGGco/39ddfKykpSRMmTHBtO3bsmFubsLAwXbhwwaM6O3bsqE8//VTNmjVTSEjlTmtfffWV7r33Xld4Ky0tVWZmpqv25ORk1a9fX+vXr9eIESOueLzWrVuXmUC9Y8eOy/apaKzR0dG67777NH/+fG3fvl2PPvpopcYEoHxc2QFwWYMGDdLKlSs1b968Mld1nn/+eS1YsEDvvvuuMjMzNX36dH322WcaN25cucdq2bKljh8/rqVLl+ro0aN66623tHz5crc2zZo1U1ZWljIyMnTq1CnXLbTLeeqpp/TLL7/ooYce0v/8z//o+++/15o1azRs2LAKg1PLli21du1abdu2TYcOHdKoUaOUm5vr2l+vXj29+OKLeuGFF7Rw4UIdPXpUO3bs0Ny5c8s93uOPP66jR49qzJgxOnz4sJYsWeJ6kqwilxvriBEj9MEHH+jQoUNuT78B8IK/Jw0BCGwlJSWGzWYzJBlHjx4ts3/OnDlGixYtjNDQUKNVq1bGwoUL3fbrkgnKzz//vBEdHW00atTIGDBggPHmm2+6Tdr99ddfjQceeMBo3LixIcmYP39+meNcOjnYMAzju+++M+6//36jcePGRv369Y3rr7/eGD16tNuE4d/Lz8837r33XqNRo0ZGbGys8fe//90YPHiwce+997raXLhwwXjllVeMpKQkIzQ01GjatKnx2muvVVjDv/71L6Nly5aG1Wo1unfvbsybN++yE5QrGqthGEZpaamRlJTkNtkbgHcshlGNN5oBANXi7NmzSkhI0Lx589SvXz9/lwMENebsAEAAKS0tVW5urqZNm6bIyEj17dvX3yUBQY+wAwAB5Pjx42revLmaNGmiBQsWVHrCNYCKcRsLAACYGk9jAQAAUyPsAAAAUyPsAAAAUyPsAAAAUyPsAAAAUyPsAAAAUyPsAAAAUyPsAAAAU/v/GFXsxGic8CgAAAAASUVORK5CYII=",
+ "text/plain": [
+ "<Figure size 640x480 with 1 Axes>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "sns.histplot(data_clean['volatile acidity'])"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 12,
+ "id": "cc316430",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "1.02"
+ ]
+ },
+ "execution_count": 12,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "q1 = data_clean['volatile acidity'].quantile(0.99)\n",
+ "q1"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 13,
+ "id": "f8bff647",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "<Axes: xlabel='volatile acidity', ylabel='Count'>"
+ ]
+ },
+ "execution_count": 13,
+ "metadata": {},
+ "output_type": "execute_result"
+ },
+ {
+ "data": {
+ "image/png": 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",
+ "text/plain": [
+ "<Figure size 640x480 with 1 Axes>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "data1 = data_clean[data_clean['volatile acidity']<q1]\n",
+ "sns.histplot(data1['volatile acidity'])"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "ab2580d6",
+ "metadata": {},
+ "source": [
+ "Citric Acid"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 14,
+ "id": "f549f9f5",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "<Axes: xlabel='citric acid', ylabel='Count'>"
+ ]
+ },
+ "execution_count": 14,
+ "metadata": {},
+ "output_type": "execute_result"
+ },
+ {
+ "data": {
+ "image/png": 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",
+ "text/plain": [
+ "<Figure size 640x480 with 1 Axes>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "sns.histplot(data1['citric acid'])"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "1acd4a68",
+ "metadata": {},
+ "source": [
+ "Residual Sugar"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 15,
+ "id": "513dbe68",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "<Axes: xlabel='residual sugar', ylabel='Count'>"
+ ]
+ },
+ "execution_count": 15,
+ "metadata": {},
+ "output_type": "execute_result"
+ },
+ {
+ "data": {
+ "image/png": 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",
+ "text/plain": [
+ "<Figure size 640x480 with 1 Axes>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "sns.histplot(data1['residual sugar'])"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 16,
+ "id": "7af3d5f1",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "<Axes: xlabel='quality', ylabel='residual sugar'>"
+ ]
+ },
+ "execution_count": 16,
+ "metadata": {},
+ "output_type": "execute_result"
+ },
+ {
+ "data": {
+ "image/png": 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",
+ "text/plain": [
+ "<Figure size 1200x700 with 1 Axes>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "plt.figure(figsize=(12, 7))\n",
+ "sns.boxplot(x='quality',y='residual sugar', data=data1,palette='winter')"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "d8b86d4e",
+ "metadata": {},
+ "source": [
+ "Residual Sugar shows a lot of outliers in relation to the target variable. A part of the outliers is now removed to create a more accurate data picture."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 17,
+ "id": "eebed00d",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "8.363000000000012"
+ ]
+ },
+ "execution_count": 17,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "q2 = data1['residual sugar'].quantile(0.99)\n",
+ "q2"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 18,
+ "id": "bc68b56b",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "<Axes: xlabel='residual sugar', ylabel='Count'>"
+ ]
+ },
+ "execution_count": 18,
+ "metadata": {},
+ "output_type": "execute_result"
+ },
+ {
+ "data": {
+ "image/png": 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",
+ "text/plain": [
+ "<Figure size 640x480 with 1 Axes>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "data2= data1[data1['residual sugar']<q2]\n",
+ "sns.histplot(data2['residual sugar'])"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 19,
+ "id": "87ade27f",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "<Axes: xlabel='quality', ylabel='residual sugar'>"
+ ]
+ },
+ "execution_count": 19,
+ "metadata": {},
+ "output_type": "execute_result"
+ },
+ {
+ "data": {
+ "image/png": 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",
+ "text/plain": [
+ "<Figure size 1200x700 with 1 Axes>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "plt.figure(figsize=(12, 7))\n",
+ "sns.boxplot(x='quality',y='residual sugar', data=data2,palette='winter')"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "e4eeec81",
+ "metadata": {},
+ "source": [
+ "There are still outliers to be seen, however these can still be changed after a first run of the model"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "5e6ccfe5",
+ "metadata": {},
+ "source": [
+ "Chlorides\n"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 20,
+ "id": "fb248bff",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "<Axes: xlabel='chlorides', ylabel='Count'>"
+ ]
+ },
+ "execution_count": 20,
+ "metadata": {},
+ "output_type": "execute_result"
+ },
+ {
+ "data": {
+ "image/png": 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",
+ "text/plain": [
+ "<Figure size 640x480 with 1 Axes>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "sns.histplot(data2['chlorides'])"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 21,
+ "id": "00dbd513",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "0.226"
+ ]
+ },
+ "execution_count": 21,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "q3 = data2['chlorides'].quantile(0.98)\n",
+ "q3"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 22,
+ "id": "85b89af6",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "<Axes: xlabel='chlorides', ylabel='Count'>"
+ ]
+ },
+ "execution_count": 22,
+ "metadata": {},
+ "output_type": "execute_result"
+ },
+ {
+ "data": {
+ "image/png": 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",
+ "text/plain": [
+ "<Figure size 640x480 with 1 Axes>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "data3= data2[data2['chlorides']<q3]\n",
+ "sns.histplot(data3['chlorides'])"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "ca65388c",
+ "metadata": {},
+ "source": [
+ "Free Sulfur Dioxide"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 23,
+ "id": "df352bbf",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "<Axes: xlabel='free sulfur dioxide', ylabel='Count'>"
+ ]
+ },
+ "execution_count": 23,
+ "metadata": {},
+ "output_type": "execute_result"
+ },
+ {
+ "data": {
+ "image/png": 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",
+ "text/plain": [
+ "<Figure size 640x480 with 1 Axes>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "sns.histplot(data3['free sulfur dioxide'])"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 24,
+ "id": "21ab7cdd",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "<Axes: xlabel='quality', ylabel='free sulfur dioxide'>"
+ ]
+ },
+ "execution_count": 24,
+ "metadata": {},
+ "output_type": "execute_result"
+ },
+ {
+ "data": {
+ "image/png": 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",
+ "text/plain": [
+ "<Figure size 1200x700 with 1 Axes>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "plt.figure(figsize=(12, 7))\n",
+ "sns.boxplot(x='quality',y='free sulfur dioxide', data=data3,palette='winter')"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 25,
+ "id": "045b25ee",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "47.700000000000045"
+ ]
+ },
+ "execution_count": 25,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "q4 = data3['free sulfur dioxide'].quantile(0.99)\n",
+ "q4"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 26,
+ "id": "f00f9bf6",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "<Axes: xlabel='free sulfur dioxide', ylabel='Count'>"
+ ]
+ },
+ "execution_count": 26,
+ "metadata": {},
+ "output_type": "execute_result"
+ },
+ {
+ "data": {
+ "image/png": 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",
+ "text/plain": [
+ "<Figure size 640x480 with 1 Axes>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "data4= data3[data3['free sulfur dioxide']<q4]\n",
+ "sns.histplot(data4['free sulfur dioxide'])"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 27,
+ "id": "9a001205",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "<Axes: xlabel='quality', ylabel='free sulfur dioxide'>"
+ ]
+ },
+ "execution_count": 27,
+ "metadata": {},
+ "output_type": "execute_result"
+ },
+ {
+ "data": {
+ "image/png": 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",
+ "text/plain": [
+ "<Figure size 1200x700 with 1 Axes>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "plt.figure(figsize=(12, 7))\n",
+ "sns.boxplot(x='quality',y='free sulfur dioxide', data=data4,palette='winter')"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "08d1479a",
