{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import TemplateML as template\n",
    "from sklearn.model_selection import train_test_split"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "FILE_NAME = \"health.csv\"\n",
    "LABEL_COL = \"stroke\"\n",
    "healthdf = template.load_data(FILE_NAME)\n",
    "display(healthdf.head())\n",
    "print(healthdf.shape)\n",
    "print(healthdf.dtypes)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "healthdf.isnull().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "healthdf = template.cleaningup(healthdf, to_numeric=[\"age\",\"hypertension\",\"heart_disease\",\"avg_glucose_level\",\"bmi\",\"stroke\"], cols_to_interpolate=[\"bmi\"], cols_to_delete=[\"id\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "print(healthdf.dtypes)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "template.basicanalysis(healthdf)\n",
    "template.stringcolanalysis(healthdf)\n",
    "template.numcolanalysis(healthdf)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "healthdf = template.onehotencoding(healthdf)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "healthdf.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "healthdf['stroke']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "results_wcv = template.run_algorithms(healthdf,\"stroke\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "results_cv = template.run_algorithms_cv(healthdf,\"stroke\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "res_rffs_cv = template.MachineLearningwithRFFS(healthdf, \"stroke\", threshold=3,\n",
    "                                    algo_list=template.get_supported_algorithms())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "res_rffs_cv = template.MachineLearningwithRFFS_CV(healthdf, \"stroke\", threshold=3,\n",
    "                                    algo_list=template.get_supported_algorithms())"
   ]
  }
 ],
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