decision_tree.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np # linear algebra\n",
    "import pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)\n",
    "\n",
    "# load the data\n",
    "df = pd.read_csv('data/mushrooms.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "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>class</th>\n",
       "      <th>cap-shape</th>\n",
       "      <th>cap-surface</th>\n",
       "      <th>cap-color</th>\n",
       "      <th>bruises</th>\n",
       "      <th>odor</th>\n",
       "      <th>gill-attachment</th>\n",
       "      <th>gill-spacing</th>\n",
       "      <th>gill-size</th>\n",
       "      <th>gill-color</th>\n",
       "      <th>...</th>\n",
       "      <th>stalk-surface-below-ring</th>\n",
       "      <th>stalk-color-above-ring</th>\n",
       "      <th>stalk-color-below-ring</th>\n",
       "      <th>veil-type</th>\n",
       "      <th>veil-color</th>\n",
       "      <th>ring-number</th>\n",
       "      <th>ring-type</th>\n",
       "      <th>spore-print-color</th>\n",
       "      <th>population</th>\n",
       "      <th>habitat</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>0 rows × 23 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "Empty DataFrame\n",
       "Columns: [class, cap-shape, cap-surface, cap-color, bruises, odor, gill-attachment, gill-spacing, gill-size, gill-color, stalk-shape, stalk-root, stalk-surface-above-ring, stalk-surface-below-ring, stalk-color-above-ring, stalk-color-below-ring, veil-type, veil-color, ring-number, ring-type, spore-print-color, population, habitat]\n",
       "Index: []\n",
       "\n",
       "[0 rows x 23 columns]"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# There are no null columns in the dataset\n",
    "df[df.isnull().any(axis=1)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 8124 entries, 0 to 8123\n",
      "Columns: 117 entries, cap-shape_b to habitat_w\n",
      "dtypes: uint8(117)\n",
      "memory usage: 928.3 KB\n",
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 8124 entries, 0 to 8123\n",
      "Data columns (total 2 columns):\n",
      "e    8124 non-null uint8\n",
      "p    8124 non-null uint8\n",
      "dtypes: uint8(2)\n",
      "memory usage: 15.9 KB\n"
     ]
    }
   ],
   "source": [
    "from sklearn.model_selection import train_test_split\n",
    "\n",
    "\n",
    "# split the data int x(training data) and y (results)\n",
    "y = df['class']\n",
    "x = df.drop(['class'], axis=1)\n",
    "x = pd.get_dummies(x)\n",
    "y = pd.get_dummies(y)\n",
    "x.info()\n",
    "y.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib as mpl\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "DecisionTreeClassifier(class_weight='balanced', criterion='gini', max_depth=9,\n",
       "            max_features=None, max_leaf_nodes=None,\n",
       "            min_impurity_decrease=0.0, min_impurity_split=None,\n",
       "            min_samples_leaf=1, min_samples_split=2,\n",
       "            min_weight_fraction_leaf=0.0, presort=True, random_state=None,\n",
       "            splitter='best')"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.model_selection import cross_val_score\n",
    "from sklearn import tree\n",
    "from sklearn.model_selection import GridSearchCV\n",
    "\n",
    "X_train, X_test, y_train, y_test = train_test_split(x, y, test_size=0.2, random_state=2)\n",
    "\n",
    "parameters = {'criterion':('gini', 'entropy'), \n",
    "              'min_samples_split':[2,3,4,5], \n",
    "              'max_depth':[9,10,11,12],\n",
    "              'class_weight':('balanced', None),\n",
    "              'presort':(False,True),\n",
    "             }\n",
    "\n",
    "\n",
    "tr = tree.DecisionTreeClassifier()\n",
    "gsearch = GridSearchCV(tr, parameters)\n",
    "gsearch.fit(X_train, y_train)\n",
    "model = gsearch.best_estimator_\n",