+ "metadata": {},
+ "source": [
+ "Zuvor erkannte Ausreißer der Spalte 'free sulfur dioxide' entfernt und ein ausgeglichenes Bild zu unserer Zielvariablen geschaffen"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "a12ce84d",
+ "metadata": {},
+ "source": [
+ "Total Sulfur Dioxide"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 28,
+ "id": "338b6ab6",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "<Axes: xlabel='total sulfur dioxide', ylabel='Count'>"
+ ]
+ },
+ "execution_count": 28,
+ "metadata": {},
+ "output_type": "execute_result"
+ },
+ {
+ "data": {
+ "image/png": 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",
+ "text/plain": [
+ "<Figure size 640x480 with 1 Axes>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "sns.histplot(data4['total sulfur dioxide'])"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 29,
+ "id": "f85387f7",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "<Axes: xlabel='quality', ylabel='total sulfur dioxide'>"
+ ]
+ },
+ "execution_count": 29,
+ "metadata": {},
+ "output_type": "execute_result"
+ },
+ {
+ "data": {
+ "image/png": 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",
+ "text/plain": [
+ "<Figure size 1200x700 with 1 Axes>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "plt.figure(figsize=(12, 7))\n",
+ "sns.boxplot(x='quality',y='total sulfur dioxide', data=data4,palette='winter')"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 30,
+ "id": "08a93007",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "143.8599999999999"
+ ]
+ },
+ "execution_count": 30,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "q5 = data4['total sulfur dioxide'].quantile(0.99)\n",
+ "q5"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 31,
+ "id": "e420a25f",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "<Axes: xlabel='total sulfur dioxide', ylabel='Count'>"
+ ]
+ },
+ "execution_count": 31,
+ "metadata": {},
+ "output_type": "execute_result"
+ },
+ {
+ "data": {
+ "image/png": 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",
+ "text/plain": [
+ "<Figure size 640x480 with 1 Axes>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "data5 = data4[data4['total sulfur dioxide']<q5]\n",
+ "sns.histplot(data5['total sulfur dioxide'])"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "621c7ebc",
+ "metadata": {},
+ "source": [
+ "Sulphates"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 32,
+ "id": "1eaf15f8",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "<Axes: xlabel='sulphates', ylabel='Count'>"
+ ]
+ },
+ "execution_count": 32,
+ "metadata": {},
+ "output_type": "execute_result"
+ },
+ {
+ "data": {
+ "image/png": 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",
+ "text/plain": [
+ "<Figure size 640x480 with 1 Axes>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "sns.histplot(data5['sulphates'])"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 33,
+ "id": "9c6626e0",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "1.1601999999999997"
+ ]
+ },
+ "execution_count": 33,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "q6 = data5['sulphates'].quantile(0.99)\n",
+ "q6"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 34,
+ "id": "2a9e55ce",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "<Axes: xlabel='sulphates', ylabel='Count'>"
+ ]
+ },
+ "execution_count": 34,
+ "metadata": {},
+ "output_type": "execute_result"
+ },
+ {
+ "data": {
+ "image/png": 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",
+ "text/plain": [
+ "<Figure size 640x480 with 1 Axes>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "data6 = data5[data5['sulphates']<q6]\n",
+ "sns.histplot(data6['sulphates'])"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 35,
+ "id": "500e108c",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "<Axes: xlabel='alcohol', ylabel='Count'>"
+ ]
+ },
+ "execution_count": 35,
+ "metadata": {},
+ "output_type": "execute_result"
+ },
+ {
+ "data": {
+ "image/png": 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",
+ "text/plain": [
+ "<Figure size 640x480 with 1 Axes>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "sns.histplot(data6['alcohol'])"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 36,
+ "id": "e4055951",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "<Axes: xlabel='quality', ylabel='alcohol'>"
+ ]
+ },
+ "execution_count": 36,
+ "metadata": {},
+ "output_type": "execute_result"
+ },
+ {
+ "data": {
+ "image/png": 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",
+ "text/plain": [
+ "<Figure size 1200x700 with 1 Axes>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "plt.figure(figsize=(12, 7))\n",
+ "sns.boxplot(x='quality',y='alcohol', data=data6,palette='winter')"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "3a9ee371",
+ "metadata": {},
+ "source": [
+ "the greater the alcohol content in the wine, the better the wine is rated by the professionals"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "c911e5ef",
+ "metadata": {},
+ "source": [
+ "All features were cleaned up in the first step and can now be used for the model. \n",
+ "he target variable Quality will be split into good 1 and bad 0.\n",
+ "This changes the Problem from a Regression task to a (binary) categorization task"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "f14ccd52",
+ "metadata": {},
+ "source": [
+ "## Transform the Targetvariable 'Quality' to binary Classification"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 37,
+ "id": "aaa80908",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "def quality_range(quality):\n",
+ " if quality <= 5:\n",
+ " return 0\n",
+ " elif quality >=6:\n",
+ " return 1"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 38,
+ "id": "75bb9089",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# make a (deep) copy, to make sure pandas doesn't complain and makes the correct thing\n",
+ "# see https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
+ "data6 = data6.copy()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 39,
+ "id": "d469f222",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "data6['quality_range'] = data6['quality'].apply(quality_range)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 40,
+ "id": "0f031851",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "<div>\n",
+ "<style scoped>\n",
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+ " vertical-align: middle;\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",
+ " <th>quality_range</th>\n",
+ " </tr>\n",
+ " </thead>\n",
+ " <tbody>\n",
+ " <tr>\n",
+ " <th>count</th>\n",
+ " <td>1484.000000</td>\n",
+ " <td>1484.000000</td>\n",
+ " <td>1484.000000</td>\n",
+ " <td>1484.000000</td>\n",
+ " <td>1484.000000</td>\n",
+ " <td>1484.000000</td>\n",
+ " <td>1484.000000</td>\n",
+ " <td>1484.000000</td>\n",
+ " <td>1484.000000</td>\n",
+ " <td>1484.000000</td>\n",
+ " <td>1484.000000</td>\n",
+ " <td>1484.000000</td>\n",
+ " <td>1484.000000</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>mean</th>\n",
+ " <td>8.331267</td>\n",
+ " <td>0.520044</td>\n",
+ " <td>0.266961</td>\n",
+ " <td>2.427763</td>\n",
+ " <td>0.081051</td>\n",
+ " <td>15.176550</td>\n",
+ " <td>43.828841</td>\n",
+ " <td>0.996705</td>\n",
+ " <td>3.316846</td>\n",
+ " <td>0.643652</td>\n",
+ " <td>10.455492</td>\n",
+ " <td>5.661725</td>\n",
+ " <td>0.546496</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>std</th>\n",
+ " <td>1.761040</td>\n",
+ " <td>0.165732</td>\n",
+ " <td>0.192996</td>\n",
+ " <td>0.975109</td>\n",
+ " <td>0.020813</td>\n",
+ " <td>9.343802</td>\n",
+ " <td>29.133109</td>\n",
+ " <td>0.001854</td>\n",
+ " <td>0.149700</td>\n",
+ " <td>0.129927</td>\n",
+ " <td>1.071880</td>\n",
+ " <td>0.800449</td>\n",
+ " <td>0.498001</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>2.860000</td>\n",
+ " <td>0.330000</td>\n",
+ " <td>8.400000</td>\n",
+ " <td>3.000000</td>\n",
+ " <td>0.000000</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>21.000000</td>\n",
+ " <td>0.995570</td>\n",
+ " <td>3.220000</td>\n",
+ " <td>0.550000</td>\n",
+ " <td>9.500000</td>\n",
+ " <td>5.000000</td>\n",
+ " <td>0.000000</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>50%</th>\n",
+ " <td>7.900000</td>\n",
+ " <td>0.520000</td>\n",
+ " <td>0.250000</td>\n",
+ " <td>2.200000</td>\n",
+ " <td>0.079000</td>\n",
+ " <td>13.000000</td>\n",
+ " <td>37.000000</td>\n",
+ " <td>0.996700</td>\n",
+ " <td>3.315000</td>\n",
+ " <td>0.620000</td>\n",
+ " <td>10.200000</td>\n",
+ " <td>6.000000</td>\n",
+ " <td>1.000000</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>75%</th>\n",
+ " <td>9.225000</td>\n",
+ " <td>0.630000</td>\n",
+ " <td>0.420000</td>\n",
+ " <td>2.600000</td>\n",
+ " <td>0.089000</td>\n",
+ " <td>21.000000</td>\n",
+ " <td>59.000000</td>\n",
+ " <td>0.997800</td>\n",
+ " <td>3.400000</td>\n",
+ " <td>0.720000</td>\n",
+ " <td>11.100000</td>\n",
+ " <td>6.000000</td>\n",
+ " <td>1.000000</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>max</th>\n",
+ " <td>15.900000</td>\n",
+ " <td>1.010000</td>\n",
+ " <td>0.790000</td>\n",
+ " <td>8.300000</td>\n",
+ " <td>0.222000</td>\n",
+ " <td>47.000000</td>\n",
+ " <td>143.000000</td>\n",
+ " <td>1.003200</td>\n",
+ " <td>4.010000</td>\n",
+ " <td>1.160000</td>\n",
+ " <td>14.900000</td>\n",
+ " <td>8.000000</td>\n",
+ " <td>1.000000</td>\n",
+ " </tr>\n",
+ " </tbody>\n",
+ "</table>\n",
+ "</div>"
+ ],
+ "text/plain": [
+ " fixed acidity volatile acidity citric acid residual sugar \\\n",
+ "count 1484.000000 1484.000000 1484.000000 1484.000000 \n",
+ "mean 8.331267 0.520044 0.266961 2.427763 \n",
