DecisionTrees.ipynb 574 KB
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{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
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    "# Decision Trees"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "In this activity we will introduce the concept of decision tree classifiers and discuss their properties."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Contents"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "* Introduction\n",
    "* Wine Data\n",
    "* Decision Trees\n",
    "* Overfitting\n",
    "* Exercises"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Introduction"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
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    "The advantages and disadvantages of decision trees are:\n",
    "* Advantages\n",
    "    * They are easy to interpret and visualize. You ask a series of questions, and the answers to those \n",
    "      questions leads to the classification of the target variables.\n",
    "    * They can be used for classification and regression, though we only consider classification here.\n",
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    "    * The algorithm can easily deal with categorical and continuous feature variables.\n",
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    "    * Decision trees can easily capture nonlinear patterns.\n",
    "    * They require less data preprocessing from the user, for example, there is no need to normalize columns.\n",
    "    * They can be used for feature engineering such as predicting missing values, suitable for variable selection.\n",
    "* Disadvantages\n",
    "    * Decision trees are sensitive to noisy data, and can easily overfit noisy data.\n",
    "    * A small variance in data can result in significantly different decision tree. This can be reduced by \n",
    "      running an ensemble of decision trees (random forests), and using bagging and boosting algorithms.\n",
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    "    * Decision trees are biased with imbalanced datasets, where there is only a small proportion of samples in a \n",
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    "      particular category. So it is recommended to balance the dataset before creating the decision tree.\n",
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    "\n",
    "First we introduce the necessary libraries."
   ]
  },
  {
   "cell_type": "code",
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   "execution_count": 1,
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   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "from sklearn.tree import DecisionTreeClassifier, plot_tree\n",
    "from sklearn.ensemble import BaggingClassifier, RandomForestClassifier\n",
    "from sklearn.model_selection import train_test_split\n",
    "from sklearn.metrics import confusion_matrix, accuracy_score"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
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    "We also define some of our own functions to use for displaying the results of the methods. To view the explanation and syntax for these functions, use `help()`."
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   ]
  },
  {
   "cell_type": "code",
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   "execution_count": 2,
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   "metadata": {},
   "outputs": [],
   "source": [
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    "from logitplots import plt_confusion_matrix, plt_decision_boundaries, plt_correlation_matrix"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Wine Data"
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   ]
  },
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   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "For this activity we use the Wine Classification dataset from the UCI Machine Learning archive (https://archive.ics.uci.edu/ml/datasets/Wine). This is an analysis from 1991 of 178 different wines from a region of Italy. The analysis considers three cultivars (grape varieties) and analyses 13 chemical and physical properties of the wines. These properties are:\n",
    "* Alcohol: alcohol content, reported in units of ABV (alcohol by volume).\n",
    "* Malic acid: one of the principal organic acids found in wine.\n",
    "* Ash: the inorganic matter left after evaporation and incineration.\n",
    "* Alcalinity [sic] of ash: the alkalinity of ash determines how basic (as opposed to acidic) the ash in a wine is.\n",
    "* Magnesium: magnesium is a metal that affects the flavor of wine.\n",
    "* Total phenols: Phenols are chemicals that affect the taste, color, and mouthfeel (i.e., texture) of wine.\n",
    "* Flavoids [sic]: flavonoids are a type of phenol.\n",
    "* Nonflavoid [sic] phenols: nonflavonoids are another type of phenol.\n",
    "* Proanthocyanins [sic]: proanthocyanidins are yet another type of phenol.\n",
    "* Color intensity: the color intensity of a wine: i.e., how dark it is.\n",
    "* Hue: the hue of a wine, which is typically determined by the color of the cultivar used.\n",
    "* OD280/OD315 of diluted wines: protein content measurements.\n",
    "* Proline: an amino acid present in wines.\n",
    "\n",
    "We first read in the data set, and give appropriate names to the columns of the dataframe. The first column is the classification (cultivar) of that wine."
   ]
  },
  {
   "cell_type": "code",
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   "execution_count": 3,
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   "metadata": {},
   "outputs": [
    {
     "data": {
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       "\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Class</th>\n",
       "      <th>Alcohol</th>\n",
       "      <th>MalicAcid</th>\n",
       "      <th>Ash</th>\n",
       "      <th>Alcalinity</th>\n",
       "      <th>Mg</th>\n",
       "      <th>Phenols</th>\n",
       "      <th>Flavanoids</th>\n",
       "      <th>Nonflavanoids</th>\n",
       "      <th>Proanthocyanins</th>\n",
       "      <th>Colour</th>\n",
       "      <th>Hue</th>\n",
       "      <th>ProteinConcentration</th>\n",
       "      <th>Proline</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
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       "      <th>0</th>\n",
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       "      <td>1</td>\n",
       "      <td>14.23</td>\n",
       "      <td>1.71</td>\n",
       "      <td>2.43</td>\n",
       "      <td>15.6</td>\n",
       "      <td>127</td>\n",
       "      <td>2.80</td>\n",
       "      <td>3.06</td>\n",
       "      <td>0.28</td>\n",
       "      <td>2.29</td>\n",
       "      <td>5.64</td>\n",
       "      <td>1.04</td>\n",
       "      <td>3.92</td>\n",
       "      <td>1065</td>\n",
       "    </tr>\n",
       "    <tr>\n",
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       "      <th>1</th>\n",
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       "      <td>1</td>\n",
       "      <td>13.20</td>\n",
       "      <td>1.78</td>\n",
       "      <td>2.14</td>\n",
       "      <td>11.2</td>\n",
       "      <td>100</td>\n",
       "      <td>2.65</td>\n",
       "      <td>2.76</td>\n",
       "      <td>0.26</td>\n",
       "      <td>1.28</td>\n",
       "      <td>4.38</td>\n",
       "      <td>1.05</td>\n",
       "      <td>3.40</td>\n",
       "      <td>1050</td>\n",
       "    </tr>\n",
       "    <tr>\n",
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       "      <th>2</th>\n",
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       "      <td>1</td>\n",
       "      <td>13.16</td>\n",
       "      <td>2.36</td>\n",
       "      <td>2.67</td>\n",
       "      <td>18.6</td>\n",
       "      <td>101</td>\n",
       "      <td>2.80</td>\n",
       "      <td>3.24</td>\n",
       "      <td>0.30</td>\n",
       "      <td>2.81</td>\n",
       "      <td>5.68</td>\n",
       "      <td>1.03</td>\n",
       "      <td>3.17</td>\n",
       "      <td>1185</td>\n",
       "    </tr>\n",
       "    <tr>\n",
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       "      <th>3</th>\n",
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       "      <td>1</td>\n",
       "      <td>14.37</td>\n",
       "      <td>1.95</td>\n",
       "      <td>2.50</td>\n",
       "      <td>16.8</td>\n",
       "      <td>113</td>\n",
       "      <td>3.85</td>\n",
       "      <td>3.49</td>\n",
       "      <td>0.24</td>\n",
       "      <td>2.18</td>\n",
       "      <td>7.80</td>\n",
       "      <td>0.86</td>\n",
       "      <td>3.45</td>\n",
       "      <td>1480</td>\n",
       "    </tr>\n",
       "    <tr>\n",
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       "      <th>4</th>\n",
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       "      <td>1</td>\n",
       "      <td>13.24</td>\n",
       "      <td>2.59</td>\n",
       "      <td>2.87</td>\n",
       "      <td>21.0</td>\n",
       "      <td>118</td>\n",
       "      <td>2.80</td>\n",
       "      <td>2.69</td>\n",
       "      <td>0.39</td>\n",
       "      <td>1.82</td>\n",
       "      <td>4.32</td>\n",
       "      <td>1.04</td>\n",
       "      <td>2.93</td>\n",
       "      <td>735</td>\n",
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       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Class  Alcohol  MalicAcid   Ash  Alcalinity   Mg  Phenols  Flavanoids  \\\n",
       "0      1    14.23       1.71  2.43        15.6  127     2.80        3.06   \n",
       "1      1    13.20       1.78  2.14        11.2  100     2.65        2.76   \n",
       "2      1    13.16       2.36  2.67        18.6  101     2.80        3.24   \n",
       "3      1    14.37       1.95  2.50        16.8  113     3.85        3.49   \n",
       "4      1    13.24       2.59  2.87        21.0  118     2.80        2.69   \n",
       "\n",
       "   Nonflavanoids  Proanthocyanins  Colour   Hue  ProteinConcentration  Proline  \n",
       "0           0.28             2.29    5.64  1.04                  3.92     1065  \n",
       "1           0.26             1.28    4.38  1.05                  3.40     1050  \n",
       "2           0.30             2.81    5.68  1.03                  3.17     1185  \n",
       "3           0.24             2.18    7.80  0.86                  3.45     1480  \n",
       "4           0.39             1.82    4.32  1.04                  2.93      735  "
      ]
     },
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     "execution_count": 3,
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     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
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    "df = pd.read_csv(\"wine_data.csv\", header = None,\n",
    "                 names = ['Class','Alcohol','MalicAcid','Ash','Alcalinity','Mg',\n",
    "                            'Phenols','Flavanoids','Nonflavanoids','Proanthocyanins',\n",
    "                            'Colour','Hue','ProteinConcentration','Proline'])\n",
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    "df.head() # display the first few rows of the dataframe"
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   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
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    "### EDA"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
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    "Before attempting any modelling, we undertake some exploratory data analysis. First step is to check whether there are any missing values. These will be indicated by the type for that column being an `object`. In this case there are only integer and floating point values, which suggests there are no missing values."
