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nuc_machine_learning/Session 5/tutorial_5.ipynb
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{
"cells": [
{
"metadata": {},
"cell_type": "markdown",
"source": "# Activity sheet 5\n# Classification - Decision Trees\n**Objective** \\\nIn this lab exercise, you will learn a popular machine learning algorithm, Decision Tree. You will use this classification algorithm to build a model from historical data of patients, and their response to different medications. Then you use the trained decision tree to predict the class of a unknown patient, or to find a proper drug for a new patient.\n\n**Use case scenario and dataset description** \\\nIn today’s scenario you are a medical researcher compiling data for a study. You have collected data about a set of patients, all of whom suffered from the same illness. During their course of treatment, each patient responded to one of 5 medications, Drug A, Drug B, Drug C, Drug X and Drug Y. Part of your job is to build a model to find out, which drug might be appropriate for a future patient with the same illness. The feature sets of this dataset are Age, Sex, Blood Pressure, and Cholesterol of patients, and the target is the drug that each patient responded to. It is a sample of binary classifier, and you can use the training part of the dataset to build a decision tree, and then use it to predict the class of an unknown patient, or to prescribe it to a new patient.\nA little clarification on an attribute of the dataset, because it's not self- explanatory. The concentrations of sodium and potassium in the blood, is an important factor in drug development. The ‘Na_to_K’ attribute is the ratio of sodium (Na) to potassium (K)"
},
{
"metadata": {},
"cell_type": "markdown",
"source": "## Basic data processing\nUsing my_data as the Drug.csv data read by pandas, declare the following variables:\n* X as the Feature Matrix (data of my_data)\n* y as the response vector (target)\n\nRemove the column containing the target name since it doesn't contain numeric values.\nAs you may figure out, some features in this dataset are categorical such as Sex or BP. Unfortunately, Sklearn Decision Trees do not handle categorical variables. But still we can convert these features to numerical values. pandas.get_dummies() Convert categorical variable into dummy/indicator variables.\nAnd then you can fill the target variable and split your dataset into train and test sets."
},
{
"metadata": {},
"cell_type": "markdown",
"source": "___\n**Please see the alternative solutions in the bottom**\n___"
},
{
"metadata": {
"run_control": {
"marked": false
},
"trusted": false
},
"cell_type": "code",
"source": "import pandas as pd\nimport numpy as np\nimport matplotlib.pyplot as plt\nfrom sklearn.preprocessing import OrdinalEncoder, LabelEncoder\nfrom sklearn.compose import ColumnTransformer\nfrom sklearn.model_selection import train_test_split\nfrom sklearn.tree import DecisionTreeClassifier, plot_tree, export_text\nfrom sklearn.metrics import accuracy_score, confusion_matrix",
"execution_count": 1,
"outputs": []
},
{
"metadata": {
"trusted": false
},
"cell_type": "code",
"source": "df = pd.read_csv(\"drug200.csv\")",
"execution_count": 2,
"outputs": []
},
{
"metadata": {
"trusted": false
},
"cell_type": "code",
"source": "df.head()",
"execution_count": 3,
"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>Age</th>\n <th>Sex</th>\n <th>BP</th>\n <th>Cholesterol</th>\n <th>Na_to_K</th>\n <th>Drug</th>\n </tr>\n </thead>\n <tbody>\n <tr>\n <th>0</th>\n <td>23</td>\n <td>F</td>\n <td>HIGH</td>\n <td>HIGH</td>\n <td>25.355</td>\n <td>drugY</td>\n </tr>\n <tr>\n <th>1</th>\n <td>47</td>\n <td>M</td>\n <td>LOW</td>\n <td>HIGH</td>\n <td>13.093</td>\n <td>drugC</td>\n </tr>\n <tr>\n <th>2</th>\n <td>47</td>\n <td>M</td>\n <td>LOW</td>\n <td>HIGH</td>\n <td>10.114</td>\n <td>drugC</td>\n </tr>\n <tr>\n <th>3</th>\n <td>28</td>\n <td>F</td>\n <td>NORMAL</td>\n <td>HIGH</td>\n <td>7.798</td>\n <td>drugX</td>\n </tr>\n <tr>\n <th>4</th>\n <td>61</td>\n <td>F</td>\n <td>LOW</td>\n <td>HIGH</td>\n <td>18.043</td>\n <td>drugY</td>\n </tr>\n </tbody>\n</table>\n</div>",