+ "std 1.761040 0.165732 0.192996 0.975109 \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 0.250000 2.200000 \n",
+ "75% 9.225000 0.630000 0.420000 2.600000 \n",
+ "max 15.900000 1.010000 0.790000 8.300000 \n",
+ "\n",
+ " chlorides free sulfur dioxide total sulfur dioxide density \\\n",
+ "count 1484.000000 1484.000000 1484.000000 1484.000000 \n",
+ "mean 0.081051 15.176550 43.828841 0.996705 \n",
+ "std 0.020813 9.343802 29.133109 0.001854 \n",
+ "min 0.012000 1.000000 6.000000 0.990070 \n",
+ "25% 0.070000 7.000000 21.000000 0.995570 \n",
+ "50% 0.079000 13.000000 37.000000 0.996700 \n",
+ "75% 0.089000 21.000000 59.000000 0.997800 \n",
+ "max 0.222000 47.000000 143.000000 1.003200 \n",
+ "\n",
+ " pH sulphates alcohol quality quality_range \n",
+ "count 1484.000000 1484.000000 1484.000000 1484.000000 1484.000000 \n",
+ "mean 3.316846 0.643652 10.455492 5.661725 0.546496 \n",
+ "std 0.149700 0.129927 1.071880 0.800449 0.498001 \n",
+ "min 2.860000 0.330000 8.400000 3.000000 0.000000 \n",
+ "25% 3.220000 0.550000 9.500000 5.000000 0.000000 \n",
+ "50% 3.315000 0.620000 10.200000 6.000000 1.000000 \n",
+ "75% 3.400000 0.720000 11.100000 6.000000 1.000000 \n",
+ "max 4.010000 1.160000 14.900000 8.000000 1.000000 "
+ ]
+ },
+ "execution_count": 40,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "data6.describe()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 41,
+ "id": "cffae27b",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "<div>\n",
+ "<style scoped>\n",
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+ " vertical-align: middle;\n",
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+ " .dataframe tbody tr th {\n",
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+ " }\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>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",
+ " <th>quality_range</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",
+ " <td>0</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",
+ " <td>0</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",
+ " <td>0</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",
+ " <td>1</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",
+ " <td>0</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 quality_range \n",
+ "0 9.4 5 0 \n",
+ "1 9.8 5 0 \n",
+ "2 9.8 5 0 \n",
+ "3 9.8 6 1 \n",
+ "4 9.4 5 0 "
+ ]
+ },
+ "execution_count": 41,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "data6.head()"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "9db38a0a",
+ "metadata": {},
+ "source": [
+ "With the method quality_range() we have splitted the values of the column 'quality'. All values less than and equal to 5 got the value 0 (, indicating worse then average quality). All values 6 and greater got the value 1 (indicating above average quality)."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 42,
+ "id": "165875ee",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "<Axes: xlabel='quality_range', ylabel='count'>"
+ ]
+ },
+ "execution_count": 42,
+ "metadata": {},
+ "output_type": "execute_result"
+ },
+ {
+ "data": {
+ "image/png": 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",
+ "text/plain": [
+ "<Figure size 1200x800 with 1 Axes>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "plt.figure(figsize =(12, 8))\n",
+ "sns.countplot(data=data6, x=\"quality_range\")"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "86885112",
+ "metadata": {},
+ "source": [
+ "The Target variable is balanced"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 43,
+ "id": "c5e9d126",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "data6.drop('quality', axis=1, inplace=True)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 44,
+ "id": "e2cc5f3f",
+ "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>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_range</th>\n",
+ " </tr>\n",
+ " </thead>\n",
+ " <tbody>\n",
+ " <tr>\n",
+ " <th>count</th>\n",
+ " <td>1484.000000</td>\n",
+ " <td>1484.000000</td>\n",
+ " <td>1484.000000</td>\n",
+ " <td>1484.000000</td>\n",
+ " <td>1484.000000</td>\n",
+ " <td>1484.000000</td>\n",
+ " <td>1484.000000</td>\n",
+ " <td>1484.000000</td>\n",
+ " <td>1484.000000</td>\n",
+ " <td>1484.000000</td>\n",
+ " <td>1484.000000</td>\n",
+ " <td>1484.000000</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>mean</th>\n",
+ " <td>8.331267</td>\n",
+ " <td>0.520044</td>\n",
+ " <td>0.266961</td>\n",
+ " <td>2.427763</td>\n",
+ " <td>0.081051</td>\n",
+ " <td>15.176550</td>\n",
+ " <td>43.828841</td>\n",
+ " <td>0.996705</td>\n",
+ " <td>3.316846</td>\n",
+ " <td>0.643652</td>\n",
+ " <td>10.455492</td>\n",
+ " <td>0.546496</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>std</th>\n",
+ " <td>1.761040</td>\n",
+ " <td>0.165732</td>\n",
+ " <td>0.192996</td>\n",
+ " <td>0.975109</td>\n",
+ " <td>0.020813</td>\n",
+ " <td>9.343802</td>\n",
+ " <td>29.133109</td>\n",
+ " <td>0.001854</td>\n",
+ " <td>0.149700</td>\n",
+ " <td>0.129927</td>\n",
+ " <td>1.071880</td>\n",
+ " <td>0.498001</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>2.860000</td>\n",
+ " <td>0.330000</td>\n",
+ " <td>8.400000</td>\n",
+ " <td>0.000000</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>21.000000</td>\n",
+ " <td>0.995570</td>\n",
+ " <td>3.220000</td>\n",
+ " <td>0.550000</td>\n",
+ " <td>9.500000</td>\n",
+ " <td>0.000000</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>50%</th>\n",
+ " <td>7.900000</td>\n",
+ " <td>0.520000</td>\n",
+ " <td>0.250000</td>\n",
+ " <td>2.200000</td>\n",
+ " <td>0.079000</td>\n",
+ " <td>13.000000</td>\n",
+ " <td>37.000000</td>\n",
+ " <td>0.996700</td>\n",
+ " <td>3.315000</td>\n",
+ " <td>0.620000</td>\n",
+ " <td>10.200000</td>\n",
+ " <td>1.000000</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>75%</th>\n",
+ " <td>9.225000</td>\n",
+ " <td>0.630000</td>\n",
+ " <td>0.420000</td>\n",
+ " <td>2.600000</td>\n",
+ " <td>0.089000</td>\n",
+ " <td>21.000000</td>\n",
+ " <td>59.000000</td>\n",
+ " <td>0.997800</td>\n",
+ " <td>3.400000</td>\n",
+ " <td>0.720000</td>\n",
+ " <td>11.100000</td>\n",
+ " <td>1.000000</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>max</th>\n",
+ " <td>15.900000</td>\n",
+ " <td>1.010000</td>\n",
+ " <td>0.790000</td>\n",
+ " <td>8.300000</td>\n",
+ " <td>0.222000</td>\n",
+ " <td>47.000000</td>\n",
+ " <td>143.000000</td>\n",
+ " <td>1.003200</td>\n",
+ " <td>4.010000</td>\n",
+ " <td>1.160000</td>\n",
+ " <td>14.900000</td>\n",
+ " <td>1.000000</td>\n",
+ " </tr>\n",
+ " </tbody>\n",
+ "</table>\n",
+ "</div>"
+ ],
+ "text/plain": [
+ " fixed acidity volatile acidity citric acid residual sugar \\\n",
+ "count 1484.000000 1484.000000 1484.000000 1484.000000 \n",
+ "mean 8.331267 0.520044 0.266961 2.427763 \n",
+ "std 1.761040 0.165732 0.192996 0.975109 \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 0.250000 2.200000 \n",
+ "75% 9.225000 0.630000 0.420000 2.600000 \n",
+ "max 15.900000 1.010000 0.790000 8.300000 \n",
+ "\n",
+ " chlorides free sulfur dioxide total sulfur dioxide density \\\n",
+ "count 1484.000000 1484.000000 1484.000000 1484.000000 \n",
+ "mean 0.081051 15.176550 43.828841 0.996705 \n",
+ "std 0.020813 9.343802 29.133109 0.001854 \n",
+ "min 0.012000 1.000000 6.000000 0.990070 \n",
+ "25% 0.070000 7.000000 21.000000 0.995570 \n",
+ "50% 0.079000 13.000000 37.000000 0.996700 \n",
+ "75% 0.089000 21.000000 59.000000 0.997800 \n",
+ "max 0.222000 47.000000 143.000000 1.003200 \n",
+ "\n",
+ " pH sulphates alcohol quality_range \n",
+ "count 1484.000000 1484.000000 1484.000000 1484.000000 \n",
+ "mean 3.316846 0.643652 10.455492 0.546496 \n",
+ "std 0.149700 0.129927 1.071880 0.498001 \n",
+ "min 2.860000 0.330000 8.400000 0.000000 \n",
+ "25% 3.220000 0.550000 9.500000 0.000000 \n",
+ "50% 3.315000 0.620000 10.200000 1.000000 \n",
+ "75% 3.400000 0.720000 11.100000 1.000000 \n",
+ "max 4.010000 1.160000 14.900000 1.000000 "
+ ]
+ },
+ "execution_count": 44,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "data6.describe()"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "3f7132df",
+ "metadata": {},
+ "source": [
+ "## 3.3. Test for Multicollinearity "
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 45,
+ "id": "5244d321",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "<Axes: >"
+ ]
+ },
+ "execution_count": 45,
+ "metadata": {},
+ "output_type": "execute_result"
+ },
+ {
+ "data": {
+ "image/png": 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",
+ "text/plain": [
+ "<Figure size 2000x1000 with 2 Axes>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "plt.figure(figsize=(20,10))\n",
+ "feature_corr = data6.corr()\n",
+ "sns.heatmap(feature_corr, annot=True, cmap='coolwarm')"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 46,
+ "id": "cd482de5",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "data6.drop('fixed acidity', axis=1, inplace=True)"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "d0017e4e",
+ "metadata": {},
+ "source": [
+ "fixed acidity is dropped, as it highly correlates with pH"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 47,
+ "id": "5d9dd937",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "<Axes: >"
+ ]
+ },
+ "execution_count": 47,
+ "metadata": {},
+ "output_type": "execute_result"
+ },
+ {
+ "data": {
+ "image/png": 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",
+ "text/plain": [
+ "<Figure size 2000x1000 with 2 Axes>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "plt.figure(figsize=(20,10))\n",
+ "feature_corr = data6.corr()\n",
+ "sns.heatmap(feature_corr, annot=True, cmap='coolwarm')"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "71aebaa9",
+ "metadata": {},
+ "source": [
+ "## 3.4. Create Test and Training Data "
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 48,
