dicision tree.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.tree import DecisionTreeClassifier"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([1, 0, 2, 1, 1, 0, 1, 2, 2, 1, 2, 0, 0, 0, 0, 1, 2, 1, 1, 2, 0, 2,\n",
       "       0, 2, 2, 2, 2, 2, 0, 0, 0, 0, 1, 0, 0, 2, 1, 0, 0, 0, 2, 1, 1, 0,\n",
       "       0, 1, 1, 2, 1, 2])"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.datasets import load_iris\n",
    "import pandas as pd\n",
    "from sklearn.tree import DecisionTreeClassifier\n",
    "from sklearn.model_selection import train_test_split\n",
    "\n",
    "iris = load_iris()\n",
    "\n",
    "X_train, X_test, y_train, y_test = train_test_split(iris.data, iris.target, test_size=0.33, random_state=42)\n",
    "\n",
    "dt_clf = DecisionTreeClassifier(random_state=0)\n",
    "\n",
    "dt_clf.fit(X_train, y_train)\n",
    "\n",
    "dt_clf.predict(X_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([0.01256535, 0.02915555, 0.05981177, 0.89846733])"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dt_clf.feature_importances_"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt\n",
    "plt.figure(figsize=(8,6))\n",
    "plt.title('Feature Importances')\n",
    "sns.barplot(x=dt_clf.feature_importances_, y=iris.feature_names)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.tree import export_graphviz\n",
    "\n",
    "tree_dot = export_graphviz(\n",
    "    dt_clf, \n",
    "    out_file=\"tree.dot\",\n",
    "    feature_names=iris.feature_names, \n",
    "    class_names=['0','1','2'],\n",
    "    filled=True\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "import graphviz"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"UTF-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<!-- Generated by graphviz version 8.0.5 (20230430.1635)\n -->\n<!-- Title: Tree Pages: 1 -->\n<svg width=\"882pt\" height=\"841pt\"\n viewBox=\"0.00 0.00 882.12 841.00\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n<g id=\"graph0\" class=\"graph\" transform=\"scale(1 1) rotate(0) translate(4 837)\">\n<title>Tree</title>\n<polygon fill=\"white\" stroke=\"none\" points=\"-4,4 -4,-837 878.12,-837 878.12,4 -4,4\"/>\n<!-- 0 -->\n<g id=\"node1\" class=\"node\">\n<title>0</title>\n<polygon fill=\"#fcfffd\" stroke=\"black\" points=\"567.62,-833 408.38,-833 408.38,-742.5 567.62,-742.5 567.62,-833\"/>\n<text text-anchor=\"middle\" x=\"488\" y=\"-815.7\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">petal width (cm) &lt;= 0.8</text>\n<text text-anchor=\"middle\" x=\"488\" y=\"-799.2\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">gini = 0.666</text>\n<text text-anchor=\"middle\" x=\"488\" y=\"-782.7\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">samples = 100</text>\n<text text-anchor=\"middle\" x=\"488\" y=\"-766.2\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">value = [31, 35, 34]</text>\n<text text-anchor=\"middle\" x=\"488\" y=\"-749.7\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">class = 1</text>\n</g>\n<!-- 1 -->\n<g id=\"node2\" class=\"node\">\n<title>1</title>\n<polygon fill=\"#e58139\" stroke=\"black\" points=\"467.12,-698.25 346.88,-698.25 346.88,-624.25 467.12,-624.25 467.12,-698.25\"/>\n<text text-anchor=\"middle\" x=\"407\" y=\"-680.95\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">gini = 0.0</text>\n<text text-anchor=\"middle\" x=\"407\" y=\"-664.45\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">samples = 31</text>\n<text text-anchor=\"middle\" x=\"407\" y=\"-647.95\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">value = [31, 0, 0]</text>\n<text text-anchor=\"middle\" x=\"407\" y=\"-631.45\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">class = 0</text>\n</g>\n<!