"text/plain": " Age Sex BP Cholesterol Na_to_K Drug\n0 23 F HIGH HIGH 25.355 drugY\n1 47 M LOW HIGH 13.093 drugC\n2 47 M LOW HIGH 10.114 drugC\n3 28 F NORMAL HIGH 7.798 drugX\n4 61 F LOW HIGH 18.043 drugY"
},
"execution_count": 3,
"metadata": {},
"output_type": "execute_result"
}
]
},
{
"metadata": {
"trusted": false
},
"cell_type": "code",
"source": "df.info()",
"execution_count": 4,
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": "<class 'pandas.core.frame.DataFrame'>\nRangeIndex: 200 entries, 0 to 199\nData columns (total 6 columns):\n # Column Non-Null Count Dtype \n--- ------ -------------- ----- \n 0 Age 200 non-null int64 \n 1 Sex 200 non-null object \n 2 BP 200 non-null object \n 3 Cholesterol 200 non-null object \n 4 Na_to_K 200 non-null float64\n 5 Drug 200 non-null object \ndtypes: float64(1), int64(1), object(4)\nmemory usage: 9.5+ KB\n"
}
]
},
{
"metadata": {
"trusted": false
},
"cell_type": "code",
"source": "X = df.drop(\"Drug\", axis=1).copy().values # features",
"execution_count": 5,
"outputs": []
},
{
"metadata": {
"scrolled": false,
"trusted": false
},
"cell_type": "code",
"source": "le_sex = LabelEncoder()\nle_sex.fit([\"F\",\"M\"])\nX[:,1] = le_sex.transform(X[:,1]) \n\n\nle_BP = LabelEncoder()\nle_BP.fit([ \"LOW\", \"NORMAL\", \"HIGH\"])\nX[:,2] = le_BP.transform(X[:,2])\n\n\nle_Chol = LabelEncoder()\nle_Chol.fit([ \"NORMAL\", \"HIGH\"])\nX[:,3] = le_Chol.transform(X[:,3]) \n\nX[0:5]",
"execution_count": 6,
"outputs": [
{
"data": {
"text/plain": "array([[23, 0, 0, 0, 25.355],\n [47, 1, 1, 0, 13.093],\n [47, 1, 1, 0, 10.113999999999999],\n [28, 0, 2, 0, 7.797999999999999],\n [61, 0, 1, 0, 18.043]], dtype=object)"
},
"execution_count": 6,
"metadata": {},
"output_type": "execute_result"
}
]
},
{
"metadata": {
"trusted": false
},
"cell_type": "code",
"source": "y = df[\"Drug\"].copy() # target\ny[0:5]",
"execution_count": 7,
"outputs": [
{
"data": {
"text/plain": "0 drugY\n1 drugC\n2 drugC\n3 drugX\n4 drugY\nName: Drug, dtype: object"
},
"execution_count": 7,
"metadata": {},
"output_type": "execute_result"
}
]
},
{
"metadata": {
"trusted": false
},
"cell_type": "code",
"source": "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42)",
"execution_count": 8,
"outputs": []
},
{
"metadata": {},
"cell_type": "markdown",
"source": "## Modeling\nCreate an instance of the DecisionTreeClassifier called drugTree and inside the classifier, specify criterion=\"entropy\" so you can see the information gain of each node.\nNext, fit the data with the training feature matrix X_trainset and training response vector y_trainset"
},
{
"metadata": {
"trusted": false
},
"cell_type": "code",
"source": "clf = DecisionTreeClassifier(criterion=\"entropy\", max_depth=4)\nclf",
"execution_count": 9,
"outputs": [
{
"data": {
"text/plain": "DecisionTreeClassifier(criterion='entropy', max_depth=4)"
},
"execution_count": 9,
"metadata": {},
"output_type": "execute_result"
}
]
},
{
"metadata": {
"trusted": false
},
"cell_type": "code",
"source": "clf.fit(X_train, y_train)",
"execution_count": 10,
"outputs": [
{
"data": {
"text/plain": "DecisionTreeClassifier(criterion='entropy', max_depth=4)"
},
"execution_count": 10,
"metadata": {},
"output_type": "execute_result"
}
]
},
{
"metadata": {},
"cell_type": "markdown",
"source": "## Prediction\nMake some predictions on the testing dataset and store it into a variable called predTree.\nYou can print out predTree and y_testset if you want to visually compare the prediction to the actual values."