+ "id": "a0d4a23e",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "x_train, x_test, y_train, y_test = train_test_split(data6.drop('quality_range', axis=1),data6['quality_range'], test_size=0.2, random_state=365)"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "8e2de4ad",
+ "metadata": {},
+ "source": [
+ "# 4. Modelling and Evaluation"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "f7b2532f",
+ "metadata": {},
+ "source": [
+ "## 4.1. Scale and transform Data"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 49,
+ "id": "0d867167",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "scaler = StandardScaler()\n",
+ "scaler.fit(x_train)\n",
+ "\n",
+ "X_train = scaler.transform(x_train)\n",
+ "X_test = scaler.transform(x_test)"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "ef69aa5e",
+ "metadata": {},
+ "source": [
+ "## 4.1 Modellbildung logistsiche Regression"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 50,
+ "id": "3616d7c9",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "model_logistic_regression = LogisticRegression(random_state=0, C=1e8, max_iter=1000)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 51,
+ "id": "83357c42",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# Train LogistModel\n",
+ "model_logistic_regression.fit(x_train,y_train)\n",
+ "prediction_test = model_logistic_regression.predict(x_test)\n",
+ "prediction_train = model_logistic_regression.predict(x_train)"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "9931748e",
+ "metadata": {},
+ "source": [
+ "### Evaluation"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 52,
+ "id": "9fc3f3a6",
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Accuracy on the Test dataset: 0.6936026936026936\n"
+ ]
+ }
+ ],
+ "source": [
+ "acc = metrics.accuracy_score(y_test, prediction_test)\n",
+ "print('Accuracy on the Test dataset: {}'.format(acc))"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 53,
+ "id": "fffee51c",
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Trainingsdaten:\n",
+ " precision recall f1-score support\n",
+ "\n",
+ " 0 0.74 0.74 0.74 534\n",
+ " 1 0.78 0.79 0.79 653\n",
+ "\n",
+ " accuracy 0.76 1187\n",
+ " macro avg 0.76 0.76 0.76 1187\n",
+ "weighted avg 0.76 0.76 0.76 1187\n",
+ "\n",
+ "Testdaten:\n",
+ " precision recall f1-score support\n",
+ "\n",
+ " 0 0.67 0.68 0.67 139\n",
+ " 1 0.71 0.71 0.71 158\n",
+ "\n",
+ " accuracy 0.69 297\n",
+ " macro avg 0.69 0.69 0.69 297\n",
+ "weighted avg 0.69 0.69 0.69 297\n",
+ "\n"
+ ]
+ }
+ ],
+ "source": [
+ "print(\"Trainingsdaten:\")\n",
+ "print(classification_report(y_train,prediction_train))\n",
+ "print(\"Testdaten:\")\n",
+ "print(classification_report(y_test,prediction_test))"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 54,
+ "id": "3a78781a",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "Text(0.5, 47.7222222222222, 'Predicted label')"
+ ]
+ },
+ "execution_count": 54,
+ "metadata": {},
+ "output_type": "execute_result"
+ },
+ {
+ "data": {
+ "image/png": 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",
+ "text/plain": [
+ "<Figure size 1000x700 with 2 Axes>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "# Confusion-Matrix Test dataset\n",
+ "cm = confusion_matrix(y_test,prediction_test)\n",
+ "df_cm = pd.DataFrame(cm, index=['worse wine','better wine'], columns=['worse wine', 'better wine'],)\n",
+ "fig = plt.figure(figsize=[10,7])\n",
+ "heatmap = sns.heatmap(df_cm, annot=True, fmt=\"d\")\n",
+ "heatmap.yaxis.set_ticklabels(heatmap.yaxis.get_ticklabels(), rotation=0, ha='right', fontsize=14)\n",
+ "heatmap.xaxis.set_ticklabels(heatmap.xaxis.get_ticklabels(), rotation=45, ha='right', fontsize=14)\n",
+ "plt.ylabel('True label')\n",
+ "plt.xlabel('Predicted label')"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 55,
+ "id": "b909efc6",
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "True Negatives: 94\n",
+ "False Positives: 45\n",
+ "False Negatives: 46\n",
+ "True Positives: 112\n",
+ "Recall: 0.7088607594936709\n",
+ "Precision: 0.7133757961783439\n"
+ ]
+ }
+ ],
+ "source": [
+ "# confusion Matrix \n",
+ "tn, fp, fn, tp = cm.ravel()\n",
+ "recall = tp/(fn+tp)\n",
+ "precision = tp/(tp+fp)\n",
+ "print(\"True Negatives: \" + str(tn))\n",
+ "print(\"False Positives: \" + str(fp))\n",
+ "print(\"False Negatives: \" + str(fn))\n",
+ "print(\"True Positives: \" + str(tp))\n",
+ "print(\"Recall: \" + str(recall))\n",
+ "print(\"Precision: \" + str(precision))"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 57,
+ "id": "23397cbe",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "image/png": 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",
+ "text/plain": [
+ "<Figure size 800x600 with 1 Axes>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "from sklearn.metrics import roc_curve, auc\n",
+ "import matplotlib.pyplot as plt\n",
+ "\n",
+ "# Assuming model_logistic_regression is your trained model\n",
+ "# x_test and y_test are your test data and test labels respectively\n",
+ "\n",
+ "y_pred_prob = model_logistic_regression.predict_proba(x_test)[:, 1]\n",
+ "fpr, tpr, thresholds = roc_curve(y_test, y_pred_prob)\n",
+ "roc_auc = auc(fpr, tpr)\n",
+ "\n",
+ "plt.figure(figsize=(8,6))\n",
+ "plt.plot(fpr, tpr, color='blue', lw=2, label='ROC curve (area = %0.2f)' % roc_auc)\n",
+ "plt.plot([0, 1], [0, 1], color='grey', lw=2, linestyle='--')\n",
+ "plt.xlim([0.0, 1.0])\n",
+ "plt.ylim([0.0, 1.05])\n",
+ "plt.xlabel('False Positive Rate')\n",
+ "plt.ylabel('True Positive Rate')\n",
+ "plt.title('Receiver Operating Characteristic')\n",
+ "plt.legend(loc=\"lower right\")\n",
+ "plt.show()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 58,
+ "id": "c7aaddcd",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "sulphates 5.186273\n",
+ "alcohol 0.913987\n",
+ "free sulfur dioxide 0.020072\n",
+ "total sulfur dioxide -0.018107\n",
+ "residual sugar -0.178077\n",
+ "citric acid -1.279958\n",
+ "pH -1.626052\n",
+ "density -1.934006\n",
+ "volatile acidity -3.117129\n",
+ "chlorides -3.541015\n",
+ "dtype: float64"
+ ]
+ },
+ "execution_count": 58,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "# print out Regression parameters (weights and biases)\n",
+ "weights = pd.Series(model_logistic_regression.coef_[0], index=x_train.columns.values)\n",
+ "weights.sort_values(ascending = False)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 60,
+ "id": "41a8efc7",
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Axes(0.125,0.11;0.775x0.77)\n"
+ ]
+ },
+ {
+ "data": {
+ "image/png": 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",
+ "text/plain": [
+ "<Figure size 640x480 with 1 Axes>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "# grafically ilustrate the most important features of a good wine \n",
+ "weights = pd.Series(model_logistic_regression.coef_[0], index=x_train.columns.values)\n",
+ "print (weights.sort_values(ascending = False)[:7].plot(kind='bar'))"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "456bf72c",
+ "metadata": {},
+ "source": [
+ "## 3.3 Ein linear Regression"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 61,
+ "id": "c81af526",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "X = data6.drop(['quality_range'], axis=1)\n",
+ "Y = data6['quality_range']"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 62,
+ "id": "18b309a2",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "x_train, x_test, y_train, y_test = train_test_split(X, Y, test_size=0.2, random_state=365)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 63,
+ "id": "52fa9259",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "model_linear_regression = LinearRegression()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 64,
+ "id": "a3368253",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "<style>#sk-container-id-1 {\n",
+ " /* Definition of color scheme common for light and dark mode */\n",
+ " --sklearn-color-text: black;\n",
+ " --sklearn-color-line: gray;\n",
+ " /* Definition of color scheme for unfitted estimators */\n",
+ " --sklearn-color-unfitted-level-0: #fff5e6;\n",
+ " --sklearn-color-unfitted-level-1: #f6e4d2;\n",
+ " --sklearn-color-unfitted-level-2: #ffe0b3;\n",
+ " --sklearn-color-unfitted-level-3: chocolate;\n",
+ " /* Definition of color scheme for fitted estimators */\n",
+ " --sklearn-color-fitted-level-0: #f0f8ff;\n",
+ " --sklearn-color-fitted-level-1: #d4ebff;\n",
+ " --sklearn-color-fitted-level-2: #b3dbfd;\n",
+ " --sklearn-color-fitted-level-3: cornflowerblue;\n",
+ "\n",
+ " /* Specific color for light theme */\n",
+ " --sklearn-color-text-on-default-background: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, black)));\n",
+ " --sklearn-color-background: var(--sg-background-color, var(--theme-background, var(--jp-layout-color0, white)));\n",
+ " --sklearn-color-border-box: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, black)));\n",
+ " --sklearn-color-icon: #696969;\n",
+ "\n",
+ " @media (prefers-color-scheme: dark) {\n",
+ " /* Redefinition of color scheme for dark theme */\n",
+ " --sklearn-color-text-on-default-background: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, white)));\n",
+ " --sklearn-color-background: var(--sg-background-color, var(--theme-background, var(--jp-layout-color0, #111)));\n",
+ " --sklearn-color-border-box: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, white)));\n",
+ " --sklearn-color-icon: #878787;\n",
+ " }\n",
+ "}\n",
+ "\n",
+ "#sk-container-id-1 {\n",
+ " color: var(--sklearn-color-text);\n",
+ "}\n",
+ "\n",
+ "#sk-container-id-1 pre {\n",
+ " padding: 0;\n",
+ "}\n",
+ "\n",
+ "#sk-container-id-1 input.sk-hidden--visually {\n",
+ " border: 0;\n",
+ " clip: rect(1px 1px 1px 1px);\n",