    "model\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "훈련 세트 정확도: 1.000\n",
      "테스트 세트 정확도: 1.000\n"
     ]
    }
   ],
   "source": [
    "# score = model.score(X_test, y_test)\n",
    "# score\n",
    "print(\"훈련 세트 정확도: {:.3f}\".format(model.score(X_train, y_train)))\n",
    "print(\"테스트 세트 정확도: {:.3f}\".format(model.score(X_test, y_test)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [],
   "source": [
    "# tr = DecisionTreeClassifier(max_depth=4, random_state=0)\n",
    "# gsearch = GridSearchCV(tr, parameters)\n",
    "# gsearch.fit(X_train, y_train)\n",
    "# model = gsearch.best_estimator_\n",
    "# model\n",
    "\n",
    "# print(\"훈련 세트 정확도: {:.3f}\".format(model.score(X_train, y_train)))\n",
    "# print(\"테스트 세트 정확도: {:.3f}\".format(model.score(X_test, y_test)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "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 2.40.1 (20161225.0304)\n",
       " -->\n",
       "<!-- Title: Tree Pages: 1 -->\n",
       "<svg width=\"1397pt\" height=\"870pt\"\n",
       " viewBox=\"0.00 0.00 1396.94 870.00\" 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(4 866)\">\n",
       "<title>Tree</title>\n",
       "<polygon fill=\"#ffffff\" stroke=\"transparent\" points=\"-4,4 -4,-866 1392.9404,-866 1392.9404,4 -4,4\"/>\n",
       "<!-- 0 -->\n",
       "<g id=\"node1\" class=\"node\">\n",
       "<title>0</title>\n",
       "<path fill=\"transparent\" stroke=\"#000000\" d=\"M897.0208,-862C897.0208,-862 719.7058,-862 719.7058,-862 713.7058,-862 707.7058,-856 707.7058,-850 707.7058,-850 707.7058,-796 707.7058,-796 707.7058,-790 713.7058,-784 719.7058,-784 719.7058,-784 897.0208,-784 897.0208,-784 903.0208,-784 909.0208,-790 909.0208,-796 909.0208,-796 909.0208,-850 909.0208,-850 909.0208,-856 903.0208,-862 897.0208,-862\"/>\n",
       "<text text-anchor=\"start\" x=\"769.1045\" y=\"-846.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">odor_n ≤ 0.5</text>\n",
       "<text text-anchor=\"start\" x=\"779.7583\" y=\"-832.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">gini = 0.5</text>\n",
       "<text text-anchor=\"start\" x=\"758.748\" y=\"-818.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">samples = 6499</text>\n",
       "<text text-anchor=\"start\" x=\"715.5347\" y=\"-804.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">value = [[3351.079, 3153.898]</text>\n",
       "<text text-anchor=\"start\" x=\"740.2466\" y=\"-790.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">[3153.898, 3351.079]]</text>\n",
       "</g>\n",
       "<!-- 1 -->\n",
       "<g id=\"node2\" class=\"node\">\n",
       "<title>1</title>\n",
       "<path fill=\"#e58139\" fill-opacity=\"0.466667\" stroke=\"#000000\" d=\"M786.2344,-748C786.2344,-748 616.4921,-748 616.4921,-748 610.4921,-748 604.4921,-742 604.4921,-736 604.4921,-736 604.4921,-682 604.4921,-682 604.4921,-676 610.4921,-670 616.4921,-670 616.4921,-670 786.2344,-670 786.2344,-670 792.2344,-670 798.2344,-676 798.2344,-682 798.2344,-682 798.2344,-736 798.2344,-736 798.2344,-742 792.2344,-748 786.2344,-748\"/>\n",
       "<text text-anchor=\"start\" x=\"647.7217\" y=\"-732.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">stalk&#45;root_c ≤ 0.5</text>\n",
       "<text text-anchor=\"start\" x=\"664.9722\" y=\"-718.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">gini = 0.267</text>\n",
       "<text text-anchor=\"start\" x=\"651.748\" y=\"-704.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">samples = 3702</text>\n",
       "<text text-anchor=\"start\" x=\"612.4277\" y=\"-690.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">value = [[3244.729, 613.258]</text>\n",
       "<text text-anchor=\"start\" x=\"637.1396\" y=\"-676.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">[613.258, 3244.729]]</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=\"#000000\" d=\"M771.54,-783.7677C763.0493,-774.7216 753.936,-765.0121 745.1807,-755.6839\"/>\n",