},
{
"metadata": {
"trusted": false
},
"cell_type": "code",
"source": "y_pred = clf.predict(X_test)",
"execution_count": 11,
"outputs": []
},
{
"metadata": {
"trusted": false
},
"cell_type": "code",
"source": "text_tree = export_text(clf)\nprint(text_tree)",
"execution_count": 12,
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": "|--- feature_4 <= 14.83\n| |--- feature_2 <= 0.50\n| | |--- feature_0 <= 50.50\n| | | |--- class: drugA\n| | |--- feature_0 > 50.50\n| | | |--- class: drugB\n| |--- feature_2 > 0.50\n| | |--- feature_2 <= 1.50\n| | | |--- feature_3 <= 0.50\n| | | | |--- class: drugC\n| | | |--- feature_3 > 0.50\n| | | | |--- class: drugX\n| | |--- feature_2 > 1.50\n| | | |--- class: drugX\n|--- feature_4 > 14.83\n| |--- class: drugY\n\n"
}
]
},
{
"metadata": {
"trusted": false
},
"cell_type": "code",
"source": "df.Drug.unique()",
"execution_count": 13,
"outputs": [
{
"data": {
"text/plain": "array(['drugY', 'drugC', 'drugX', 'drugA', 'drugB'], dtype=object)"
},
"execution_count": 13,
"metadata": {},
"output_type": "execute_result"
}
]
},
{
"metadata": {
"trusted": false
},
"cell_type": "code",
"source": "f_names = [\"Age\", \"Sex\", \"BP\", \"Cholesterol\", \"Na_to_K\"]\nc_names = [\"drugA\", \"drugB\", \"drugC\", \"drugX\", \"drugY\"]",
"execution_count": 14,
"outputs": []
},
{
"metadata": {
"trusted": false
},
"cell_type": "code",
"source": "plt.figure(figsize=(12,10))\nplot_tree(clf, class_names = c_names, feature_names = f_names, filled = True, fontsize =10);",
"execution_count": 15,
"outputs": [
{
"data": {
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\n",
"text/plain": "<Figure size 864x720 with 1 Axes>"
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
]
},
{
"metadata": {},
"cell_type": "markdown",
"source": "## Evaluation\nImport metrics from sklearn and check the accuracy of our model."
},
{
"metadata": {
"trusted": false
},
"cell_type": "code",
"source": "\"DecisionTrees's Accuracy: \", accuracy_score(y_test, y_pred)",
"execution_count": 16,
"outputs": [
{
"data": {
"text/plain": "(\"DecisionTrees's Accuracy: \", 1.0)"
},
"execution_count": 16,
"metadata": {},
"output_type": "execute_result"
}
]
},
{
"metadata": {},
"cell_type": "markdown",
"source": "## Better alternative 1"
},
{
"metadata": {
"trusted": false
},
"cell_type": "code",
"source": "X = df.drop(\"Drug\", axis=1).copy() # features\ny = df[\"Drug\"].copy() # target",
"execution_count": 17,
"outputs": []
},
{
"metadata": {
"trusted": false
},
"cell_type": "code",
"source": "X_train, X_test, y_train, y_test = train_test_split(X.copy(), y.copy(), test_size=0.2, random_state=42)",
"execution_count": 18,
"outputs": []
},
{
"metadata": {},
"cell_type": "markdown",
"source": "*OrdinalEncoder* should be used for features, and *LabelEncoder* should be used for the target variable.\n[StackExchange ref](https://datascience.stackexchange.com/questions/39317/difference-between-ordinalencoder-and-labelencoder/64177)"
},
{
"metadata": {
"trusted": false
},
"cell_type": "code",
"source": "ord_enc = OrdinalEncoder()",
"execution_count": 19,
"outputs": []
},
{
"metadata": {
"trusted": false
},
"cell_type": "code",
"source": "trans_cols = [\"Sex\", \"BP\", \"Cholesterol\"]\nX_train[trans_cols] = ord_enc.fit_transform(X_train[trans_cols])\nX_test[trans_cols] = ord_enc.fit_transform(X_test[trans_cols])",