+ " clip: rect(1px, 1px, 1px, 1px);\n",
+ " height: 1px;\n",
+ " margin: -1px;\n",
+ " overflow: hidden;\n",
+ " padding: 0;\n",
+ " position: absolute;\n",
+ " width: 1px;\n",
+ "}\n",
+ "\n",
+ "#sk-container-id-1 div.sk-dashed-wrapped {\n",
+ " border: 1px dashed var(--sklearn-color-line);\n",
+ " margin: 0 0.4em 0.5em 0.4em;\n",
+ " box-sizing: border-box;\n",
+ " padding-bottom: 0.4em;\n",
+ " background-color: var(--sklearn-color-background);\n",
+ "}\n",
+ "\n",
+ "#sk-container-id-1 div.sk-container {\n",
+ " /* jupyter's `normalize.less` sets `[hidden] { display: none; }`\n",
+ " but bootstrap.min.css set `[hidden] { display: none !important; }`\n",
+ " so we also need the `!important` here to be able to override the\n",
+ " default hidden behavior on the sphinx rendered scikit-learn.org.\n",
+ " See: https://github.com/scikit-learn/scikit-learn/issues/21755 */\n",
+ " display: inline-block !important;\n",
+ " position: relative;\n",
+ "}\n",
+ "\n",
+ "#sk-container-id-1 div.sk-text-repr-fallback {\n",
+ " display: none;\n",
+ "}\n",
+ "\n",
+ "div.sk-parallel-item,\n",
+ "div.sk-serial,\n",
+ "div.sk-item {\n",
+ " /* draw centered vertical line to link estimators */\n",
+ " background-image: linear-gradient(var(--sklearn-color-text-on-default-background), var(--sklearn-color-text-on-default-background));\n",
+ " background-size: 2px 100%;\n",
+ " background-repeat: no-repeat;\n",
+ " background-position: center center;\n",
+ "}\n",
+ "\n",
+ "/* Parallel-specific style estimator block */\n",
+ "\n",
+ "#sk-container-id-1 div.sk-parallel-item::after {\n",
+ " content: \"\";\n",
+ " width: 100%;\n",
+ " border-bottom: 2px solid var(--sklearn-color-text-on-default-background);\n",
+ " flex-grow: 1;\n",
+ "}\n",
+ "\n",
+ "#sk-container-id-1 div.sk-parallel {\n",
+ " display: flex;\n",
+ " align-items: stretch;\n",
+ " justify-content: center;\n",
+ " background-color: var(--sklearn-color-background);\n",
+ " position: relative;\n",
+ "}\n",
+ "\n",
+ "#sk-container-id-1 div.sk-parallel-item {\n",
+ " display: flex;\n",
+ " flex-direction: column;\n",
+ "}\n",
+ "\n",
+ "#sk-container-id-1 div.sk-parallel-item:first-child::after {\n",
+ " align-self: flex-end;\n",
+ " width: 50%;\n",
+ "}\n",
+ "\n",
+ "#sk-container-id-1 div.sk-parallel-item:last-child::after {\n",
+ " align-self: flex-start;\n",
+ " width: 50%;\n",
+ "}\n",
+ "\n",
+ "#sk-container-id-1 div.sk-parallel-item:only-child::after {\n",
+ " width: 0;\n",
+ "}\n",
+ "\n",
+ "/* Serial-specific style estimator block */\n",
+ "\n",
+ "#sk-container-id-1 div.sk-serial {\n",
+ " display: flex;\n",
+ " flex-direction: column;\n",
+ " align-items: center;\n",
+ " background-color: var(--sklearn-color-background);\n",
+ " padding-right: 1em;\n",
+ " padding-left: 1em;\n",
+ "}\n",
+ "\n",
+ "\n",
+ "/* Toggleable style: style used for estimator/Pipeline/ColumnTransformer box that is\n",
+ "clickable and can be expanded/collapsed.\n",
+ "- Pipeline and ColumnTransformer use this feature and define the default style\n",
+ "- Estimators will overwrite some part of the style using the `sk-estimator` class\n",
+ "*/\n",
+ "\n",
+ "/* Pipeline and ColumnTransformer style (default) */\n",
+ "\n",
+ "#sk-container-id-1 div.sk-toggleable {\n",
+ " /* Default theme specific background. It is overwritten whether we have a\n",
+ " specific estimator or a Pipeline/ColumnTransformer */\n",
+ " background-color: var(--sklearn-color-background);\n",
+ "}\n",
+ "\n",
+ "/* Toggleable label */\n",
+ "#sk-container-id-1 label.sk-toggleable__label {\n",
+ " cursor: pointer;\n",
+ " display: block;\n",
+ " width: 100%;\n",
+ " margin-bottom: 0;\n",
+ " padding: 0.5em;\n",
+ " box-sizing: border-box;\n",
+ " text-align: center;\n",
+ "}\n",
+ "\n",
+ "#sk-container-id-1 label.sk-toggleable__label-arrow:before {\n",
+ " /* Arrow on the left of the label */\n",
+ " content: \"â–¸\";\n",
+ " float: left;\n",
+ " margin-right: 0.25em;\n",
+ " color: var(--sklearn-color-icon);\n",
+ "}\n",
+ "\n",
+ "#sk-container-id-1 label.sk-toggleable__label-arrow:hover:before {\n",
+ " color: var(--sklearn-color-text);\n",
+ "}\n",
+ "\n",
+ "/* Toggleable content - dropdown */\n",
+ "\n",
+ "#sk-container-id-1 div.sk-toggleable__content {\n",
+ " max-height: 0;\n",
+ " max-width: 0;\n",
+ " overflow: hidden;\n",
+ " text-align: left;\n",
+ " /* unfitted */\n",
+ " background-color: var(--sklearn-color-unfitted-level-0);\n",
+ "}\n",
+ "\n",
+ "#sk-container-id-1 div.sk-toggleable__content.fitted {\n",
+ " /* fitted */\n",
+ " background-color: var(--sklearn-color-fitted-level-0);\n",
+ "}\n",
+ "\n",
+ "#sk-container-id-1 div.sk-toggleable__content pre {\n",
+ " margin: 0.2em;\n",
+ " border-radius: 0.25em;\n",
+ " color: var(--sklearn-color-text);\n",
+ " /* unfitted */\n",
+ " background-color: var(--sklearn-color-unfitted-level-0);\n",
+ "}\n",
+ "\n",
+ "#sk-container-id-1 div.sk-toggleable__content.fitted pre {\n",
+ " /* unfitted */\n",
+ " background-color: var(--sklearn-color-fitted-level-0);\n",
+ "}\n",
+ "\n",
+ "#sk-container-id-1 input.sk-toggleable__control:checked~div.sk-toggleable__content {\n",
+ " /* Expand drop-down */\n",
+ " max-height: 200px;\n",
+ " max-width: 100%;\n",
+ " overflow: auto;\n",
+ "}\n",
+ "\n",
+ "#sk-container-id-1 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {\n",
+ " content: \"â–¾\";\n",
+ "}\n",
+ "\n",
+ "/* Pipeline/ColumnTransformer-specific style */\n",
+ "\n",
+ "#sk-container-id-1 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
+ " color: var(--sklearn-color-text);\n",
+ " background-color: var(--sklearn-color-unfitted-level-2);\n",
+ "}\n",
+ "\n",
+ "#sk-container-id-1 div.sk-label.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
+ " background-color: var(--sklearn-color-fitted-level-2);\n",
+ "}\n",
+ "\n",
+ "/* Estimator-specific style */\n",
+ "\n",
+ "/* Colorize estimator box */\n",
+ "#sk-container-id-1 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
+ " /* unfitted */\n",
+ " background-color: var(--sklearn-color-unfitted-level-2);\n",
+ "}\n",
+ "\n",
+ "#sk-container-id-1 div.sk-estimator.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
+ " /* fitted */\n",
+ " background-color: var(--sklearn-color-fitted-level-2);\n",
+ "}\n",
+ "\n",
+ "#sk-container-id-1 div.sk-label label.sk-toggleable__label,\n",
+ "#sk-container-id-1 div.sk-label label {\n",
+ " /* The background is the default theme color */\n",
+ " color: var(--sklearn-color-text-on-default-background);\n",
+ "}\n",
+ "\n",
+ "/* On hover, darken the color of the background */\n",
+ "#sk-container-id-1 div.sk-label:hover label.sk-toggleable__label {\n",
+ " color: var(--sklearn-color-text);\n",
+ " background-color: var(--sklearn-color-unfitted-level-2);\n",
+ "}\n",
+ "\n",
+ "/* Label box, darken color on hover, fitted */\n",
+ "#sk-container-id-1 div.sk-label.fitted:hover label.sk-toggleable__label.fitted {\n",
+ " color: var(--sklearn-color-text);\n",
+ " background-color: var(--sklearn-color-fitted-level-2);\n",
+ "}\n",
+ "\n",
+ "/* Estimator label */\n",
+ "\n",
+ "#sk-container-id-1 div.sk-label label {\n",
+ " font-family: monospace;\n",
+ " font-weight: bold;\n",
+ " display: inline-block;\n",
+ " line-height: 1.2em;\n",
+ "}\n",
+ "\n",
+ "#sk-container-id-1 div.sk-label-container {\n",
+ " text-align: center;\n",
+ "}\n",
+ "\n",
+ "/* Estimator-specific */\n",
+ "#sk-container-id-1 div.sk-estimator {\n",
+ " font-family: monospace;\n",
+ " border: 1px dotted var(--sklearn-color-border-box);\n",
+ " border-radius: 0.25em;\n",
+ " box-sizing: border-box;\n",
+ " margin-bottom: 0.5em;\n",
+ " /* unfitted */\n",
+ " background-color: var(--sklearn-color-unfitted-level-0);\n",
+ "}\n",
+ "\n",
+ "#sk-container-id-1 div.sk-estimator.fitted {\n",
+ " /* fitted */\n",
+ " background-color: var(--sklearn-color-fitted-level-0);\n",
+ "}\n",
+ "\n",
+ "/* on hover */\n",
+ "#sk-container-id-1 div.sk-estimator:hover {\n",
+ " /* unfitted */\n",
+ " background-color: var(--sklearn-color-unfitted-level-2);\n",
+ "}\n",
+ "\n",
+ "#sk-container-id-1 div.sk-estimator.fitted:hover {\n",
+ " /* fitted */\n",
+ " background-color: var(--sklearn-color-fitted-level-2);\n",
+ "}\n",
+ "\n",
+ "/* Specification for estimator info (e.g. \"i\" and \"?\") */\n",
+ "\n",
+ "/* Common style for \"i\" and \"?\" */\n",
+ "\n",
+ ".sk-estimator-doc-link,\n",
+ "a:link.sk-estimator-doc-link,\n",
+ "a:visited.sk-estimator-doc-link {\n",
+ " float: right;\n",
+ " font-size: smaller;\n",
+ " line-height: 1em;\n",
+ " font-family: monospace;\n",
+ " background-color: var(--sklearn-color-background);\n",
+ " border-radius: 1em;\n",
+ " height: 1em;\n",
+ " width: 1em;\n",
+ " text-decoration: none !important;\n",
+ " margin-left: 1ex;\n",
+ " /* unfitted */\n",
+ " border: var(--sklearn-color-unfitted-level-1) 1pt solid;\n",
+ " color: var(--sklearn-color-unfitted-level-1);\n",
+ "}\n",
+ "\n",
+ ".sk-estimator-doc-link.fitted,\n",
+ "a:link.sk-estimator-doc-link.fitted,\n",
+ "a:visited.sk-estimator-doc-link.fitted {\n",
+ " /* fitted */\n",
+ " border: var(--sklearn-color-fitted-level-1) 1pt solid;\n",
+ " color: var(--sklearn-color-fitted-level-1);\n",
+ "}\n",
+ "\n",
+ "/* On hover */\n",
+ "div.sk-estimator:hover .sk-estimator-doc-link:hover,\n",
+ ".sk-estimator-doc-link:hover,\n",
+ "div.sk-label-container:hover .sk-estimator-doc-link:hover,\n",
+ ".sk-estimator-doc-link:hover {\n",
+ " /* unfitted */\n",
+ " background-color: var(--sklearn-color-unfitted-level-3);\n",
+ " color: var(--sklearn-color-background);\n",
+ " text-decoration: none;\n",
+ "}\n",
+ "\n",
+ "div.sk-estimator.fitted:hover .sk-estimator-doc-link.fitted:hover,\n",
+ ".sk-estimator-doc-link.fitted:hover,\n",
