ML/ML_example.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
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   "source": [
    "# Machine Learning with Python using scikit Learn\n",
    "\n",
    "Python has several packages for machine learning. We will use the most popular package:\n",
    "[scikit learn](https://scikit-learn.org)\n",
    "\n",
    "See scikit learn's section on [supervised learning](https://scikit-learn.org/stable/supervised_learning.html#supervised-learning)\n",
    "\n",
    "This introduction covers the use of scikit learn for:\n",
    "* Training/testing\n",
    "* Cross validation\n",
    "* Decision trees\n",
    "* K-nearest neighbors\n",
    "* Support vector machines\n",
    "* Naive Bayes classifier\n",
    "* Neural networks (Multi-layer perceptrons)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "!pip install -q pandas scikit-learn"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "\n",
    "# data\n",
    "from sklearn.datasets import load_iris\n",
    "\n",
    "# learner\n",
    "from sklearn.tree import DecisionTreeClassifier\n",
    "from sklearn import tree\n",
    "\n",
    "# evaluation\n",
    "from sklearn.model_selection import train_test_split, cross_val_score\n",
    "from sklearn.metrics import confusion_matrix, accuracy_score\n",
    "\n",
    "# make plots larger\n",
    "import matplotlib.pyplot as plt\n",
    "plt.rcParams[\"figure.figsize\"]=15,15"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Load data\n",
    "\n",
    "The iris dataset comes with scikit learn. It contains four measurements for 150 flowers of three subspecies of the iris family. The class attribute is the subspecies. Details can be found on the [Wikipedia page for the iris dataset](https://en.wikipedia.org/wiki/Iris_flower_data_set). We load the data as a [pandas dataframe](https://pandas.pydata.org/pandas-docs/stable/user_guide/dsintro.html#dataframe). Dataframes are similar to spreadsheets or SQL tables (each column can have its own data type) and are used often to represent data for machine learning."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
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       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>sepal length (cm)</th>\n",
       "      <th>sepal width (cm)</th>\n",
       "      <th>petal length (cm)</th>\n",
       "      <th>petal width (cm)</th>\n",
       "      <th>target</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>5.1</td>\n",
       "      <td>3.5</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.2</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>4.9</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.2</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>4.7</td>\n",
       "      <td>3.2</td>\n",
       "      <td>1.3</td>\n",
       "      <td>0.2</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4.6</td>\n",
       "      <td>3.1</td>\n",
       "      <td>1.5</td>\n",
       "      <td>0.2</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5.0</td>\n",
       "      <td>3.6</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.2</td>\n",
       "      <td>0</td>\n",
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       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
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       "    <tr>\n",
       "      <th>145</th>\n",
       "      <td>6.7</td>\n",
       "      <td>3.0</td>\n",
       "      <td>5.2</td>\n",
       "      <td>2.3</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>146</th>\n",
       "      <td>6.3</td>\n",
       "      <td>2.5</td>\n",
       "      <td>5.0</td>\n",
       "      <td>1.9</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>147</th>\n",
       "      <td>6.5</td>\n",
       "      <td>3.0</td>\n",
       "      <td>5.2</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>148</th>\n",
       "      <td>6.2</td>\n",
       "      <td>3.4</td>\n",
       "      <td>5.4</td>\n",
       "      <td>2.3</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>149</th>\n",
       "      <td>5.9</td>\n",
       "      <td>3.0</td>\n",
       "      <td>5.1</td>\n",
       "      <td>1.8</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>150 rows × 5 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     sepal length (cm)  sepal width (cm)  petal length (cm)  petal width (cm)  \\\n",
       "0                  5.1               3.5                1.4               0.2   \n",
       "1                  4.9               3.0                1.4               0.2   \n",
       "2                  4.7               3.2                1.3               0.2   \n",
       "3                  4.6               3.1                1.5               0.2   \n",
       "4                  5.0               3.6                1.4               0.2   \n",
       "..                 ...               ...                ...               ...   \n",
       "145                6.7               3.0                5.2               2.3   \n",
       "146                6.3               2.5                5.0               1.9   \n",
       "147                6.5               3.0                5.2               2.0   \n",