"execution_count": 20,
"outputs": []
},
{
"metadata": {
"trusted": false
},
"cell_type": "code",
"source": "X_train.head()",
"execution_count": 21,
"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>Age</th>\n <th>Sex</th>\n <th>BP</th>\n <th>Cholesterol</th>\n <th>Na_to_K</th>\n </tr>\n </thead>\n <tbody>\n <tr>\n <th>79</th>\n <td>32</td>\n <td>0.0</td>\n <td>1.0</td>\n <td>1.0</td>\n <td>10.840</td>\n </tr>\n <tr>\n <th>197</th>\n <td>52</td>\n <td>1.0</td>\n <td>2.0</td>\n <td>0.0</td>\n <td>9.894</td>\n </tr>\n <tr>\n <th>38</th>\n <td>39</td>\n <td>0.0</td>\n <td>2.0</td>\n <td>1.0</td>\n <td>9.709</td>\n </tr>\n <tr>\n <th>24</th>\n <td>33</td>\n <td>0.0</td>\n <td>1.0</td>\n <td>0.0</td>\n <td>33.486</td>\n </tr>\n <tr>\n <th>122</th>\n <td>34</td>\n <td>1.0</td>\n <td>2.0</td>\n <td>0.0</td>\n <td>22.456</td>\n </tr>\n </tbody>\n</table>\n</div>",
"text/plain": " Age Sex BP Cholesterol Na_to_K\n79 32 0.0 1.0 1.0 10.840\n197 52 1.0 2.0 0.0 9.894\n38 39 0.0 2.0 1.0 9.709\n24 33 0.0 1.0 0.0 33.486\n122 34 1.0 2.0 0.0 22.456"
},
"execution_count": 21,
"metadata": {},
"output_type": "execute_result"
}
]
},
{
"metadata": {
"trusted": false
},
"cell_type": "code",
"source": "le = LabelEncoder()",
"execution_count": 22,
"outputs": []
},
{
"metadata": {
"trusted": false
},
"cell_type": "code",
"source": "y_train_example = le.fit_transform(y_train)\ndisplay(le.classes_)\ny_train_example",
"execution_count": 24,
"outputs": [
{
"data": {
"text/plain": "array(['drugA', 'drugB', 'drugC', 'drugX', 'drugY'], dtype=object)"
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/plain": "array([3, 3, 3, 4, 4, 2, 4, 4, 4, 3, 3, 4, 3, 4, 3, 4, 0, 4, 4, 4, 0, 4,\n 1, 4, 3, 4, 4, 4, 4, 1, 3, 3, 3, 1, 0, 3, 4, 3, 0, 3, 2, 4, 0, 0,\n 0, 1, 1, 0, 4, 0, 4, 4, 0, 4, 4, 4, 3, 4, 3, 4, 4, 3, 1, 3, 4, 0,\n 2, 4, 3, 3, 4, 4, 3, 3, 1, 4, 1, 3, 4, 4, 4, 1, 2, 0, 4, 4, 4, 0,\n 3, 3, 4, 2, 4, 4, 3, 1, 3, 3, 4, 4, 4, 4, 4, 4, 1, 3, 2, 0, 4, 0,\n 0, 3, 4, 4, 4, 4, 3, 4, 0, 3, 4, 4, 3, 4, 3, 1, 4, 4, 2, 3, 4, 4,\n 4, 4, 3, 4, 3, 3, 4, 2, 2, 4, 2, 4, 1, 3, 4, 3, 4, 4, 4, 3, 4, 4,\n 4, 3, 3, 4, 4, 2])"
},
"execution_count": 24,
"metadata": {},
"output_type": "execute_result"
}
]
},
{
"metadata": {
"trusted": false
},
"cell_type": "code",
"source": "le.inverse_transform(y_train_example)[0:5]",
"execution_count": 25,
"outputs": [
{
"data": {
"text/plain": "array(['drugX', 'drugX', 'drugX', 'drugY', 'drugY'], dtype=object)"
},
"execution_count": 25,
"metadata": {},
"output_type": "execute_result"
}
]
},
{
"metadata": {
"trusted": false
},
"cell_type": "code",
"source": "y_train[0:5]",
"execution_count": 26,
"outputs": [
{
"data": {
"text/plain": "79 drugX\n197 drugX\n38 drugX\n24 drugY\n122 drugY\nName: Drug, dtype: object"
},
"execution_count": 26,
"metadata": {},
"output_type": "execute_result"
}
]
},
{
"metadata": {
"trusted": false
},
"cell_type": "code",
"source": "clf = DecisionTreeClassifier(criterion=\"entropy\", max_depth=4)\nclf",
"execution_count": 27,
"outputs": [
{
"data": {
"text/plain": "DecisionTreeClassifier(criterion='entropy', max_depth=4)"
},
"execution_count": 27,
"metadata": {},
"output_type": "execute_result"
}
]
},
{
"metadata": {
"trusted": false
},
"cell_type": "code",
"source": "clf.fit(X_train, y_train)",
"execution_count": 28,
"outputs": [
{
"data": {