+ "div.sk-label-container:hover .sk-estimator-doc-link.fitted:hover,\n",
+ ".sk-estimator-doc-link.fitted:hover {\n",
+ " /* fitted */\n",
+ " background-color: var(--sklearn-color-fitted-level-3);\n",
+ " color: var(--sklearn-color-background);\n",
+ " text-decoration: none;\n",
+ "}\n",
+ "\n",
+ "/* Span, style for the box shown on hovering the info icon */\n",
+ ".sk-estimator-doc-link span {\n",
+ " display: none;\n",
+ " z-index: 9999;\n",
+ " position: relative;\n",
+ " font-weight: normal;\n",
+ " right: .2ex;\n",
+ " padding: .5ex;\n",
+ " margin: .5ex;\n",
+ " width: min-content;\n",
+ " min-width: 20ex;\n",
+ " max-width: 50ex;\n",
+ " color: var(--sklearn-color-text);\n",
+ " box-shadow: 2pt 2pt 4pt #999;\n",
+ " /* unfitted */\n",
+ " background: var(--sklearn-color-unfitted-level-0);\n",
+ " border: .5pt solid var(--sklearn-color-unfitted-level-3);\n",
+ "}\n",
+ "\n",
+ ".sk-estimator-doc-link.fitted span {\n",
+ " /* fitted */\n",
+ " background: var(--sklearn-color-fitted-level-0);\n",
+ " border: var(--sklearn-color-fitted-level-3);\n",
+ "}\n",
+ "\n",
+ ".sk-estimator-doc-link:hover span {\n",
+ " display: block;\n",
+ "}\n",
+ "\n",
+ "/* \"?\"-specific style due to the `<a>` HTML tag */\n",
+ "\n",
+ "#sk-container-id-1 a.estimator_doc_link {\n",
+ " float: right;\n",
+ " font-size: 1rem;\n",
+ " line-height: 1em;\n",
+ " font-family: monospace;\n",
+ " background-color: var(--sklearn-color-background);\n",
+ " border-radius: 1rem;\n",
+ " height: 1rem;\n",
+ " width: 1rem;\n",
+ " text-decoration: none;\n",
+ " /* unfitted */\n",
+ " color: var(--sklearn-color-unfitted-level-1);\n",
+ " border: var(--sklearn-color-unfitted-level-1) 1pt solid;\n",
+ "}\n",
+ "\n",
+ "#sk-container-id-1 a.estimator_doc_link.fitted {\n",
+ " /* fitted */\n",
+ " border: var(--sklearn-color-fitted-level-1) 1pt solid;\n",
+ " color: var(--sklearn-color-fitted-level-1);\n",
+ "}\n",
+ "\n",
+ "/* On hover */\n",
+ "#sk-container-id-1 a.estimator_doc_link:hover {\n",
+ " /* unfitted */\n",
+ " background-color: var(--sklearn-color-unfitted-level-3);\n",
+ " color: var(--sklearn-color-background);\n",
+ " text-decoration: none;\n",
+ "}\n",
+ "\n",
+ "#sk-container-id-1 a.estimator_doc_link.fitted:hover {\n",
+ " /* fitted */\n",
+ " background-color: var(--sklearn-color-fitted-level-3);\n",
+ "}\n",
+ "</style><div id=\"sk-container-id-1\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>LinearRegression()</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 fitted 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 fitted sk-toggleable__label-arrow fitted\"> LinearRegression<a class=\"sk-estimator-doc-link fitted\" rel=\"noreferrer\" target=\"_blank\" href=\"https://scikit-learn.org/1.5/modules/generated/sklearn.linear_model.LinearRegression.html\">?<span>Documentation for LinearRegression</span></a><span class=\"sk-estimator-doc-link fitted\">i<span>Fitted</span></span></label><div class=\"sk-toggleable__content fitted\"><pre>LinearRegression()</pre></div> </div></div></div></div>"
+ ],
+ "text/plain": [
+ "LinearRegression()"
+ ]
+ },
+ "execution_count": 64,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "model_linear_regression.fit(x_train, y_train)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 65,
+ "id": "5f7e35e6",
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "-10.073788720357728\n"
+ ]
+ }
+ ],
+ "source": [
+ "print(model_linear_regression.intercept_)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 66,
+ "id": "f9c415d9",
+ "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>Coefficient</th>\n",
+ " </tr>\n",
+ " </thead>\n",
+ " <tbody>\n",
+ " <tr>\n",
+ " <th>volatile acidity</th>\n",
+ " <td>-0.560376</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>citric acid</th>\n",
+ " <td>-0.234547</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>residual sugar</th>\n",
+ " <td>-0.035414</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>chlorides</th>\n",
+ " <td>-0.557458</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>free sulfur dioxide</th>\n",
+ " <td>0.004425</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>total sulfur dioxide</th>\n",
+ " <td>-0.003436</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>density</th>\n",
+ " <td>9.804198</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>pH</th>\n",
+ " <td>-0.254166</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>sulphates</th>\n",
+ " <td>0.843459</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>alcohol</th>\n",
+ " <td>0.164131</td>\n",
+ " </tr>\n",
+ " </tbody>\n",
+ "</table>\n",
+ "</div>"
+ ],
+ "text/plain": [
+ " Coefficient\n",
+ "volatile acidity -0.560376\n",
+ "citric acid -0.234547\n",
+ "residual sugar -0.035414\n",
+ "chlorides -0.557458\n",
+ "free sulfur dioxide 0.004425\n",
+ "total sulfur dioxide -0.003436\n",
+ "density 9.804198\n",
+ "pH -0.254166\n",
+ "sulphates 0.843459\n",
+ "alcohol 0.164131"
+ ]
+ },
+ "execution_count": 66,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "coeff_data = pd.DataFrame(model_linear_regression.coef_, X.columns, columns=['Coefficient'])\n",
+ "coeff_data"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 67,
+ "id": "b5feab3c",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "predictions = model_linear_regression.predict(x_test)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 68,
+ "id": "e0440a5a",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "<matplotlib.collections.PathCollection at 0x26369066710>"
+ ]
+ },
+ "execution_count": 68,
+ "metadata": {},
+ "output_type": "execute_result"
+ },
+ {
+ "data": {
+ "image/png": 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8ovfff1933XVXuIfaQ5p/uNEcAABek5mWaDRnQtjLy+rVq7VkyRLdddddmjJlitasWaP09HStW7eu1/yOHTs0YcIE3X///crIyNB1112ne+65R7t27Qr3UHvIyUhSwG+/hkvAH8+j0gCAIav+1GmjORPCWl5Onz6t3bt3Ky8vr9vxvLw8bd++vdf3zJo1S4cPH1ZRUZEsy9LRo0f161//WjfffHOv+ZaWFjU0NHR7mRId5dOKBZl9Pg7tk7RiQaar+zkAAOCmpASHt1A4zJkQ1vJSW1urtrY2paamdjuempqq6urqXt8za9Ysbdy4UQsXLlRsbKzS0tI0atQo/fznP+81X1hYKL/f3/VKT083+neYlxXQt76QobP7SZRP+tYXMjQvK2D05wEAEEk+/DRkNGeCKzfs+nzdP/kty+pxrFNFRYXuv/9+Pfroo9q9e7eKi4tVWVmp/Pz8XvMFBQUKhUJdr0OHDhkde3F5UE9vrdTZWza0W9LTWytVXB40+vMAAIgk//WHo0ZzJsSE85snJycrOjq6xyxLTU1Nj9mYToWFhZo9e7a++93vSpKuvvpqjRgxQnPmzNEPf/hDBQLdZzri4uIUFxeeVf06N6Oy22pq1ZYKzc1M49IRAGCIcvr55t7nYFhnXmJjY5Wdna2SkpJux0tKSjRr1qxe39PU1KSoqO7Dio6OltQxY+OmSNyMCgAAN83N7H2y4VxzJoT9stHSpUv17LPPav369dq3b58eeughVVVVdV0GKigo0OLFi7vyCxYs0ObNm7Vu3TodOHBA7733nu6//37l5ORozJgx4R5uN5G4GRUAAG66c3aG0ZwJYb1sJEkLFy5UXV2dHnvsMQWDQWVlZamoqEjjx4+XJAWDwW5rvtxxxx1qbGzUL37xC/393/+9Ro0apRtuuEGPP/54uIfaQ8pI+8ekB5oDAMBroqN8iouJUovN3kVxMVGu3j7hs9y+FhNmDQ0N8vv9CoVCSkw8vwVz2totXff4b1Qdau71vhefpDR/vN595AbueQEADEnvfVyrv3nud/3mNi6ZodmXJZ/zzxnI5zd7G9noXOelr3ZniXVeAABDW+mBWqM5Eygv/SirOnZeXwcAwMucXp5x8zIO5cXG6TPtemZbpW3mmW2VOm1zHRAAAC8bNdzZyrlOcyZQXmy8WPpJj8XpztZudeQAABiKkkY43B7AYc4EyouNg/VNRnMAAHhN/ckWozkTKC82xiclGM0BAOA19Scc7irtMGcC5cXGotwJPTZkPFuUryMHAMBQdOiYs6sLTnMmUF5sxMZE6e459isG3j0nQ7ExnEYAwNBUfqTBaM6EsK+w63UFN2VK6niq6LM370b5OopL59cBABiKzrQ5e6LWac4EyosDBTdl6u/zJuvF0k90sL5J45MStCh3AjMuAIAh77LUi3T4eP97+F2WepELo+lAeXEoNiZKS+ZMHOxhAADgqqnpF+vtP/a/eu7U9ItdGE0Hpg4camu3VLq/Tv+291OV7q9TW38LwAAAMAT89o9HjeZMYObFgeLyoFa+UaHqhj9Pm6UlxmvlLZmalxUYxJEBABBeVcdOGc2ZwMxLP4rLg8rfsKdbcZGk6oZm5W/Yo+Ly4CCNDACA8Lso1tk8h9OcCZQXG23tlpZt/sA2U7D5Ay4hAQCGrEkpzm7EdZozgfJiY8eBOh1varXNHGtq1Y4DdS6NCAAAdzm9PcLN2ygoLza2ffwnozkAALxm3MXOtsBxmjOB8mLjg8PHjeYAAPCanIwkjUoYZpsZlTBMORlJLo2I8mKr5Yyz1QKd5gAA8KLT/XzOtbr8OUh5sRGJU2UAALhpx/46NZ1us82cPN2mHfvdu/+T8mLjq1PHGc0BAOA1pQf6X113IDkTKC82pju8fuc0BwCA1zhdDcTNVUMoLzZeLP3EaA4AAK+5OCHWaM4EyouNtyqqjeYAAPCakfHRRnMmUF5sWJazOTCnOQAAvOZfdx0ymjOB8mLj8tREozkAALympqHFaM4EyosNfz+L8gw0BwCA18REO6sKTnMmUF5sVIea+w8NIAcAgNfcOCXFaM4EyouNwKh4ozkAALwmeUSc0ZwJlBcbSQ4f+3KaAwDAa/ZVNxjNmUB5sZF8kcO26TAHAIDXnGq13xpgoDkTKC820vzDjeYAAPCa6eMdrjbvMGcC5cVGJG4DDgCAm6akOVsOxGnOBMrLefIN9gAAAAij2pPO1m9xmjOB8mJjZ2W9jje12maONbVqZ2W9SyMCAMBdtSdOG82ZQHmxUdPobP0WpzkAALzmTw3OPuOc5kygvNhIGels/RanOQAAvGb7gTqjORNcKS9r165VRkaG4uPjlZ2drW3bttnmW1patHz5co0fP15xcXGaNGmS1q9f78ZQu3Fyw+7F3LALABjSnG4+7N4mxTHh/gGbNm3Sgw8+qLVr12r27Nl66qmnNH/+fFVUVOjSSy/t9T233nqrjh49queee06f+9znVFNTozNnzoR7qOeE/aQBAENZmn+4yo80Osq5JewzL6tXr9aSJUt01113acqUKVqzZo3S09O1bt26XvPFxcV65513VFRUpBtvvFETJkxQTk6OZs2aFe6h9uDkht3j3LALABjCvjj5EqM5E8JaXk6fPq3du3crLy+v2/G8vDxt37691/e88cYbmj59un784x9r7Nixuvzyy/Xwww/r1KlT4Rxqr7hhFwBwofvtH/5kNGdCWC8b1dbWqq2tTampqd2Op6amqrq6utf3HDhwQO+++67i4+P12muvqba2Vvfdd5/q6+t7ve+lpaVFLS1/fra8ocHc3gqRuBkVAABuOnHa2W0bTnMmuHLDrs/XfSk3y7J6HOvU3t4un8+njRs3KicnRzfddJNWr16t559/vtfZl8LCQvn9/q5Xenq6wYEbzgEA4DG1jQ4XqXOYMyGs5SU5OVnR0dE9Zllqamp6zMZ0CgQCGjt2rPx+f9exKVOmyLIsHT58uEe+oKBAoVCo63Xo0CFj46894fAfzGEOAACvGRbl7Dd0pzkTwlpeYmNjlZ2drZKSkm7HS0pK+rwBd/bs2Tpy5IhOnDjRdeyjjz5SVFSUxo0b1yMfFxenxMTEbi9TWOcFAHChG5UQazRnQtgvGy1dulTPPvus1q9fr3379umhhx5SVVWV8vPzJXXMnCxevLgrf9ttt2n06NG68847VVFRoa1bt+q73/2u/vZv/1bDh7u7e3P2+IvVX5GM8nXkAAAYisYmOfvsdZozIezrvCxcuFB1dXV67LHHFAwGlZWVpaKiIo0fP16SFAwGVVVV1ZW/6KKLVFJSor/7u7/T9OnTNXr0aN1666364Q9/GO6h9rD74DG197OQS7vVkcudNNqdQQEA4KL9R0/0HxpAzoSwlxdJuu+++3Tffff1+rXnn3++x7HJkyf3uNQ0GHhUGgBwoatpdLbhotOcCextZCPJ4fU7pzkAALzmkouczXM4zZlAebFREXS2ZozTHAAAntPH0ibnnDOA8mLD6bL/bA8AABiqTrc528XPac4EyouN/X/qfyOqgeQAAPCaSFyvlfJiw7KctUinOQAAvCZjdILRnAmUFxsXxQ0zmgMAwGvSky4ymjOB8mLjusuSjeYAAPCai0c4e6LWac4EyouNJIe7RTvNAQDgNckXOSslTnMmUF5s1J10tvic0xwAAF6T5ne27L/TnAmUFxvlh52t3+I0BwCA11w11m80ZwLlxUbtyRajOQAAvObx4n1GcyZQXmwkOnyKyGkOAACvqaw9aTRnAuXFxo1TUo3mAADwmuHDoo3mTKC82LgidaTRHAAAXpN3ZZrRnAmUFxv/9vsjRnMAAHjNGIdPETnNmUB5sXH4WJPRHAAAXtPucAscpzkTKC82IrFtAgDgph0H6ozmTKC82LhybKLRHAAAXnOo3tnVBac5EygvNlISnc2oOM0BAOA1tSccrnnmMGcC5cVGykhnexY5zQEA4DXNrW1GcyZQXuw4vffIvXuUAABw1fBYh+u8OMyZQHmxUR06ZTQHAIDXZAWc7VnkNGcC5cXG7qpjRnMAAHhN4+kzRnMmUF5s/DHobLdopzkAALzmaGOz