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   ]
  },
  {
   "cell_type": "code",
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   "execution_count": 4,
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   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Class                     int64\n",
       "Alcohol                 float64\n",
       "MalicAcid               float64\n",
       "Ash                     float64\n",
       "Alcalinity              float64\n",
       "Mg                        int64\n",
       "Phenols                 float64\n",
       "Flavanoids              float64\n",
       "Nonflavanoids           float64\n",
       "Proanthocyanins         float64\n",
       "Colour                  float64\n",
       "Hue                     float64\n",
       "ProteinConcentration    float64\n",
       "Proline                   int64\n",
       "dtype: object"
      ]
     },
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     "execution_count": 4,
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     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.dtypes # check for missing data, which would be indicated by type being an object"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
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    "We can confirm this by checking if any values of the dataframe are null (NaN). The result is false, so no missing values."
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   ]
  },
  {
   "cell_type": "code",
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   "execution_count": 5,
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   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "False"
      ]
     },
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     "execution_count": 5,
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     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
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    "df.isnull().values.any() # check if there are any True values for the test isnull on the dataframe"
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   ]
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   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Missing values could also be specified by a very large positive or negative number. As a further check we look at the descriptive statistics, to see if there is anything unusual. Again everything looks clean."
   ]
  },
  {
   "cell_type": "code",
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   "execution_count": 6,
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   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Class</th>\n",
       "      <th>Alcohol</th>\n",
       "      <th>MalicAcid</th>\n",
       "      <th>Ash</th>\n",
       "      <th>Alcalinity</th>\n",
       "      <th>Mg</th>\n",
       "      <th>Phenols</th>\n",
       "      <th>Flavanoids</th>\n",
       "      <th>Nonflavanoids</th>\n",
       "      <th>Proanthocyanins</th>\n",
       "      <th>Colour</th>\n",
       "      <th>Hue</th>\n",
       "      <th>ProteinConcentration</th>\n",
       "      <th>Proline</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
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       "      <th>count</th>\n",
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       "      <td>178.000000</td>\n",
       "      <td>178.000000</td>\n",
       "      <td>178.000000</td>\n",
       "      <td>178.000000</td>\n",
       "      <td>178.000000</td>\n",
       "      <td>178.000000</td>\n",
       "      <td>178.000000</td>\n",
       "      <td>178.000000</td>\n",
       "      <td>178.000000</td>\n",
       "      <td>178.000000</td>\n",
       "      <td>178.000000</td>\n",
       "      <td>178.000000</td>\n",
       "      <td>178.000000</td>\n",
       "      <td>178.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
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       "      <th>mean</th>\n",
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       "      <td>1.938202</td>\n",
       "      <td>13.000618</td>\n",
       "      <td>2.336348</td>\n",
       "      <td>2.366517</td>\n",
       "      <td>19.494944</td>\n",
       "      <td>99.741573</td>\n",
       "      <td>2.295112</td>\n",
       "      <td>2.029270</td>\n",
       "      <td>0.361854</td>\n",
       "      <td>1.590899</td>\n",
       "      <td>5.058090</td>\n",
       "      <td>0.957449</td>\n",
       "      <td>2.611685</td>\n",
       "      <td>746.893258</td>\n",
       "    </tr>\n",
       "    <tr>\n",
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       "      <th>std</th>\n",
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       "      <td>0.775035</td>\n",
       "      <td>0.811827</td>\n",
       "      <td>1.117146</td>\n",
       "      <td>0.274344</td>\n",
       "      <td>3.339564</td>\n",
       "      <td>14.282484</td>\n",
       "      <td>0.625851</td>\n",
       "      <td>0.998859</td>\n",
       "      <td>0.124453</td>\n",
       "      <td>0.572359</td>\n",
       "      <td>2.318286</td>\n",
       "      <td>0.228572</td>\n",
       "      <td>0.709990</td>\n",
       "      <td>314.907474</td>\n",
       "    </tr>\n",
       "    <tr>\n",
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       "      <th>min</th>\n",
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       "      <td>1.000000</td>\n",
       "      <td>11.030000</td>\n",
       "      <td>0.740000</td>\n",
       "      <td>1.360000</td>\n",
       "      <td>10.600000</td>\n",
       "      <td>70.000000</td>\n",
       "      <td>0.980000</td>\n",
       "      <td>0.340000</td>\n",
       "      <td>0.130000</td>\n",
       "      <td>0.410000</td>\n",
       "      <td>1.280000</td>\n",
       "      <td>0.480000</td>\n",
       "      <td>1.270000</td>\n",
       "      <td>278.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
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       "      <th>25%</th>\n",
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       "      <td>1.000000</td>\n",
       "      <td>12.362500</td>\n",
       "      <td>1.602500</td>\n",
       "      <td>2.210000</td>\n",
       "      <td>17.200000</td>\n",
       "      <td>88.000000</td>\n",
       "      <td>1.742500</td>\n",
       "      <td>1.205000</td>\n",
       "      <td>0.270000</td>\n",
       "      <td>1.250000</td>\n",
       "      <td>3.220000</td>\n",
       "      <td>0.782500</td>\n",
       "      <td>1.937500</td>\n",
       "      <td>500.500000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
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       "      <th>50%</th>\n",
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       "      <td>2.000000</td>\n",
       "      <td>13.050000</td>\n",
       "      <td>1.865000</td>\n",
       "      <td>2.360000</td>\n",
       "      <td>19.500000</td>\n",
       "      <td>98.000000</td>\n",
       "      <td>2.355000</td>\n",
       "      <td>2.135000</td>\n",
       "      <td>0.340000</td>\n",
       "      <td>1.555000</td>\n",
       "      <td>4.690000</td>\n",
       "      <td>0.965000</td>\n",
       "      <td>2.780000</td>\n",
       "      <td>673.500000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
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       "      <th>75%</th>\n",
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       "      <td>3.000000</td>\n",
       "      <td>13.677500</td>\n",
       "      <td>3.082500</td>\n",
       "      <td>2.557500</td>\n",
       "      <td>21.500000</td>\n",
       "      <td>107.000000</td>\n",
       "      <td>2.800000</td>\n",
       "      <td>2.875000</td>\n",
       "      <td>0.437500</td>\n",
       "      <td>1.950000</td>\n",
       "      <td>6.200000</td>\n",
       "      <td>1.120000</td>\n",
       "      <td>3.170000</td>\n",
       "      <td>985.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
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       "      <th>max</th>\n",
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       "      <td>3.000000</td>\n",
       "      <td>14.830000</td>\n",
       "      <td>5.800000</td>\n",
       "      <td>3.230000</td>\n",
       "      <td>30.000000</td>\n",
       "      <td>162.000000</td>\n",
       "      <td>3.880000</td>\n",
       "      <td>5.080000</td>\n",
       "      <td>0.660000</td>\n",
       "      <td>3.580000</td>\n",
       "      <td>13.000000</td>\n",
       "      <td>1.710000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>1680.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            Class     Alcohol   MalicAcid         Ash  Alcalinity          Mg  \\\n",