       "<polygon fill=\"#000000\" stroke=\"#000000\" points=\"747.6502,-753.2008 738.2545,-748.3046 742.5462,-757.9914 747.6502,-753.2008\"/>\n",
       "<text text-anchor=\"middle\" x=\"737.463\" y=\"-769.0921\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">True</text>\n",
       "</g>\n",
       "<!-- 12 -->\n",
       "<g id=\"node13\" class=\"node\">\n",
       "<title>12</title>\n",
       "<path fill=\"#e58139\" fill-opacity=\"0.847059\" stroke=\"#000000\" d=\"M1044.6624,-748C1044.6624,-748 890.0642,-748 890.0642,-748 884.0642,-748 878.0642,-742 878.0642,-736 878.0642,-736 878.0642,-682 878.0642,-682 878.0642,-676 884.0642,-670 890.0642,-670 890.0642,-670 1044.6624,-670 1044.6624,-670 1050.6624,-670 1056.6624,-676 1056.6624,-682 1056.6624,-682 1056.6624,-736 1056.6624,-736 1056.6624,-742 1050.6624,-748 1044.6624,-748\"/>\n",
       "<text text-anchor=\"start\" x=\"892.7148\" y=\"-732.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">spore&#45;print&#45;color_r ≤ 0.5</text>\n",
       "<text text-anchor=\"start\" x=\"930.9722\" y=\"-718.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">gini = 0.077</text>\n",
       "<text text-anchor=\"start\" x=\"917.748\" y=\"-704.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">samples = 2797</text>\n",
       "<text text-anchor=\"start\" x=\"886.2139\" y=\"-690.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">value = [[106.35, 2540.64]</text>\n",
       "<text text-anchor=\"start\" x=\"910.9258\" y=\"-676.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">[2540.64, 106.35]]</text>\n",
       "</g>\n",
       "<!-- 0&#45;&gt;12 -->\n",
       "<g id=\"edge12\" class=\"edge\">\n",
       "<title>0&#45;&gt;12</title>\n",
       "<path fill=\"none\" stroke=\"#000000\" d=\"M863.0821,-783.7677C876.398,-774.2204 890.7445,-763.9342 904.4087,-754.1373\"/>\n",
       "<polygon fill=\"#000000\" stroke=\"#000000\" points=\"906.7255,-756.7828 912.8131,-748.1115 902.6467,-751.0939 906.7255,-756.7828\"/>\n",
       "<text text-anchor=\"middle\" x=\"908.7471\" y=\"-768.5786\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">False</text>\n",
       "</g>\n",
       "<!-- 2 -->\n",
       "<g id=\"node3\" class=\"node\">\n",
       "<title>2</title>\n",
       "<path fill=\"#e58139\" fill-opacity=\"0.760784\" stroke=\"#000000\" d=\"M529.2344,-634C529.2344,-634 359.4921,-634 359.4921,-634 353.4921,-634 347.4921,-628 347.4921,-622 347.4921,-622 347.4921,-568 347.4921,-568 347.4921,-562 353.4921,-556 359.4921,-556 359.4921,-556 529.2344,-556 529.2344,-556 535.2344,-556 541.2344,-562 541.2344,-568 541.2344,-568 541.2344,-622 541.2344,-622 541.2344,-628 535.2344,-634 529.2344,-634\"/>\n",
       "<text text-anchor=\"start\" x=\"391.8906\" y=\"-618.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">stalk&#45;root_r ≤ 0.5</text>\n",
       "<text text-anchor=\"start\" x=\"411.8652\" y=\"-604.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">gini = 0.12</text>\n",
       "<text text-anchor=\"start\" x=\"394.748\" y=\"-590.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">samples = 3256</text>\n",
       "<text text-anchor=\"start\" x=\"355.4277\" y=\"-576.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">value = [[3213.888, 220.434]</text>\n",
       "<text text-anchor=\"start\" x=\"380.1396\" y=\"-562.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">[220.434, 3213.888]]</text>\n",
       "</g>\n",
       "<!-- 1&#45;&gt;2 -->\n",
       "<g id=\"edge2\" class=\"edge\">\n",
       "<title>1&#45;&gt;2</title>\n",
       "<path fill=\"none\" stroke=\"#000000\" d=\"M613.278,-669.9272C590.1881,-659.6849 565.1599,-648.5829 541.6207,-638.1414\"/>\n",
       "<polygon fill=\"#000000\" stroke=\"#000000\" points=\"542.8937,-634.8773 532.3334,-634.0218 540.0553,-641.276 542.8937,-634.8773\"/>\n",
       "</g>\n",
       "<!-- 9 -->\n",
       "<g id=\"node10\" class=\"node\">\n",
