2234 lines (2233 with data), 1.1 MB
{
"cells": [
{
"cell_type": "code",
"execution_count": 167,
"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.preprocessing import StandardScaler\n",
"from sklearn.model_selection import train_test_split\n",
"from sklearn.linear_model import LogisticRegression\n",
"from sklearn.metrics import accuracy_score, confusion_matrix, precision_recall_fscore_support\n",
"from sklearn.naive_bayes import GaussianNB\n",
"from sklearn.neighbors import KNeighborsClassifier\n",
"from sklearn.tree import DecisionTreeClassifier\n",
"from sklearn import tree\n",
"from sklearn.ensemble import RandomForestClassifier\n",
"from sklearn.svm import SVC\n",
"import pickle as pkl"
]
},
{
"cell_type": "code",
"execution_count": 168,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
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"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>Pregnancies</th>\n",
" <th>Glucose</th>\n",
" <th>BloodPressure</th>\n",
" <th>SkinThickness</th>\n",
" <th>Insulin</th>\n",
" <th>BMI</th>\n",
" <th>DiabetesPedigreeFunction</th>\n",
" <th>Age</th>\n",
" <th>Outcome</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>6</td>\n",
" <td>148</td>\n",
" <td>72</td>\n",
" <td>35</td>\n",
" <td>0</td>\n",
" <td>33.6</td>\n",
" <td>0.627</td>\n",
" <td>50</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>1</td>\n",
" <td>85</td>\n",
" <td>66</td>\n",
" <td>29</td>\n",
" <td>0</td>\n",
" <td>26.6</td>\n",
" <td>0.351</td>\n",
" <td>31</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>8</td>\n",
" <td>183</td>\n",
" <td>64</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>23.3</td>\n",
" <td>0.672</td>\n",
" <td>32</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>1</td>\n",
" <td>89</td>\n",
" <td>66</td>\n",
" <td>23</td>\n",
" <td>94</td>\n",
" <td>28.1</td>\n",
" <td>0.167</td>\n",
" <td>21</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>0</td>\n",
" <td>137</td>\n",
" <td>40</td>\n",
" <td>35</td>\n",
" <td>168</td>\n",
" <td>43.1</td>\n",
" <td>2.288</td>\n",
" <td>33</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>...</th>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>763</th>\n",
" <td>10</td>\n",
" <td>101</td>\n",
" <td>76</td>\n",
" <td>48</td>\n",
" <td>180</td>\n",
" <td>32.9</td>\n",
" <td>0.171</td>\n",
" <td>63</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>764</th>\n",
" <td>2</td>\n",
" <td>122</td>\n",
" <td>70</td>\n",
" <td>27</td>\n",
" <td>0</td>\n",
" <td>36.8</td>\n",
" <td>0.340</td>\n",
" <td>27</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>765</th>\n",
" <td>5</td>\n",
" <td>121</td>\n",
" <td>72</td>\n",
" <td>23</td>\n",
" <td>112</td>\n",
" <td>26.2</td>\n",
" <td>0.245</td>\n",
" <td>30</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>766</th>\n",
" <td>1</td>\n",
" <td>126</td>\n",
" <td>60</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>30.1</td>\n",
" <td>0.349</td>\n",
" <td>47</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>767</th>\n",
" <td>1</td>\n",
" <td>93</td>\n",
" <td>70</td>\n",
" <td>31</td>\n",
" <td>0</td>\n",
" <td>30.4</td>\n",
" <td>0.315</td>\n",
" <td>23</td>\n",
" <td>0</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>768 rows × 9 columns</p>\n",
"</div>"
],
"text/plain": [
" Pregnancies Glucose BloodPressure SkinThickness Insulin BMI \\\n",
"0 6 148 72 35 0 33.6 \n",
"1 1 85 66 29 0 26.6 \n",
"2 8 183 64 0 0 23.3 \n",
"3 1 89 66 23 94 28.1 \n",
"4 0 137 40 35 168 43.1 \n",
".. ... ... ... ... ... ... \n",
"763 10 101 76 48 180 32.9 \n",
"764 2 122 70 27 0 36.8 \n",
"765 5 121 72 23 112 26.2 \n",
"766 1 126 60 0 0 30.1 \n",
"767 1 93 70 31 0 30.4 \n",
"\n",
" DiabetesPedigreeFunction Age Outcome \n",
"0 0.627 50 1 \n",
"1 0.351 31 0 \n",
"2 0.672 32 1 \n",
"3 0.167 21 0 \n",
"4 2.288 33 1 \n",
".. ... ... ... \n",
"763 0.171 63 0 \n",
"764 0.340 27 0 \n",
"765 0.245 30 0 \n",
"766 0.349 47 1 \n",
"767 0.315 23 0 \n",
"\n",
"[768 rows x 9 columns]"
]
},
"execution_count": 168,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df = pd.read_csv('diabetes.csv')\n",
"df"
]
},
{
"cell_type": "code",
"execution_count": 113,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"(768, 9)"
]
},
"execution_count": 113,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df.shape"
]
},
{
"cell_type": "code",
"execution_count": 114,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"Pregnancies 0\n",
"Glucose 0\n",
"BloodPressure 0\n",
"SkinThickness 0\n",
"Insulin 0\n",
"BMI 0\n",
"DiabetesPedigreeFunction 0\n",
"Age 0\n",
"Outcome 0\n",
"dtype: int64"
]
},
"execution_count": 114,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df.isnull().sum()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"- There are no null values"
]
},
{
"cell_type": "code",
"execution_count": 115,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"<class 'pandas.core.frame.DataFrame'>\n",
"RangeIndex: 768 entries, 0 to 767\n",
"Data columns (total 9 columns):\n",
" # Column Non-Null Count Dtype \n",
"--- ------ -------------- ----- \n",
" 0 Pregnancies 768 non-null int64 \n",
" 1 Glucose 768 non-null int64 \n",
" 2 BloodPressure 768 non-null int64 \n",
" 3 SkinThickness 768 non-null int64 \n",
" 4 Insulin 768 non-null int64 \n",
" 5 BMI 768 non-null float64\n",
" 6 DiabetesPedigreeFunction 768 non-null float64\n",
" 7 Age 768 non-null int64 \n",
" 8 Outcome 768 non-null int64 \n",
"dtypes: float64(2), int64(7)\n",
"memory usage: 54.1 KB\n"
]
}
],
"source": [
"df.info()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"- Statistical analysis of the data"
]
},
{
"cell_type": "code",
"execution_count": 116,
"metadata": {},
"outputs": [
{
"data": {
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"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>Pregnancies</th>\n",
