04-DecisionTrees-Fin.ipynb 678 KB
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{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 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": [
    "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",
    "    * The algorithm can easily deal with categorical and continuous feature variables.\n",
    "    * 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",
    "    * Decision trees are biased with imbalanced datasets, where there is only a small proportion of samples in a \n",
    "      particular category. So it is recommended to balance the dataset before creating the decision tree.\n",
    "\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": [
    "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()`."
   ]
  },
  {
   "cell_type": "code",
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   "execution_count": 2,
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   "metadata": {},
   "outputs": [],
   "source": [
    "from logitplots import plt_confusion_matrix, plt_decision_boundaries, plt_correlation_matrix"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Wine Data"
   ]
  },
  {
   "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": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "\n",
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       "\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>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",
       "    </tr>\n",
       "  </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": [
    "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",
    "df.head() # display the first few rows of the dataframe"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### EDA"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "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."
   ]
  },
  {
   "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": [
    "We can confirm this by checking if any values of the dataframe are null (NaN). The result is false, so no missing values."
   ]
  },
  {
   "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": [
    "df.isnull().values.any() # check if there are any True values for the test isnull on the dataframe"
   ]
  },
  {
   "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": [
       "<div>\n",
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       "\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>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": [
    "df.describe() # display the descriptive statistics for numerical values of the dataframe"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "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."
   ]
  },
  {
   "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": [
    "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"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Decision Trees"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "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",
    "\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",
    "$$ G = 1-(p_1^2+p_2^2+\\cdots+p_n^2). $$\n",
    "\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",
    "$$ J(k,t_k) = \\frac{m_{{\\rm left}}}{m} G_{{\\rm left}} + \\frac{m_{{\\rm right}}}{m} G_{{\\rm right}}, $$\n",
    "\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",
    "`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",
    "\n",
    "$$ E = -(p_1\\log_2 p_1 + p_2\\log_2 p_2 + \\cdots +p_n \\log_2 p_n). $$"
   ]
  },
  {
   "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",
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   "execution_count": 8,
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   "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": [
    "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": [
    "# 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"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "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",
    "\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",
    "# 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",
    " );"
   ]
  },
  {
   "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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\n",
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      "text/plain": [
       "<Figure size 504x432 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "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",
    "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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    "# calculate and print the accuracy score\n",
    "print(\"Decision Tree Accuracy:\",np.round(accuracy_score(y_test, Y_pred),3)) "
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   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "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",
    "\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": [
       "<Figure size 432x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "X = df[['Flavanoids','Proline']] # drop the target variable for the features\n",
    "y = df['Class'] # create a target dataframe\n",
    "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",
    "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": [
    "# 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": [
    "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": [
    "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",
    "xx, yy = np.meshgrid(np.linspace(0,6), np.linspace(200,1800))\n",
    "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",
    "        df_dtc = DecisionTreeClassifier(random_state = 42, max_depth=depth).fit(X_train, y_train)\n",
    "        # 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",
    "        axs[i,j].scatter(X['Flavanoids'], X['Proline'], c=y, alpha=0.3);\n",
    "        plt_decision_boundaries(df_dtc, xx, yy, ax=axs[i,j], fill=False) # contour plot of the decision boundaries for this classifier\n",
    "        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",
    "        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": [
    "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."
   ]
  },
  {
   "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",
    "# 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",
    " );"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 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",
    "\n",
    "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."
   ]
  },
  {
   "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": [
    "# fit the data to our DTC\n",
    "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",
    "# scatter plot of the two features, coloured based on the target, alpha set the transperancy\n",
    "plt.scatter(X['Flavanoids'], X['Proline'], c=y, alpha=0.3);\n",
    "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",
    "plt.title('depth = {0}, accuracy = {1}'.format(depth,accuracy))\n",
    "plt.xlabel('Flavanoids') # xlabel\n",
    "plt.ylabel('Proline'); # ylabel"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "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)."
   ]
  },
  {
   "cell_type": "code",
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   "execution_count": 17,
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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": [
    "# fit the data to our DTC, specifying the minimum number of samples that a leaf must have\n",
    "df_dtc = DecisionTreeClassifier(random_state = 42, min_samples_leaf=4, max_depth=4).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",
    "# scatter plot of the two features, coloured based on the target, alpha set the transperancy\n",
    "plt.scatter(X['Flavanoids'], X['Proline'], c=y, alpha=0.3);\n",
    "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",
    "plt.title('depth = {0}, accuracy = {1}'.format(depth,accuracy))\n",
    "plt.xlabel('Flavanoids') # xlabel\n",
    "plt.ylabel('Proline'); # ylabel"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "As noted above decision trees are very sensitive to the choice of training set, however it is relatively cheap to create a single decision tree. Therefore, in general the technique for combatting overfitting in decision trees is to run an ensemble of decision trees with random training sets and use these to create an averaged classifier. This is the basis of the Random Forest Classifier. The advantage of this technique is that the averaged classifier will often give better accurary than any of the members of the ensemble. We will consider Random Forest Classifiers in the next lesson."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Exercises"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "For these exercises we will model a dataset of the properties of wheat seeds. This is from the [UCI Machine Learning Repository](https://archive.ics.uci.edu/ml/datasets/seeds). Make sure you copy the text file to your working directory. The seedtype is an integer corresponding to the three classes in the cell below."
   ]
  },
  {
   "cell_type": "code",
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   "execution_count": 19,
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   "metadata": {},
   "outputs": [],
   "source": [
    "seeds = pd.read_csv('seeds_dataset.txt', header=None, \n",
    "                   names=['area','perimeter','compactness','length','width','asymmetry',\n",
    "                         'groovelength','seedtype'])\n",
    "classes = ['Kama', 'Rosa', 'Canadian']"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Exercise 1"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Split the data into features and labels, and into a training and testing set"
   ]
  },
  {
   "cell_type": "code",
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   "execution_count": 28,
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   "metadata": {},
   "outputs": [],
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   "source": [
    "X = seeds.drop('seedtype', axis=1)\n",
    "Y = seeds['seedtype']\n",
    "\n",
    "X_train, X_test, Y_train, Y_test = train_test_split(X, Y, random_state = 42)"
   ]
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  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Exercise 2"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Create a simple Decision Tree of maximum depth=3 and fit the training data to this model."
   ]
  },
  {
   "cell_type": "code",
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   "execution_count": 29,
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   "metadata": {},
   "outputs": [],
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   "source": [
    "dtc = DecisionTreeClassifier(random_state=42, max_depth=3).fit(X_train, Y_train)"
   ]
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  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Exercise 3"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Plot the decision tree for this model, and identify the most significant features for the classification of this dataset."
   ]
  },
  {
   "cell_type": "code",
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   "execution_count": 30,
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   "metadata": {},
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   "outputs": [
    {
     "data": {
      "image/png": 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