       "<title>9</title>\n",
       "<path fill=\"#e58139\" fill-opacity=\"0.729412\" stroke=\"#000000\" d=\"M778.6624,-634C778.6624,-634 624.0642,-634 624.0642,-634 618.0642,-634 612.0642,-628 612.0642,-622 612.0642,-622 612.0642,-568 612.0642,-568 612.0642,-562 618.0642,-556 624.0642,-556 624.0642,-556 778.6624,-556 778.6624,-556 784.6624,-556 790.6624,-562 790.6624,-568 790.6624,-568 790.6624,-622 790.6624,-622 790.6624,-628 784.6624,-634 778.6624,-634\"/>\n",
       "<text text-anchor=\"start\" x=\"644.2012\" y=\"-618.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">population_c ≤ 0.5</text>\n",
       "<text text-anchor=\"start\" x=\"664.9722\" y=\"-604.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">gini = 0.135</text>\n",
       "<text text-anchor=\"start\" x=\"655.6411\" y=\"-590.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">samples = 446</text>\n",
       "<text text-anchor=\"start\" x=\"620.2139\" y=\"-576.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">value = [[30.841, 392.824]</text>\n",
       "<text text-anchor=\"start\" x=\"644.9258\" y=\"-562.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">[392.824, 30.841]]</text>\n",
       "</g>\n",
       "<!-- 1&#45;&gt;9 -->\n",
       "<g id=\"edge9\" class=\"edge\">\n",
       "<title>1&#45;&gt;9</title>\n",
       "<path fill=\"none\" stroke=\"#000000\" d=\"M701.3633,-669.7677C701.3633,-661.6172 701.3633,-652.9283 701.3633,-644.4649\"/>\n",
       "<polygon fill=\"#000000\" stroke=\"#000000\" points=\"704.8634,-644.3046 701.3633,-634.3046 697.8634,-644.3047 704.8634,-644.3046\"/>\n",
       "</g>\n",
       "<!-- 3 -->\n",
       "<g id=\"node4\" class=\"node\">\n",
       "<title>3</title>\n",
       "<path fill=\"#e58139\" fill-opacity=\"0.909804\" stroke=\"#000000\" d=\"M336.6624,-520C336.6624,-520 182.0642,-520 182.0642,-520 176.0642,-520 170.0642,-514 170.0642,-508 170.0642,-508 170.0642,-454 170.0642,-454 170.0642,-448 176.0642,-442 182.0642,-442 182.0642,-442 336.6624,-442 336.6624,-442 342.6624,-442 348.6624,-448 348.6624,-454 348.6624,-454 348.6624,-508 348.6624,-508 348.6624,-514 342.6624,-520 336.6624,-520\"/>\n",
       "<text text-anchor=\"start\" x=\"220.1045\" y=\"-504.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">odor_a ≤ 0.5</text>\n",
       "<text text-anchor=\"start\" x=\"222.9722\" y=\"-490.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">gini = 0.044</text>\n",
       "<text text-anchor=\"start\" x=\"209.748\" y=\"-476.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">samples = 3101</text>\n",
       "<text text-anchor=\"start\" x=\"178.2139\" y=\"-462.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">value = [[3213.888, 74.42]</text>\n",
       "<text text-anchor=\"start\" x=\"202.9258\" y=\"-448.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">[74.42, 3213.888]]</text>\n",
       "</g>\n",
       "<!-- 2&#45;&gt;3 -->\n",
       "<g id=\"edge3\" class=\"edge\">\n",
       "<title>2&#45;&gt;3</title>\n",
       "<path fill=\"none\" stroke=\"#000000\" d=\"M380.9556,-555.9272C365.0699,-546.1381 347.9097,-535.5637 331.6289,-525.5312\"/>\n",
       "<polygon fill=\"#000000\" stroke=\"#000000\" points=\"333.0377,-522.2882 322.6881,-520.0218 329.3654,-528.2476 333.0377,-522.2882\"/>\n",
       "</g>\n",
       "<!-- 8 -->\n",
       "<g id=\"node9\" class=\"node\">\n",
       "<title>8</title>\n",
       "<path fill=\"#e58139\" stroke=\"#000000\" d=\"M509.8037,-513C509.8037,-513 378.9228,-513 378.9228,-513 372.9228,-513 366.9228,-507 366.9228,-501 366.9228,-501 366.9228,-461 366.9228,-461 366.9228,-455 372.9228,-449 378.9228,-449 378.9228,-449 509.8037,-449 509.8037,-449 515.8037,-449 521.8037,-455 521.8037,-461 521.8037,-461 521.8037,-501 521.8037,-501 521.8037,-507 515.8037,-513 509.8037,-513\"/>\n",
       "<text text-anchor=\"start\" x=\"413.4272\" y=\"-497.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">gini = &#45;0.0</text>\n",
