Notebook/decisiontree.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.datasets import load_iris\n",
    "from sklearn.model_selection import train_test_split\n",
    "from sklearn.tree import DecisionTreeClassifier, plot_tree\n",
    "from sklearn.metrics import accuracy_score\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "from sklearn.tree import export_text"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
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       " 'target': array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n",
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       "        2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2]),\n",
       " 'frame': None,\n",
       " 'target_names': array(['setosa', 'versicolor', 'virginica'], dtype='<U10'),\n",
       " 'DESCR': '.. _iris_dataset:\\n\\nIris plants dataset\\n--------------------\\n\\n**Data Set Characteristics:**\\n\\n:Number of Instances: 150 (50 in each of three classes)\\n:Number of Attributes: 4 numeric, predictive attributes and the class\\n:Attribute Information:\\n    - sepal length in cm\\n    - sepal width in cm\\n    - petal length in cm\\n    - petal width in cm\\n    - class:\\n            - Iris-Setosa\\n            - Iris-Versicolour\\n            - Iris-Virginica\\n\\n:Summary Statistics:\\n\\n============== ==== ==== ======= ===== ====================\\n                Min  Max   Mean    SD   Class Correlation\\n============== ==== ==== ======= ===== ====================\\nsepal length:   4.3  7.9   5.84   0.83    0.7826\\nsepal width:    2.0  4.4   3.05   0.43   -0.4194\\npetal length:   1.0  6.9   3.76   1.76    0.9490  (high!)\\npetal width:    0.1  2.5   1.20   0.76    0.9565  (high!)\\n============== ==== ==== ======= ===== ====================\\n\\n:Missing Attribute Values: None\\n:Class Distribution: 33.3% for each of 3 classes.\\n:Creator: R.A. Fisher\\n:Donor: Michael Marshall (MARSHALL%PLU@io.arc.nasa.gov)\\n:Date: July, 1988\\n\\nThe famous Iris database, first used by Sir R.A. Fisher. The dataset is taken\\nfrom Fisher\\'s paper. Note that it\\'s the same as in R, but not as in the UCI\\nMachine Learning Repository, which has two wrong data points.\\n\\nThis is perhaps the best known database to be found in the\\npattern recognition literature.  Fisher\\'s paper is a classic in the field and\\nis referenced frequently to this day.  (See Duda & Hart, for example.)  The\\ndata set contains 3 classes of 50 instances each, where each class refers to a\\ntype of iris plant.  One class is linearly separable from the other 2; the\\nlatter are NOT linearly separable from each other.\\n\\n.. dropdown:: References\\n\\n  - Fisher, R.A. \"The use of multiple measurements in taxonomic problems\"\\n    Annual Eugenics, 7, Part II, 179-188 (1936); also in \"Contributions to\\n    Mathematical Statistics\" (John Wiley, NY, 1950).\\n  - Duda, R.O., & Hart, P.E. (1973) Pattern Classification and Scene Analysis.\\n    (Q327.D83) John Wiley & Sons.  ISBN 0-471-22361-1.  See page 218.\\n  - Dasarathy, B.V. (1980) \"Nosing Around the Neighborhood: A New System\\n    Structure and Classification Rule for Recognition in Partially Exposed\\n    Environments\".  IEEE Transactions on Pattern Analysis and Machine\\n    Intelligence, Vol. PAMI-2, No. 1, 67-71.\\n  - Gates, G.W. (1972) \"The Reduced Nearest Neighbor Rule\".  IEEE Transactions\\n    on Information Theory, May 1972, 431-433.\\n  - See also: 1988 MLC Proceedings, 54-64.  Cheeseman et al\"s AUTOCLASS II\\n    conceptual clustering system finds 3 classes in the data.\\n  - Many, many more ...\\n',\n",
       " 'feature_names': ['sepal length (cm)',\n",
       "  'sepal width (cm)',\n",
       "  'petal length (cm)',\n",
       "  'petal width (cm)'],\n",
       " 'filename': 'iris.csv',\n",
       " 'data_module': 'sklearn.datasets.data'}"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Load dataset\n",
    "iris =  load_iris()\n",
    "iris"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "X = iris.data[:, :2]\n",
    "y = iris.target"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "# split data intp train test sets\n",