"text/plain": "DecisionTreeClassifier(criterion='entropy', max_depth=4)"
},
"execution_count": 28,
"metadata": {},
"output_type": "execute_result"
}
]
},
{
"metadata": {
"trusted": false
},
"cell_type": "code",
"source": "clf.classes_",
"execution_count": 29,
"outputs": [
{
"data": {
"text/plain": "array(['drugA', 'drugB', 'drugC', 'drugX', 'drugY'], dtype=object)"
},
"execution_count": 29,
"metadata": {},
"output_type": "execute_result"
}
]
},
{
"metadata": {
"trusted": false
},
"cell_type": "code",
"source": "clf.feature_importances_",
"execution_count": 30,
"outputs": [
{
"data": {
"text/plain": "array([0.09624656, 0. , 0.31003964, 0.07464853, 0.51906527])"
},
"execution_count": 30,
"metadata": {},
"output_type": "execute_result"
}
]
},
{
"metadata": {
"trusted": false
},
"cell_type": "code",
"source": "f_names = X_train.columns\nc_names = clf.classes_.tolist()",
"execution_count": 31,
"outputs": []
},
{
"metadata": {
"trusted": false
},
"cell_type": "code",
"source": "f_names",
"execution_count": 32,
"outputs": [
{
"data": {
"text/plain": "Index(['Age', 'Sex', 'BP', 'Cholesterol', 'Na_to_K'], dtype='object')"
},
"execution_count": 32,
"metadata": {},
"output_type": "execute_result"
}
]
},
{
"metadata": {
"trusted": false
},
"cell_type": "code",
"source": "text_tree = export_text(clf, feature_names=f_names.to_list())\nprint(text_tree)",
"execution_count": 33,
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": "|--- Na_to_K <= 14.83\n| |--- BP <= 0.50\n| | |--- Age <= 50.50\n| | | |--- class: drugA\n| | |--- Age > 50.50\n| | | |--- class: drugB\n| |--- BP > 0.50\n| | |--- BP <= 1.50\n| | | |--- Cholesterol <= 0.50\n| | | | |--- class: drugC\n| | | |--- Cholesterol > 0.50\n| | | | |--- class: drugX\n| | |--- BP > 1.50\n| | | |--- class: drugX\n|--- Na_to_K > 14.83\n| |--- class: drugY\n\n"
}
]
},
{
"metadata": {
"trusted": false
},
"cell_type": "code",
"source": "plt.figure(figsize=(12,10))\nplot_tree(clf, class_names = c_names, feature_names = f_names, filled = True, rounded=True, fontsize =10);",
"execution_count": 34,
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": "<Figure size 864x720 with 1 Axes>"
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
]
},
{
"metadata": {
"trusted": false
},
"cell_type": "code",
"source": "y_pred = clf.predict(X_test)",
"execution_count": 35,
"outputs": []
},
{
"metadata": {
"trusted": false
},
"cell_type": "code",
"source": "\"DecisionTrees's Accuracy: \", accuracy_score(y_test, y_pred)",
"execution_count": 36,
"outputs": [
{
"data": {
"text/plain": "(\"DecisionTrees's Accuracy: \", 1.0)"
},
"execution_count": 36,
"metadata": {},
"output_type": "execute_result"
}
]
},
{
"metadata": {},
"cell_type": "markdown",
"source": "## Better alternative 2"
},
{
"metadata": {
"trusted": false
},
"cell_type": "code",
"source": "X = df.drop(\"Drug\", axis=1).copy() # features\ny = df[\"Drug\"].copy() # target",
"execution_count": 37,
"outputs": []
},
{
"metadata": {
"trusted": false
},
"cell_type": "code",
"source": "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42)",
"execution_count": 38,
"outputs": []
},
{
"metadata": {
"trusted": false
},
"cell_type": "code",
"source": "X_train.head()",
"execution_count": 39,
