{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 83,
   "id": "b8786441",
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "from sklearn.datasets import load_iris\n",
    "from sklearn.tree import DecisionTreeClassifier\n",
    "from sklearn. ensemble import RandomForestClassifier, AdaBoostClassifier"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 77,
   "id": "cb138bbf",
   "metadata": {},
   "outputs": [],
   "source": [
    "iris = load_iris()\n",
    "iris_df = pd.DataFrame(data= np.c_[iris['data'], iris['target']], columns= iris['feature_names'] + ['target'])\n",
    "\n",
    "X = iris_df.drop(['target'],axis=1)\n",
    "y = iris_df.target\n",
    "\n",
    "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size = 0.7, random_state=i)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 80,
   "id": "98ddb765",
   "metadata": {},
   "outputs": [],
   "source": [
    "#Descision Tree\n",
    "\n",
    "dt = DecisionTreeClassifier()\n",
    "dt.fit(x_train,y_train)\n",
    "\n",
    "dt.score(x_test,y_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 81,
   "id": "df1363d3",
   "metadata": {},
   "outputs": [],
   "source": [
    "#Random Forest\n",
    "\n",
    "rf = RandomForestClassifier(n_estimators=10)\n",
    "rf.fit(x_train,y_train)\n",
    "\n",
    "rf.score(x_test,y_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "e2f03f7f",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Ada Boost\n",
    "\n",
    "adb = AdaBoostClassifier(DecisionTreeClassifier(),n_estimators = 10, learning_rate = 1)\n",
    "adb.fit(x_train,y_train)\n",
    "\n",
    "adb.score(x_test,y_test)"
   ]
  }
 ],
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