    "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": 11,
   "metadata": {},
   "outputs": [
    {
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       "\n",
       "#sk-container-id-2 label.sk-toggleable__label-arrow:hover:before {\n",
       "  color: var(--sklearn-color-text);\n",
       "}\n",
       "\n",
       "/* Toggleable content - dropdown */\n",
       "\n",
       "#sk-container-id-2 div.sk-toggleable__content {\n",
       "  max-height: 0;\n",
       "  max-width: 0;\n",
       "  overflow: hidden;\n",
       "  text-align: left;\n",
       "  /* unfitted */\n",
       "  background-color: var(--sklearn-color-unfitted-level-0);\n",
       "}\n",
       "\n",
       "#sk-container-id-2 div.sk-toggleable__content.fitted {\n",
       "  /* fitted */\n",
       "  background-color: var(--sklearn-color-fitted-level-0);\n",
       "}\n",
       "\n",
       "#sk-container-id-2 div.sk-toggleable__content pre {\n",
       "  margin: 0.2em;\n",
       "  border-radius: 0.25em;\n",
       "  color: var(--sklearn-color-text);\n",
       "  /* unfitted */\n",
       "  background-color: var(--sklearn-color-unfitted-level-0);\n",
       "}\n",
       "\n",
       "#sk-container-id-2 div.sk-toggleable__content.fitted pre {\n",
       "  /* unfitted */\n",
       "  background-color: var(--sklearn-color-fitted-level-0);\n",
       "}\n",
       "\n",
       "#sk-container-id-2 input.sk-toggleable__control:checked~div.sk-toggleable__content {\n",
       "  /* Expand drop-down */\n",
       "  max-height: 200px;\n",
       "  max-width: 100%;\n",
       "  overflow: auto;\n",
       "}\n",
       "\n",
       "#sk-container-id-2 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {\n",
       "  content: \"▾\";\n",
       "}\n",
       "\n",
       "/* Pipeline/ColumnTransformer-specific style */\n",
       "\n",
       "#sk-container-id-2 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
       "  color: var(--sklearn-color-text);\n",
       "  background-color: var(--sklearn-color-unfitted-level-2);\n",
       "}\n",
       "\n",
       "#sk-container-id-2 div.sk-label.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
       "  background-color: var(--sklearn-color-fitted-level-2);\n",
       "}\n",
       "\n",
       "/* Estimator-specific style */\n",
       "\n",
       "/* Colorize estimator box */\n",
       "#sk-container-id-2 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
       "  /* unfitted */\n",
       "  background-color: var(--sklearn-color-unfitted-level-2);\n",
       "}\n",
       "\n",
       "#sk-container-id-2 div.sk-estimator.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
       "  /* fitted */\n",
       "  background-color: var(--sklearn-color-fitted-level-2);\n",
       "}\n",
       "\n",
       "#sk-container-id-2 div.sk-label label.sk-toggleable__label,\n",
       "#sk-container-id-2 div.sk-label label {\n",
       "  /* The background is the default theme color */\n",
       "  color: var(--sklearn-color-text-on-default-background);\n",
       "}\n",
       "\n",
       "/* On hover, darken the color of the background */\n",
       "#sk-container-id-2 div.sk-label:hover label.sk-toggleable__label {\n",
       "  color: var(--sklearn-color-text);\n",
       "  background-color: var(--sklearn-color-unfitted-level-2);\n",
       "}\n",
       "\n",
       "/* Label box, darken color on hover, fitted */\n",
       "#sk-container-id-2 div.sk-label.fitted:hover label.sk-toggleable__label.fitted {\n",
       "  color: var(--sklearn-color-text);\n",
       "  background-color: var(--sklearn-color-fitted-level-2);\n",
       "}\n",
       "\n",
       "/* Estimator label */\n",
       "\n",
       "#sk-container-id-2 div.sk-label label {\n",
       "  font-family: monospace;\n",
       "  font-weight: bold;\n",
       "  display: inline-block;\n",
       "  line-height: 1.2em;\n",
       "}\n",
       "\n",
       "#sk-container-id-2 div.sk-label-container {\n",
       "  text-align: center;\n",
       "}\n",
       "\n",
       "/* Estimator-specific */\n",
       "#sk-container-id-2 div.sk-estimator {\n",
       "  font-family: monospace;\n",
       "  border: 1px dotted var(--sklearn-color-border-box);\n",