-- 0&#45;&gt;1 -->\n<g id=\"edge1\" class=\"edge\">\n<title>0&#45;&gt;1</title>\n<path fill=\"none\" stroke=\"black\" d=\"M458.99,-742.15C451.61,-730.81 443.67,-718.62 436.28,-707.26\"/>\n<polygon fill=\"black\" stroke=\"black\" points=\"438.88,-705.83 430.49,-699.36 433.01,-709.65 438.88,-705.83\"/>\n<text text-anchor=\"middle\" x=\"425.31\" y=\"-717.76\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">True</text>\n</g>\n<!-- 2 -->\n<g id=\"node3\" class=\"node\">\n<title>2</title>\n<polygon fill=\"#f9fefb\" stroke=\"black\" points=\"652.75,-706.5 485.25,-706.5 485.25,-616 652.75,-616 652.75,-706.5\"/>\n<text text-anchor=\"middle\" x=\"569\" y=\"-689.2\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">petal width (cm) &lt;= 1.75</text>\n<text text-anchor=\"middle\" x=\"569\" y=\"-672.7\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">gini = 0.5</text>\n<text text-anchor=\"middle\" x=\"569\" y=\"-656.2\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">samples = 69</text>\n<text text-anchor=\"middle\" x=\"569\" y=\"-639.7\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">value = [0, 35, 34]</text>\n<text text-anchor=\"middle\" x=\"569\" y=\"-623.2\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">class = 1</text>\n</g>\n<!-- 0&#45;&gt;2 -->\n<g id=\"edge2\" class=\"edge\">\n<title>0&#45;&gt;2</title>\n<path fill=\"none\" stroke=\"black\" d=\"M517.01,-742.15C522.54,-733.66 528.38,-724.69 534.06,-715.95\"/>\n<polygon fill=\"black\" stroke=\"black\" points=\"537.4,-718.24 539.92,-707.95 531.53,-714.43 537.4,-718.24\"/>\n<text text-anchor=\"middle\" x=\"545.09\" y=\"-726.36\" font-family=\"Helvetica,sans-Serif\" 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fill=\"none\" stroke=\"black\" d=\"M534.61,-615.65C527.93,-606.98 520.86,-597.81 513.98,-588.9\"/>\n<polygon fill=\"black\" stroke=\"black\" points=\"516.35,-587.23 507.47,-581.45 510.8,-591.51 516.35,-587.23\"/>\n</g>\n<!-- 14 -->\n<g id=\"node15\" class=\"node\">\n<title>14</title>\n<polygon fill=\"#8540e6\" stroke=\"black\" points=\"751.75,-580 578.25,-580 578.25,-489.5 751.75,-489.5 751.75,-580\"/>\n<text text-anchor=\"middle\" x=\"665\" y=\"-562.7\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">petal length (cm) &lt;= 4.85</text>\n<text text-anchor=\"middle\" x=\"665\" y=\"-546.2\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">gini = 0.062</text>\n<text text-anchor=\"middle\" x=\"665\" y=\"-529.7\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">samples = 31</text>\n<text text-anchor=\"middle\" x=\"665\" y=\"-513.2\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">value = [0, 1, 30]</text>\n<text text-anchor=\"middle\" x=\"665\" y=\"-496.7\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">class = 2</text>\n</g>\n<!-- 2&#45;&gt;14 -->\n<g id=\"edge14\" class=\"edge\">\n<title>2&#45;&gt;14</title>\n<path fill=\"none\" stroke=\"black\" d=\"M603.39,-615.65C610.07,-606.98 617.14,-597.81 624.02,-588.9\"/>\n<polygon fill=\"black\" stroke=\"black\" points=\"627.2,-591.51 630.53,-581.45 621.65,-587.23 627.2,-591.51\"/>\n</g>\n<!-- 4 -->\n<g id=\"node5\" class=\"node\">\n<title>4</title>\n<polygon fill=\"#45e788\" stroke=\"black\" points=\"409.62,-453.5 232.38,-453.5 232.38,-363 409.62,-363 409.62,-453.5\"/>\n<text text-anchor=\"middle\" x=\"321\" y=\"-436.2\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">sepal length (cm) &lt;= 4.95</text>\n<text text-anchor=\"middle\" x=\"321\" y=\"-419.7\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">gini = 0.105</text>\n<text text-anchor=\"middle\" x=\"321\" y=\"-403.2\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">samples = 36</text>\n<text text-anchor=\"middle\" x=\"321\" y=\"-386.7\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">value = [0, 34, 2]</text>\n<text text-anchor=\"middle\" x=\"321\" y=\"-370.2\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">class = 1</text>\n</g>\n<!