       "<text text-anchor=\"start\" x=\"398.6411\" y=\"-483.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">samples = 155</text>\n",
       "<text text-anchor=\"start\" x=\"374.8931\" y=\"-469.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">value = [[0.0, 146.014]</text>\n",
       "<text text-anchor=\"start\" x=\"399.605\" y=\"-455.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">[146.014, 0.0]]</text>\n",
       "</g>\n",
       "<!-- 2&#45;&gt;8 -->\n",
       "<g id=\"edge8\" class=\"edge\">\n",
       "<title>2&#45;&gt;8</title>\n",
       "<path fill=\"none\" stroke=\"#000000\" d=\"M444.3633,-555.7677C444.3633,-545.3338 444.3633,-534.0174 444.3633,-523.4215\"/>\n",
       "<polygon fill=\"#000000\" stroke=\"#000000\" points=\"447.8634,-523.1252 444.3633,-513.1252 440.8634,-523.1252 447.8634,-523.1252\"/>\n",
       "</g>\n",
       "<!-- 4 -->\n",
       "<g id=\"node5\" class=\"node\">\n",
       "<title>4</title>\n",
       "<path fill=\"#e58139\" fill-opacity=\"0.956863\" stroke=\"#000000\" d=\"M248.4483,-406C248.4483,-406 86.2783,-406 86.2783,-406 80.2783,-406 74.2783,-400 74.2783,-394 74.2783,-394 74.2783,-340 74.2783,-340 74.2783,-334 80.2783,-328 86.2783,-328 86.2783,-328 248.4483,-328 248.4483,-328 254.4483,-328 260.4483,-334 260.4483,-340 260.4483,-340 260.4483,-394 260.4483,-394 260.4483,-400 254.4483,-406 248.4483,-406\"/>\n",
       "<text text-anchor=\"start\" x=\"130.4424\" y=\"-390.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">odor_l ≤ 0.5</text>\n",
       "<text text-anchor=\"start\" x=\"130.9722\" y=\"-376.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">gini = 0.021</text>\n",
       "<text text-anchor=\"start\" x=\"117.748\" y=\"-362.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">samples = 3059</text>\n",
       "<text text-anchor=\"start\" x=\"82.3208\" y=\"-348.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">value = [[3213.888, 34.855]</text>\n",
       "<text text-anchor=\"start\" x=\"107.0327\" y=\"-334.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">[34.855, 3213.888]]</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=\"#000000\" d=\"M227.7021,-441.7677C220.5463,-432.9007 212.8761,-423.3964 205.4856,-414.2385\"/>\n",
       "<polygon fill=\"#000000\" stroke=\"#000000\" points=\"208.0868,-411.8886 199.0828,-406.3046 202.6394,-416.2847 208.0868,-411.8886\"/>\n",
       "</g>\n",
       "<!-- 7 -->\n",
       "<g id=\"node8\" class=\"node\">\n",
       "<title>7</title>\n",
       "<path fill=\"#e58139\" stroke=\"#000000\" d=\"M414.0177,-399C414.0177,-399 290.7089,-399 290.7089,-399 284.7089,-399 278.7089,-393 278.7089,-387 278.7089,-387 278.7089,-347 278.7089,-347 278.7089,-341 284.7089,-335 290.7089,-335 290.7089,-335 414.0177,-335 414.0177,-335 420.0177,-335 426.0177,-341 426.0177,-347 426.0177,-347 426.0177,-387 426.0177,-387 426.0177,-393 420.0177,-399 414.0177,-399\"/>\n",
       "<text text-anchor=\"start\" x=\"321.4272\" y=\"-383.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">gini = &#45;0.0</text>\n",
       "<text text-anchor=\"start\" x=\"310.5342\" y=\"-369.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">samples = 42</text>\n",
       "<text text-anchor=\"start\" x=\"286.7861\" y=\"-355.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">value = [[0.0, 39.565]</text>\n",
       "<text text-anchor=\"start\" x=\"311.498\" y=\"-341.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">[39.565, 0.0]]</text>\n",
       "</g>\n",
       "<!-- 3&#45;&gt;7 -->\n",
       "<g id=\"edge7\" class=\"edge\">\n",
       "<title>3&#45;&gt;7</title>\n",
       "<path fill=\"none\" stroke=\"#000000\" d=\"M291.3686,-441.7677C300.5011,-430.573 310.4624,-418.3624 319.6372,-407.1158\"/>\n",
       "<polygon fill=\"#000000\" stroke=\"#000000\" points=\"322.5466,-409.0863 326.1559,-399.1252 317.1225,-404.6614 322.5466,-409.0863\"/>\n",