" <th>Glucose</th>\n",
" <th>BloodPressure</th>\n",
" <th>SkinThickness</th>\n",
" <th>Insulin</th>\n",
" <th>BMI</th>\n",
" <th>DiabetesPedigreeFunction</th>\n",
" <th>Age</th>\n",
" <th>Outcome</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>count</th>\n",
" <td>768.000000</td>\n",
" <td>768.000000</td>\n",
" <td>768.000000</td>\n",
" <td>768.000000</td>\n",
" <td>768.000000</td>\n",
" <td>768.000000</td>\n",
" <td>768.000000</td>\n",
" <td>768.000000</td>\n",
" <td>768.000000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>mean</th>\n",
" <td>3.845052</td>\n",
" <td>120.894531</td>\n",
" <td>69.105469</td>\n",
" <td>20.536458</td>\n",
" <td>79.799479</td>\n",
" <td>31.992578</td>\n",
" <td>0.471876</td>\n",
" <td>33.240885</td>\n",
" <td>0.348958</td>\n",
" </tr>\n",
" <tr>\n",
" <th>std</th>\n",
" <td>3.369578</td>\n",
" <td>31.972618</td>\n",
" <td>19.355807</td>\n",
" <td>15.952218</td>\n",
" <td>115.244002</td>\n",
" <td>7.884160</td>\n",
" <td>0.331329</td>\n",
" <td>11.760232</td>\n",
" <td>0.476951</td>\n",
" </tr>\n",
" <tr>\n",
" <th>min</th>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.078000</td>\n",
" <td>21.000000</td>\n",
" <td>0.000000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>25%</th>\n",
" <td>1.000000</td>\n",
" <td>99.000000</td>\n",
" <td>62.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>27.300000</td>\n",
" <td>0.243750</td>\n",
" <td>24.000000</td>\n",
" <td>0.000000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>50%</th>\n",
" <td>3.000000</td>\n",
" <td>117.000000</td>\n",
" <td>72.000000</td>\n",
" <td>23.000000</td>\n",
" <td>30.500000</td>\n",
" <td>32.000000</td>\n",
" <td>0.372500</td>\n",
" <td>29.000000</td>\n",
" <td>0.000000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>75%</th>\n",
" <td>6.000000</td>\n",
" <td>140.250000</td>\n",
" <td>80.000000</td>\n",
" <td>32.000000</td>\n",
" <td>127.250000</td>\n",
" <td>36.600000</td>\n",
" <td>0.626250</td>\n",
" <td>41.000000</td>\n",
" <td>1.000000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>max</th>\n",
" <td>17.000000</td>\n",
" <td>199.000000</td>\n",
" <td>122.000000</td>\n",
" <td>99.000000</td>\n",
" <td>846.000000</td>\n",
" <td>67.100000</td>\n",
" <td>2.420000</td>\n",
" <td>81.000000</td>\n",
" <td>1.000000</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" Pregnancies Glucose BloodPressure SkinThickness Insulin \\\n",
"count 768.000000 768.000000 768.000000 768.000000 768.000000 \n",
"mean 3.845052 120.894531 69.105469 20.536458 79.799479 \n",
"std 3.369578 31.972618 19.355807 15.952218 115.244002 \n",
"min 0.000000 0.000000 0.000000 0.000000 0.000000 \n",
"25% 1.000000 99.000000 62.000000 0.000000 0.000000 \n",
"50% 3.000000 117.000000 72.000000 23.000000 30.500000 \n",
"75% 6.000000 140.250000 80.000000 32.000000 127.250000 \n",
"max 17.000000 199.000000 122.000000 99.000000 846.000000 \n",
"\n",
" BMI DiabetesPedigreeFunction Age Outcome \n",
"count 768.000000 768.000000 768.000000 768.000000 \n",
"mean 31.992578 0.471876 33.240885 0.348958 \n",
"std 7.884160 0.331329 11.760232 0.476951 \n",
"min 0.000000 0.078000 21.000000 0.000000 \n",
"25% 27.300000 0.243750 24.000000 0.000000 \n",
"50% 32.000000 0.372500 29.000000 0.000000 \n",
"75% 36.600000 0.626250 41.000000 1.000000 \n",
"max 67.100000 2.420000 81.000000 1.000000 "
]
},
"execution_count": 116,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df.describe()"
]
},
{
"cell_type": "code",
"execution_count": 117,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"Outcome\n",
"0 500\n",
"1 268\n",
"Name: count, dtype: int64"
]
},
"execution_count": 117,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"target_vals = df['Outcome'].value_counts()\n",
"target_vals"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"- 0 --> Non-diabetic patients\n",
"- 1 --> Diabetic patients"
]
},
{
"cell_type": "code",
"execution_count": 118,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
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"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>Pregnancies</th>\n",
" <th>Glucose</th>\n",
" <th>BloodPressure</th>\n",
" <th>SkinThickness</th>\n",
" <th>Insulin</th>\n",
" <th>BMI</th>\n",
" <th>DiabetesPedigreeFunction</th>\n",
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" <tr>\n",
" <th>Outcome</th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
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" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>3.298000</td>\n",
" <td>109.980000</td>\n",
" <td>68.184000</td>\n",
" <td>19.664000</td>\n",
" <td>68.792000</td>\n",
" <td>30.304200</td>\n",
" <td>0.429734</td>\n",
" <td>31.190000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>4.865672</td>\n",
" <td>141.257463</td>\n",
" <td>70.824627</td>\n",
" <td>22.164179</td>\n",
" <td>100.335821</td>\n",
" <td>35.142537</td>\n",
" <td>0.550500</td>\n",
" <td>37.067164</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" Pregnancies Glucose BloodPressure SkinThickness Insulin \\\n",
"Outcome \n",
"0 3.298000 109.980000 68.184000 19.664000 68.792000 \n",
"1 4.865672 141.257463 70.824627 22.164179 100.335821 \n",
"\n",
" BMI DiabetesPedigreeFunction Age \n",
"Outcome \n",
"0 30.304200 0.429734 31.190000 \n",
"1 35.142537 0.550500 37.067164 "
]
},
"execution_count": 118,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df.groupby('Outcome').mean()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"- Above table shows that the mean of all the features is higher for diabetic patients than non-diabetic patients. This means that the diabetic patients have higher values of all the features than non-diabetic patients.\n",
"\n",
"- Moreover, people with diabetes have much higher value of glucose and insulin than people without diabetes."