       "count  178.000000  178.000000  178.000000  178.000000  178.000000  178.000000   \n",
       "mean     1.938202   13.000618    2.336348    2.366517   19.494944   99.741573   \n",
       "std      0.775035    0.811827    1.117146    0.274344    3.339564   14.282484   \n",
       "min      1.000000   11.030000    0.740000    1.360000   10.600000   70.000000   \n",
       "25%      1.000000   12.362500    1.602500    2.210000   17.200000   88.000000   \n",
       "50%      2.000000   13.050000    1.865000    2.360000   19.500000   98.000000   \n",
       "75%      3.000000   13.677500    3.082500    2.557500   21.500000  107.000000   \n",
       "max      3.000000   14.830000    5.800000    3.230000   30.000000  162.000000   \n",
       "\n",
       "          Phenols  Flavanoids  Nonflavanoids  Proanthocyanins      Colour  \\\n",
       "count  178.000000  178.000000     178.000000       178.000000  178.000000   \n",
       "mean     2.295112    2.029270       0.361854         1.590899    5.058090   \n",
       "std      0.625851    0.998859       0.124453         0.572359    2.318286   \n",
       "min      0.980000    0.340000       0.130000         0.410000    1.280000   \n",
       "25%      1.742500    1.205000       0.270000         1.250000    3.220000   \n",
       "50%      2.355000    2.135000       0.340000         1.555000    4.690000   \n",
       "75%      2.800000    2.875000       0.437500         1.950000    6.200000   \n",
       "max      3.880000    5.080000       0.660000         3.580000   13.000000   \n",
       "\n",
       "              Hue  ProteinConcentration      Proline  \n",
       "count  178.000000            178.000000   178.000000  \n",
       "mean     0.957449              2.611685   746.893258  \n",
       "std      0.228572              0.709990   314.907474  \n",
       "min      0.480000              1.270000   278.000000  \n",
       "25%      0.782500              1.937500   500.500000  \n",
       "50%      0.965000              2.780000   673.500000  \n",
       "75%      1.120000              3.170000   985.000000  \n",
       "max      1.710000              4.000000  1680.000000  "
      ]
     },
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     "execution_count": 6,
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     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
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    "df.describe() # display the descriptive statistics for numerical values of the dataframe"
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   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
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    "Finally we investigate the correlation matrix, to try to determine any relationships between the feature variables. Since the target variable is a classification, correlation is not relevant for this variable. The matrix shows that there is a significant correlation between `Flavanoids`, `ProteinConcentration` and `Phenols`. Therefore using any combination of these three features in a model may cause multicollinearity problems."
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   ]
  },
  {
   "cell_type": "code",
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   "execution_count": 7,
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   "metadata": {},
   "outputs": [
    {
     "data": {
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      "image/png": 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\n",
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      "text/plain": [
       "<Figure size 720x576 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
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    "corrs = df.drop('Class', axis = 1).corr() # calculate the correlation table, first dropping the Class column\n",
    "plt_correlation_matrix(corrs) # plot the correlation matrix"
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   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
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    "## Decision Trees"
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   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
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    "A Decision Tree is comprised of *nodes*, *branches* and *leafs*. A *node* on the tree is a point at which a branching decision is made on a particular group of samples of the original population. This branching decision then produces two child nodes, which could be another node or a *leaf node*. A *leaf node* or *leaf* is a node which does not have any child nodes. For example, if the samples for a node only have a single target value, then there is no need to branch that population further and the tree terminates at that node. The *depth* of the decision tree corresponds to how many branches have been traversed from the original training set. The original training set has `depth=0`, and the nodes immediately below that have `depth=1`. As we go deeper down the tree the number of nodes increases. Without any leaves, the number of nodes at `depth=n` will be $2^n$.\n",
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    "\n",
    "To understand how the Decision Tree Classifier makes a branching decision at a particular node, we need to introduce the `gini` score for a node. This measures the impurity of the target samples at that node. If `gini=0` then we have only one target value at that node, and the node is *pure*. Therefore this node becomes a *leaf* and the decision tree terminates. If there is a mixture of target samples at that node then `gini > 0` and the node is regarded as *impure*. Consider that at this node we have $m$ samples, and $n$ target values or classes. For the target value $j$, we have $m_j$ samples, and the proportion of $j$ samples is $p_j = m_j/m$. Then the `gini` score is defined as \n",
    "\n",
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    "$$ G = 1-(p_1^2+p_2^2+\\cdots+p_n^2). $$\n",
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    "\n",
    "This is always greater than or equal to zero, and is only zero if the proportion is one for one particular class, and therefore zero for all other classes.\n",
    "\n",
    "At a particular node the branching decision is now made by splitting the samples based on a threshold $t_k$ for feature $k$. If the value of feature $k$ is $v_k$, then if $v_k \\le t_k$ that sample branches to the left child node, and otherwise the sample branches to the right child node. For all features $k$ the algorithm then searches over all thresholds $t_k$, such that weighted gini score\n",
    "\n",
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    "$$ J(k,t_k) = \\frac{m_{{\\rm left}}}{m} G_{{\\rm left}} + \\frac{m_{{\\rm right}}}{m} G_{{\\rm right}}, $$\n",
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    "\n",
    "is minimized. The subscript `left` and `right` refer to the values for the left and right child nodes. This ensures the purest splitting of the sample to the two child nodes.\n",
    "\n",
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    "`Entropy` or `Information Gain` can also be used to determine the branching process, which sometimes can give differing results. Entropy for a dataset is defined as\n",
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    "\n",
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    "$$ E = -(p_1\\log_2 p_1 + p_2\\log_2 p_2 + \\cdots +p_n \\log_2 p_n). $$"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Creating modelling dataframes"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We now create the necessary dataframes to undertaken modelling using Decision Trees. We drop the classification to create a dataframe of features `X`, and use the classification to create a target dataframe `y`. These are then split into testing and training sets. For Decision Trees there is no need to preprocess the data using sorting or normalization. Do have to be carefult about balance of the labels in the datasets."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "X = df.drop('Class', axis = 1) # create a dataframe of features, by dropping the target variable\n",
    "y = df['Class'] # create a dataframe of target values\n",
    "# split the dataframes into training and testing sets\n",
    "X_train, X_test, y_train, y_test = train_test_split(X, y, random_state = 42)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
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    "We can now instantatiate and train our model. This is done in the same way as for other `sklearn` models."
