{
"cells": [
{
"cell_type": "code",
"execution_count": 52,
"metadata": {},
"outputs": [],
"source": [
"import pandas as pd\n",
"import numpy as np\n",
"import matplotlib.pyplot as plt\n",
"from pandas.plotting import scatter_matrix\n",
"import seaborn as sns\n",
"from sklearn.model_selection import train_test_split\n",
"from sklearn.preprocessing import StandardScaler\n",
"from sklearn.metrics import accuracy_score, classification_report\n",
"from sklearn.linear_model import LogisticRegression\n",
"from sklearn.tree import DecisionTreeClassifier\n",
"from sklearn.svm import SVC\n",
"from sklearn.neighbors import KNeighborsClassifier\n",
"from sklearn.ensemble import RandomForestClassifier\n",
"from imblearn.over_sampling import SMOTE\n",
"from sklearn.model_selection import GridSearchCV"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"- Age:The age of the individual, expressed in years\n",
"- Gender:The gender of the individual, categorized as male or female.\n",
"- Height:The height of the individual, typically measured in centimeters or inches.\n",
"- Weight:The weight of the individual, typically measured in kilograms or pounds.\n",
"- BMI:A calculated metric derived from the individual's weight and height\n",
"- PhysicalActivityLevel: This variable quantifies the individual's level of physical activity\n",
"- ObesityCategory: Categorization of individuals based on their BMI into different obesity categories"
]
},
{
"cell_type": "code",
"execution_count": 53,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"\n",
"\n",
"
\n",
" \n",
" \n",
" | \n",
" Age | \n",
" Gender | \n",
" Height | \n",
" Weight | \n",
" BMI | \n",
" PhysicalActivityLevel | \n",
" ObesityCategory | \n",
"
\n",
" \n",
" \n",
" \n",
" | 0 | \n",
" 56 | \n",
" Male | \n",
" 173.575262 | \n",
" 71.982051 | \n",
" 23.891783 | \n",
" 4 | \n",
" Normal weight | \n",
"
\n",
" \n",
" | 1 | \n",
" 69 | \n",
" Male | \n",
" 164.127306 | \n",
" 89.959256 | \n",
" 33.395209 | \n",
" 2 | \n",
" Obese | \n",
"
\n",
" \n",
" | 2 | \n",
" 46 | \n",
" Female | \n",
" 168.072202 | \n",
" 72.930629 | \n",
" 25.817737 | \n",
" 4 | \n",
" Overweight | \n",
"
\n",
" \n",
" | 3 | \n",
" 32 | \n",
" Male | \n",
" 168.459633 | \n",
" 84.886912 | \n",
" 29.912247 | \n",
" 3 | \n",
" Overweight | \n",
"
\n",
" \n",
" | 4 | \n",
" 60 | \n",
" Male | \n",
" 183.568568 | \n",
" 69.038945 | \n",
" 20.487903 | \n",
" 3 | \n",
" Normal weight | \n",
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