       "148                6.2               3.4                5.4               2.3   \n",
       "149                5.9               3.0                5.1               1.8   \n",
       "\n",
       "     target  \n",
       "0         0  \n",
       "1         0  \n",
       "2         0  \n",
       "3         0  \n",
       "4         0  \n",
       "..      ...  \n",
       "145       2  \n",
       "146       2  \n",
       "147       2  \n",
       "148       2  \n",
       "149       2  \n",
       "\n",
       "[150 rows x 5 columns]"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "iris = load_iris(as_frame = True)\n",
    "iris['frame']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
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       "      <th>sepal length (cm)</th>\n",
       "      <th>sepal width (cm)</th>\n",
       "      <th>petal length (cm)</th>\n",
       "      <th>petal width (cm)</th>\n",
       "    </tr>\n",
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       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>5.1</td>\n",
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       "      <td>0.2</td>\n",
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       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>4.9</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>4.7</td>\n",
       "      <td>3.2</td>\n",
       "      <td>1.3</td>\n",
       "      <td>0.2</td>\n",
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       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4.6</td>\n",
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       "    <tr>\n",
       "      <th>4</th>\n",
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       "      <td>2.3</td>\n",
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       "    <tr>\n",
       "      <th>146</th>\n",
       "      <td>6.3</td>\n",
       "      <td>2.5</td>\n",
       "      <td>5.0</td>\n",
       "      <td>1.9</td>\n",
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       "    <tr>\n",
       "      <th>147</th>\n",
       "      <td>6.5</td>\n",
       "      <td>3.0</td>\n",
       "      <td>5.2</td>\n",
       "      <td>2.0</td>\n",
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       "    <tr>\n",
       "      <th>148</th>\n",
       "      <td>6.2</td>\n",
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       "  </tbody>\n",
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       "<p>150 rows × 4 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     sepal length (cm)  sepal width (cm)  petal length (cm)  petal width (cm)\n",
       "0                  5.1               3.5                1.4               0.2\n",
       "1                  4.9               3.0                1.4               0.2\n",
       "2                  4.7               3.2                1.3               0.2\n",
       "3                  4.6               3.1                1.5               0.2\n",
       "4                  5.0               3.6                1.4               0.2\n",
       "..                 ...               ...                ...               ...\n",
       "145                6.7               3.0                5.2               2.3\n",
       "146                6.3               2.5                5.0               1.9\n",
       "147                6.5               3.0                5.2               2.0\n",
       "148                6.2               3.4                5.4               2.3\n",
       "149                5.9               3.0                5.1               1.8\n",
       "\n",
       "[150 rows x 4 columns]"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X = iris['data']\n",
    "y = iris['target']\n",
    "\n",
    "X"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0      0\n",
       "1      0\n",
       "2      0\n",
       "3      0\n",
       "4      0\n",
       "      ..\n",
       "145    2\n",
       "146    2\n",
       "147    2\n",
       "148    2\n",
       "149    2\n",
       "Name: target, Length: 150, dtype: int64"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "y"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Class distribution"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "target\n",
       "0    50\n",
       "1    50\n",
       "2    50\n",
       "Name: count, dtype: int64"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "y.value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "target\n",
       "0    0.333333\n",
       "1    0.333333\n",
       "2    0.333333\n",
       "Name: proportion, dtype: float64"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "y.value_counts(normalize = True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Visualize the dataframe using a scatter plot matrix."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1500x1500 with 16 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt = pd.plotting.scatter_matrix(X)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    " ## Create a training and test set\n",
    " \n",
    " Split the data into test data used to learn the model and test data to evaluate the model."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>sepal length (cm)</th>\n",