       "  border-radius: 0.25em;\n",
       "  box-sizing: border-box;\n",
       "  margin-bottom: 0.5em;\n",
       "  /* unfitted */\n",
       "  background-color: var(--sklearn-color-unfitted-level-0);\n",
       "}\n",
       "\n",
       "#sk-container-id-2 div.sk-estimator.fitted {\n",
       "  /* fitted */\n",
       "  background-color: var(--sklearn-color-fitted-level-0);\n",
       "}\n",
       "\n",
       "/* on hover */\n",
       "#sk-container-id-2 div.sk-estimator:hover {\n",
       "  /* unfitted */\n",
       "  background-color: var(--sklearn-color-unfitted-level-2);\n",
       "}\n",
       "\n",
       "#sk-container-id-2 div.sk-estimator.fitted:hover {\n",
       "  /* fitted */\n",
       "  background-color: var(--sklearn-color-fitted-level-2);\n",
       "}\n",
       "\n",
       "/* Specification for estimator info (e.g. \"i\" and \"?\") */\n",
       "\n",
       "/* Common style for \"i\" and \"?\" */\n",
       "\n",
       ".sk-estimator-doc-link,\n",
       "a:link.sk-estimator-doc-link,\n",
       "a:visited.sk-estimator-doc-link {\n",
       "  float: right;\n",
       "  font-size: smaller;\n",
       "  line-height: 1em;\n",
       "  font-family: monospace;\n",
       "  background-color: var(--sklearn-color-background);\n",
       "  border-radius: 1em;\n",
       "  height: 1em;\n",
       "  width: 1em;\n",
       "  text-decoration: none !important;\n",
       "  margin-left: 1ex;\n",
       "  /* unfitted */\n",
       "  border: var(--sklearn-color-unfitted-level-1) 1pt solid;\n",
       "  color: var(--sklearn-color-unfitted-level-1);\n",
       "}\n",
       "\n",
       ".sk-estimator-doc-link.fitted,\n",
       "a:link.sk-estimator-doc-link.fitted,\n",
       "a:visited.sk-estimator-doc-link.fitted {\n",
       "  /* fitted */\n",
       "  border: var(--sklearn-color-fitted-level-1) 1pt solid;\n",
       "  color: var(--sklearn-color-fitted-level-1);\n",
       "}\n",
       "\n",
       "/* On hover */\n",
       "div.sk-estimator:hover .sk-estimator-doc-link:hover,\n",
       ".sk-estimator-doc-link:hover,\n",
       "div.sk-label-container:hover .sk-estimator-doc-link:hover,\n",
       ".sk-estimator-doc-link:hover {\n",
       "  /* unfitted */\n",
       "  background-color: var(--sklearn-color-unfitted-level-3);\n",
       "  color: var(--sklearn-color-background);\n",
       "  text-decoration: none;\n",
       "}\n",
       "\n",
       "div.sk-estimator.fitted:hover .sk-estimator-doc-link.fitted:hover,\n",
       ".sk-estimator-doc-link.fitted:hover,\n",
       "div.sk-label-container:hover .sk-estimator-doc-link.fitted:hover,\n",
       ".sk-estimator-doc-link.fitted:hover {\n",
       "  /* fitted */\n",
       "  background-color: var(--sklearn-color-fitted-level-3);\n",
       "  color: var(--sklearn-color-background);\n",
       "  text-decoration: none;\n",
       "}\n",
       "\n",
       "/* Span, style for the box shown on hovering the info icon */\n",
       ".sk-estimator-doc-link span {\n",
       "  display: none;\n",
       "  z-index: 9999;\n",
       "  position: relative;\n",
       "  font-weight: normal;\n",
       "  right: .2ex;\n",
       "  padding: .5ex;\n",
       "  margin: .5ex;\n",
       "  width: min-content;\n",
       "  min-width: 20ex;\n",
       "  max-width: 50ex;\n",
       "  color: var(--sklearn-color-text);\n",
       "  box-shadow: 2pt 2pt 4pt #999;\n",
       "  /* unfitted */\n",
       "  background: var(--sklearn-color-unfitted-level-0);\n",
       "  border: .5pt solid var(--sklearn-color-unfitted-level-3);\n",
       "}\n",
       "\n",
       ".sk-estimator-doc-link.fitted span {\n",
       "  /* fitted */\n",
       "  background: var(--sklearn-color-fitted-level-0);\n",
       "  border: var(--sklearn-color-fitted-level-3);\n",
       "}\n",
       "\n",
       ".sk-estimator-doc-link:hover span {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       "/* \"?\"-specific style due to the `<a>` HTML tag */\n",
       "\n",
       "#sk-container-id-2 a.estimator_doc_link {\n",
       "  float: right;\n",
       "  font-size: 1rem;\n",
       "  line-height: 1em;\n",
       "  font-family: monospace;\n",