       "</g>\n",
       "<!-- 5 -->\n",
       "<g id=\"node6\" class=\"node\">\n",
       "<title>5</title>\n",
       "<path fill=\"#e58139\" stroke=\"#000000\" d=\"M150.5901,-285C150.5901,-285 12.1365,-285 12.1365,-285 6.1365,-285 .1365,-279 .1365,-273 .1365,-273 .1365,-233 .1365,-233 .1365,-227 6.1365,-221 12.1365,-221 12.1365,-221 150.5901,-221 150.5901,-221 156.5901,-221 162.5901,-227 162.5901,-233 162.5901,-233 162.5901,-273 162.5901,-273 162.5901,-279 156.5901,-285 150.5901,-285\"/>\n",
       "<text text-anchor=\"start\" x=\"52.7583\" y=\"-269.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">gini = 0.0</text>\n",
       "<text text-anchor=\"start\" x=\"31.748\" y=\"-255.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">samples = 3022</text>\n",
       "<text text-anchor=\"start\" x=\"8\" y=\"-241.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">value = [[3213.888, 0.0]</text>\n",
       "<text text-anchor=\"start\" x=\"32.7119\" y=\"-227.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">[0.0, 3213.888]]</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=\"#000000\" d=\"M137.767,-327.7677C129.3219,-316.573 120.1104,-304.3624 111.6261,-293.1158\"/>\n",
       "<polygon fill=\"#000000\" stroke=\"#000000\" points=\"114.4146,-291.0005 105.5981,-285.1252 108.8264,-295.2162 114.4146,-291.0005\"/>\n",
       "</g>\n",
       "<!-- 6 -->\n",
       "<g id=\"node7\" class=\"node\">\n",
       "<title>6</title>\n",
       "<path fill=\"#e58139\" stroke=\"#000000\" d=\"M316.0177,-285C316.0177,-285 192.7089,-285 192.7089,-285 186.7089,-285 180.7089,-279 180.7089,-273 180.7089,-273 180.7089,-233 180.7089,-233 180.7089,-227 186.7089,-221 192.7089,-221 192.7089,-221 316.0177,-221 316.0177,-221 322.0177,-221 328.0177,-227 328.0177,-233 328.0177,-233 328.0177,-273 328.0177,-273 328.0177,-279 322.0177,-285 316.0177,-285\"/>\n",
       "<text text-anchor=\"start\" x=\"223.4272\" y=\"-269.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">gini = &#45;0.0</text>\n",
       "<text text-anchor=\"start\" x=\"212.5342\" y=\"-255.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">samples = 37</text>\n",
       "<text text-anchor=\"start\" x=\"188.7861\" y=\"-241.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">value = [[0.0, 34.855]</text>\n",
       "<text text-anchor=\"start\" x=\"213.498\" y=\"-227.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">[34.855, 0.0]]</text>\n",
       "</g>\n",
       "<!-- 4&#45;&gt;6 -->\n",
       "<g id=\"edge6\" class=\"edge\">\n",
       "<title>4&#45;&gt;6</title>\n",
       "<path fill=\"none\" stroke=\"#000000\" d=\"M197.3037,-327.7677C205.847,-316.573 215.1656,-304.3624 223.7486,-293.1158\"/>\n",
       "<polygon fill=\"#000000\" stroke=\"#000000\" points=\"226.5622,-295.1981 229.8467,-285.1252 220.9976,-290.9514 226.5622,-295.1981\"/>\n",
       "</g>\n",
       "<!-- 10 -->\n",
       "<g id=\"node11\" class=\"node\">\n",
       "<title>10</title>\n",
       "<path fill=\"#e58139\" stroke=\"#000000\" d=\"M682.8037,-513C682.8037,-513 551.9228,-513 551.9228,-513 545.9228,-513 539.9228,-507 539.9228,-501 539.9228,-501 539.9228,-461 539.9228,-461 539.9228,-455 545.9228,-449 551.9228,-449 551.9228,-449 682.8037,-449 682.8037,-449 688.8037,-449 694.8037,-455 694.8037,-461 694.8037,-461 694.8037,-501 694.8037,-501 694.8037,-507 688.8037,-513 682.8037,-513\"/>\n",
       "<text text-anchor=\"start\" x=\"586.4272\" y=\"-497.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">gini = &#45;0.0</text>\n",
       "<text text-anchor=\"start\" x=\"571.6411\" y=\"-483.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">samples = 417</text>\n",
       "<text text-anchor=\"start\" x=\"547.8931\" y=\"-469.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">value = [[0.0, 392.824]</text>\n",
       "<text text-anchor=\"start\" x=\"572.605\" y=\"-455.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">[392.824, 0.0]]</text>\n",