       "      <th>sepal width (cm)</th>\n",
       "      <th>petal length (cm)</th>\n",
       "      <th>petal width (cm)</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>104</th>\n",
       "      <td>6.5</td>\n",
       "      <td>3.0</td>\n",
       "      <td>5.8</td>\n",
       "      <td>2.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>93</th>\n",
       "      <td>5.0</td>\n",
       "      <td>2.3</td>\n",
       "      <td>3.3</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>98</th>\n",
       "      <td>5.1</td>\n",
       "      <td>2.5</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>5.7</td>\n",
       "      <td>4.4</td>\n",
       "      <td>1.5</td>\n",
       "      <td>0.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>74</th>\n",
       "      <td>6.4</td>\n",
       "      <td>2.9</td>\n",
       "      <td>4.3</td>\n",
       "      <td>1.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>130</th>\n",
       "      <td>7.4</td>\n",
       "      <td>2.8</td>\n",
       "      <td>6.1</td>\n",
       "      <td>1.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>5.4</td>\n",
       "      <td>3.4</td>\n",
       "      <td>1.5</td>\n",
       "      <td>0.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75</th>\n",
       "      <td>6.6</td>\n",
       "      <td>3.0</td>\n",
       "      <td>4.4</td>\n",
       "      <td>1.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>5.1</td>\n",
       "      <td>3.8</td>\n",
       "      <td>1.9</td>\n",
       "      <td>0.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>99</th>\n",
       "      <td>5.7</td>\n",
       "      <td>2.8</td>\n",
       "      <td>4.1</td>\n",
       "      <td>1.3</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>120 rows × 4 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     sepal length (cm)  sepal width (cm)  petal length (cm)  petal width (cm)\n",
       "104                6.5               3.0                5.8               2.2\n",
       "93                 5.0               2.3                3.3               1.0\n",
       "98                 5.1               2.5                3.0               1.1\n",
       "15                 5.7               4.4                1.5               0.4\n",
       "74                 6.4               2.9                4.3               1.3\n",
       "..                 ...               ...                ...               ...\n",
       "130                7.4               2.8                6.1               1.9\n",
       "31                 5.4               3.4                1.5               0.4\n",
       "75                 6.6               3.0                4.4               1.4\n",
       "44                 5.1               3.8                1.9               0.4\n",
       "99                 5.7               2.8                4.1               1.3\n",
       "\n",
       "[120 rows x 4 columns]"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2)\n",
    "\n",
    "X_train"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>sepal length (cm)</th>\n",
       "      <th>sepal width (cm)</th>\n",
       "      <th>petal length (cm)</th>\n",
       "      <th>petal width (cm)</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>116</th>\n",
       "      <td>6.5</td>\n",
       "      <td>3.0</td>\n",
       "      <td>5.5</td>\n",
       "      <td>1.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>4.6</td>\n",
       "      <td>3.2</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48</th>\n",
       "      <td>5.3</td>\n",
       "      <td>3.7</td>\n",
       "      <td>1.5</td>\n",
       "      <td>0.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>106</th>\n",
       "      <td>4.9</td>\n",
       "      <td>2.5</td>\n",
       "      <td>4.5</td>\n",
       "      <td>1.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>59</th>\n",
       "      <td>5.2</td>\n",
       "      <td>2.7</td>\n",
       "      <td>3.9</td>\n",
       "      <td>1.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>65</th>\n",
       "      <td>6.7</td>\n",
       "      <td>3.1</td>\n",
       "      <td>4.4</td>\n",
       "      <td>1.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>5.4</td>\n",
       "      <td>3.4</td>\n",
       "      <td>1.7</td>\n",
       "      <td>0.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>125</th>\n",
       "      <td>7.2</td>\n",
       "      <td>3.2</td>\n",
       "      <td>6.0</td>\n",
       "      <td>1.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>82</th>\n",
       "      <td>5.8</td>\n",
       "      <td>2.7</td>\n",
       "      <td>3.9</td>\n",
       "      <td>1.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>4.6</td>\n",
       "      <td>3.4</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>4.5</td>\n",
       "      <td>2.3</td>\n",
       "      <td>1.3</td>\n",
       "      <td>0.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>4.4</td>\n",
       "      <td>2.9</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>81</th>\n",