       "  background-color: var(--sklearn-color-background);\n",
       "  border-radius: 1rem;\n",
       "  height: 1rem;\n",
       "  width: 1rem;\n",
       "  text-decoration: none;\n",
       "  /* unfitted */\n",
       "  color: var(--sklearn-color-unfitted-level-1);\n",
       "  border: var(--sklearn-color-unfitted-level-1) 1pt solid;\n",
       "}\n",
       "\n",
       "#sk-container-id-2 a.estimator_doc_link.fitted {\n",
       "  /* fitted */\n",
       "  border: var(--sklearn-color-fitted-level-1) 1pt solid;\n",
       "  color: var(--sklearn-color-fitted-level-1);\n",
       "}\n",
       "\n",
       "/* On hover */\n",
       "#sk-container-id-2 a.estimator_doc_link:hover {\n",
       "  /* unfitted */\n",
       "  background-color: var(--sklearn-color-unfitted-level-3);\n",
       "  color: var(--sklearn-color-background);\n",
       "  text-decoration: none;\n",
       "}\n",
       "\n",
       "#sk-container-id-2 a.estimator_doc_link.fitted:hover {\n",
       "  /* fitted */\n",
       "  background-color: var(--sklearn-color-fitted-level-3);\n",
       "}\n",
       "</style><div id=\"sk-container-id-2\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>DecisionTreeClassifier(max_depth=2)</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item\"><div class=\"sk-estimator fitted sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-2\" type=\"checkbox\" checked><label for=\"sk-estimator-id-2\" class=\"sk-toggleable__label fitted sk-toggleable__label-arrow fitted\">&nbsp;&nbsp;DecisionTreeClassifier<a class=\"sk-estimator-doc-link fitted\" rel=\"noreferrer\" target=\"_blank\" href=\"https://scikit-learn.org/1.5/modules/generated/sklearn.tree.DecisionTreeClassifier.html\">?<span>Documentation for DecisionTreeClassifier</span></a><span class=\"sk-estimator-doc-link fitted\">i<span>Fitted</span></span></label><div class=\"sk-toggleable__content fitted\"><pre>DecisionTreeClassifier(max_depth=2)</pre></div> </div></div></div></div>"
      ],
      "text/plain": [
       "DecisionTreeClassifier(max_depth=2)"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# train a decision tree classifier\n",
    "clf = DecisionTreeClassifier(max_depth=2)\n",
    "clf.fit(X_train,y_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "accuracy_score : 0.8\n"
     ]
    }
   ],
   "source": [
    "# check accuracy\n",
    "y_pred = clf.predict(X_test)\n",
    "print(f\"accuracy_score : {accuracy_score(y_test,y_pred)}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# plot the decisoin tree\n",
    "plt.figure(figsize=(12,8))\n",
    "plot_tree(clf,filled=True,feature_names=iris.feature_names[:2],class_names=iris.target_names)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# plot the decision boundary\n",
    "plt.figure(figsize=(8,6))\n",
    "x_min,x_max = X[:, 0].min() -1 , X[:, 0].max()+1\n",
    "y_min ,y_max = X[:, 1].min()-1, X[:, 1].max() +1\n",
    "xx, yy = np.meshgrid(np.arange(x_min, x_max,0.01),\n",
    "                    np.arange(y_min,y_max,0.01))\n",
    "\n",
    "Z = clf.predict(np.c_[xx.ravel(), yy.ravel()])\n",
    "Z = Z.reshape(xx.shape)\n",
    "\n",
    "plt.contourf(xx, yy, Z, alpha=0.8)\n",
    "plt.scatter(X[:, 0], X[:, 1],c =y , edgecolors='k')\n",
    "plt.xlabel('Speal length')\n",
    "plt.ylabel('Sepal width')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "|--- sepal_length <= 5.45\n",
      "|   |--- sepal_width <= 2.80\n",
      "|   |   |--- class: 1\n",
      "|   |--- sepal_width >  2.80\n",
      "|   |   |--- class: 0\n",
      "|--- sepal_length >  5.45\n",
      "|   |--- sepal_length <= 6.15\n",
      "|   |   |--- class: 1\n",
      "|   |--- sepal_length >  6.15\n",
      "|   |   |--- class: 2\n",
      "\n"
     ]
    }
   ],
   "source": [
    "r = export_text(clf, feature_names=['sepal_length','sepal_width'])\n",
    "print(r)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([0.8253173, 0.1746827])"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "clf.feature_importances_"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "base",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.12.7"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}