   ]
  },
  {
   "cell_type": "code",
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   "execution_count": 9,
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   "metadata": {},
   "outputs": [],
   "source": [
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    "# instantatiate the DTC, set random_state so results are repeatable\n",
    "df_dtc = DecisionTreeClassifier(random_state = 42) \n",
    "df_dtc = df_dtc.fit(X_train, y_train) # train the model using the training set"
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   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
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    "We can now investigate the Decision Tree by using the `plot_tree` function. At each node, which is not a leaf, the plot shows the branching criteria, the gini score, the number of samples at that node, the number of samples for each target value and the class with the highest proportion. The nodes are then coloured in proportion to values for each class. For leaf nodes the same values are shown, without the branching criteria. In this case leaf nodes have gini=0 and are coloured purely with the chosen colour for that class. In the example below, Class 1 is coloured orange, Class 2 is green and Class 3 is purple. For the Wine Classification problem the only features that are used are `Alcohol` , `Ash`, `Flavanoids`, `Colour` and `Proline`. \n",
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    "\n",
    "Consider the classification at the root node (depth=0). In this case, splitting `Colour` at the value of 3.82 largely divides Class 2 from the other two classes. For the left child node the gini score is very low, which contributes to the minimization of $J(k,t_k)$."
   ]
  },
  {
   "cell_type": "code",
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   "execution_count": 10,
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   "metadata": {},
   "outputs": [
    {
     "data": {
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      "image/png": 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\n",
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      "text/plain": [
       "<Figure size 720x648 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize=(10,9)) # initialise the plots and axes\n",
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    "# plot the decision tree for the model df_dtc\n",
    "plot_tree(df_dtc, \n",
    " filled = True, # colour the nodes according to the classifaction\n",
    " rounded = True, # make the nodes have rounded corners\n",
    " class_names = ['Class 1', 'Class 2','Class 3'], # use these names for targets\n",
    " feature_names = X.columns # use these names for features\n",
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    " );"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The prediction process for the decision tree is very simple. For each test sample the appropriate feature is tested at each node and the tree is traversed until a leaf or the bottom of the tree is reached. The target value given for that sample is then the target value of the leaf. \n",
    "\n",
    "As this is a multinomial classification problem, we can again use the `confusion matrix` and `accuracy score` to test the accurary of the classifier. Here the Decision Tree Classifier gives a very impressive accuracy of 95.6%, with only 2 false classifications for the training set."
   ]
  },
  {
   "cell_type": "code",
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   "execution_count": 11,
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   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Decision Tree Accuracy: 0.956\n"
     ]
    },
    {
     "data": {