       "      <td>5.5</td>\n",
       "      <td>2.4</td>\n",
       "      <td>3.7</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>95</th>\n",
       "      <td>5.7</td>\n",
       "      <td>3.0</td>\n",
       "      <td>4.2</td>\n",
       "      <td>1.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>76</th>\n",
       "      <td>6.8</td>\n",
       "      <td>2.8</td>\n",
       "      <td>4.8</td>\n",
       "      <td>1.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>5.1</td>\n",
       "      <td>3.5</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>90</th>\n",
       "      <td>5.5</td>\n",
       "      <td>2.6</td>\n",
       "      <td>4.4</td>\n",
       "      <td>1.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>5.0</td>\n",
       "      <td>3.5</td>\n",
       "      <td>1.3</td>\n",
       "      <td>0.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>52</th>\n",
       "      <td>6.9</td>\n",
       "      <td>3.1</td>\n",
       "      <td>4.9</td>\n",
       "      <td>1.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>142</th>\n",
       "      <td>5.8</td>\n",
       "      <td>2.7</td>\n",
       "      <td>5.1</td>\n",
       "      <td>1.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>145</th>\n",
       "      <td>6.7</td>\n",
       "      <td>3.0</td>\n",
       "      <td>5.2</td>\n",
       "      <td>2.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>109</th>\n",
       "      <td>7.2</td>\n",
       "      <td>3.6</td>\n",
       "      <td>6.1</td>\n",
       "      <td>2.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>134</th>\n",
       "      <td>6.1</td>\n",
       "      <td>2.6</td>\n",
       "      <td>5.6</td>\n",
       "      <td>1.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>102</th>\n",
       "      <td>7.1</td>\n",
       "      <td>3.0</td>\n",
       "      <td>5.9</td>\n",
       "      <td>2.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>5.2</td>\n",
       "      <td>4.1</td>\n",
       "      <td>1.5</td>\n",
       "      <td>0.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>4.6</td>\n",
       "      <td>3.6</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>4.8</td>\n",
       "      <td>3.4</td>\n",
       "      <td>1.6</td>\n",
       "      <td>0.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>137</th>\n",
       "      <td>6.4</td>\n",
       "      <td>3.1</td>\n",
       "      <td>5.5</td>\n",
       "      <td>1.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>67</th>\n",
       "      <td>5.8</td>\n",
       "      <td>2.7</td>\n",
       "      <td>4.1</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>60</th>\n",
       "      <td>5.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>3.5</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     sepal length (cm)  sepal width (cm)  petal length (cm)  petal width (cm)\n",
       "116                6.5               3.0                5.5               1.8\n",
       "47                 4.6               3.2                1.4               0.2\n",
       "48                 5.3               3.7                1.5               0.2\n",
       "106                4.9               2.5                4.5               1.7\n",
       "59                 5.2               2.7                3.9               1.4\n",
       "65                 6.7               3.1                4.4               1.4\n",
       "20                 5.4               3.4                1.7               0.2\n",
       "125                7.2               3.2                6.0               1.8\n",
       "82                 5.8               2.7                3.9               1.2\n",
       "6                  4.6               3.4                1.4               0.3\n",
       "41                 4.5               2.3                1.3               0.3\n",
       "8                  4.4               2.9                1.4               0.2\n",
       "81                 5.5               2.4                3.7               1.0\n",
       "95                 5.7               3.0                4.2               1.2\n",
       "76                 6.8               2.8                4.8               1.4\n",
       "0                  5.1               3.5                1.4               0.2\n",
       "90                 5.5               2.6                4.4               1.2\n",
       "40                 5.0               3.5                1.3               0.3\n",
       "52                 6.9               3.1                4.9               1.5\n",
       "142                5.8               2.7                5.1               1.9\n",
       "145                6.7               3.0                5.2               2.3\n",
       "109                7.2               3.6                6.1               2.5\n",
       "134                6.1               2.6                5.6               1.4\n",
       "102                7.1               3.0                5.9               2.1\n",
       "32                 5.2               4.1                1.5               0.1\n",
       "22                 4.6               3.6                1.0               0.2\n",