]
},
{
"cell_type": "code",
"execution_count": 171,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<Axes: >"
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},
"execution_count": 171,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
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",
"text/plain": [
"<Figure size 900x700 with 2 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"plt.figure(figsize=(9, 7))\n",
"sns.heatmap(df.corr(), annot=True, fmt='.2%')"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"- All the columns are moderately correlated"
]
},
{
"cell_type": "code",
"execution_count": 120,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Percentage of patients without diabetes: 65.0\n",
"Percentage of patients with diabetes: 35.0\n"
]
}
],
"source": [
"print(\"Percentage of patients without diabetes: \" , round(target_vals[0]/len(df.Outcome), 2)*100)\n",
"print(\"Percentage of patients with diabetes: \" , round(target_vals[1]/len(df.Outcome), 2)*100)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"- Separating data and labels"
]
},
{
"cell_type": "code",
"execution_count": 121,
"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>Pregnancies</th>\n",
" <th>Glucose</th>\n",
" <th>BloodPressure</th>\n",
" <th>SkinThickness</th>\n",
" <th>Insulin</th>\n",
" <th>BMI</th>\n",
" <th>DiabetesPedigreeFunction</th>\n",
" <th>Age</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>6</td>\n",
" <td>148</td>\n",
" <td>72</td>\n",
" <td>35</td>\n",
" <td>0</td>\n",
" <td>33.6</td>\n",
" <td>0.627</td>\n",
" <td>50</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>1</td>\n",
" <td>85</td>\n",
" <td>66</td>\n",
" <td>29</td>\n",
" <td>0</td>\n",
" <td>26.6</td>\n",
" <td>0.351</td>\n",
" <td>31</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>8</td>\n",
" <td>183</td>\n",
" <td>64</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>23.3</td>\n",
" <td>0.672</td>\n",
" <td>32</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>1</td>\n",
" <td>89</td>\n",
" <td>66</td>\n",
" <td>23</td>\n",
" <td>94</td>\n",
" <td>28.1</td>\n",
" <td>0.167</td>\n",
" <td>21</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>0</td>\n",
" <td>137</td>\n",
" <td>40</td>\n",
" <td>35</td>\n",
" <td>168</td>\n",
" <td>43.1</td>\n",
" <td>2.288</td>\n",
" <td>33</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" Pregnancies Glucose BloodPressure SkinThickness Insulin BMI \\\n",
"0 6 148 72 35 0 33.6 \n",
"1 1 85 66 29 0 26.6 \n",
"2 8 183 64 0 0 23.3 \n",
"3 1 89 66 23 94 28.1 \n",
"4 0 137 40 35 168 43.1 \n",
"\n",
" DiabetesPedigreeFunction Age \n",
"0 0.627 50 \n",
"1 0.351 31 \n",
"2 0.672 32 \n",
"3 0.167 21 \n",
"4 2.288 33 "
]
},
"execution_count": 121,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"x = df.drop(columns='Outcome', axis = 1)\n",
"x.head()"
]
},
{
"cell_type": "code",
"execution_count": 122,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"0 1\n",
"1 0\n",
"2 1\n",
"3 0\n",
"4 1\n",
"Name: Outcome, dtype: int64"
]
},
"execution_count": 122,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"y = df['Outcome']\n",
"y.head()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"- Data Standardization"
]
},
{
"cell_type": "code",
"execution_count": 123,
"metadata": {},
"outputs": [],
"source": [
"scalar = StandardScaler()"
]
},
{
"cell_type": "code",
"execution_count": 124,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<style>#sk-container-id-15 {color: black;}#sk-container-id-15 pre{padding: 0;}#sk-container-id-15 div.sk-toggleable {background-color: white;}#sk-container-id-15 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-15 label.sk-toggleable__label-arrow:before {content: \"▸\";float: left;margin-right: 0.25em;color: #696969;}#sk-container-id-15 label.sk-toggleable__label-arrow:hover:before {color: black;}#sk-container-id-15 div.sk-estimator:hover label.sk-toggleable__label-arrow:before {color: black;}#sk-container-id-15 div.sk-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}#sk-container-id-15 div.sk-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}#sk-container-id-15 input.sk-toggleable__control:checked~div.sk-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}#sk-container-id-15 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {content: \"▾\";}#sk-container-id-15 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-15 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-15 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-15 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-15 div.sk-estimator:hover {background-color: #d4ebff;}#sk-container-id-15 div.sk-parallel-item::after {content: \"\";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}#sk-container-id-15 div.sk-label:hover label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-15 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-15 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-15 div.sk-item {position: relative;z-index: 1;}#sk-container-id-15 div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: white;position: relative;}#sk-container-id-15 div.sk-item::before, #sk-container-id-15 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-15 div.sk-parallel-item {display: flex;flex-direction: column;z-index: 1;position: relative;background-color: white;}#sk-container-id-15 div.sk-parallel-item:first-child::after {align-self: flex-end;width: 50%;}#sk-container-id-15 div.sk-parallel-item:last-child::after {align-self: flex-start;width: 50%;}#sk-container-id-15 div.sk-parallel-item:only-child::after {width: 0;}#sk-container-id-15 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-15 div.sk-label label {font-family: monospace;font-weight: bold;display: inline-block;line-height: 1.2em;}#sk-container-id-15 div.sk-label-container {text-align: center;}#sk-container-id-15 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-15 div.sk-text-repr-fallback {display: none;}</style><div id=\"sk-container-id-15\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>StandardScaler()</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-15\" type=\"checkbox\" checked><label for=\"sk-estimator-id-15\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">StandardScaler</label><div class=\"sk-toggleable__content\"><pre>StandardScaler()</pre></div></div></div></div></div>"
],
"text/plain": [
"StandardScaler()"
]
},
"execution_count": 124,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"scalar.fit(x)"
]
},
{
"cell_type": "code",
"execution_count": 125,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"array([[ 0.63994726, 0.84832379, 0.14964075, ..., 0.20401277,\n",
" 0.46849198, 1.4259954 ],\n",
" [-0.84488505, -1.12339636, -0.16054575, ..., -0.68442195,\n",
" -0.36506078, -0.19067191],\n",
" [ 1.23388019, 1.94372388, -0.26394125, ..., -1.10325546,\n",
" 0.60439732, -0.10558415],\n",
" ...,\n",
" [ 0.3429808 , 0.00330087, 0.14964075, ..., -0.73518964,\n",
" -0.68519336, -0.27575966],\n",
" [-0.84488505, 0.1597866 , -0.47073225, ..., -0.24020459,\n",
" -0.37110101, 1.17073215],\n",
" [-0.84488505, -0.8730192 , 0.04624525, ..., -0.20212881,\n",
" -0.47378505, -0.87137393]])"
]
},
"execution_count": 125,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"standardized_data = scalar.transform(x)\n",
"standardized_data"
]
},
{
"cell_type": "code",
"execution_count": 126,
"metadata": {},
"outputs": [],
"source": [
"pkl.dump(scalar, open('scaler.pkl', 'wb'))\n",
"# scalar"
]
},
{
"cell_type": "code",
"execution_count": 127,
"metadata": {},
"outputs": [],
"source": [
"X = standardized_data\n",
"Y = df['Outcome']"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"- train test split\n"
]
},
{
"cell_type": "code",
"execution_count": 128,
"metadata": {},
"outputs": [],
"source": [
"train_x, test_x, train_y, test_y = train_test_split(X, Y, test_size = 0.2, stratify=y, random_state = 2)"
]
},
{
"cell_type": "code",
"execution_count": 129,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"(614, 8)"
]
},
"execution_count": 129,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"train_x.shape"
]
},
{
"cell_type": "code",
"execution_count": 130,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"(154, 8)"
]
},
"execution_count": 130,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"test_x.shape\n"
]
},
{
"cell_type": "code",
"execution_count": 131,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"(614,)"
]
},
"execution_count": 131,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"train_y.shape"
]
},
{
"cell_type": "code",