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      "image/png": 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xbPXy4aIlXD3+NS7b97NdbmZm7RUFmvAziyHTtwC/p/kpEcpezGhyc1IsuPTYGodWH9PmLGD63A854MYnAJj9wcccfNOTXH/A1vRbfpk6R2fWcc2YPotBaw1Y+n6tgWsyY0aLt4B0XV380QbPAudHRHMzkX4jg/o6vPX79eGBo4Yufb/HNY/w+wO/wsq9e9UvKLMCeGr8RNZbbx0GDx7E9Omz2H//YYz4nkewFVkW13ROBOa2sG2/DOrrcH7y12c59NZ/8sb7C9htzDjumDy93iFZCy4fcwH33H8T666/Ds9MeYiDR3y73iFZiSVLlnDCiWdy7z038tyzD/HHP97FlCkv1jusjqdAAwkUdbiTtUqdpnutM1rumFH077tRvcOwMt6a8wI9eg2sdxjWgsULp9dsIOv8nx/S7i/y5X/6+1wG1noaHDOzoivQQALfp2NmZrlxS8fMrOgKNHots5aOpBMkrajEGElPS2rVcxfMzKwKBRpIkGX32uERMZfkAT8rAyOAczOsz8ysa+rKMxKUaBwJsQdwfURMVrXPMzUzs6oVaUaCLFs6EySNJUk690nqAxTnJ2NmZjWXZUvnCGBz4NWIWCBpFeCwDOszM+uaCjSQIMuk81VgYkTMlzQc2BK4OMP6zMy6pgIlnSy7134LLJC0GXAy8ApwXYb1mZl1TR69BsDiSObYGQaMiohLAT9Mxsys1jx6DYB5kk4HhgM7SOoGfPZxmmZm1mVk2dI5APgYOCIiZgFrAb/KsD4zsy4pGqLdS14ya+mkiebCkvdT8TUdM7Pa80ACkLSNpKckfSBpoaQlkuZkVZ+ZWZfV0ND+JSdZdq+NAg4CXgJ6A0cCl2VYn5mZdXCZPtogIl4GukfEkoi4Btg9y/rMzLokj14Dknt0egETJZ0HzMTP7zEzqz1f0wGSWaW7A8cC84FBgB9Ab2ZWYxHR7iUvWY5eeyN9+SFwdlb1mJl1eTm0dCRdDewFzI6ITdJ1vwL2BhaSzDpzWES8X66cmrd0JE2S9GxLS63rMzOzXFzLZ6/L3w9sEhGbAi8Cp1cqJIuWzl4ZlGlmZi3JoaUTEeMkDW6ybmzJ2yeA71QqJ4uk0xPoHxGPla6UtB0wK4P6zMy6tFrMKCBpJDCyZNXoiBjdiiIOB26ptFMWSecimm9izU237Z1BnWZmXVcNkk6aYFqTZJaS9N/AYuD3lfbNIun0j4hJTVdGxKSmTTMzM6uBOj6TWdL3SS6r7BxVDIPLIumsVGZb7wzqMzOzOpC0O3Aq8PWIWFDNMVncpzNe0lFNV0o6EpiQQX1mZl1aHrNMS7oJeBzYUNI0SUeQTHfWB7hf0kRJl1cqJ4uWzonAHZIO4ZMkMwToBeyXQX1mZl1bPqPXDmpm9ZjWllPzpBMRbwHbStoR2CRdfU9EPFDruszMjLpe02mtLGckeBB4MKvyzcyseLKc8NPMzHKQ55M/28tJx8ys6Ny9ZmZmeXFLx8zM8lOglo4fqmZmZrlxS8fMrOCiQC0d5fnEuFbqsIGZmdWAalXQu3t+vd3fl6ve83DN4imnQ7d0evQaWO8QrAWLF05n0Tuv1jsMK6Nnv8/7d6gDW7xwes3KKlJLp0MnHTMzq0KBko4HEpiZWW7c0jEzKzh3r5mZWW6cdMzMLDdFSjq+pmNmZrlxS8fMrOgil1tsasJJx8ys4IrUveakY2ZWcNHglo6ZmeWkSC0dDyQwM7PcuKVjZlZw0RkGEkiaxyczPTd+okhfR0SsmHFsZmZWhSJ1r7WYdCKiT56BmJlZ2xRpIEFV13QkfU3SYenrfpLWyTYsMzPrjCpe05F0FjAE2BC4BugF3ABsl21oZmZWjY77LM7PqmYgwX7AFsDTABExQ5K73szMOojO1r22MJJnWgeApOWzDcnMzFojGtTupRJJV0uaLem5knWrSLpf0kvp/1euVE41SedWSVcAK0k6CvgbcGUVx5mZWQ4i2r9U4Vpg9ybrfgL8PSLWB/6evi+rYvdaRJwvaRdgLrAB8NOIuL+qEM3MrFOIiHGSBjdZPQwYmr7+HfAQcFq5cqq9OXQS0Juki21StUGamVn26nhNp39EzExfzwL6VzqgYveapCOBfwLfAr4DPCHp8PZEaWZmtROhdi+SRkoaX7KMbF0Mn1z7L6eals4pwBYR8S6ApFWBfwBXtyYgMzPLRi1mJIiI0cDoVh72lqQ1I2KmpDWB2ZUOqGYgwbvAvJL389J1ZmbWATSE2r200Z3AoenrQ4E/Vzqg3NxrP0pfvgw8KenPJE2nYcCzbY3QzMyKR9JNJIMG+kmaBpwFnEsywvkI4A1g/0rllOtea7wB9JV0aVQxk5mZWX7ymGU6Ig5qYdPOrSmn3ISfZ7cqIjMzq4sizUhQzdxrqwGnAl8Elm1cHxE7ZRiXmZlVqUhzr1UzkOD3wAvAOsDZwOvAUxnGZGZmnVQ1Q6ZXjYgxkk6IiIeBhyU56ZiZdRCdqnsNWJT+f6akPYEZwCrZhWRmZq3RjiHPuasm6fxSUl/gZOASYEXgpEyjMjOzquUxeq1Wqpnw8+705Rxgx2zDMTOz1irSQIJyN4deQpl5dCLi+EwiMjOzTqvc6LXxwIQyi1Vpt12HMvm5cbww5VFOPeWYeofT5Z35vxeyw54Hsu/wo5eue+HFVzj4qBP59qHHsP/hxzNpyr/rGKGV8u9PZXWcBqfVyt0c+rvcoujEunXrxm8uPofd9ziIadNm8sTj93LX3WN5/vmX6h1al7XvHrtw8Lf34YxfnL903QWXjeGHhx/C9l/dinH/+CcXXDaGa0edV8coDfz7U60iXdOp5j4da4ett9qCV155nddem8qiRYu49dY/s8/eu9U7rC5tyOZfou+KfT61ThIfzF8AwAfzF7B6v1XrEZo14d+f6uT05NCaqHnSkTRI0s2SHpF0hqSeJdv+VOv6OroBA9fgzWkzlr6fNn0mAwasUceIrDmnnfADLrhsDDvvN4LzR13FiUd/v94hGf79qVaRuteyaOlcTfLI0uOANUluJm38s3HtDOoza7db7riH044byd/vuJ5Tjx/JT//vonqHZNYpZTF6bbWIuDx9fZyk4cA4SfuUKy+tcyQwEuCKK64ot2thzJg+i0FrDVj6fq2BazJjxqw6RmTNufMvf+P0E5OBBbvttD1nnXtRfQMywL8/1SrSNZ1y9+mMb2OZPSUtGxEfAUTEDZJmAfcBy5c7sMmT6+K/ji3+RNdPjZ/Ieuutw+DBg5g+fRb77z+MEd/zCJyOZrV+q/LUM5PYestNeXLCRNYeNLDeIRn+/alWp5iRoB2j164CvgI8XFLW3yR9F+hyw4GWLFnCCSeeyb333Ej3bt249ne3MGXKi/UOq0s75axzeeqZZ3n//bnsvO9w/uuIEZx92vGce/EVLF6yhGV69eKsU30bWkfg35/qFOjeUBQVhi2kjzY4DfgC+T7aIHr08l+bHdXihdNZ9M6r9Q7DyujZ7/P4d6jjWrxwes2aJ08M+Fa78842M27PpblU7aMNnsePNjAz65A62+i1VSNiDLAoIh6OiMMBP8DNzKyDiFC7l7z40QZmZgXXUO8AWqGalk7pow1+TDJQoOKjDSSdIGlFJcZIelrSru2M18zMmgjU7iUvWT7a4PCIuFjSbsDKwAjgemBsq6M0M7NOoWLSkXQNzYzIS6/tlD00/f8ewPURMVlScQaTm5kVREOBxkxXc03n7pLXywL7kVzXqWSCpLEko95Ol9SHYnU9mpkVQkOO3WPtVU332m2l7yXdBDxaRdlHAJsDr0bEAkmrAIe1JUgzM2tZntdk2qualk5T6wOrV7HfV4GJETE/nX9tS+DiNtRnZmZlFKkLqeLoNUnzJM1tXIC7SGYoqOS3wAJJm5GMfHsFuK5d0ZqZWaFV073Wp9I+LVgcESFpGDAqIsZIOqKNZZmZWQvy6F6TdBJwJMnAsknAYY0TO7dGNS2dv1ezrhnzJJ0ODAfukdQN6FnhGDMza6WGGizlSBoIHA8MiYhNgO7AgW2JtdzzdJYFlgP6SVqZT4ZArwhUM4vgAcDBwBERMUvS54BftSVIMzNrWU7XdHoAvSUtIskN1YxibraQlvwAOBEYAEzgk6QzFxhVqeCImAVcWPJ+Kr6mY2ZWOBExXdL5wFTgQ2BsRLTpRv8Wu9ci4uKIWAf4cUR8PiLWSZfNIqJi0pG0jaSnJH0gaaGkJZLmtCVIMzNrWS2mwZE0UtL4kmVkY/lpb9cwkvsuBwDLp6OSW62aIdMNklaKiPdLKj8oIi6rcNwokj6/PwBDgO8BG7QlSDMza1lDDcYRNHlyc1PfAF6LiLcBJN0ObAvc0Np6qpnw86jGhJMG9h5wVDWFR8TLQPeIWBIR1wC7tzZAMzMrrwG1e6lgKrCNpOXS6cx2JnnOWqtV09LpLkmRPmJUUnegVxXHLZDUC5go6TxgJtUlOTMza4Wsp16LiCcl/RF4GlgMPEPLraKyqkkCfwVukbSzpJ2Bm9J1lYwgGVZ3LDAfGAR8uy1BmplZfUXEWRGxUURsEhEjIuLjtpRTTUvnNGAk8MP0/f3AlVUE+Eb68kOSx1ybmVkGijQNTjUzEjQAl6cLkrYHLgGOaW5/SZMo09qLiE3bFKmZmTWroUBPjalqwk9JWwAHAfsDrwG3l9l9rxrEZWZmVSrQ43TKzkiwAUmiOQh4B7gFUERUenpoT6B/RDzWpLztgFntC9fMzJoqUvdauYEELwA7AXtFxNci4hJgSRVlXkQya0FTc9NtZmbWRZVLOt8iGeb8oKQr05Fr1XQc9o+ISU1XpusGtylKMzNrUYPav+Sl3DQ4f4qIA4GNgAdJ5mFbXdJvJe1apsyVymzr3ZYgzcysZTncHFozFe/TiYj5EXFjROwNrEVyU1C5h7iNl/SZGQskHUkycaiZmdVQ1GDJS6seV51OgVNufh5IWkR3SDqET5LMEJJZDPZrQ4xmZtZJtCrpVCMi3gK2lbQjsEm6+p6IeKDWdZmZWb7XZNqr5kmnUUQ8SHItyMzMMlSkIdOZJR0zM8tHp7g51MzMiqFI3Wt+1ICZmeXGLR0zs4LzNR0zM8uNk46ZmeUmCnRNp0MnncULp9c7BCujZ7/P1zsEq8C/Q12DWzo10r/vRvUOwVrw1pwX6NFrYL3DsDIWL5zO27t8vd5hWAtWu//heodQFx066ZiZWWVu6ZiZWW58c6iZmeXGN4eamZk1wy0dM7OC8zUdMzPLjZOOmZnlxgMJzMwsNx5IYGZm1gwnHTOzgmuowVKJpJUk/VHSC5Kel/TVtsTq7jUzs4LL6ZrOxcBfI+I7knoBy7WlECcdM7OCa8g47UjqC+wAfB8gIhYCC9tSlrvXzMwMSSMljS9ZRpZsXgd4G7hG0jOSrpK0fFvqcdIxMyu4WlzTiYjRETGkZBldUkUPYEvgtxGxBTAf+ElbYnXSMTMruKjBUsE0YFpEPJm+/yNJEmo1Jx0zs4LLevRaRMwC3pS0YbpqZ2BKW2L1QAIzs4LL6ebQ44DfpyPXXgUOa0shTjpmZlZRREwEhrS3HCcdM7OCy3rIdC056ZiZFVxxUo6TjplZ4fnRBmZmlpsida95yLSZmeXGLR0zs4IrTjvHScfMrPB8TcfMzHLjazpmZmbNcEvHzKzgitPOcdIxMys8X9MxM7PcRIHaOk46ZmYFV6SWjgcSmJlZbtzSMTMruCINmXbSMTMruOKkHCcdM7PCK1JLx9d0MnbRqHOY/PJjPPz4nfUOxVqw265DmfzcOF6Y8iinnnJMvcPp8lY4+TRWvfVPrDz6mqXreu0wlJWvvJZ+9z1Ijw02rGN0HVNDDZa8OOlk7OYb7+DAbx9V7zCsBd26deM3F5/DXnsP50ub7cgBB+zLxhuvX++wurSPx/6FOWec8ql1S15/jbln/w+LJv2rTlFZrTjpZOyJf4zn/ffm1DsMa8HWW23BK6+8zmuvTWXRokXceuuf2Wfv3eodVpe2aNKzNMyb96l1S6a+wZJpb9Ypoo4vavBfXmqedCRtJOkvku6RtK6kayW9L+mfkjaudX1m7TFg4Bq8OW3G0vfTps9kwIA16hiRWet19e610cBlwA3AA8BfgZWBXwCjyh0oaaSk8ZLGjx49OoPQzMw6ny7d0gH6RMRdEXETsCgibo7EXSTJp0URMToihkTEkJEjR2YQmtmnzZg+i0FrDVj6fq2BazJjxqw6RmTWuWWRdLqXvL6wybZeGdRn1mZPjZ/Ieuutw+DBg+jZsyf77z+Mu+4eW++wzFqlSN1rWdync6mkFSLig4i4rHGlpPWAv2VQX4d2+ZgL2PZrW7HKqivzzJSH+NX/XcKN199W77AstWTJEk448UzuvedGunfrxrW/u4UpU16sd1hdWp8zfkrPTTenW9++rHLjH1hw3TU0zJvHCsccT7e+K9H3l+ey+JWXmXP6KZUL6yIaojj36Sg6brDRv+9G9Y7BWvDWnBfo0WtgvcOwMhYvnM7bu3y93mFYC1a7/2HVqqzha3+r3V/kN7xxe83iKcczEpiZFZxnJDAzs05HUndJz0i6u61luKVjZlZwOQ55PgF4HlixrQVk1tKRdIKkFZUYI+lpSbtmVZ+ZWVeVx+g1SWsBewJXtSfWLLvXDo+IucCuJPfnjADOzbA+M7MuqYFo91J6c366NL1Z8iLgVNo5wjrL7rXGkRB7ANdHxGRJuYyOMDPrSmrRvRYRo0lmlPkMSXsBsyNigqSh7akny5bOBEljSZLOfZL6UKxHeZuZWWI7YB9JrwM3AztJuqEtBWXZ0jkC2Bx4NSIWSFoFOCzD+szMuqSs/5qPiNOB0wHSls6PI2J4W8rKMul8FZgYEfMlDQe2BC7OsD4zsy6pA9/k/xlZdq/9FlggaTPgZOAV4LoM6zMz65JqMZCgWhHxUETs1dZYs0w6iyNJv8OAURFxKdAnw/rMzKyDy7J7bZ6k04HhwA6SugE9M6zPzKxLKtIIrSxbOgcAHwNHRMQsYC3gVxnWZ2bWJRXpIW6ZtXTSRHNhyfup+JqOmVnNecJPQNI2kp6S9IGkhZKWSJqTVX1mZl1VRLR7yUuW3WujgIOAl4DewJHAZWWPMDOzTi3TRxtExMtA94hYEhHXALtnWZ+ZWVfU1R9X3WiBpF7AREnnATPx83vMzGouz4EA7ZVlEhgBdAeOBeYDg4BvZ1ifmVmXlOfNoe2V5ei1N9KXHwJnZ1WPmVlXV6RpcGqedCRNgpbTZkRsWus6zcysGLJo6bR5Th4zM2u9It2nk0XS6Qn0j4jHSldK2g6YlUF9ZmZdWlcfSHARMLeZ9XPTbWZmVkMNEe1e8pJF0ukfEZOarkzXDc6gPjMzK4gsutdWKrOtdwb1mZl1acXpXMumpTNe0lFNV0o6EpiQQX1mZl1aV79P50TgDkmH8EmSGQL0AvbLoD4zsy6tS49ei4i3gG0l7Qhskq6+JyIeqHVdZmbWxW8ObRQRDwIPZlW+mZkVT5YTfpqZWQ66dPeamZnlq0g3hzrpmJkVnK/pmJlZborUveaHqpmZWW7c0jEzK7gida+pAwfbYQMzM6sB1aqgzdbYtt3fl/+a9Y+axVOOu9fMzAouavBfOZIGSXpQ0hRJkyWd0NZY3b1mZmaVLAZOjoinJfUBJki6PyKmtLYgJx0zs4LL+nk4ETETmJm+nifpeWAg4KRjZtbV5HlzqKTBwBbAk2053knHzKzgatHSkTQSGFmyanREjG6yzwrAbcCJEdHcE6IrctIxMyu4WrR00gQzuqXtknqSJJzfR8Ttba3Ho9fMzKwsSQLGAM9HxIXtKcstHTOzgst6IAGwHTACmCRpYrrujIi4t7UFOemYmRVc1gMJIuJRanQzq5OOmVnB5dDSqRknHTOzgivS83Q8kMDMzHLjlo6ZWcFFNNQ7hKo56ZiZFVyRHuLmpGNmVnAd+BE1n+FrOmZmlhu3dMzMCs7da2Zmlpsida856ZiZFZxvDjUzs9z45lAzM7NmuKVjZlZwvqZjZma58eg1MzPLTZFaOr6mY2ZmuXFLx8ys4Dxk2szMclOk7jUnHTOzgvNAAjMzy02RWjoeSGBmZrlxS8