-- 3&#45;&gt;4 -->\n<g id=\"edge4\" class=\"edge\">\n<title>3&#45;&gt;4</title>\n<path fill=\"none\" stroke=\"black\" d=\"M418.55,-489.15C407.31,-479.95 395.38,-470.18 383.87,-460.75\"/>\n<polygon fill=\"black\" stroke=\"black\" points=\"386.53,-457.58 376.58,-453.95 382.1,-463 386.53,-457.58\"/>\n</g>\n<!-- 13 -->\n<g id=\"node14\" class=\"node\">\n<title>13</title>\n<polygon fill=\"#8139e5\" stroke=\"black\" points=\"540,-445.25 428,-445.25 428,-371.25 540,-371.25 540,-445.25\"/>\n<text text-anchor=\"middle\" x=\"484\" y=\"-427.95\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">gini = 0.0</text>\n<text text-anchor=\"middle\" x=\"484\" y=\"-411.45\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">samples = 2</text>\n<text text-anchor=\"middle\" x=\"484\" y=\"-394.95\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">value = [0, 0, 2]</text>\n<text text-anchor=\"middle\" x=\"484\" y=\"-378.45\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">class = 2</text>\n</g>\n<!-- 3&#45;&gt;13 -->\n<g id=\"edge13\" class=\"edge\">\n<title>3&#45;&gt;13</title>\n<path fill=\"none\" stroke=\"black\" d=\"M476.94,-489.15C477.88,-478.49 478.89,-467.06 479.84,-456.29\"/>\n<polygon fill=\"black\" stroke=\"black\" points=\"483.42,-456.63 480.81,-446.36 476.44,-456.01 483.42,-456.63\"/>\n</g>\n<!-- 5 -->\n<g id=\"node6\" class=\"node\">\n<title>5</title>\n<polygon fill=\"#ffffff\" stroke=\"black\" points=\"261.75,-327 94.25,-327 94.25,-236.5 261.75,-236.5 261.75,-327\"/>\n<text text-anchor=\"middle\" x=\"178\" y=\"-309.7\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">petal width (cm) &lt;= 1.35</text>\n<text text-anchor=\"middle\" x=\"178\" y=\"-293.2\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">gini = 0.5</text>\n<text text-anchor=\"middle\" x=\"178\" y=\"-276.7\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">samples = 2</text>\n<text text-anchor=\"middle\" x=\"178\" y=\"-260.2\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">value = [0, 1, 1]</text>\n<text text-anchor=\"middle\" x=\"178\" y=\"-243.7\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">class = 1</text>\n</g>\n<!-- 4&#45;&gt;5 -->\n<g id=\"edge5\" class=\"edge\">\n<title>4&#45;&gt;5</title>\n<path fill=\"none\" stroke=\"black\" d=\"M269.78,-362.65C259.3,-353.54 248.2,-343.87 237.46,-334.52\"/>\n<polygon fill=\"black\" stroke=\"black\" points=\"240.19,-331.38 230.35,-327.45 235.59,-336.66 240.19,-331.38\"/>\n</g>\n<!-- 8 -->\n<g id=\"node9\" class=\"node\">\n<title>8</title>\n<polygon fill=\"#3fe685\" stroke=\"black\" points=\"450.62,-327 279.38,-327 279.38,-236.5 450.62,-236.5 450.62,-327\"/>\n<text text-anchor=\"middle\" x=\"365\" y=\"-309.7\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">sepal width (cm) &lt;= 2.25</text>\n<text text-anchor=\"middle\" x=\"365\" y=\"-293.2\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">gini = 0.057</text>\n<text text-anchor=\"middle\" x=\"365\" y=\"-276.7\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">samples = 34</text>\n<text text-anchor=\"middle\" x=\"365\" y=\"-260.2\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">value = [0, 33, 1]</text>\n<text text-anchor=\"middle\" x=\"365\" y=\"-243.7\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">class = 1</text>\n</g>\n<!-- 4&#45;&gt;8 -->\n<g id=\"edge8\" class=\"edge\">\n<title>4&#45;&gt;8</title>\n<path fill=\"none\" stroke=\"black\" d=\"M336.76,-362.65C339.64,-354.52 342.67,-345.95 345.63,-337.55\"/>\n<polygon fill=\"black\" stroke=\"black\" points=\"349.17,-339.05 349.2,-328.45 342.57,-336.72 349.17,-339.05\"/>\n</g>\n<!-- 6 -->\n<g id=\"node7\" 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id=\"node8\" class=\"node\">\n<title>7</title>\n<polygon fill=\"#8139e5\" stroke=\"black\" points=\"242,-192.25 130,-192.25 130,-118.25 242,-118.25 242,-192.25\"/>\n<text text-anchor=\"middle\" x=\"186\" y=\"-174.95\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">gini = 0.0</text>\n<text text-anchor=\"middle\" x=\"186\" y=\"-158.45\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">samples = 1</text>\n<text text-anchor=\"middle\" x=\"186\" y=\"-141.95\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">value = [0, 0, 1]</text>\n<text text-anchor=\"middle\" x=\"186\" y=\"-125.45\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">class = 2</text>\n</g>\n<!