{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "13478fc9-99d9-4214-aa1f-07b55259db01",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "from sklearn.datasets import load_iris\n",
    "from sklearn.model_selection import train_test_split\n",
    "from sklearn.tree import DecisionTreeClassifier\n",
    "from sklearn.metrics import confusion_matrix, ConfusionMatrixDisplay\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "\n",
    "# Load the IRIS dataset\n",
    "iris = load_iris()\n",
    "X = iris.data\n",
    "y = iris.target\n",
    "\n",
    "\n",
    "# Split the dataset into training and testing sets\n",
    "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42)\n",
    "\n",
    "\n",
    "# Train a decision tree classifier\n",
    "clf = DecisionTreeClassifier(random_state=42)\n",
    "clf.fit(X_train, y_train)\n",
    "\n",
    "\n",
    "# Make predictions on the test set\n",
    "y_pred = clf.predict(X_test)\n",
    "\n",
    "\n",
    "# Generate the confusion matrix\n",
    "cm = confusion_matrix(y_test, y_pred)\n",
    "\n",
    "\n",
    "# Display the confusion matrix\n",
    "disp = ConfusionMatrixDisplay(confusion_matrix=cm, display_labels=iris.target_names)\n",
    "disp.plot(cmap=plt.cm.Blues)\n",
    "plt.title('Confusion Matrix for Decision Tree Classifier')\n",
    "plt.show()\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "5c749279-9be8-4e96-af4a-973df0e63134",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "from sklearn.datasets import load_iris\n",
    "from sklearn.model_selection import train_test_split\n",
    "from sklearn.neighbors import KNeighborsClassifier  \n",
    "from sklearn.metrics import confusion_matrix, ConfusionMatrixDisplay\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "\n",
    "iris = load_iris()\n",
    "X = iris.data\n",
    "y = iris.target\n",
    "\n",
    "\n",
    "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.3, random_state=42)\n",
    "\n",
    "\n",
    "knn = KNeighborsClassifier(n_neighbors=2)  \n",
    "knn.fit(X_train, y_train)\n",
    "\n",
    "\n",
    "y_pred = knn.predict(X_test)\n",
    "\n",
    "cm = confusion_matrix(y_test, y_pred)\n",
    "\n",
    "\n",
    "disp = ConfusionMatrixDisplay(confusion_matrix=cm, display_labels=iris.target_names)\n",
    "disp.plot(cmap=plt.cm.Blues)\n",
    "plt.title('Confusion Matrix for K-Nearest Neighbors Classifier')\n",
    "plt.show()"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "anaconda-panel-2023.05-py310",
   "language": "python",
   "name": "conda-env-anaconda-panel-2023.05-py310-py"
  },
  "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": 5
}