"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>Age</th>\n <th>Sex</th>\n <th>BP</th>\n <th>Cholesterol</th>\n <th>Na_to_K</th>\n </tr>\n </thead>\n <tbody>\n <tr>\n <th>79</th>\n <td>32</td>\n <td>F</td>\n <td>LOW</td>\n <td>NORMAL</td>\n <td>10.840</td>\n </tr>\n <tr>\n <th>197</th>\n <td>52</td>\n <td>M</td>\n <td>NORMAL</td>\n <td>HIGH</td>\n <td>9.894</td>\n </tr>\n <tr>\n <th>38</th>\n <td>39</td>\n <td>F</td>\n <td>NORMAL</td>\n <td>NORMAL</td>\n <td>9.709</td>\n </tr>\n <tr>\n <th>24</th>\n <td>33</td>\n <td>F</td>\n <td>LOW</td>\n <td>HIGH</td>\n <td>33.486</td>\n </tr>\n <tr>\n <th>122</th>\n <td>34</td>\n <td>M</td>\n <td>NORMAL</td>\n <td>HIGH</td>\n <td>22.456</td>\n </tr>\n </tbody>\n</table>\n</div>",
"text/plain": " Age Sex BP Cholesterol Na_to_K\n79 32 F LOW NORMAL 10.840\n197 52 M NORMAL HIGH 9.894\n38 39 F NORMAL NORMAL 9.709\n24 33 F LOW HIGH 33.486\n122 34 M NORMAL HIGH 22.456"
},
"execution_count": 39,
"metadata": {},
"output_type": "execute_result"
}
]
},
{
"metadata": {
"trusted": false
},
"cell_type": "code",
"source": "ct = ColumnTransformer(transformers=[(\"Integer encoding\", OrdinalEncoder(categories=\"auto\"), [1,2,3])], remainder=\"passthrough\")",
"execution_count": 40,
"outputs": []
},
{
"metadata": {
"trusted": false
},
"cell_type": "code",
"source": "X_train = ct.fit_transform(X_train)\nX_test = ct.fit_transform(X_test)",
"execution_count": 41,
"outputs": []
},
{
"metadata": {
"trusted": false
},
"cell_type": "code",
"source": "X_train[0:5]",
"execution_count": 42,
"outputs": [
{
"data": {
"text/plain": "array([[ 0. , 1. , 1. , 32. , 10.84 ],\n [ 1. , 2. , 0. , 52. , 9.894],\n [ 0. , 2. , 1. , 39. , 9.709],\n [ 0. , 1. , 0. , 33. , 33.486],\n [ 1. , 2. , 0. , 34. , 22.456]])"
},
"execution_count": 42,
"metadata": {},
"output_type": "execute_result"
}
]
},
{
"metadata": {
"trusted": false
},
"cell_type": "code",
"source": "clf = DecisionTreeClassifier(criterion=\"entropy\", max_depth=4)\nclf",
"execution_count": 43,
"outputs": [
{
"data": {
"text/plain": "DecisionTreeClassifier(criterion='entropy', max_depth=4)"
},
"execution_count": 43,
"metadata": {},
"output_type": "execute_result"
}
]
},
{
"metadata": {
"trusted": false
},
"cell_type": "code",
"source": "clf.fit(X_train, y_train)",
"execution_count": 44,
"outputs": [
{
"data": {
"text/plain": "DecisionTreeClassifier(criterion='entropy', max_depth=4)"
},
"execution_count": 44,
"metadata": {},
"output_type": "execute_result"
}
]
},
{
"metadata": {
"trusted": false
},
"cell_type": "code",
"source": "clf.classes_",
"execution_count": 45,
"outputs": [
{
"data": {
"text/plain": "array(['drugA', 'drugB', 'drugC', 'drugX', 'drugY'], dtype=object)"
},
"execution_count": 45,
"metadata": {},
"output_type": "execute_result"
}
]
},
{
"metadata": {
"trusted": false
},
"cell_type": "code",
"source": "clf.feature_importances_",
"execution_count": 46,
"outputs": [
{
"data": {
"text/plain": "array([0. , 0.31003964, 0.07464853, 0.09624656, 0.51906527])"
},
"execution_count": 46,
"metadata": {},
"output_type": "execute_result"
}
]
},
{
"metadata": {
"trusted": false
},
"cell_type": "code",
"source": "y_pred = clf.predict(X_test)",
"execution_count": 47,
"outputs": []
},
{
"metadata": {
"trusted": false
},
"cell_type": "code",
"source": "",
"execution_count": null,
"outputs": []
},
{
"metadata": {
"trusted": false
},
"cell_type": "code",
"source": "text_tree = export_text(clf)\nprint(text_tree)",