       "11                 4.8               3.4                1.6               0.2\n",
       "137                6.4               3.1                5.5               1.8\n",
       "67                 5.8               2.7                4.1               1.0\n",
       "60                 5.0               2.0                3.5               1.0"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X_test"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Learn a decision tree on the training data\n",
    "\n",
    "scikit-learn uses an optimized version of the CART algorithm. Learning a model in scikit-learn consists of initializing the learner (with hyperparameters, if any) and calling the fit function with the training data. For details, see https://scikit-learn.org/stable/modules/tree.html."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<style>#sk-container-id-1 {color: black;}#sk-container-id-1 pre{padding: 0;}#sk-container-id-1 div.sk-toggleable {background-color: white;}#sk-container-id-1 label.sk-toggleable__label {cursor: pointer;display: block;width: 100%;margin-bottom: 0;padding: 0.3em;box-sizing: border-box;text-align: center;}#sk-container-id-1 label.sk-toggleable__label-arrow:before {content: \"▸\";float: left;margin-right: 0.25em;color: #696969;}#sk-container-id-1 label.sk-toggleable__label-arrow:hover:before {color: black;}#sk-container-id-1 div.sk-estimator:hover label.sk-toggleable__label-arrow:before {color: black;}#sk-container-id-1 div.sk-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}#sk-container-id-1 div.sk-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}#sk-container-id-1 input.sk-toggleable__control:checked~div.sk-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}#sk-container-id-1 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {content: \"▾\";}#sk-container-id-1 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 input.sk-hidden--visually {border: 0;clip: rect(1px 1px 1px 1px);clip: rect(1px, 1px, 1px, 1px);height: 1px;margin: -1px;overflow: hidden;padding: 0;position: absolute;width: 1px;}#sk-container-id-1 div.sk-estimator {font-family: monospace;background-color: #f0f8ff;border: 1px dotted black;border-radius: 0.25em;box-sizing: border-box;margin-bottom: 0.5em;}#sk-container-id-1 div.sk-estimator:hover {background-color: #d4ebff;}#sk-container-id-1 div.sk-parallel-item::after {content: \"\";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}#sk-container-id-1 div.sk-label:hover label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 div.sk-serial::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: 0;}#sk-container-id-1 div.sk-serial {display: flex;flex-direction: column;align-items: center;background-color: white;padding-right: 0.2em;padding-left: 0.2em;position: relative;}#sk-container-id-1 div.sk-item {position: relative;z-index: 1;}#sk-container-id-1 div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: white;position: relative;}#sk-container-id-1 div.sk-item::before, #sk-container-id-1 div.sk-parallel-item::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: -1;}#sk-container-id-1 div.sk-parallel-item {display: flex;flex-direction: column;z-index: 1;position: relative;background-color: white;}#sk-container-id-1 div.sk-parallel-item:first-child::after {align-self: flex-end;width: 50%;}#sk-container-id-1 div.sk-parallel-item:last-child::after {align-self: flex-start;width: 50%;}#sk-container-id-1 div.sk-parallel-item:only-child::after {width: 0;}#sk-container-id-1 div.sk-dashed-wrapped {border: 1px dashed gray;margin: 0 0.4em 0.5em 0.4em;box-sizing: border-box;padding-bottom: 0.4em;background-color: white;}#sk-container-id-1 div.sk-label label {font-family: monospace;font-weight: bold;display: inline-block;line-height: 1.2em;}#sk-container-id-1 div.sk-label-container {text-align: center;}#sk-container-id-1 div.sk-container {/* jupyter's `normalize.less` sets `[hidden] { display: none; }` but bootstrap.min.css set `[hidden] { display: none !important; }` so we also need the `!important` here to be able to override the default hidden behavior on the sphinx rendered scikit-learn.org. See: https://github.com/scikit-learn/scikit-learn/issues/21755 */display: inline-block !important;position: relative;}#sk-container-id-1 div.sk-text-repr-fallback {display: none;}</style><div id=\"sk-container-id-1\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>DecisionTreeClassifier()</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-1\" type=\"checkbox\" checked><label for=\"sk-estimator-id-1\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">DecisionTreeClassifier</label><div class=\"sk-toggleable__content\"><pre>DecisionTreeClassifier()</pre></div></div></div></div></div>"
      ],
      "text/plain": [
       "DecisionTreeClassifier()"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "clf = DecisionTreeClassifier()\n",
    "clf = clf.fit(X_train, y_train)\n",
    "clf"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1500x1500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "pl = tree.plot_tree(clf, feature_names = list(X_train.columns)) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "|--- petal length (cm) <= 2.45\n",