fMrOA8kMDMzHJTpLnXnHTMzArOLR0zM8uNBxKYmZk1wy0dM7OCK9I1Hbd0zMwKLiLavVQiaXdJ/5b0sqSftDVWt3TMzAou62s6kroDlwK7ANOApyTdGRFTWluWWzpmZlbJ1sDLEfFqRCwEbgaGtaUgJx0zs4KLGiwVDATeLHk/LV3Xah25e031DqCWJI2MiNH1jsOa5/PT8fkctWzxwunt/r6UNBIYWbJqdBY/b7d08jOy8i5WRz4/HZ/PUYYiYnREDClZShPOdGBQyfu10nWt5qRjZmaVPAWsL2kdSb2AA4E721JQR+5eMzOzDiAiFks6FrgP6A5cHRGT21KWk05+3Bfdsfn8dHw+R3UUEfcC97a3HBVpzh4zMys2X9MxM7PcOOlUQdIakm6W9IqkCZLulbSBpMGSnsuozh0kPS1psaTvZFFHZ1Knc/QjSVMkPSvp75LWzqKezqBO5+doSZMkTZT0qKQvZFGPtY6TTgWSBNwBPBQR60bEl4HTgf4ZVz0V+D5wY8b1FF4dz9EzwJCI2BT4I3BexvUVUh3Pz40R8aWI2Jzk3FyYcX1WBSedynYEFkXE5Y0rIuJfEfFI6U7pX2yPpK2TpyVtm65fU9K49K+t5yRtL6m7pGvT95MkndS00oh4PSKeBRqy/oCdQL3O0YMRsSB9+wTJvQv2WfU6P3NL3i5PVTfeW9Y8eq2yTYAJVew3G9glIj6StD5wEzAEOBi4LyLOSSfNWw7YHBgYEZsASFopi8C7kI5wjo4A/tK28Du9up0fSccAPwJ6ATu183NYDTjp1E5PYJSkzYElwAbp+qeAqyX1BP4UERMlvQp8XtIlwD3A2HoE3AVlco4kDSf5cvx6lsF3ATU/PxFxKXCppIOBM4FDM/4MVoG71yqbDHy5iv1OAt4CNiP5AuoFEBHjgB1Ipoy4VtL3IuK9dL+HgKOBq2ofdpdSt3Mk6RvAfwP7RMTH7fsYnVZH+B26Gdi3DbFbjTnpVPYAsEw6GR4AkjaVtH2T/foCMyOiARhBctcu6YimtyLiSpJfjC0l9QO6RcRtJH99bZnD5+jM6nKOJG0BXEGScGZn8Lk6i3qdn/VL3u4JvFTDz2Rt5JtDqyBpAHARyV9rHwGvAycCi4C7I2KT9B/4bSQXK/8KHBMRK0g6FDgl3fcD4HvAisA1fJL0T4+IT10PkLQVyYifldM6Z0XEF7P7lMVWp3P0N+BLwMx01dSI2Cejj1hodTo/FwPfSI97Dzi2rVO3WO046ZiZWW7cvWZmZrlx0jEzs9w46ZiZWW6cdMzMLDdOOmZmlhsnHasLSUtK5tL6g6Tl2lHWtUpn4pZ0VbnZhCUNbZzTq5V1vJ7eG1LV+ib7fNDKun4m6cetjdGsCJx0rF4+jIjN07mzFpLcVb6UpDZN0RQRR0bElDK7DAVanXTMrDacdKwjeARYL22FPCLpTmBKOpPwryQ9peSZNT+AZKp8SaMk/Tu9QXP1xoIkPSRpSPp693S24n8ped7NYJLkdlLaytpe0mqSbkvreErSdumxq0oaK2mypKsAVfoQkv6k5Fkxk0vvvk+3/Tpd/3dJq6Xr1pX01/SYRyRtVJOfplkH5gk/ra7SFs03Se5Ah2Q6k00i4rX0i3tORGwlaRngMUljgS2ADYEvkDyTZQpwdZNyVwOuBHZIy1olIv4j6XLgg4g4P93vRuDXEfGopM8B9wEbA2cBj0bEzyXtSTKLdCWHp3X0Bp6SdFtEvEsyrf74iDhJ0k/Tso8FRgNHR8RLkr4CXIZnQrZOzknH6qW3pInp60eAMSTdXv+MiNfS9bsCm+qTJ6f2BdYnmfzxpohYAsyQ9EAz5W8DjGssKyL+00Ic3wC+IC1tyKwoaYW0jm+lx94j6b0qPtPxkvZLXw9KY32X5JlIt6TrbwBuT+vYFvhDSd3LVFGHWaE56Vi9fJg+0XGp9Mt3fukq4LiIuK/JfnvUMI5uwDYR8VEzsVRN0lCSBPbViFgg6SFg2RZ2j7Te95v+DMw6O1/TsY7sPuCHSp6jgqQNJC0PjAMOSK/5rEnyZMqmngB2kLROeuwq6fp5QJ+S/cYCxzW+UfIsF9I6Dk7XfZNk4tVy+gLvpQlnI5KWVqNuQGNr7WCSbru5wGuSvpvWIUmbVajDrPCcdKwju4rkes3Tkp4jeYxAD5LZt19Kt10HPN70wIh4GxhJ0pX1Lz7p3roL2K9xIAFwPDAkHagwhU9G0Z1NkrQmk3SzTa0Q61+BHpKeB84lSXqN5gNbp59hJ+Dn6fpDgCPS+CYDw6r4mZgVmmeZNjOz3LilY2ZmuXHSMTOz3DjpmJlZbpx0zMwsN046ZmaWGycdMzPLjZOOmZnlxknHzMxy8/8BJTKLecu8g08AAAAASUVORK5CYII=\n",
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      "text/plain": [
       "<Figure size 504x432 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
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    "Y_pred = df_dtc.predict(X_test) # calculate the predictions of the model for our test set\n",
    "# plot the confusion matrix for the test and predicted target values\n",
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    "cm = confusion_matrix(y_test, Y_pred)\n",
    "plt_confusion_matrix(cm, ['Class 1','Class 2','Class 3'], 'Decision Tree') \n",
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    "print(\"Decision Tree Accuracy:\",np.round(accuracy_score(y_test, Y_pred),3)) # calculate and print the accuracy score"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
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    "To understand the Decision Tree Classifier further, we can introduce a two feature model for the Wine Classification. The two features we choose, which appear near to the top of the decision tree, are  `Flavanoids` and `Proline`. \n",
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    "\n",
    "First we create create a new data frame with only the categories `Class`, `Flavanoids` and `Proline`, and then split this into data frames with the feature values and targets values. This can then be plotted as a scatter plot, based on the three categories. By comparing this with the previous decision tree plot, we can identify the yellow plots as Class 3, the green dots as Class 2 and the purple dots as Class 1."