       "</g>\n",
       "<!-- 9&#45;&gt;10 -->\n",
       "<g id=\"edge10\" class=\"edge\">\n",
       "<title>9&#45;&gt;10</title>\n",
       "<path fill=\"none\" stroke=\"#000000\" d=\"M672.4552,-555.7677C664.2866,-544.6817 655.3839,-532.5994 647.1639,-521.4436\"/>\n",
       "<polygon fill=\"#000000\" stroke=\"#000000\" points=\"649.7842,-519.0996 641.0345,-513.1252 644.1488,-523.252 649.7842,-519.0996\"/>\n",
       "</g>\n",
       "<!-- 11 -->\n",
       "<g id=\"node12\" class=\"node\">\n",
       "<title>11</title>\n",
       "<path fill=\"#e58139\" stroke=\"#000000\" d=\"M848.0177,-513C848.0177,-513 724.7089,-513 724.7089,-513 718.7089,-513 712.7089,-507 712.7089,-501 712.7089,-501 712.7089,-461 712.7089,-461 712.7089,-455 718.7089,-449 724.7089,-449 724.7089,-449 848.0177,-449 848.0177,-449 854.0177,-449 860.0177,-455 860.0177,-461 860.0177,-461 860.0177,-501 860.0177,-501 860.0177,-507 854.0177,-513 848.0177,-513\"/>\n",
       "<text text-anchor=\"start\" x=\"757.7583\" y=\"-497.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">gini = 0.0</text>\n",
       "<text text-anchor=\"start\" x=\"744.5342\" y=\"-483.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">samples = 29</text>\n",
       "<text text-anchor=\"start\" x=\"720.7861\" y=\"-469.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">value = [[30.841, 0.0]</text>\n",
       "<text text-anchor=\"start\" x=\"745.498\" y=\"-455.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">[0.0, 30.841]]</text>\n",
       "</g>\n",
       "<!-- 9&#45;&gt;11 -->\n",
       "<g id=\"edge11\" class=\"edge\">\n",
       "<title>9&#45;&gt;11</title>\n",
       "<path fill=\"none\" stroke=\"#000000\" d=\"M730.6155,-555.7677C738.8813,-544.6817 747.89,-532.5994 756.2079,-521.4436\"/>\n",
       "<polygon fill=\"#000000\" stroke=\"#000000\" points=\"759.2387,-523.2342 762.4103,-513.1252 753.6269,-519.0499 759.2387,-523.2342\"/>\n",
       "</g>\n",
       "<!-- 13 -->\n",
       "<g id=\"node14\" class=\"node\">\n",
       "<title>13</title>\n",
       "<path fill=\"#e58139\" fill-opacity=\"0.929412\" stroke=\"#000000\" d=\"M1062.6809,-634C1062.6809,-634 872.0457,-634 872.0457,-634 866.0457,-634 860.0457,-628 860.0457,-622 860.0457,-622 860.0457,-568 860.0457,-568 860.0457,-562 866.0457,-556 872.0457,-556 872.0457,-556 1062.6809,-556 1062.6809,-556 1068.6809,-556 1074.6809,-562 1074.6809,-568 1074.6809,-568 1074.6809,-622 1074.6809,-622 1074.6809,-628 1068.6809,-634 1062.6809,-634\"/>\n",
       "<text text-anchor=\"start\" x=\"868.2046\" y=\"-618.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">stalk&#45;surface&#45;below&#45;ring_y ≤ 0.5</text>\n",
       "<text text-anchor=\"start\" x=\"930.9722\" y=\"-604.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">gini = 0.035</text>\n",
       "<text text-anchor=\"start\" x=\"917.748\" y=\"-590.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">samples = 2740</text>\n",
       "<text text-anchor=\"start\" x=\"890.1069\" y=\"-576.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">value = [[45.73, 2540.64]</text>\n",
       "<text text-anchor=\"start\" x=\"914.8188\" y=\"-562.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">[2540.64, 45.73]]</text>\n",
       "</g>\n",
       "<!-- 12&#45;&gt;13 -->\n",
       "<g id=\"edge13\" class=\"edge\">\n",
       "<title>12&#45;&gt;13</title>\n",
       "<path fill=\"none\" stroke=\"#000000\" d=\"M967.3633,-669.7677C967.3633,-661.6172 967.3633,-652.9283 967.3633,-644.4649\"/>\n",
       "<polygon fill=\"#000000\" stroke=\"#000000\" points=\"970.8634,-644.3046 967.3633,-634.3046 963.8634,-644.3047 970.8634,-644.3046\"/>\n",
       "</g>\n",
       "<!-- 26 -->\n",
       "<g id=\"node27\" class=\"node\">\n",
       "<title>26</title>\n",