0ZwJlBcbkdg2AQBwU0tru9GcCZQXG5PTnF2/c5oDAMBrssY4vOfFYc4EyouN/5s9zmgOAACvGX1RrNGcCZQXGzMmjjaaAwDAa5ISnJUSpzkTKC82fudwnwanOQAAvKa+qdVozgTKi41XdlUZzQEA4DXHT502mjOB8mLjD0cbjeYAAPAan+GcCZQXO2wPAAC4wOVOTDaaM4HyYuOylIuM5gAA8JrPZyQZzZlAebHhd3jntNMcAABe835lvdGcCZQXG1E+Z1fwnOYAAPCabR//yWjOBMqLDaedhO4CABiq3v2fWqM5EygvNq4e62ypY6c5AAC8pqGpxWjOBMqLjeOnnG246DQHAIDXNJ9xtuGi05wJrpSXtWvXKiMjQ/Hx8crOzta2bdscve+9995TTEyMrr322vAOsA91J521SKc5AAC8JiF2mNGcCWEvL5s2bdKDDz6o5cuXq6ysTHPmzNH8+fNVVWW/Km0oFNLixYv1l3/5l+EeYp/KD4eM5gAA8JqxFw83mjMh7OVl9erVWrJkie666y5NmTJFa9asUXp6utatW2f7vnvuuUe33XabcnNzwz3EPsXGOLsT12kOAACv+dYXJhrNmRDW8nL69Gnt3r1beXl53Y7n5eVp+/btfb7vV7/6lfbv368VK1b0+zNaWlrU0NDQ7WVKu+Vs6VynOQAAvCZ3ksMVdh3mTAhreamtrVVbW5tSU1O7HU9NTVV1dXWv7/n444+1bNkybdy4UTExMf3+jMLCQvn9/q5Xenq6kbFL0qfHmo3mAADwmgt2kTrfWQuhWJbV45gktbW16bbbbtOqVat0+eWXO/reBQUFCoVCXa9Dhw4ZGbMkNbY4e4rIaQ4AAK8pPeBs/RanORP6n9o4D8nJyYqOju4xy1JTU9NjNkaSGhsbtWvXLpWVlek73/mOJKm9vV2WZSkmJkZvvfWWbrjhhm7viYuLU1xcXFjGPyl5hKob+n+SaFLyiLD8fAAABl/k7Ssd1pmX2NhYZWdnq6SkpNvxkpISzZo1q0c+MTFRH3zwgfbu3dv1ys/P1xVXXKG9e/dqxowZ4RxuD9/6wiSjOQAAvCZ30mijORPCOvMiSUuXLtWiRYs0ffp05ebm6umnn1ZVVZXy8/MldVz2+fTTT/XCCy8oKipKWVlZ3d6fkpKi+Pj4HsfdkPs5hzcpOcwBAOA1MyeO1qiEYTre1Npn5uKEYZo5cQiVl4ULF6qurk6PPfaYgsGgsrKyVFRUpPHjx0uSgsFgv2u+DJb3P3F4k9In9ZpNgQEADEHRUT796CtXKX/Dnj4zhV+5StFR7l028lnW0HrOt6GhQX6/X6FQSImJief1vQr/o0JPbavsN3fPnAwV3Jx5Xj8LAIBIVVwetC0vT94+TfOyAuf1Mwby+c3eRjaKPwwazQEA4DVt7ZaWbf7ANrNs8wdqa3dvLoTyYuNYk7NHoJ3mAADwmh3762zvd5Gk402t2rG/zqURUV5sJcY722TKaQ4AAK+JxHVeKC82vjHd2Wq9TnMAAHjPBbbOi9ddljrSaA4AAK+JxHVeKC82nnj7I6M5AAC8pnOdFztur/NCebFxtLH/rQEGkgMAwGuio3xaOH2cbebW6eNcXeeF8mIj5SJneyY5zQEA4DVt7ZY27Tpsm/nXXYd5VDpSzM9KM5oDAMBrdhzo/1HpY02t2nGAR6UjwqnWdqM5AAC8ptTh+i1OcyZQXuxE3tNhAAC4zOnlIC4bRYSL4pztW+k0BwCA18yY4OwpIqc5EygvNv4YbDSaAwDAa6KinV1ecJozgfJio6m1zWgOAACvqT3hbDkQpzkTKC82Pj8hyWgOAACvSXa4HIjTnAmUFxtfnWa/KM9AcwAAeE7k3a9LebHzyKv/bTQHAIDX1J50eNnIYc4EyouNg3UnjeYAAPCalJHxRnMmUF5sROBMGQAArrpqrN9ozgTKi41xFw83mgMAwGsK/7PCaM4EyosN//BYozkAALzm94dDRnMmUF5s/J+rxhjNAQDgNf7hw4zmTKC82Pi49oTRHAAAXnP3nIlGcyZQXmy8/0m90RwAAF6TOynZaM4EyouNk82tRnMAAHhNJP4iT3mxEWo+YzQHAIDXlO6vM5ozgfJiw+dztkOm0xwAAN4TeaueUV5sXDU20WgOAACvyZ3o8J4XhzkTKC82Trc5uxzkNAcAgNfMnDRaoxLsH4MelTBMMyeNdmlElBdbWz9ydv3OaQ4AAK+JjvLpR1+5yjbzo69cpego926hoLzYONHSZjQHAIAXzcsK6MnbpyktMa7b8bTEOD15+zTNywq4Op4YV3+ax8TFROlUa7ujHAAAQ9m8rIBumJyqF0s/0cH6Jo1PStCi3AmKHYTPQMqLjcCoeB0/1f/quYFR7m0DDgDAYCguD2rlGx+quqGl69gz2w5o5S1Xuj7zwpSBjdmfc3bntNMcAABeVFweVP6GPd2KiyRVN7Qof8MeFZcHXR0P5cVGk8N7WZzmAADwmrZ2S8s2f2CbWbb5A7W1s85LRKhpaDaaAwDAa3bsr9PxJvttcI43tWoHK+xGhmYHN+sOJAcAgNeUHqg1mjOB8mLj6nGjjOYAAPAep+u3DLF1XtauXauMjAzFx8crOztb27Zt6zO7efNmzZ07V5dccokSExOVm5urN998041h9jD7Moc37DrMAQDgNTMykozmTAh7edm0aZMefPBBLV++XGVlZZozZ47mz5+vqqqqXvNbt27V3LlzVVRUpN27d+uLX/yiFixYoLKysnAPtYeZE/tfEvnihGGaOdG9JZEBAHBTlMPNh53mTAh7eVm9erWWLFmiu+66S1OmTNGaNWuUnp6udevW9Zpfs2aNvve97+nzn/+8LrvsMv3TP/2TLrvsMm3ZsiXcQ+3ByZLIhS4viQwAgJtqT7b0HxpAzoSwlpfTp09r9+7dysvL63Y8Ly9P27dvd/Q92tvb1djYqKSk3qejWlpa1NDQ0O0FAADMSL4orv/QAHImhLW81NbWqq2tTampqd2Op6amqrq62tH3+OlPf6qTJ0/q1ltv7fXrhYWF8vv9Xa/09PTzHncnJ8+2F7j8bDsAAG5qb3P2Gec0Z4IrN+z6zroOZllWj2O9efnll7Vy5Upt2rRJKSkpvWYKCgoUCoW6XocOHTIyZknacaD/Z9uPNbVqxwF2lQYADE2/+8TZZ5zTnAlh3dsoOTlZ0dHRPWZZampqeszGnG3Tpk1asmSJXnnlFd1444195uLi4hQXF56pqlKHC+6U7q9jiwAAwBB1gT0qHRsbq+zsbJWUlHQ7XlJSolmzZvX5vpdffll33HGHXnrpJd18883hHKItS86mwJzmAADwmtxJzp6odZozIey7Si9dulSLFi3S9OnTlZubq6efflpVVVXKz8+X1HHZ59NPP9ULL7wgqaO4LF68WD/72c80c+bMrlmb4cOHy+/3h3u43Ywabv+Y9EBzAAB4TeeyIXa3Ubi9bEjY73lZuHCh1qxZo8cee0zXXnuttm7dqqKiIo0fP16SFAwGu6358tRTT+nMmTP69re/rUAg0PV64IEHwj3UHpISYo3mAADwmkhcNsRnWdaQuubR0NAgv9+vUCikxMTE8/pez207oB/8x75+c/948xQtmTPxvH4WAACRrLg8qJVvVKj6M5sRB/zxWrEgU/OyAuf9/Qfy+R32y0ZeluTwmXWnOQAAvGpeVkBzM9O0s7JeNY3NShkZr5yMpEFZqJXyYiMtMd5oDgAAL4uO8rl6Y25f2FXaxlVjnd0g7DQHAADOH+XFxuPF/d/vMpAcAAA4f5QXG5/UNRnNAQCA80d5sTE+KcFoDgAAnD/Ki425k+23MBhoDgAAnD/Ki436U6eN5gAAwPmjvNioP+mwvDjMAQCA80d5scEidQAARB7Kiw0WqQMAIPJQXmxcmz7KaA4AAJw/youNDTs+MZoDAADnj/Ji4/1PjhnNAQCA88fGjDZGxEYbzQEA4GVt7Ra7Ske6r0wbp9f2HnGUAwBgKCsuD2rlGx+quqGl61haYpxW3nKl5mUFXB0Ll41szPpccr+zKiPiojXrc8kujQgAAPcVlweVv2FPt+IiSdUNLcrfsEfF5UFXx0N5sREd5dPtMy+1zdw+49JBmTIDAMANbe2Wlm3+wDazbPMHamu3XBoR5cVWW7ulTbsO22b+dddhV//BAABw0479dTre1GqbOd7Uqh3761waEeXF1o4D/f+DHWtq1Y4D7v2DAQDgpu0Hao3mTKC82Ch12CKd5gAA8JpPj50ymjOB8mLL6eUgLhsBAIaoCPwopLzYyJ3o7CkipzkAALxmzMXDjeZMoLzYmDlptEYlDLPNjEoYppmTRrs0IgAA3DXb4XIgTnMmUF5sREf59KOvXGWb+dFXruJRaQDAkDVzYv+/yF+cMEwzJ7r3izzlpR/zsgJ68vZpSkuM63Y8LTFOT94+zfVVBQEAcJOTX+QLXf5F3mdZ1pC627ShoUF+v1+hUEiJiYnGvm+k7OcAAMBg6NgeoELVDc1dxwL+eK1YkGnkF/mBfH5TXgAAgCPh/EV+IJ/fbMwIAAAciY7yKTcCHlLhnhcAAOApzLw4xD0vAABEBsqLA8XlQa3aUqFgKDw3KQEAAOe4bNSP4vKg7t2wp1txkaTqULPu3bBHxeXBQRoZAAAXJsqLjbZ2S6u2VPS6XUPnsVVbKtTWPqQe2AIAIKJRXmzsrKzvMePyWZakYKhZOyvr3RsUAAAXOMqLjZrGvovLueQAAMD544ZdGykj443mAADwskh58taVmZe1a9cqIyND8fHxys7O1rZt22zz77zzjrKzsxUfH6+JEyfqySefdGOYPeRkJDnajConI8mlEQEAMDiKy4O67vHf6BvP7NAD/7JX33hmh657/DeD8uBK2MvLpk2b9OCDD2r58uUqKyvTnDlzNH/+fFVVVfWar6ys1E033aQ5c+aorKxM3//+93X//ffr1VdfDfdQzwm36gIAhrpIe/I27HsbzZgxQ9OmTdO6deu6jk2ZMkVf/vKXVVhY2CP/yCOP6I033tC+ffu6juXn5+u///u/VVpa2u/PM7m3Uen+On3jmR395l6+e2ZELJcMAIBpbe2Wrnv8N30+wOKTlOaP17uP3HBel5AG8vkd1pmX06dPa/fu3crLy+t2PC8vT9u3b+/1PaWlpT3yX/rSl7Rr1y61traGbay94YZdAMCFLhKfvA3rDbu1tbVqa2tTampqt+Opqamqrq7u9T3V1dW95s+cOaPa2loFAt1XtG1paVFLS0vXnxsaGgyNnht2AQCIxF/kXblh1+frPo1kWVaPY/3lezsuSYWFhfL7/V2v9PR0AyPukD3+YvU3Axbl68gBADAUReIv8mEtL8nJyYqOju4xy1JTU9NjdqVTWlpar/mYmBiNHt3zvpKCggKFQqGu16FDh4yNf/fBY+pv8dx2qyMHAMBQlJORpIA/Xn39Lu9Tx35/bj55G9byEhsbq+zsbJWUlHQ7XlJSolmzZvX6ntzc3B75t956S9OnT9ewYT0fW46Li1NiYmK3lymROFUGAICboqN8WrEgU5J6FJjOP69YkOnqei9hv2y0dOlSPfvss1q/fr327dunhx56SFVVVcrPz5fUMXOyePHirnx+fr4OHjyopUuXat++fVq/fr2ee+45Pfzww+Eeag+ROFUGAIDb5mUFtO72aUrzd/+8S/PHa93t0zQvK9DHO8Mj7CvsLly4UHV1dXrssccUDAaVlZWloqIijR8/XpIUDAa7rfmSkZGhoqIiPfTQQ/rlL3+pMWPG6IknntBXv/rVcA+1h86psupQc6/ruXQ+HsYidQCAoW5eVkBzM9MiYoXdsK/z4jaT67xIf16YR+q+IF3nP9VgNE4AAIaaiFnnZSiItKkyAAAudGzM6EAkTZUBAHCho7w4FB3lYwsAAAAiAOUFAAA40tZuRcRVCMoLAADoV3F5UKu2VHTb5yjgj9eKBZmu3//JDbsOtbVbKt1fp3/b+6lK99eprb+ldwEAGCI6n7w9e4PGYKhZ927Yo+LyoKvjYebFgeLyoFa+UaHqhj//o6UlxmvlLe63TQAA3NTWbmnVlope1zuTOpYRWbWlQnMz01y7hMTMSz+Ky4PK37CnW3GRpOqGZuUPQtsEAMBNOyvre8y4nC0YatbOynqXRkR5sdXWbmnZ5g9sMwWbP+ASEgBgyKoOnTKaM4HyYmPHgTodb2q1zRxratWOA3UujQgAAHfVnzxtNGcC5cXGe/9TazQHAIDXJF0UZzRnAuXFxpHjzqbAnOYAAPCatMT4/kMDyJlAebExdtRwozkAALwmJyNJAb99MQn4OxascwvlxcaszyUbzQEA4DXRUT6tWJApn6SzH4TuPLZiQaarK+1SXmzMnDhaI2KjbTMj4qI1cyJ7HgEAhq55WQGtu32a0s6agUnzx2vd7dNcX/OMRer6MSwmSjrd1vfXo+l/AIChb15WQHMz09jbKNLtrKzv91Hp402t2llZz47TAIAhLzrKFxGfd0wb2KhptF9RcKA5AABw/igvNlJGOnvsy2kOAACcP8qLjc7Hw/q6mueT+4+HAQBwoaO82Oh8PEzq/fEwyf3HwwAAuNBRXvoRaY+HAQBwoeNpIwfmZQV0w+RUvVj6iQ7WN2l8UoIW5U5QbAzdDwAAt1FeHCguD2rVlgoFQ39+qujZdyu1YkEmMy8AALiMqYN+FJcHde+GPd2KiyRVh5p174Y9Ki4PDtLIAAC4MFFebLS1W1q1pUJWL1/rPLZqS4Xa2ntLAACAcKC82NhZWd9jxuWzLEnBULN2Vta7NygAAC5wlBcbrLALAEDkobzYYIVdAAAiD+XFBivsAgAQeSgvNlhhFwCAyEN56Qcr7AIAEFlYpM6BeVkBzc1M087KetU0NitlZMelImZcAABwH+XFoegon3InjR7sYQAAcMHjshEAAPAUygsAAPAUygsAAPAUygsAAPCUsJaXY8eOadGiRfL7/fL7/Vq0aJGOHz/eZ761tVWPPPKIrrrqKo0YMUJjxozR4sWLdeTIkXAOEwAAeEhYy8ttt92mvXv3qri4WMXFxdq7d68WLVrUZ76pqUl79uzRP/7jP2rPnj3avHmzPvroI91yyy3hHCYAAPAQn2VZVji+8b59+5SZmakdO3ZoxowZkqQdO3YoNzdXf/jDH3TFFVc4+j7vv/++cnJydPDgQV166aX95hsaGuT3+xUKhZSYmHhefwcAAOCOgXx+h23mpbS0VH6/v6u4SNLMmTPl9/u1fft2x98nFArJ5/Np1KhRvX69paVFDQ0N3V4AAGDoClt5qa6uVkpKSo/jKSkpqq6udvQ9mpubtWzZMt122219trDCwsKue2r8fr/S09PPa9wAACCyDXiF3ZUrV2rVqlW2mffff1+S5PP1XD7fsqxej5+ttbVVX//619Xe3q61a9f2mSsoKNDSpUu7/hwKhXTppZcyAwMAgId0fm47uZtlwOXlO9/5jr7+9a/bZiZMmKDf//73Onr0aI+v/elPf1Jqaqrt+1tbW3XrrbeqsrJSv/nNb2yvfcXFxSkuLq7rz51/eWZgAADwnsbGRvn9ftvMgMtLcnKykpOT+83l5uYqFApp586dysnJkST97ne/UygU0qxZs/p8X2dx+fjjj/X2229r9OiB7Sc0ZswYHTp0SCNHjnQ0wzMQDQ0NSk9P16FDh7gZOIw4z+7gPLuHc+0OzrM7wnWeLctSY2OjxowZ0282bBszTpkyRfPmzdPdd9+tp556SpL0rW99S3/1V3/V7UmjyZMnq7CwUH/913+tM2fO6Gtf+5r27Nmjf//3f1dbW1vX/TFJSUmKjY3t9+dGRUVp3Lhx4flL/a/ExET+h+ECzrM7OM/u4Vy7g/PsjnCc5/5mXDqFdZ2XjRs36qqrrlJeXp7y8vJ09dVX68UXX+yW+eMf/6hQKCRJOnz4sN544w0dPnxY1157rQKBQNdrIE8oAQCAoStsMy9Sx2zJhg0bbDOfvTFnwoQJjm7UAQAAFy72NhqAuLg4rVixotsNwjCP8+wOzrN7ONfu4Dy7IxLOc9hW2AUAAAgHZl4AAICnUF4AAICnUF4AAICnUF4AAICnUF7OsnbtWmVkZCg+Pl7Z2dnatm2bbf6dd95Rdna24uPjNXHiRD355JMujdTbBnKeN2/erLlz5+qSSy5RYmKicnNz9eabb7o4Wu8a6H/Pnd577z3FxMTo2muvDe8Ah4iBnueWlhYtX75c48ePV1xcnCZNmqT169e7NFpvG+i53rhxo6655holJCQoEAjozjvvVF1dnUuj9Z6tW7dqwYIFGjNmjHw+n15//fV+3zMon4MWuvzLv/yLNWzYMOuZZ56xKioqrAceeMAaMWKEdfDgwV7zBw4csBISEqwHHnjAqqiosJ555hlr2LBh1q9//WuXR+4tAz3PDzzwgPX4449bO3futD766COroKDAGjZsmLVnzx6XR+4tAz3PnY4fP25NnDjRysvLs6655hp3Buth53Keb7nlFmvGjBlWSUmJVVlZaf3ud7+z3nvvPRdH7U0DPdfbtm2zoqKirJ/97GfWgQMHrG3btllXXnml9eUvf9nlkXtHUVGRtXz5cuvVV1+1JFmvvfaabX6wPgcpL5+Rk5Nj5efndzs2efJka9myZb3mv/e971mTJ0/uduyee+6xZs6cGbYxDgUDPc+9yczMtFatWmV6aEPKuZ7nhQsXWv/wD/9grVixgvLiwEDP83/+539afr/fqqurc2N4Q8pAz/VPfvITa+LEid2OPfHEE9a4cePCNsahxEl5GazPQS4b/a/Tp09r9+7dysvL63Y8Ly+vz60JSktLe+S/9KUvadeuXWptbQ3bWL3sXM7z2drb29XY2KikpKRwDHFIONfz/Ktf/Ur79+/XihUrwj3EIeFczvMbb7yh6dOn68c//rHGjh2ryy+/XA8//LBOnTrlxpA961zO9axZs3T48GEVFRXJsiwdPXpUv/71r3XzzTe7MeQLwmB9DoZ1ewAvqa2tVVtbm1JTU7sdT01N7doc8mzV1dW95s+cOaPa2loFAoGwjderzuU8n+2nP/2pTp48qVtvvTUcQxwSzuU8f/zxx1q2bJm2bdummBj+r8GJcznPBw4c0Lvvvqv4+Hi99tprqq2t1X333af6+nrue7FxLud61qxZ2rhxoxYuXKjm5madOXNGt9xyi37+85+7MeQLwmB9DjLzchafz9ftz5Zl9TjWX7634+huoOe508svv6yVK1dq06ZNSklJCdfwhgyn57mtrU233XabVq1apcsvv9yt4Q0ZA/nvub29XT6fTxs3blROTo5uuukmrV69Ws8//zyzLw4M5FxXVFTo/vvv16OPPqrdu3eruLhYlZWVys/Pd2OoF4zB+Bzk16v/lZycrOjo6B4Nvqampker7JSWltZrPiYmRqNHjw7bWL3sXM5zp02bNmnJkiV65ZVXdOONN4ZzmJ430PPc2NioXbt2qaysTN/5znckdXzIWpalmJgYvfXWW7rhhhtcGbuXnMt/z4FAQGPHjpXf7+86NmXKFFmWpcOHD+uyyy4L65i96lzOdWFhoWbPnq3vfve7kqSrr75aI0aM0Jw5c/TDH/6Q2XEDButzkJmX/xUbG6vs7GyVlJR0O15SUqJZs2b1+p7c3Nwe+bfeekvTp0/XsGHDwjZWLzuX8yx1zLjccccdeumll7he7cBAz3NiYqI++OAD7d27t+uVn5+vK664Qnv37tWMGTPcGrqnnMt/z7Nnz9aRI0d04sSJrmMfffSRoqKiNG7cuLCO18vO5Vw3NTUpKqr7x1x0dLSkP88O4PwM2udgWG8H9pjOx/Cee+45q6KiwnrwwQetESNGWJ988ollWZa1bNkya9GiRV35zkfEHnroIauiosJ67rnneFTagYGe55deesmKiYmxfvnLX1rBYLDrdfz48cH6K3jCQM/z2XjayJmBnufGxkZr3Lhx1te+9jXrww8/tN555x3rsssus+66667B+it4xkDP9a9+9SsrJibGWrt2rbV//37r3XfftaZPn27l5OQM1l8h4jU2NlplZWVWWVmZJclavXq1VVZW1vU4eqR8DlJezvLLX/7SGj9+vBUbG2tNmzbNeuedd7q+9s1vftO6/vrru+V/+9vfWlOnTrViY2OtCRMmWOvWrXN5xN40kPN8/fXXW5J6vL75zW+6P3CPGeh/z59FeXFuoOd537591o033mgNHz7cGjdunLV06VKrqanJ5VF700DP9RNPPGFlZmZaw4cPtwKBgPU3f/M31uHDh10etXe8/fbbtv9/Gymfgz7LYu4MAAB4B/e8AAAAT6G8AAAAT6G8AAAAT6G8AAAAT6G8AAAAT6G8AAAAT6G8AAAAT6G8AAAAT6G8AAAAT6G8AAAAT6G8AAAAT6G8AAAAT/n/1aOXPXCAIO4AAAAASUVORK5CYII=",