"execution_count": 132,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"(154,)"
]
},
"execution_count": 132,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"\n",
"test_y.shape\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"- Model Training"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"- LOGISTIC REGRESSION\n"
]
},
{
"cell_type": "code",
"execution_count": 133,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<style>#sk-container-id-16 {color: black;}#sk-container-id-16 pre{padding: 0;}#sk-container-id-16 div.sk-toggleable {background-color: white;}#sk-container-id-16 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-16 label.sk-toggleable__label-arrow:before {content: \"▸\";float: left;margin-right: 0.25em;color: #696969;}#sk-container-id-16 label.sk-toggleable__label-arrow:hover:before {color: black;}#sk-container-id-16 div.sk-estimator:hover label.sk-toggleable__label-arrow:before {color: black;}#sk-container-id-16 div.sk-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}#sk-container-id-16 div.sk-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}#sk-container-id-16 input.sk-toggleable__control:checked~div.sk-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}#sk-container-id-16 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {content: \"▾\";}#sk-container-id-16 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-16 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-16 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-16 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-16 div.sk-estimator:hover {background-color: #d4ebff;}#sk-container-id-16 div.sk-parallel-item::after {content: \"\";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}#sk-container-id-16 div.sk-label:hover label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-16 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-16 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-16 div.sk-item {position: relative;z-index: 1;}#sk-container-id-16 div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: white;position: relative;}#sk-container-id-16 div.sk-item::before, #sk-container-id-16 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-16 div.sk-parallel-item {display: flex;flex-direction: column;z-index: 1;position: relative;background-color: white;}#sk-container-id-16 div.sk-parallel-item:first-child::after {align-self: flex-end;width: 50%;}#sk-container-id-16 div.sk-parallel-item:last-child::after {align-self: flex-start;width: 50%;}#sk-container-id-16 div.sk-parallel-item:only-child::after {width: 0;}#sk-container-id-16 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-16 div.sk-label label {font-family: monospace;font-weight: bold;display: inline-block;line-height: 1.2em;}#sk-container-id-16 div.sk-label-container {text-align: center;}#sk-container-id-16 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-16 div.sk-text-repr-fallback {display: none;}</style><div id=\"sk-container-id-16\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>LogisticRegression()</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-16\" type=\"checkbox\" checked><label for=\"sk-estimator-id-16\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">LogisticRegression</label><div class=\"sk-toggleable__content\"><pre>LogisticRegression()</pre></div></div></div></div></div>"
],
"text/plain": [
"LogisticRegression()"
]
},
"execution_count": 133,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"lr = LogisticRegression()\n",
"lr = lr.fit(train_x, train_y)\n",
"lr"
]
},
{
"cell_type": "code",
"execution_count": 134,
"metadata": {},
"outputs": [],
"source": [
"logistic_train_pred = lr.predict(train_x)\n",
"logistic_test_pred = lr.predict(test_x)"
]
},
{
"cell_type": "code",
"execution_count": 135,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Logistic Regression Training Accuracy: 79.0\n",
"Logistic Regression Testing Accuracy: 76.0\n"
]
}
],
"source": [
"print(\"Logistic Regression Training Accuracy: \", round(accuracy_score(train_y, logistic_train_pred), 2)*100)\n",
"print(\"Logistic Regression Testing Accuracy: \", round(accuracy_score(test_y, logistic_test_pred), 2)*100)"
]
},
{
"cell_type": "code",
"execution_count": 136,
"metadata": {},
"outputs": [],
"source": [
"pkl.dump(lr, open('lr.pkl', 'wb'))\n",
"# lr"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"- KNN"
]
},
{
"cell_type": "code",
"execution_count": 140,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<style>#sk-container-id-18 {color: black;}#sk-container-id-18 pre{padding: 0;}#sk-container-id-18 div.sk-toggleable {background-color: white;}#sk-container-id-18 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-18 label.sk-toggleable__label-arrow:before {content: \"▸\";float: left;margin-right: 0.25em;color: #696969;}#sk-container-id-18 label.sk-toggleable__label-arrow:hover:before {color: black;}#sk-container-id-18 div.sk-estimator:hover label.sk-toggleable__label-arrow:before {color: black;}#sk-container-id-18 div.sk-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}#sk-container-id-18 div.sk-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}#sk-container-id-18 input.sk-toggleable__control:checked~div.sk-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}#sk-container-id-18 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {content: \"▾\";}#sk-container-id-18 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-18 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-18 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-18 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-18 div.sk-estimator:hover {background-color: #d4ebff;}#sk-container-id-18 div.sk-parallel-item::after {content: \"\";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}#sk-container-id-18 div.sk-label:hover label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-18 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-18 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-18 div.sk-item {position: relative;z-index: 1;}#sk-container-id-18 div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: white;position: relative;}#sk-container-id-18 div.sk-item::before, #sk-container-id-18 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-18 div.sk-parallel-item {display: flex;flex-direction: column;z-index: 1;position: relative;background-color: white;}#sk-container-id-18 div.sk-parallel-item:first-child::after {align-self: flex-end;width: 50%;}#sk-container-id-18 div.sk-parallel-item:last-child::after {align-self: flex-start;width: 50%;}#sk-container-id-18 div.sk-parallel-item:only-child::after {width: 0;}#sk-container-id-18 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-18 div.sk-label label {font-family: monospace;font-weight: bold;display: inline-block;line-height: 1.2em;}#sk-container-id-18 div.sk-label-container {text-align: center;}#sk-container-id-18 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-18 div.sk-text-repr-fallback {display: none;}</style><div id=\"sk-container-id-18\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>KNeighborsClassifier(n_neighbors=50)</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-18\" type=\"checkbox\" checked><label for=\"sk-estimator-id-18\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">KNeighborsClassifier</label><div class=\"sk-toggleable__content\"><pre>KNeighborsClassifier(n_neighbors=50)</pre></div></div></div></div></div>"
],
"text/plain": [
"KNeighborsClassifier(n_neighbors=50)"
]
},
"execution_count": 140,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"knn = KNeighborsClassifier(n_neighbors=50)\n",
"knn.fit(train_x, train_y)\n"
]
},
{
"cell_type": "code",
"execution_count": 141,
"metadata": {},
"outputs": [],
"source": [
"knn_train_pred = knn.predict(train_x)\n",
"knn_test_pred = knn.predict(test_x)"
]
},
{
"cell_type": "code",
"execution_count": 142,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"KNN Training Accuracy: 77.0\n",
"KNN Testing Accuracy: 73.0\n"
]
}
],
"source": [
"print(\"KNN Training Accuracy: \", round(accuracy_score(train_y, knn_train_pred), 2)*100)\n",
"print(\"KNN Testing Accuracy: \", round(accuracy_score(test_y, knn_test_pred), 2)*100)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"- Decision Trees"
]
},
{
"cell_type": "code",
"execution_count": 143,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
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],
"text/plain": [
"DecisionTreeClassifier(random_state=91)"
]
},
"execution_count": 143,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"max_accuracy = 0 \n",
