{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "from sklearn.tree import DecisionTreeClassifier\n",
    "from sklearn.model_selection import train_test_split\n",
    "from sklearn import datasets\n",
    "from sklearn import tree\n",
    "import matplotlib.pyplot as plt\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.read_csv('Iris.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "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>Id</th>\n",
       "      <th>SepalLengthCm</th>\n",
       "      <th>SepalWidthCm</th>\n",
       "      <th>PetalLengthCm</th>\n",
       "      <th>PetalWidthCm</th>\n",
       "      <th>Species</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>5.1</td>\n",
       "      <td>3.5</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.2</td>\n",
       "      <td>Iris-setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>4.9</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.2</td>\n",
       "      <td>Iris-setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>4.7</td>\n",
       "      <td>3.2</td>\n",
       "      <td>1.3</td>\n",
       "      <td>0.2</td>\n",
       "      <td>Iris-setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>4.6</td>\n",
       "      <td>3.1</td>\n",
       "      <td>1.5</td>\n",
       "      <td>0.2</td>\n",
       "      <td>Iris-setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>5.0</td>\n",
       "      <td>3.6</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.2</td>\n",
       "      <td>Iris-setosa</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Id  SepalLengthCm  SepalWidthCm  PetalLengthCm  PetalWidthCm      Species\n",
       "0   1            5.1           3.5            1.4           0.2  Iris-setosa\n",
       "1   2            4.9           3.0            1.4           0.2  Iris-setosa\n",
       "2   3            4.7           3.2            1.3           0.2  Iris-setosa\n",
       "3   4            4.6           3.1            1.5           0.2  Iris-setosa\n",
       "4   5            5.0           3.6            1.4           0.2  Iris-setosa"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 150 entries, 0 to 149\n",
      "Data columns (total 6 columns):\n",
      " #   Column         Non-Null Count  Dtype  \n",
      "---  ------         --------------  -----  \n",
      " 0   Id             150 non-null    int64  \n",
      " 1   SepalLengthCm  150 non-null    float64\n",
      " 2   SepalWidthCm   150 non-null    float64\n",
      " 3   PetalLengthCm  150 non-null    float64\n",
      " 4   PetalWidthCm   150 non-null    float64\n",
      " 5   Species        150 non-null    object \n",
      "dtypes: float64(4), int64(1), object(1)\n",
      "memory usage: 7.2+ KB\n"
     ]
    }
   ],
   "source": [
    "df.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "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>Id</th>\n",
       "      <th>SepalLengthCm</th>\n",
       "      <th>SepalWidthCm</th>\n",
       "      <th>PetalLengthCm</th>\n",
       "      <th>PetalWidthCm</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>150.000000</td>\n",
       "      <td>150.000000</td>\n",
       "      <td>150.000000</td>\n",
       "      <td>150.000000</td>\n",
       "      <td>150.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>75.500000</td>\n",
       "      <td>5.843333</td>\n",
       "      <td>3.054000</td>\n",
       "      <td>3.758667</td>\n",
       "      <td>1.198667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>43.445368</td>\n",
       "      <td>0.828066</td>\n",
       "      <td>0.433594</td>\n",
       "      <td>1.764420</td>\n",
       "      <td>0.763161</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>4.300000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.100000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>38.250000</td>\n",
       "      <td>5.100000</td>\n",
       "      <td>2.800000</td>\n",
       "      <td>1.600000</td>\n",
       "      <td>0.300000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>75.500000</td>\n",
       "      <td>5.800000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>4.350000</td>\n",
       "      <td>1.300000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>112.750000</td>\n",
       "      <td>6.400000</td>\n",
       "      <td>3.300000</td>\n",
       "      <td>5.100000</td>\n",
       "      <td>1.800000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>150.000000</td>\n",
       "      <td>7.900000</td>\n",
       "      <td>4.400000</td>\n",
       "      <td>6.900000</td>\n",
       "      <td>2.500000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "               Id  SepalLengthCm  SepalWidthCm  PetalLengthCm  PetalWidthCm\n",
       "count  150.000000     150.000000    150.000000     150.000000    150.000000\n",
       "mean    75.500000       5.843333      3.054000       3.758667      1.198667\n",
       "std     43.445368       0.828066      0.433594       1.764420      0.763161\n",
       "min      1.000000       4.300000      2.000000       1.000000      0.100000\n",
       "25%     38.250000       5.100000      2.800000       1.600000      0.300000\n",
       "50%     75.500000       5.800000      3.000000       4.350000      1.300000\n",
       "75%    112.750000       6.400000      3.300000       5.100000      1.800000\n",
       "max    150.000000       7.900000      4.400000       6.900000      2.500000"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "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>Id</th>\n",
       "      <th>SepalLengthCm</th>\n",
       "      <th>SepalWidthCm</th>\n",
       "      <th>PetalLengthCm</th>\n",
       "      <th>PetalWidthCm</th>\n",
       "      <th>Species</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>5.1</td>\n",
       "      <td>3.5</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.2</td>\n",
       "      <td>Iris-setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>4.9</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.2</td>\n",
       "      <td>Iris-setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>4.7</td>\n",
       "      <td>3.2</td>\n",
       "      <td>1.3</td>\n",
       "      <td>0.2</td>\n",
       "      <td>Iris-setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>4.6</td>\n",
       "      <td>3.1</td>\n",
       "      <td>1.5</td>\n",
       "      <td>0.2</td>\n",
       "      <td>Iris-setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>5.0</td>\n",
       "      <td>3.6</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.2</td>\n",
       "      <td>Iris-setosa</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Id  SepalLengthCm  SepalWidthCm  PetalLengthCm  PetalWidthCm      Species\n",
       "0   1            5.1           3.5            1.4           0.2  Iris-setosa\n",
       "1   2            4.9           3.0            1.4           0.2  Iris-setosa\n",
       "2   3            4.7           3.2            1.3           0.2  Iris-setosa\n",
       "3   4            4.6           3.1            1.5           0.2  Iris-setosa\n",
       "4   5            5.0           3.6            1.4           0.2  Iris-setosa"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [],
   "source": [
    "X = df.drop(\"Species\", axis=1)\n",
    "y = df[\"Species\"]\n",
    "class_names = np.unique(y)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [],
   "source": [
    "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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      ],
      "text/plain": [
       "DecisionTreeClassifier()"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "clf = DecisionTreeClassifier()\n",
    "clf.fit(X_train, y_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x1000 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize=(10, 10))\n",
    "tree.plot_tree(clf, feature_names=X.columns, class_names=class_names, filled=True)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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