-- 5&#45;&gt;7 -->\n<g id=\"edge7\" class=\"edge\">\n<title>5&#45;&gt;7</title>\n<path fill=\"none\" stroke=\"black\" d=\"M180.87,-236.15C181.55,-225.49 182.28,-214.06 182.98,-203.29\"/>\n<polygon fill=\"black\" stroke=\"black\" points=\"186.53,-203.56 183.68,-193.36 179.55,-203.11 186.53,-203.56\"/>\n</g>\n<!-- 9 -->\n<g id=\"node10\" class=\"node\">\n<title>9</title>\n<polygon fill=\"#9cf2c0\" stroke=\"black\" points=\"441.75,-200.5 274.25,-200.5 274.25,-110 441.75,-110 441.75,-200.5\"/>\n<text text-anchor=\"middle\" x=\"358\" y=\"-183.2\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">petal width (cm) &lt;= 1.25</text>\n<text text-anchor=\"middle\" x=\"358\" y=\"-166.7\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">gini = 0.444</text>\n<text text-anchor=\"middle\" x=\"358\" y=\"-150.2\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">samples = 3</text>\n<text text-anchor=\"middle\" x=\"358\" y=\"-133.7\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">value = [0, 2, 1]</text>\n<text text-anchor=\"middle\" x=\"358\" y=\"-117.2\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">class = 1</text>\n</g>\n<!-- 8&#45;&gt;9 -->\n<g id=\"edge9\" class=\"edge\">\n<title>8&#45;&gt;9</title>\n<path fill=\"none\" stroke=\"black\" d=\"M362.49,-236.15C362.05,-228.29 361.58,-220.01 361.13,-211.89\"/>\n<polygon fill=\"black\" stroke=\"black\" points=\"364.57,-211.74 360.51,-201.95 357.58,-212.13 364.57,-211.74\"/>\n</g>\n<!-- 12 -->\n<g id=\"node13\" class=\"node\">\n<title>12</title>\n<polygon fill=\"#39e581\" stroke=\"black\" points=\"580.12,-192.25 459.88,-192.25 459.88,-118.25 580.12,-118.25 580.12,-192.25\"/>\n<text text-anchor=\"middle\" x=\"520\" y=\"-174.95\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">gini = 0.0</text>\n<text text-anchor=\"middle\" x=\"520\" y=\"-158.45\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">samples = 31</text>\n<text text-anchor=\"middle\" x=\"520\" y=\"-141.95\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">value = [0, 31, 0]</text>\n<text text-anchor=\"middle\" x=\"520\" y=\"-125.45\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">class = 1</text>\n</g>\n<!-- 8&#45;&gt;12 -->\n<g id=\"edge12\" 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      "text/plain": [
       "<graphviz.sources.Source at 0x1ee66b78828>"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "with open(\"tree.dot\") as f:\n",
    "    dot_graph = f.read()\n",
    "graphviz.Source(dot_graph)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([1, 0, 2, 1, 1, 0, 1, 2, 1, 1, 2, 0, 0, 0, 0, 1, 2, 1, 1, 2, 0, 2,\n",
       "       0, 2, 2, 2, 2, 2, 0, 0, 0, 0, 1, 0, 0, 2, 1, 0, 0, 0, 2, 1, 1, 0,\n",
       "       0, 1, 1, 2, 1, 2])"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dt_clf_1 = DecisionTreeClassifier(random_state=0, max_depth=3)\n",
    "\n",
    "dt_clf_1.fit(X_train, y_train)\n",
    "\n",
    "dt_clf_1.predict(X_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "tree_dot = export_graphviz(\n",
    "    dt_clf_1, \n",
    "    out_file=\"tree1.dot\",\n",
    "    feature_names=iris.feature_names, \n",
    "    class_names=['0','1','2'],\n",
    "    filled=True\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<graphviz.sources.Source at 0x1ee66b78710>"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "with open(\"tree1.dot\") as f:\n",
    "    dot_graph = f.read()\n",
    "graphviz.Source(dot_graph)"
   ]
  }
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