"for i in range(2000):\n",
" clf = DecisionTreeClassifier(random_state = i)\n",
" clf.fit(train_x, train_y)\n",
" pred = clf.predict(test_x)\n",
" current_accuracy = round(accuracy_score(pred, test_y)*100,2)\n",
" if(current_accuracy > max_accuracy):\n",
" max_accuracy = current_accuracy\n",
" best_random_state = i\n",
"\n",
"# print(\"Best Random State: \", best_random_state)\n",
"# print(\"Best Accuracy: \", max_accuracy)\n",
"\n",
"clf = DecisionTreeClassifier(random_state = best_random_state)\n",
"clf.fit(train_x, train_y)"
]
},
{
"cell_type": "code",
"execution_count": 144,
"metadata": {},
"outputs": [
{
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]
},
"execution_count": 144,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
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",
"text/plain": [
"<Figure size 640x480 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"tree.plot_tree(clf)"
]
},
{
"cell_type": "code",
"execution_count": 145,
"metadata": {},
"outputs": [],
"source": [
"decision_train_pred = clf.predict(train_x)\n",
"decision_test_pred = clf.predict(test_x)"
]
},
{
"cell_type": "code",
"execution_count": 146,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Decision Tree Training Accuracy: 100.0\n",
"Decision Tree Testing Accuracy: 73.0\n"
]
}
],
"source": [
"print(\"Decision Tree Training Accuracy: \", round(accuracy_score(train_y, decision_train_pred), 2)*100)\n",
"print(\"Decision Tree Testing Accuracy: \", round(accuracy_score(test_y, decision_test_pred), 2)*100)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"\n",
"- Random Forest"
]
},
{
"cell_type": "code",
"execution_count": 147,
"metadata": {},
"outputs": [],
"source": [
"rf = RandomForestClassifier(n_estimators=500, random_state = best_random_state)"
]
},
{
"cell_type": "code",
"execution_count": 148,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<style>#sk-container-id-20 {color: black;}#sk-container-id-20 pre{padding: 0;}#sk-container-id-20 div.sk-toggleable {background-color: white;}#sk-container-id-20 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-20 label.sk-toggleable__label-arrow:before {content: \"▸\";float: left;margin-right: 0.25em;color: #696969;}#sk-container-id-20 label.sk-toggleable__label-arrow:hover:before {color: black;}#sk-container-id-20 div.sk-estimator:hover label.sk-toggleable__label-arrow:before {color: black;}#sk-container-id-20 div.sk-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}#sk-container-id-20 div.sk-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}#sk-container-id-20 input.sk-toggleable__control:checked~div.sk-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}#sk-container-id-20 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {content: \"▾\";}#sk-container-id-20 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-20 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-20 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-20 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-20 div.sk-estimator:hover {background-color: #d4ebff;}#sk-container-id-20 div.sk-parallel-item::after {content: \"\";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}#sk-container-id-20 div.sk-label:hover label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-20 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-20 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-20 div.sk-item {position: relative;z-index: 1;}#sk-container-id-20 div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: white;position: relative;}#sk-container-id-20 div.sk-item::before, #sk-container-id-20 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-20 div.sk-parallel-item {display: flex;flex-direction: column;z-index: 1;position: relative;background-color: white;}#sk-container-id-20 div.sk-parallel-item:first-child::after {align-self: flex-end;width: 50%;}#sk-container-id-20 div.sk-parallel-item:last-child::after {align-self: flex-start;width: 50%;}#sk-container-id-20 div.sk-parallel-item:only-child::after {width: 0;}#sk-container-id-20 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-20 div.sk-label label {font-family: monospace;font-weight: bold;display: inline-block;line-height: 1.2em;}#sk-container-id-20 div.sk-label-container {text-align: center;}#sk-container-id-20 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-20 div.sk-text-repr-fallback {display: none;}</style><div id=\"sk-container-id-20\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>RandomForestClassifier(n_estimators=500, random_state=91)</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-20\" type=\"checkbox\" checked><label for=\"sk-estimator-id-20\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">RandomForestClassifier</label><div class=\"sk-toggleable__content\"><pre>RandomForestClassifier(n_estimators=500, random_state=91)</pre></div></div></div></div></div>"
],
"text/plain": [
"RandomForestClassifier(n_estimators=500, random_state=91)"
]
},
"execution_count": 148,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"rf.fit(train_x, train_y)"
]
},
{
"cell_type": "code",
"execution_count": 149,
"metadata": {},
"outputs": [],
"source": [
"rf_train_pred = rf.predict(train_x)\n",
"rf_test_pred = rf.predict(test_x)"
]
},
{
"cell_type": "code",
"execution_count": 150,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Random Forest Training Accuracy: 100.0\n",
"Random Forest Testing Accuracy: 73.0\n"
]
}
],
"source": [
"print(\"Random Forest Training Accuracy: \", round(accuracy_score(train_y, rf_train_pred), 2)*100)\n",
"print(\"Random Forest Testing Accuracy: \", round(accuracy_score(test_y, rf_test_pred), 2)*100)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"- SVM"
]
},
{
"cell_type": "code",
"execution_count": 151,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<style>#sk-container-id-21 {color: black;}#sk-container-id-21 pre{padding: 0;}#sk-container-id-21 div.sk-toggleable {background-color: white;}#sk-container-id-21 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-21 label.sk-toggleable__label-arrow:before {content: \"▸\";float: left;margin-right: 0.25em;color: #696969;}#sk-container-id-21 label.sk-toggleable__label-arrow:hover:before {color: black;}#sk-container-id-21 div.sk-estimator:hover label.sk-toggleable__label-arrow:before {color: black;}#sk-container-id-21 div.sk-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}#sk-container-id-21 div.sk-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}#sk-container-id-21 input.sk-toggleable__control:checked~div.sk-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}#sk-container-id-21 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {content: \"▾\";}#sk-container-id-21 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-21 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-21 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-21 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-21 div.sk-estimator:hover {background-color: #d4ebff;}#sk-container-id-21 div.sk-parallel-item::after {content: \"\";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}#sk-container-id-21 div.sk-label:hover label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-21 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-21 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-21 div.sk-item {position: relative;z-index: 1;}#sk-container-id-21 div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: white;position: relative;}#sk-container-id-21 div.sk-item::before, #sk-container-id-21 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-21 div.sk-parallel-item {display: flex;flex-direction: column;z-index: 1;position: relative;background-color: white;}#sk-container-id-21 div.sk-parallel-item:first-child::after {align-self: flex-end;width: 50%;}#sk-container-id-21 div.sk-parallel-item:last-child::after {align-self: flex-start;width: 50%;}#sk-container-id-21 div.sk-parallel-item:only-child::after {width: 0;}#sk-container-id-21 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-21 div.sk-label label {font-family: monospace;font-weight: bold;display: inline-block;line-height: 1.2em;}#sk-container-id-21 div.sk-label-container {text-align: center;}#sk-container-id-21 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-21 div.sk-text-repr-fallback {display: none;}</style><div id=\"sk-container-id-21\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>SVC(kernel='linear')</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-21\" type=\"checkbox\" checked><label for=\"sk-estimator-id-21\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">SVC</label><div class=\"sk-toggleable__content\"><pre>SVC(kernel='linear')</pre></div></div></div></div></div>"