   ]
  },
  {
   "cell_type": "code",
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   "execution_count": 12,
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   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'Proline')"
      ]
     },
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     "execution_count": 12,
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     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
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      "image/png": 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\n",
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      "text/plain": [
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       "<Figure size 432x360 with 1 Axes>"
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      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
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    "X = df[['Flavanoids','Proline']] # drop the target variable for the features\n",
    "y = df['Class'] # create a target dataframe\n",
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    "fig, ax = plt.subplots(figsize=(6,5)) # initialise the plots and axes\n",
    "plt.scatter(X['Flavanoids'], X['Proline'], c=y); # scatter plot of the two features, coloured based on the target\n",
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    "plt.xlabel('Flavanoids') # xlabel\n",
    "plt.ylabel('Proline') # ylabel"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We now split our data into training and testing sets."
   ]
  },
  {
   "cell_type": "code",
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   "execution_count": 13,
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   "metadata": {},
   "outputs": [],
   "source": [
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    "# split the dataframes into training and testing sets\n",
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    "X_train, X_test, y_train, y_test = train_test_split(X, y, random_state = 42)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "To visualize the decision tree process, we investigate the evolution of the decision tree as we change the maximum depth that the Decision Tree Classifier can go to, but keep all other parameters, including the random seed, constant. The maximum depth is specified via the parameter `max_depth`. At depth=1 the feature space is split on the `Proline` feature, then at the next level each of the two regions can be split on different values of the `Flavanoids` feature. This results in a combined region for Class 3, although the Decision Tree Classifier records them as separate regions. After this the regions can be split either vertically or horizontally.\n",
    "\n",
    "Note that the maximum accuracy occurs for depth=3."
   ]
  },
  {
   "cell_type": "code",
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   "execution_count": 14,
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   "metadata": {},
   "outputs": [
    {
     "data": {
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      "image/png": 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\n",
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      "text/plain": [
       "<Figure size 720x648 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
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    "fig, axs = plt.subplots(2,2,figsize=(10,9)) # initialise the plots and axes for a 2x2 set of plots\n",
    "# create arrays for contour plots of the decision boundaries\n",
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    "xx, yy = np.meshgrid(np.linspace(0,6), np.linspace(200,1800))\n",
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    "for i in range(2): # i loops over (0,1)\n",
    "    for j in range(2): # j loops over (0,1)\n",
    "        depth = i*2+j+1 # depth can then be calculated based on i and j\n",
    "        # fit the data to our DTC and specify the maximum depth of the tree\n",
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    "        df_dtc = DecisionTreeClassifier(random_state = 42, max_depth=depth).fit(X_train, y_train)\n",
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    "        # scatter plot of the two features, coloured based on the target, alpha set the transperancy\n",
    "        # axs[i,j] is (i,j) set of the axes defined above\n",
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    "        axs[i,j].scatter(X['Flavanoids'], X['Proline'], c=y, alpha=0.3);\n",
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    "        plt_decision_boundaries(df_dtc, xx, yy, ax=axs[i,j], fill=False) # contour plot of the decision boundaries for this classifier\n",
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    "        Y_pred = df_dtc.predict(X_test) # calculate the predicted values\n",
    "        accuracy = np.round(accuracy_score(y_test, Y_pred),3) # calculate the accuracy score\n",
    "        # add the depth and accuracy to the title\n",
    "        axs[i,j].set_title('depth = {0}, accuracy = {1}'.format(depth,accuracy)) \n",
    "        # only print axis labels on the left and bottom\n",
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    "        if i == 1:\n",
    "            axs[i,j].set_xlabel('Flavanoids')\n",
    "        if j == 0:\n",
    "            axs[i,j].set_ylabel('Proline')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
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    "The growth of the regions can also be seen by plotting the decision tree. The white nodes indicate that the node has equal values for two target variables and cannot be definitely classified. At depth=4 there are four nodes which still have gini score greater than zero, so the Decision Tree Classifier would continue deeper from these nodes."
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   ]
  },
  {
   "cell_type": "code",
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   "execution_count": 15,
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   "metadata": {},
   "outputs": [
    {
     "data": {
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      "image/png": 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\n",
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      "text/plain": [
       "<Figure size 1080x648 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize=(15,9)) # initialise the plots and axes\n",
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    "# plot the decision tree for the model df_dtc\n",
    "plot_tree(df_dtc, \n",
    " filled = True, # colour the nodes according to the classifaction\n",
    " rounded = True, # make the nodes have rounded corners\n",
    " class_names = ['Class 1', 'Class 2','Class 3'], # use these names for targets\n",
    " feature_names = X.columns # use these names for features\n",
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    " );"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
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    "## Overfitting"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Decision trees could continue the branching process until there is only one sample for each leaf and the depth of the tree is very large. However, this will typically lead to the variance of the model also being very large and the model being extremely sensitive to the training set. Recall that this is the characteristic of model overfitting. \n",
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    "\n",
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    "As we changed the maximum depth of the decision tree above the maximum accuracy on the testing set occured when `max_depth=3`, and this decreased significantly for `max_depth=4`. We can investigate what occurs if we don't specify the maximum depth. In this case the tree has 8 levels and the accuracy decreases dramatically to 82.2%. It can also be observed that some of the decision boundaries will be very sensitive to the choice of the training set. In particular the thin regions at $x=0.6$, $200 \\lt y \\lt 500$ and $2.25 \\lt x \\lt 3$, $y=1000$ are the result of one point in these regions. If each of these points were removed, the regions would also disappear."
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   ]
  },
  {
   "cell_type": "code",
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   "execution_count": 16,
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   "metadata": {},
   "outputs": [
    {
     "data": {
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      "image/png": 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\n",
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      "text/plain": [
       "<Figure size 432x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
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    "# fit the data to our DTC\n",
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    "df_dtc = DecisionTreeClassifier(random_state = 42).fit(X_train, y_train)\n",
    "fig, ax = plt.subplots(figsize=(6,5)) # initialise the plots and axes\n",
    "plt_decision_boundaries(df_dtc,xx,yy) # contour plot of the decision boundaries for this classifier\n",
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    "# scatter plot of the two features, coloured based on the target, alpha set the transperancy\n",
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    "plt.scatter(X['Flavanoids'], X['Proline'], c=y, alpha=0.3);\n",
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    "depth = df_dtc.tree_.max_depth # find the maximum depth of the decision tree\n",
    "Y_pred = df_dtc.predict(X_test) # obtain the predicted values\n",
    "accuracy = np.round(accuracy_score(y_test, Y_pred),3) # calculate the accuracy score\n",
    "# add the depth and accuracy to the title\n",
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    "plt.title('depth = {0}, accuracy = {1}'.format(depth,accuracy))\n",
    "plt.xlabel('Flavanoids') # xlabel\n",
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    "plt.ylabel('Proline'); # ylabel"
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   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
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    "One way to combat this problem of overfitting is to use cross-validation and use the accuracy score to search for the optimal value of the tree depth. A number of other hyperparameters could also be used to search for the optimal accuracy. For example, `min_samples_leaf` specifies the minimum number of samples that a node must have to qualify as a leaf. Increasing this removes small regions as in the figure above. If we set this equal to four and do not limit the depth of the tree, we can obtain an accuracy of 93.3%, as seen below. For other parameters see the documentation for the Decision Tree Classifier (https://scikit-learn.org/stable/modules/generated/sklearn.tree.DecisionTreeClassifier.html)."
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   ]
  },
  {
   "cell_type": "code",
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   "execution_count": 17,
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