"execution_count": 48,
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": "|--- feature_4 <= 14.83\n| |--- feature_1 <= 0.50\n| | |--- feature_3 <= 50.50\n| | | |--- class: drugA\n| | |--- feature_3 > 50.50\n| | | |--- class: drugB\n| |--- feature_1 > 0.50\n| | |--- feature_1 <= 1.50\n| | | |--- feature_2 <= 0.50\n| | | | |--- class: drugC\n| | | |--- feature_2 > 0.50\n| | | | |--- class: drugX\n| | |--- feature_1 > 1.50\n| | | |--- class: drugX\n|--- feature_4 > 14.83\n| |--- class: drugY\n\n"
}
]
},
{
"metadata": {
"trusted": false
},
"cell_type": "code",
"source": "f_names = [\"Sex\", \"BP\", \"Cholesterol\", \"Age\", \"Na_to_K\"]\nc_names = clf.classes_.tolist()",
"execution_count": 49,
"outputs": []
},
{
"metadata": {
"trusted": false
},
"cell_type": "code",
"source": "plt.figure(figsize=(12,10))\nplot_tree(clf, class_names = c_names, feature_names = f_names, filled = True, fontsize =10);",
"execution_count": 50,
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": "<Figure size 864x720 with 1 Axes>"
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
]
},
{
"metadata": {
"trusted": false
},
"cell_type": "code",
"source": "\"DecisionTrees's Accuracy: \", accuracy_score(y_test, y_pred)",
"execution_count": 51,
"outputs": [
{
"data": {
"text/plain": "(\"DecisionTrees's Accuracy: \", 1.0)"
},
"execution_count": 51,
"metadata": {},
"output_type": "execute_result"
}
]
},
{
"metadata": {
"trusted": false
},
"cell_type": "code",
"source": "",
"execution_count": null,
"outputs": []
},
{
"metadata": {
"trusted": false
},
"cell_type": "code",
"source": "",
"execution_count": null,
"outputs": []
}
],
"metadata": {
"hide_input": false,
"kernelspec": {
"name": "venv",
"display_name": "venv",
"language": "python"
},
"language_info": {
"name": "python",
"version": "3.8.3",
"mimetype": "text/x-python",
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"pygments_lexer": "ipython3",
"nbconvert_exporter": "python",
"file_extension": ".py"
},
"latex_envs": {
"eqNumInitial": 1,
"eqLabelWithNumbers": true,
"current_citInitial": 1,
"cite_by": "apalike",
"bibliofile": "biblio.bib",
"LaTeX_envs_menu_present": true,
"labels_anchors": false,
"latex_user_defs": false,
"user_envs_cfg": false,
"report_style_numbering": false,
"autoclose": false,
"autocomplete": true,
"hotkeys": {
"equation": "Ctrl-E",
"itemize": "Ctrl-I"
}
},
"toc": {
"nav_menu": {},
"number_sections": true,
"sideBar": true,
"skip_h1_title": true,
"base_numbering": 1,
"title_cell": "Table of Contents",
"title_sidebar": "Contents",
"toc_cell": false,
"toc_position": {},
"toc_section_display": true,
"toc_window_display": false
},
"varInspector": {
"window_display": false,
"cols": {
"lenName": 16,
"lenType": 16,
"lenVar": 40
},
"kernels_config": {
"python": {
"library": "var_list.py",
"delete_cmd_prefix": "del ",
"delete_cmd_postfix": "",
"varRefreshCmd": "print(var_dic_list())"
},
"r": {
"library": "var_list.r",
"delete_cmd_prefix": "rm(",
"delete_cmd_postfix": ") ",
"varRefreshCmd": "cat(var_dic_list()) "
}
},
"types_to_exclude": [
"module",
"function",
"builtin_function_or_method",
"instance",
"_Feature"
]
},
"gist": {
"id": "",
"data": {
"description": "nuc_machine_learning/Session 5/tutorial_5.ipynb",
"public": false
}
}
},
"nbformat": 4,
"nbformat_minor": 4
}
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