],
"text/plain": [
"SVC(kernel='linear')"
]
},
"execution_count": 151,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"classifier = SVC(kernel = 'linear')\n",
"classifier.fit(train_x, train_y)\n"
]
},
{
"cell_type": "code",
"execution_count": 152,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"SVM Training Accuracy: 78.66\n",
"SVM Testing Accuracy: 77.27\n"
]
}
],
"source": [
"print(\"SVM Training Accuracy: \", round(classifier.score(train_x, train_y)*100, 2))\n",
"print(\"SVM Testing Accuracy: \", round(classifier.score(test_x, test_y)*100, 2))"
]
},
{
"cell_type": "code",
"execution_count": 153,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"array([ 10. , 139. , 80. , 0. , 0. , 27.1 , 1.441,\n",
" 57. ])"
]
},
"execution_count": 153,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"input_data = (10,139,80,0,0,27.1,1.441,57)\n",
"data = np.array(input_data)\n",
"data"
]
},
{
"cell_type": "code",
"execution_count": 154,
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"c:\\Users\\bcchh\\anaconda3\\Lib\\site-packages\\sklearn\\base.py:464: UserWarning: X does not have valid feature names, but StandardScaler was fitted with feature names\n",
" warnings.warn(\n"
]
}
],
"source": [
"std_data = scalar.transform(data.reshape(1, -1))"
]
},
{
"cell_type": "code",
"execution_count": 155,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"array([1], dtype=int64)"
]
},
"execution_count": 155,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"prediction = nb.predict(std_data)\n",
"prediction"
]
},
{
"cell_type": "code",
"execution_count": 156,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"The patient has diabetes\n"
]
}
],
"source": [
"if prediction == 1:\n",
" print(\"The patient has diabetes\")\n",
"else:\n",
" print(\"The patient does not have diabetes\")"
]
},
{
"cell_type": "code",
"execution_count": 157,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"Index(['Pregnancies', 'Glucose', 'BloodPressure', 'SkinThickness', 'Insulin',\n",
" 'BMI', 'DiabetesPedigreeFunction', 'Age', 'Outcome'],\n",
" dtype='object')"
]
},
"execution_count": 157,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df.columns"
]
},
{
"cell_type": "code",
"execution_count": 158,
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"c:\\Users\\bcchh\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n",
" with pd.option_context('mode.use_inf_as_na', True):\n",
"c:\\Users\\bcchh\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1075: FutureWarning: When grouping with a length-1 list-like, you will need to pass a length-1 tuple to get_group in a future version of pandas. Pass `(name,)` instead of `name` to silence this warning.\n",
" data_subset = grouped_data.get_group(pd_key)\n",
"c:\\Users\\bcchh\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1075: FutureWarning: When grouping with a length-1 list-like, you will need to pass a length-1 tuple to get_group in a future version of pandas. Pass `(name,)` instead of `name` to silence this warning.\n",
" data_subset = grouped_data.get_group(pd_key)\n",
"c:\\Users\\bcchh\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1075: FutureWarning: When grouping with a length-1 list-like, you will need to pass a length-1 tuple to get_group in a future version of pandas. Pass `(name,)` instead of `name` to silence this warning.\n",
" data_subset = grouped_data.get_group(pd_key)\n",
"c:\\Users\\bcchh\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n",
" with pd.option_context('mode.use_inf_as_na', True):\n",
"c:\\Users\\bcchh\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1075: FutureWarning: When grouping with a length-1 list-like, you will need to pass a length-1 tuple to get_group in a future version of pandas. Pass `(name,)` instead of `name` to silence this warning.\n",
" data_subset = grouped_data.get_group(pd_key)\n",
"c:\\Users\\bcchh\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1075: FutureWarning: When grouping with a length-1 list-like, you will need to pass a length-1 tuple to get_group in a future version of pandas. Pass `(name,)` instead of `name` to silence this warning.\n",
" data_subset = grouped_data.get_group(pd_key)\n",
"c:\\Users\\bcchh\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n",
" with pd.option_context('mode.use_inf_as_na', True):\n",
"c:\\Users\\bcchh\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1075: FutureWarning: When grouping with a length-1 list-like, you will need to pass a length-1 tuple to get_group in a future version of pandas. Pass `(name,)` instead of `name` to silence this warning.\n",
" data_subset = grouped_data.get_group(pd_key)\n",
"c:\\Users\\bcchh\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1075: FutureWarning: When grouping with a length-1 list-like, you will need to pass a length-1 tuple to get_group in a future version of pandas. Pass `(name,)` instead of `name` to silence this warning.\n",
" data_subset = grouped_data.get_group(pd_key)\n",
"c:\\Users\\bcchh\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1075: FutureWarning: When grouping with a length-1 list-like, you will need to pass a length-1 tuple to get_group in a future version of pandas. Pass `(name,)` instead of `name` to silence this warning.\n",
" data_subset = grouped_data.get_group(pd_key)\n",
"c:\\Users\\bcchh\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n",
" with pd.option_context('mode.use_inf_as_na', True):\n",
"c:\\Users\\bcchh\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1075: FutureWarning: When grouping with a length-1 list-like, you will need to pass a length-1 tuple to get_group in a future version of pandas. Pass `(name,)` instead of `name` to silence this warning.\n",
" data_subset = grouped_data.get_group(pd_key)\n",
"c:\\Users\\bcchh\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1075: FutureWarning: When grouping with a length-1 list-like, you will need to pass a length-1 tuple to get_group in a future version of pandas. Pass `(name,)` instead of `name` to silence this warning.\n",
" data_subset = grouped_data.get_group(pd_key)\n",
"c:\\Users\\bcchh\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n",
" with pd.option_context('mode.use_inf_as_na', True):\n",
"c:\\Users\\bcchh\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1075: FutureWarning: When grouping with a length-1 list-like, you will need to pass a length-1 tuple to get_group in a future version of pandas. Pass `(name,)` instead of `name` to silence this warning.\n",
" data_subset = grouped_data.get_group(pd_key)\n",
"c:\\Users\\bcchh\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1075: FutureWarning: When grouping with a length-1 list-like, you will need to pass a length-1 tuple to get_group in a future version of pandas. Pass `(name,)` instead of `name` to silence this warning.\n",
" data_subset = grouped_data.get_group(pd_key)\n",
"c:\\Users\\bcchh\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1075: FutureWarning: When grouping with a length-1 list-like, you will need to pass a length-1 tuple to get_group in a future version of pandas. Pass `(name,)` instead of `name` to silence this warning.\n",
" data_subset = grouped_data.get_group(pd_key)\n",
"c:\\Users\\bcchh\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n",
" with pd.option_context('mode.use_inf_as_na', True):\n",
"c:\\Users\\bcchh\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1075: FutureWarning: When grouping with a length-1 list-like, you will need to pass a length-1 tuple to get_group in a future version of pandas. Pass `(name,)` instead of `name` to silence this warning.\n",
" data_subset = grouped_data.get_group(pd_key)\n",
"c:\\Users\\bcchh\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1075: FutureWarning: When grouping with a length-1 list-like, you will need to pass a length-1 tuple to get_group in a future version of pandas. Pass `(name,)` instead of `name` to silence this warning.\n",
" data_subset = grouped_data.get_group(pd_key)\n",
"c:\\Users\\bcchh\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1075: FutureWarning: When grouping with a length-1 list-like, you will need to pass a length-1 tuple to get_group in a future version of pandas. Pass `(name,)` instead of `name` to silence this warning.\n",
" data_subset = grouped_data.get_group(pd_key)\n",
"c:\\Users\\bcchh\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n",