      "|   |--- class: 0\n",
      "|--- petal length (cm) >  2.45\n",
      "|   |--- petal length (cm) <= 4.75\n",
      "|   |   |--- class: 1\n",
      "|   |--- petal length (cm) >  4.75\n",
      "|   |   |--- petal width (cm) <= 1.75\n",
      "|   |   |   |--- petal length (cm) <= 4.95\n",
      "|   |   |   |   |--- class: 1\n",
      "|   |   |   |--- petal length (cm) >  4.95\n",
      "|   |   |   |   |--- petal width (cm) <= 1.55\n",
      "|   |   |   |   |   |--- class: 2\n",
      "|   |   |   |   |--- petal width (cm) >  1.55\n",
      "|   |   |   |   |   |--- sepal length (cm) <= 6.95\n",
      "|   |   |   |   |   |   |--- class: 1\n",
      "|   |   |   |   |   |--- sepal length (cm) >  6.95\n",
      "|   |   |   |   |   |   |--- class: 2\n",
      "|   |   |--- petal width (cm) >  1.75\n",
      "|   |   |   |--- petal length (cm) <= 4.85\n",
      "|   |   |   |   |--- sepal width (cm) <= 3.10\n",
      "|   |   |   |   |   |--- class: 2\n",
      "|   |   |   |   |--- sepal width (cm) >  3.10\n",
      "|   |   |   |   |   |--- class: 1\n",
      "|   |   |   |--- petal length (cm) >  4.85\n",
      "|   |   |   |   |--- class: 2\n",
      "\n"
     ]
    }
   ],
   "source": [
    "print(tree.export_text(clf, feature_names = list(X_train.columns)))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Test on the test data\n",
    "\n",
    "It is important that the test data was not seen by the algorithm before. The goal is to estimate the generalization error/accuracy."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "y_test:\t [2, 0, 0, 2, 1, 1, 0, 2, 1, 0, 0, 0, 1, 1, 1, 0, 1, 0, 1, 2, 2, 2, 2, 2, 0, 0, 0, 2, 1, 1]\n",
      "pred:\t [2, 0, 0, 1, 1, 1, 0, 2, 1, 0, 0, 0, 1, 1, 1, 0, 1, 0, 1, 2, 2, 2, 2, 2, 0, 0, 0, 2, 1, 1]\n"
     ]
    }
   ],
   "source": [
    "pred = clf.predict(X_test)\n",
    "\n",
    "print(\"y_test:\\t\", list(y_test))\n",
    "print(\"pred:\\t\",   list(pred))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Confusion matrix with count. Rows are the true/test labels and columns are the predicted labels. Counts on the diagonal are correct predictions."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[11,  0,  0],\n",
       "       [ 0, 10,  1],\n",
       "       [ 0,  0,  8]])"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "confusion_matrix(pred, y_test)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Calculate accuracy on the test data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.9666666666666667"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "accuracy_score(pred, y_test)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Hyperparameters: Create a decision tree with restricted depth\n",
    "\n",
    "Hyperparameters (together with other parameters) can be found at https://scikit-learn.org/stable/modules/generated/sklearn.tree.DecisionTreeClassifier.html#sklearn.tree.DecisionTreeClassifier.\n",
    "\n",
    "Information about automatic hyperparameter tuning using search can be found here: https://scikit-learn.org/stable/modules/grid_search.html.\n",
    "\n",
    "We change the  hyperparameter `max_depth` from the default value of `None` (unlimited) to 3."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1500x1500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "clf2 = tree.DecisionTreeClassifier(max_depth = 3)\n",
    "clf2 = clf2.fit(X_train, y_train)\n",
    "pl = tree.plot_tree(clf2, feature_names = list(X_train.columns))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Cross-validation\n",
    "\n",
    "The goal of cross-validation is to get a more robust estimate for the model accuracy on unseen evaluation data while using as much of the data as possible.\n",
    "\n",
    "The data is randomly split into `cv` folds and then the model is learned (using the model's fit function) `cv` times, each time it is trained on `cv`-1 folds and evaluated against the remaining fold. Therefore, each data point is used at least once to evaluate the model. The procedure results in `cv` many scores. The final estimate the average. The scores are drawn from a sampling distribution and, therefore, standard statistics including confidence intervals and significance tests can be used. \n",
    "\n",
    "Cross-validation is often used for hyperparameter tuning or model selection (it splits the training set repeatedly into training and validation data). Here we do not perform model selection, and we use cross-validation to estimate the model accuracy on a test set."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([1.        , 0.93333333, 1.        , 0.93333333, 0.93333333,\n",
       "       0.86666667, 0.93333333, 1.        , 1.        , 1.        ])"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "clf = DecisionTreeClassifier()\n",
    "scores = cross_val_score(clf, X, y, cv = 10)\n",
    "scores"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Cross validated accuracy: 0.96\n"
     ]
    }
   ],
   "source": [
    "print(\"Cross validated accuracy:\", scores.mean())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "tags": []
   },
   "source": [
    "## Other Classification Models\n",
    "\n",