+ "text/plain": [
+ "<Figure size 640x480 with 1 Axes>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "plt.scatter(y_test,predictions)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 69,
+ "id": "58896901",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "<Axes: xlabel='quality_range', ylabel='Count'>"
+ ]
+ },
+ "execution_count": 69,
+ "metadata": {},
+ "output_type": "execute_result"
+ },
+ {
+ "data": {
+ "image/png": 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",
+ "text/plain": [
+ "<Figure size 640x480 with 1 Axes>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "sns.histplot((y_test-predictions),bins=50)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 70,
+ "id": "dcd711c9",
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "MAE: 0.38968582124065887\n",
+ "MSE: 0.20325428149258173\n",
+ "RMSE: 0.45083731155770784\n"
+ ]
+ }
+ ],
+ "source": [
+ "print('MAE:', metrics.mean_absolute_error(y_test, predictions))\n",
+ "print('MSE:', metrics.mean_squared_error(y_test, predictions))\n",
+ "print('RMSE:', np.sqrt(metrics.mean_squared_error(y_test, predictions)))"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 71,
+ "id": "20abd7d3",
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "R sq: 0.3315244678627578\n"
+ ]
+ }
+ ],
+ "source": [
+ "print('R sq: ',model_linear_regression.score(x_train,y_train))"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 72,
+ "id": "89952765",
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Correlation: 0.5757816147314516\n"
+ ]
+ }
+ ],
+ "source": [
+ "print('Correlation: ', math.sqrt(model_linear_regression.score(x_train,y_train)))"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 73,
+ "id": "816722dc",
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "R sq: 0.1836418852481949\n"
+ ]
+ }
+ ],
+ "source": [
+ "print('R sq: ',model_linear_regression.score(x_test,y_test))"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "e76da5e2",
+ "metadata": {},
+ "source": [
+ "## Tesnorflow Classification"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 74,
+ "id": "03a292e8",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "'2.16.1'"
+ ]
+ },
+ "execution_count": 74,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "tf.__version__"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 75,
+ "id": "7cbe7fb6",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "(1187, 10)"
+ ]
+ },
+ "execution_count": 75,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "X_train.shape"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 76,
+ "id": "aa982d3b",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# Define the Tensor flow Neural Network with Inputlayer, 2x Hiddenlayer and one Outputlayer\n",
+ "\n",
+ "model = Sequential()\n",
+ "model.add(Dense(units=10,activation='relu')) \n",
+ "model.add(Dense(units=8,activation='relu')) #Hiddenlayer\n",
+ "model.add(Dense(units=5,activation='relu')) #Hiddenlayer\n",
+ "\n",
+ "model.add(Dense(units=1,activation='sigmoid')) #Outputlayer 1 Target\n",
+ "\n",
+ "# For a binary classification Problem\n",
+ "model.compile(loss='binary_crossentropy', optimizer='adam')"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 77,
+ "id": "acd211ed",
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Epoch 1/7\n",
+ "\u001b[1m38/38\u001b[0m \u001b[32mâ”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 4ms/step - loss: 0.7019 - val_loss: 0.6897\n",
+ "Epoch 2/7\n",
+ "\u001b[1m38/38\u001b[0m \u001b[32mâ”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 2ms/step - loss: 0.6836 - val_loss: 0.6764\n",
+ "Epoch 3/7\n",
+ "\u001b[1m38/38\u001b[0m \u001b[32mâ”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 1ms/step - loss: 0.6592 - val_loss: 0.6509\n",
+ "Epoch 4/7\n",
+ "\u001b[1m38/38\u001b[0m \u001b[32mâ”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 1ms/step - loss: 0.6171 - val_loss: 0.6253\n",
+ "Epoch 5/7\n",
+ "\u001b[1m38/38\u001b[0m \u001b[32mâ”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 1ms/step - loss: 0.5811 - val_loss: 0.6078\n",
+ "Epoch 6/7\n",
+ "\u001b[1m38/38\u001b[0m \u001b[32mâ”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 1ms/step - loss: 0.5387 - val_loss: 0.6024\n",
+ "Epoch 7/7\n",
+ "\u001b[1m38/38\u001b[0m \u001b[32mâ”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 1ms/step - loss: 0.5137 - val_loss: 0.6025\n"
+ ]
+ },
+ {
+ "data": {
+ "text/plain": [
+ "<keras.src.callbacks.history.History at 0x263690e8190>"
+ ]
+ },
+ "execution_count": 77,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "model.fit(x=X_train, \n",
+ " y=y_train, \n",
+ " epochs=7,\n",
+ " validation_data=(X_test, y_test), verbose=1\n",
+ " )"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 78,
+ "id": "5b50f459",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "<Axes: >"
+ ]
+ },
+ "execution_count": 78,
+ "metadata": {},
+ "output_type": "execute_result"
+ },
+ {
+ "data": {
+ "image/png": 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",
+ "text/plain": [
+ "<Figure size 640x480 with 1 Axes>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "#model.history.history\n",
+ "model_loss = pd.DataFrame(model.history.history)\n",
+ "# Create a plot to compare the performance on the training dataset to the loss on the validation dataset\n",
+ "model_loss.plot()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 79,
+ "id": "2bd1eefc",
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "\u001b[1m10/10\u001b[0m \u001b[32mâ”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 3ms/step \n",
+ "\u001b[1m38/38\u001b[0m \u001b[32mâ”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”â”\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 844us/step\n"
+ ]
+ }
+ ],
+ "source": [
+ "#Vorhersagen bestimmen\n",
+ "predictions = (model.predict(X_test) > 0.5).astype(\"int32\")\n",
+ "prediction = (model.predict(X_train) > 0.5).astype(\"int32\")"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 80,
+ "id": "90bd72c9",
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Trainingsdaten:\n",
+ " precision recall f1-score support\n",
+ "\n",
+ " 0 0.72 0.75 0.73 534\n",
+ " 1 0.79 0.76 0.77 653\n",
+ "\n",
+ " accuracy 0.76 1187\n",
+ " macro avg 0.75 0.75 0.75 1187\n",
+ "weighted avg 0.76 0.76 0.76 1187\n",
+ "\n",
+ "Testdaten:\n",
+ " precision recall f1-score support\n",
+ "\n",
+ " 0 0.65 0.68 0.66 139\n",
+ " 1 0.71 0.67 0.69 158\n",
+ "\n",
+ " accuracy 0.68 297\n",
+ " macro avg 0.68 0.68 0.68 297\n",
+ "weighted avg 0.68 0.68 0.68 297\n",
+ "\n"
+ ]
+ }
+ ],
+ "source": [
+ "# Klassifikations Report\n",
+ "print(\"Trainingsdaten:\")\n",
+ "print(classification_report(y_train,prediction))\n",
+ "print(\"Testdaten:\")\n",
+ "print(classification_report(y_test,predictions))"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 81,
+ "id": "5a7546ed",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "Text(0.5, 47.7222222222222, 'Predicted label')"
+ ]
+ },
+ "execution_count": 81,
+ "metadata": {},
+ "output_type": "execute_result"
+ },
+ {
+ "data": {
+ "image/png": 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",
+ "text/plain": [
+ "<Figure size 1000x700 with 2 Axes>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "# Confusion-Matrix Testdaten\n",
+ "cm = confusion_matrix(y_test,predictions)\n",
+ "df_cm = pd.DataFrame(cm, index=['worse wine','better wine'], columns=['worse wine', 'better wine'],)\n",
+ "fig = plt.figure(figsize=[10,7])\n",
+ "heatmap = sns.heatmap(df_cm, annot=True, fmt=\"d\")\n",
+ "heatmap.yaxis.set_ticklabels(heatmap.yaxis.get_ticklabels(), rotation=0, ha='right', fontsize=14)\n",
+ "heatmap.xaxis.set_ticklabels(heatmap.xaxis.get_ticklabels(), rotation=45, ha='right', fontsize=14)\n",
+ "plt.ylabel('True label')\n",
+ "plt.xlabel('Predicted label')"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 82,
+ "id": "01636bf7",
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "True Negatives: 95\n",
+ "False Positives: 44\n",
+ "False Negatives: 52\n",
+ "True Positives: 106\n",
+ "Recall: 0.6708860759493671\n",
+ "Precision: 0.7066666666666667\n"
+ ]
+ }
+ ],
+ "source": [
+ "# Confusion Matrix\n",
+ "tn, fp, fn, tp = cm.ravel()\n",
+ "recall = tp/(fn+tp)\n",
+ "precision = tp/(tp+fp)\n",
+ "print(\"True Negatives: \" + str(tn))\n",
+ "print(\"False Positives: \" + str(fp))\n",
+ "print(\"False Negatives: \" + str(fn))\n",
+ "print(\"True Positives: \" + str(tp))\n",
+ "print(\"Recall: \" + str(recall))\n",
+ "print(\"Precision: \" + str(precision))"
+ ]
+ }
+ ],
+ "metadata": {
+ "interpreter": {
+ "hash": "aab7ff84f4433dd8b68de441cd3c658d57659112bcb62d3bd6aa325045009f13"
+ },
+ "kernelspec": {
+ "display_name": "Python 3 (ipykernel)",
+ "language": "python",
+ "name": "python3"
+ },
+ "language_info": {
+ "codemirror_mode": {
+ "name": "ipython",
+ "version": 3
+ },
+ "file_extension": ".py",
+ "mimetype": "text/x-python",
+ "name": "python",
+ "nbconvert_exporter": "python",
+ "pygments_lexer": "ipython3",
+ "version": "3.11.5"
+ }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}