" with pd.option_context('mode.use_inf_as_na', True):\n",
"c:\\Users\\bcchh\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1075: FutureWarning: When grouping with a length-1 list-like, you will need to pass a length-1 tuple to get_group in a future version of pandas. Pass `(name,)` instead of `name` to silence this warning.\n",
" data_subset = grouped_data.get_group(pd_key)\n",
"c:\\Users\\bcchh\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1075: FutureWarning: When grouping with a length-1 list-like, you will need to pass a length-1 tuple to get_group in a future version of pandas. Pass `(name,)` instead of `name` to silence this warning.\n",
" data_subset = grouped_data.get_group(pd_key)\n",
"c:\\Users\\bcchh\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1075: FutureWarning: When grouping with a length-1 list-like, you will need to pass a length-1 tuple to get_group in a future version of pandas. Pass `(name,)` instead of `name` to silence this warning.\n",
" data_subset = grouped_data.get_group(pd_key)\n",
"c:\\Users\\bcchh\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n",
" with pd.option_context('mode.use_inf_as_na', True):\n",
"c:\\Users\\bcchh\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1075: FutureWarning: When grouping with a length-1 list-like, you will need to pass a length-1 tuple to get_group in a future version of pandas. Pass `(name,)` instead of `name` to silence this warning.\n",
" data_subset = grouped_data.get_group(pd_key)\n",
"c:\\Users\\bcchh\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1075: FutureWarning: When grouping with a length-1 list-like, you will need to pass a length-1 tuple to get_group in a future version of pandas. Pass `(name,)` instead of `name` to silence this warning.\n",
" data_subset = grouped_data.get_group(pd_key)\n",
"c:\\Users\\bcchh\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1075: FutureWarning: When grouping with a length-1 list-like, you will need to pass a length-1 tuple to get_group in a future version of pandas. Pass `(name,)` instead of `name` to silence this warning.\n",
" data_subset = grouped_data.get_group(pd_key)\n"
]
},
{
"data": {
"text/plain": [
"Text(0.5, 0, 'SkinThickness')"
]
},
"execution_count": 158,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
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",
"text/plain": [
"<Figure size 2000x2500 with 8 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"fig, ax = plt.subplots(4, 2, figsize=(20, 25))\n",
"plt.style.use('ggplot')\n",
"\n",
"sns.histplot(x = df['Age'], hue = df['Outcome'], palette=\"viridis\",kde = True, ax = ax[0, 0])\n",
"ax[0,0].set_xlabel('Age', fontsize = 15)\n",
"\n",
"sns.histplot(x = df['BMI'], hue = df['Outcome'], palette=\"viridis\",kde = True, ax = ax[0, 1])\n",
"ax[0,1].set_xlabel('BMI', fontsize = 15)\n",
"\n",
"\n",
"sns.histplot(x = df['BloodPressure'], hue = df['Outcome'], palette=\"dark\",kde = True, ax = ax[1, 0])\n",
"ax[1,0].set_xlabel('BloodPressure', fontsize = 15)\n",
"\n",
"sns.histplot(x = df['DiabetesPedigreeFunction'], hue = df['Outcome'], palette=\"dark\",kde = True, ax = ax[1, 1])\n",
"ax[1,1].set_xlabel('DiabetesPedigreeFunction', fontsize = 15)\n",
"\n",
"\n",
"sns.histplot(x = df['Glucose'], hue = df['Outcome'], palette=\"flare\",kde = True, ax = ax[2, 0])\n",
"ax[2,0].set_xlabel('Glucose', fontsize = 15)\n",
"\n",
"sns.histplot(x = df['Insulin'], hue = df['Outcome'], palette=\"flare\",kde = True, ax = ax[2, 1])\n",
"ax[2,1].set_xlabel('Insulin', fontsize = 15)\n",
"\n",
"\n",
"sns.histplot(x = df['Pregnancies'], hue = df['Outcome'], palette=\"viridis\",kde = True, ax = ax[3, 0])\n",
"ax[3,0].set_xlabel('Pregnancies', fontsize = 15)\n",
"\n",
"sns.histplot(x = df['SkinThickness'], hue = df['Outcome'], palette=\"viridis\",kde = True, ax = ax[3, 1])\n",
"ax[3,1].set_xlabel('SkinThickness', fontsize = 15)\n"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
},
{
"cell_type": "code",
"execution_count": 159,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"array([[87, 13],\n",
" [28, 26]], dtype=int64)"
]
},
"execution_count": 159,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"cf_matrix = confusion_matrix(test_y, rf_test_pred)\n",
"cf_matrix\n",
"\n",
"# Order: TN, FP, FN, TP "
]
},
{
"cell_type": "code",
"execution_count": 160,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"87 13 28 26\n"
]
}
],
"source": [
"tn, fp, fn, tp = cf_matrix.ravel()\n",
"print(tn, fp, fn, tp)\n",
"\n",
"# Ravel function is used to extract the confusion matrix values"
]
},
{
"cell_type": "code",
"execution_count": 161,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<Axes: >"
]
},
"execution_count": 161,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 640x480 with 2 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"sns.heatmap(cf_matrix, annot=True)\n",
"\n",
"# Annot displays labels"
]
},
{
"cell_type": "code",
"execution_count": 162,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"(0.7568615126754661, 0.727037037037037, 0.736649240240387, None)"
]
},
"execution_count": 162,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"precision_recall_fscore_support(test_y, naive_test_pred, average = 'macro')"
]
},
{
"cell_type": "code",
"execution_count": 163,
"metadata": {},
"outputs": [],
"source": [
"pkl.dump(nb, open('nb.pkl', 'wb'))\n",
"# nb"
]
},
{
"cell_type": "code",
"execution_count": 166,
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"c:\\Users\\bcchh\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n",
" with pd.option_context('mode.use_inf_as_na', True):\n",
"c:\\Users\\bcchh\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1075: FutureWarning: When grouping with a length-1 list-like, you will need to pass a length-1 tuple to get_group in a future version of pandas. Pass `(name,)` instead of `name` to silence this warning.\n",
" data_subset = grouped_data.get_group(pd_key)\n",
"c:\\Users\\bcchh\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1075: FutureWarning: When grouping with a length-1 list-like, you will need to pass a length-1 tuple to get_group in a future version of pandas. Pass `(name,)` instead of `name` to silence this warning.\n",
" data_subset = grouped_data.get_group(pd_key)\n",
"c:\\Users\\bcchh\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1075: FutureWarning: When grouping with a length-1 list-like, you will need to pass a length-1 tuple to get_group in a future version of pandas. Pass `(name,)` instead of `name` to silence this warning.\n",
" data_subset = grouped_data.get_group(pd_key)\n"
]
},
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 800x400 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"c:\\Users\\bcchh\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n",
" with pd.option_context('mode.use_inf_as_na', True):\n",
"c:\\Users\\bcchh\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1075: FutureWarning: When grouping with a length-1 list-like, you will need to pass a length-1 tuple to get_group in a future version of pandas. Pass `(name,)` instead of `name` to silence this warning.\n",
" data_subset = grouped_data.get_group(pd_key)\n",
"c:\\Users\\bcchh\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1075: FutureWarning: When grouping with a length-1 list-like, you will need to pass a length-1 tuple to get_group in a future version of pandas. Pass `(name,)` instead of `name` to silence this warning.\n",
" data_subset = grouped_data.get_group(pd_key)\n"
]
},
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 800x400 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"c:\\Users\\bcchh\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n",
" with pd.option_context('mode.use_inf_as_na', True):\n",
"c:\\Users\\bcchh\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1075: FutureWarning: When grouping with a length-1 list-like, you will need to pass a length-1 tuple to get_group in a future version of pandas. Pass `(name,)` instead of `name` to silence this warning.\n",
" data_subset = grouped_data.get_group(pd_key)\n",
"c:\\Users\\bcchh\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1075: FutureWarning: When grouping with a length-1 list-like, you will need to pass a length-1 tuple to get_group in a future version of pandas. Pass `(name,)` instead of `name` to silence this warning.\n",
" data_subset = grouped_data.get_group(pd_key)\n",
"c:\\Users\\bcchh\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1075: FutureWarning: When grouping with a length-1 list-like, you will need to pass a length-1 tuple to get_group in a future version of pandas. Pass `(name,)` instead of `name` to silence this warning.\n",