    "Many different models are implemented in scikit learn (see: https://scikit-learn.org/stable/supervised_learning.html).\n",
    "\n",
    "Each model class has its own model bias. Some examples are shown below."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "tags": []
   },
   "source": [
    "### Naive Bayes Classifier\n",
    "\n",
    "The features are continuous, so we use a Gaussian Naive Bayes Classifier.\n",
    "See: https://scikit-learn.org/stable/modules/naive_bayes.html#gaussian-naive-bayes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "y_test:\t [2, 0, 0, 2, 1, 1, 0, 2, 1, 0, 0, 0, 1, 1, 1, 0, 1, 0, 1, 2, 2, 2, 2, 2, 0, 0, 0, 2, 1, 1]\n",
      "pred:\t [2, 0, 0, 1, 1, 1, 0, 2, 1, 0, 0, 0, 1, 1, 1, 0, 1, 0, 1, 2, 2, 2, 1, 2, 0, 0, 0, 2, 1, 1]\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "0.9333333333333333"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.naive_bayes import GaussianNB\n",
    "\n",
    "clf = GaussianNB()\n",
    "clf.fit(X_train, y_train)\n",
    "\n",
    "pred = clf.predict(X_test)\n",
    "\n",
    "print(\"y_test:\\t\", list(y_test))\n",
    "print(\"pred:\\t\",   list(pred))\n",
    "accuracy_score(pred, y_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Cross validated accuracy: 0.9533333333333334\n"
     ]
    }
   ],
   "source": [
    "scores = cross_val_score(clf, X, y, cv = 10)\n",
    "print(\"Cross validated accuracy:\", scores.mean())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### K-Nearest Neighbors Classifier \n",
    "\n",
    "Classify a new example by voting using the labels of the $k$ nearest neighbors (see: https://scikit-learn.org/stable/modules/neighbors.html#nearest-neighbors-classification). \n",
    "\n",
    "__Scaling data:__ The $k$-nearest neighbor classifier uses Euclidean distance between the data points to determine the neighbors. It is often necessary to scale the data to avoid the problem that features with larger ranges dominate the distance calculation. Scaling can also be done more conveniently in scikit learn using `pipelines`  (see: https://scikit-learn.org/stable/modules/preprocessing.html#preprocessing)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th></th>\n",
       "      <th>0</th>\n",
       "      <th>1</th>\n",
       "      <th>2</th>\n",
       "      <th>3</th>\n",
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       "  <tbody>\n",
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       "      <th>0</th>\n",
       "      <td>0.761190</td>\n",
       "      <td>-0.151970</td>\n",
       "      <td>1.133675</td>\n",
       "      <td>1.267631</td>\n",
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       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>-1.095372</td>\n",
       "      <td>-1.788567</td>\n",
       "      <td>-0.289348</td>\n",
       "      <td>-0.304625</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>-0.971601</td>\n",
       "      <td>-1.320967</td>\n",
       "      <td>-0.460111</td>\n",
       "      <td>-0.173603</td>\n",
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       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>-0.228976</td>\n",
       "      <td>3.121224</td>\n",
       "      <td>-1.313924</td>\n",
       "      <td>-1.090752</td>\n",
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       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0.637420</td>\n",
       "      <td>-0.385769</td>\n",
       "      <td>0.279861</td>\n",
       "      <td>0.088439</td>\n",
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       "      <th>...</th>\n",
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       "      <th>115</th>\n",
       "      <td>1.875128</td>\n",
       "      <td>-0.619569</td>\n",
       "      <td>1.304437</td>\n",
       "      <td>0.874567</td>\n",
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       "      <td>-0.600288</td>\n",
       "      <td>0.783229</td>\n",
       "      <td>-1.313924</td>\n",
       "      <td>-1.090752</td>\n",
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       "      <td>0.884961</td>\n",
       "      <td>-0.151970</td>\n",
       "      <td>0.336782</td>\n",
       "      <td>0.219461</td>\n",
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       "      <th>118</th>\n",
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       "      <td>1.718427</td>\n",
       "      <td>-1.086240</td>\n",
       "      <td>-1.090752</td>\n",
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       "      <td>-0.228976</td>\n",
       "      <td>-0.619569</td>\n",
       "      <td>0.166019</td>\n",
       "      <td>0.088439</td>\n",
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       "            0         1         2         3\n",
       "0    0.761190 -0.151970  1.133675  1.267631\n",
       "1   -1.095372 -1.788567 -0.289348 -0.304625\n",
       "2   -0.971601 -1.320967 -0.460111 -0.173603\n",
       "3   -0.228976  3.121224 -1.313924 -1.090752\n",
       "4    0.637420 -0.385769  0.279861  0.088439\n",
       "..        ...       ...       ...       ...\n",
       "115  1.875128 -0.619569  1.304437  0.874567\n",
       "116 -0.600288  0.783229 -1.313924 -1.090752\n",
       "117  0.884961 -0.151970  0.336782  0.219461\n",