" data_subset = grouped_data.get_group(pd_key)\n"
]
},
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 800x400 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"c:\\Users\\bcchh\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n",
" with pd.option_context('mode.use_inf_as_na', True):\n",
"c:\\Users\\bcchh\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1075: FutureWarning: When grouping with a length-1 list-like, you will need to pass a length-1 tuple to get_group in a future version of pandas. Pass `(name,)` instead of `name` to silence this warning.\n",
" data_subset = grouped_data.get_group(pd_key)\n",
"c:\\Users\\bcchh\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1075: FutureWarning: When grouping with a length-1 list-like, you will need to pass a length-1 tuple to get_group in a future version of pandas. Pass `(name,)` instead of `name` to silence this warning.\n",
" data_subset = grouped_data.get_group(pd_key)\n"
]
},
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 800x400 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"c:\\Users\\bcchh\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n",
" with pd.option_context('mode.use_inf_as_na', True):\n",
"c:\\Users\\bcchh\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1075: FutureWarning: When grouping with a length-1 list-like, you will need to pass a length-1 tuple to get_group in a future version of pandas. Pass `(name,)` instead of `name` to silence this warning.\n",
" data_subset = grouped_data.get_group(pd_key)\n",
"c:\\Users\\bcchh\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1075: FutureWarning: When grouping with a length-1 list-like, you will need to pass a length-1 tuple to get_group in a future version of pandas. Pass `(name,)` instead of `name` to silence this warning.\n",
" data_subset = grouped_data.get_group(pd_key)\n",
"c:\\Users\\bcchh\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1075: FutureWarning: When grouping with a length-1 list-like, you will need to pass a length-1 tuple to get_group in a future version of pandas. Pass `(name,)` instead of `name` to silence this warning.\n",
" data_subset = grouped_data.get_group(pd_key)\n"
]
},
{
"data": {
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",
"text/plain": [
"<Figure size 800x400 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"c:\\Users\\bcchh\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n",
" with pd.option_context('mode.use_inf_as_na', True):\n",
"c:\\Users\\bcchh\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1075: FutureWarning: When grouping with a length-1 list-like, you will need to pass a length-1 tuple to get_group in a future version of pandas. Pass `(name,)` instead of `name` to silence this warning.\n",
" data_subset = grouped_data.get_group(pd_key)\n",
"c:\\Users\\bcchh\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1075: FutureWarning: When grouping with a length-1 list-like, you will need to pass a length-1 tuple to get_group in a future version of pandas. Pass `(name,)` instead of `name` to silence this warning.\n",
" data_subset = grouped_data.get_group(pd_key)\n",
"c:\\Users\\bcchh\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1075: FutureWarning: When grouping with a length-1 list-like, you will need to pass a length-1 tuple to get_group in a future version of pandas. Pass `(name,)` instead of `name` to silence this warning.\n",
" data_subset = grouped_data.get_group(pd_key)\n"
]
},
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 800x400 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"c:\\Users\\bcchh\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n",
" with pd.option_context('mode.use_inf_as_na', True):\n",
"c:\\Users\\bcchh\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1075: FutureWarning: When grouping with a length-1 list-like, you will need to pass a length-1 tuple to get_group in a future version of pandas. Pass `(name,)` instead of `name` to silence this warning.\n",
" data_subset = grouped_data.get_group(pd_key)\n",
"c:\\Users\\bcchh\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1075: FutureWarning: When grouping with a length-1 list-like, you will need to pass a length-1 tuple to get_group in a future version of pandas. Pass `(name,)` instead of `name` to silence this warning.\n",
" data_subset = grouped_data.get_group(pd_key)\n",
"c:\\Users\\bcchh\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1075: FutureWarning: When grouping with a length-1 list-like, you will need to pass a length-1 tuple to get_group in a future version of pandas. Pass `(name,)` instead of `name` to silence this warning.\n",
" data_subset = grouped_data.get_group(pd_key)\n"
]
},
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 800x400 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"c:\\Users\\bcchh\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n",
" with pd.option_context('mode.use_inf_as_na', True):\n",
"c:\\Users\\bcchh\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1075: FutureWarning: When grouping with a length-1 list-like, you will need to pass a length-1 tuple to get_group in a future version of pandas. Pass `(name,)` instead of `name` to silence this warning.\n",
" data_subset = grouped_data.get_group(pd_key)\n",
"c:\\Users\\bcchh\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1075: FutureWarning: When grouping with a length-1 list-like, you will need to pass a length-1 tuple to get_group in a future version of pandas. Pass `(name,)` instead of `name` to silence this warning.\n",
" data_subset = grouped_data.get_group(pd_key)\n",
"c:\\Users\\bcchh\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1075: FutureWarning: When grouping with a length-1 list-like, you will need to pass a length-1 tuple to get_group in a future version of pandas. Pass `(name,)` instead of `name` to silence this warning.\n",
" data_subset = grouped_data.get_group(pd_key)\n"
]
},
{
"data": {
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",
"text/plain": [
"<Figure size 800x400 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"import matplotlib.pyplot as plt\n",
"import seaborn as sns\n",
"\n",
"plt.style.use('ggplot')\n",
"\n",
"# Plot for Age\n",
"plt.figure(figsize=(8, 4))\n",
"sns.histplot(x=df['Age'], hue=df['Outcome'], palette=\"viridis\", kde=True)\n",
"plt.xlabel('Age', fontsize=15)\n",
"plt.title('Age Distribution by Outcome')\n",
"plt.show()\n",
"\n",
"# Plot for BMI\n",
"plt.figure(figsize=(8, 4))\n",
"sns.histplot(x=df['BMI'], hue=df['Outcome'], palette=\"viridis\", kde=True)\n",
"plt.xlabel('BMI', fontsize=15)\n",
"plt.title('BMI Distribution by Outcome')\n",
"plt.show()\n",
"\n",
"# Plot for BloodPressure\n",
"plt.figure(figsize=(8, 4))\n",
"sns.histplot(x=df['BloodPressure'], hue=df['Outcome'], palette=\"dark\", kde=True)\n",
"plt.xlabel('BloodPressure', fontsize=15)\n",
"plt.title('Blood Pressure Distribution by Outcome')\n",
"plt.show()\n",
"\n",
"# Plot for DiabetesPedigreeFunction\n",
"plt.figure(figsize=(8,4))\n",
"sns.histplot(x=df['DiabetesPedigreeFunction'], hue=df['Outcome'], palette=\"dark\", kde=True)\n",
"plt.xlabel('DiabetesPedigreeFunction', fontsize=15)\n",
"plt.title('Diabetes Pedigree Function Distribution by Outcome')\n",
"plt.show()\n",
"\n",
"# Plot for Glucose\n",
"plt.figure(figsize=(8,4))\n",
"sns.histplot(x=df['Glucose'], hue=df['Outcome'], palette=\"flare\", kde=True)\n",
"plt.xlabel('Glucose', fontsize=15)\n",
"plt.title('Glucose Distribution by Outcome')\n",
"plt.show()\n",
"\n",
"# Plot for Insulin\n",
"plt.figure(figsize=(8,4))\n",
"sns.histplot(x=df['Insulin'], hue=df['Outcome'], palette=\"flare\", kde=True)\n",
"plt.xlabel('Insulin', fontsize=15)\n",
"plt.title('Insulin Distribution by Outcome')\n",
"plt.show()\n",
"\n",
"# Plot for Pregnancies\n",
"plt.figure(figsize=(8,4))\n",
"sns.histplot(x=df['Pregnancies'], hue=df['Outcome'], palette=\"viridis\", kde=True)\n",
"plt.xlabel('Pregnancies', fontsize=15)\n",
"plt.title('Pregnancies Distribution by Outcome')\n",
"plt.show()\n",
"\n",
"# Plot for SkinThickness\n",
"plt.figure(figsize=(8,4))\n",
"sns.histplot(x=df['SkinThickness'], hue=df['Outcome'], palette=\"viridis\", kde=True)\n",
"plt.xlabel('SkinThickness', fontsize=15)\n",
"plt.title('Skin Thickness Distribution by Outcome')\n",
"plt.show()\n"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.11.5"
}
},
"nbformat": 4,
"nbformat_minor": 2
}