       "118 -0.971601  1.718427 -1.086240 -1.090752\n",
       "119 -0.228976 -0.619569  0.166019  0.088439\n",
       "\n",
       "[120 rows x 4 columns]"
      ]
     },
     "metadata": {},
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    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "y_test:\t [2, 0, 0, 2, 1, 1, 0, 2, 1, 0, 0, 0, 1, 1, 1, 0, 1, 0, 1, 2, 2, 2, 2, 2, 0, 0, 0, 2, 1, 1]\n",
      "pred:\t [2, 0, 0, 1, 1, 1, 0, 2, 1, 0, 1, 0, 1, 1, 1, 0, 1, 0, 1, 2, 2, 2, 1, 2, 0, 0, 0, 2, 1, 1]\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "0.9"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.neighbors import KNeighborsClassifier\n",
    "from sklearn import preprocessing\n",
    "\n",
    "# scale to z-scores (for each feature: subtract the mean and divide by the standard deviation of the column)\n",
    "scaler = preprocessing.StandardScaler().fit(X_train)\n",
    "X_train_scaled = scaler.transform(X_train)\n",
    "X_test_scaled = scaler.transform(X_test)\n",
    "display(pd.DataFrame(X_train_scaled))\n",
    "\n",
    "clf = KNeighborsClassifier(n_neighbors = 3)\n",
    "clf.fit(X_train_scaled, y_train)\n",
    "\n",
    "pred = clf.predict(X_test_scaled)\n",
    "\n",
    "print(\"y_test:\\t\", list(y_test))\n",
    "print(\"pred:\\t\",   list(pred))\n",
    "accuracy_score(pred, y_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Cross validated accuracy: 0.9533333333333334\n"
     ]
    }
   ],
   "source": [
    "scores = cross_val_score(clf, scaler.transform(X), y, cv = 10)\n",
    "print(\"Cross validated accuracy:\", scores.mean())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Support Vector Machines\n",
    "\n",
    "There are other kernel functions to learn non-linear decision boundaries (see: https://scikit-learn.org/stable/modules/svm.html)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "y_test:\t [2, 0, 0, 2, 1, 1, 0, 2, 1, 0, 0, 0, 1, 1, 1, 0, 1, 0, 1, 2, 2, 2, 2, 2, 0, 0, 0, 2, 1, 1]\n",
      "pred:\t [2, 0, 0, 1, 1, 1, 0, 2, 1, 0, 0, 0, 1, 1, 1, 0, 1, 0, 1, 2, 2, 2, 2, 2, 0, 0, 0, 2, 1, 1]\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "0.9666666666666667"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn import svm\n",
    "\n",
    "clf = svm.SVC(kernel = 'linear')\n",
    "clf.fit(X_train, y_train)\n",
    "\n",
    "pred = clf.predict(X_test)\n",
    "\n",
    "print(\"y_test:\\t\", list(y_test))\n",
    "print(\"pred:\\t\",   list(pred))\n",
    "accuracy_score(pred, y_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Cross validated accuracy: 0.9733333333333334\n"
     ]
    }
   ],
   "source": [
    "scores = cross_val_score(clf, X, y, cv = 10)\n",
    "print(\"Cross validated accuracy:\", scores.mean())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Neural Networks \n",
    "\n",
    "Use multi-layer perceptron (MLP) for classification (see: https://scikit-learn.org/stable/modules/neural_networks_supervised.html#classification)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                0           1           2           3\n",
      "count  120.000000  120.000000  120.000000  120.000000\n",
      "mean     0.440278    0.393182    0.466954    0.471875\n",
      "std      0.225370    0.195232    0.304171    0.319348\n",
      "min      0.000000    0.000000    0.000000    0.000000\n",
      "25%      0.222222    0.272727    0.086207    0.114583\n",
      "50%      0.430556    0.363636    0.577586    0.500000\n",
      "75%      0.583333    0.500000    0.689655    0.718750\n",
      "max      1.000000    1.000000    1.000000    1.000000\n",
      "y_test:\t [2, 0, 0, 2, 1, 1, 0, 2, 1, 0, 0, 0, 1, 1, 1, 0, 1, 0, 1, 2, 2, 2, 2, 2, 0, 0, 0, 2, 1, 1]\n",
      "pred:\t [2, 0, 0, 2, 1, 1, 0, 2, 1, 0, 0, 0, 1, 1, 1, 0, 1, 0, 1, 2, 2, 2, 2, 2, 0, 0, 0, 2, 1, 1]\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "1.0"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.neural_network import MLPClassifier\n",
    "from sklearn.preprocessing import MinMaxScaler\n",
    "\n",
    "# scale features for the artificial neural network to range [0,1]\n",
    "scaler = MinMaxScaler().fit(X_train)\n",
    "X_train_scaled = scaler.transform(X_train)\n",
    "X_test_scaled = scaler.transform(X_test)\n",
    "print(pd.DataFrame(X_train_scaled).describe())\n",
    "\n",
    "clf = MLPClassifier(solver='lbfgs',              # optimization algorithm\n",
    "                    alpha=1e-5,                  # L2 regularization \n",
    "                    hidden_layer_sizes=(10),     # one hidden layer with 10 neurons \n",
    "                    max_iter = 1000)             # max. number of iterations\n",
    "\n",
    "clf.fit(X_train_scaled, y_train)\n",
    "\n",
    "pred = clf.predict(X_test_scaled)\n",
    "\n",
    "print(\"y_test:\\t\", list(y_test))\n",
    "print(\"pred:\\t\",   list(pred))\n",
    "accuracy_score(pred, y_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Cross validated accuracy: 0.9800000000000001\n"
     ]
    }
   ],
   "source": [
    "scores = cross_val_score(clf, scaler.transform(X), y, cv = 10)\n",
    "print(\"Cross validated accuracy:\", scores.mean())\n"
   ]
  }
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