       "<path fill=\"#e58139\" stroke=\"#000000\" d=\"M1228.0177,-627C1228.0177,-627 1104.7089,-627 1104.7089,-627 1098.7089,-627 1092.7089,-621 1092.7089,-615 1092.7089,-615 1092.7089,-575 1092.7089,-575 1092.7089,-569 1098.7089,-563 1104.7089,-563 1104.7089,-563 1228.0177,-563 1228.0177,-563 1234.0177,-563 1240.0177,-569 1240.0177,-575 1240.0177,-575 1240.0177,-615 1240.0177,-615 1240.0177,-621 1234.0177,-627 1228.0177,-627\"/>\n",
       "<text text-anchor=\"start\" x=\"1135.4272\" y=\"-611.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">gini = &#45;0.0</text>\n",
       "<text text-anchor=\"start\" x=\"1124.5342\" y=\"-597.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">samples = 57</text>\n",
       "<text text-anchor=\"start\" x=\"1100.7861\" y=\"-583.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">value = [[60.619, 0.0]</text>\n",
       "<text text-anchor=\"start\" x=\"1125.498\" y=\"-569.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">[0.0, 60.619]]</text>\n",
       "</g>\n",
       "<!-- 12&#45;&gt;26 -->\n",
       "<g id=\"edge26\" class=\"edge\">\n",
       "<title>12&#45;&gt;26</title>\n",
       "<path fill=\"none\" stroke=\"#000000\" d=\"M1035.5694,-669.9272C1056.9327,-657.6889 1080.4389,-644.223 1101.5605,-632.1232\"/>\n",
       "<polygon fill=\"#000000\" stroke=\"#000000\" points=\"1103.5161,-635.0366 1110.4534,-627.0288 1100.0365,-628.9626 1103.5161,-635.0366\"/>\n",
       "</g>\n",
       "<!-- 14 -->\n",
       "<g id=\"node15\" class=\"node\">\n",
       "<title>14</title>\n",
       "<path fill=\"#e58139\" fill-opacity=\"0.992157\" stroke=\"#000000\" d=\"M1044.6624,-520C1044.6624,-520 890.0642,-520 890.0642,-520 884.0642,-520 878.0642,-514 878.0642,-508 878.0642,-508 878.0642,-454 878.0642,-454 878.0642,-448 884.0642,-442 890.0642,-442 890.0642,-442 1044.6624,-442 1044.6624,-442 1050.6624,-442 1056.6624,-448 1056.6624,-454 1056.6624,-454 1056.6624,-508 1056.6624,-508 1056.6624,-514 1050.6624,-520 1044.6624,-520\"/>\n",
       "<text text-anchor=\"start\" x=\"905.5425\" y=\"-504.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">cap&#45;surface_g ≤ 0.5</text>\n",
       "<text text-anchor=\"start\" x=\"930.9722\" y=\"-490.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">gini = 0.004</text>\n",
       "<text text-anchor=\"start\" x=\"917.748\" y=\"-476.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">samples = 2689</text>\n",
       "<text text-anchor=\"start\" x=\"886.2139\" y=\"-462.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">value = [[5.317, 2528.394]</text>\n",
       "<text text-anchor=\"start\" x=\"910.9258\" y=\"-448.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">[2528.394, 5.317]]</text>\n",
       "</g>\n",
       "<!-- 13&#45;&gt;14 -->\n",
       "<g id=\"edge14\" class=\"edge\">\n",
       "<title>13&#45;&gt;14</title>\n",
       "<path fill=\"none\" stroke=\"#000000\" d=\"M967.3633,-555.7677C967.3633,-547.6172 967.3633,-538.9283 967.3633,-530.4649\"/>\n",
       "<polygon fill=\"#000000\" stroke=\"#000000\" points=\"970.8634,-530.3046 967.3633,-520.3046 963.8634,-530.3047 970.8634,-530.3046\"/>\n",
       "</g>\n",
       "<!-- 23 -->\n",
       "<g id=\"node24\" class=\"node\">\n",
       "<title>23</title>\n",
       "<path fill=\"#e58139\" fill-opacity=\"0.286275\" stroke=\"#000000\" d=\"M1232.3767,-520C1232.3767,-520 1086.3499,-520 1086.3499,-520 1080.3499,-520 1074.3499,-514 1074.3499,-508 1074.3499,-508 1074.3499,-454 1074.3499,-454 1074.3499,-448 1080.3499,-442 1086.3499,-442 1086.3499,-442 1232.3767,-442 1232.3767,-442 1238.3767,-442 1244.3767,-448 1244.3767,-454 1244.3767,-454 1244.3767,-508 1244.3767,-508 1244.3767,-514 1238.3767,-520 1232.3767,-520\"/>\n",
       "<text text-anchor=\"start\" x=\"1102.2012\" y=\"-504.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">population_y ≤ 0.5</text>\n",
       "<text text-anchor=\"start\" x=\"1122.9722\" y=\"-490.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">gini = 0.357</text>\n",
       "<text text-anchor=\"start\" x=\"1117.5342\" y=\"-476.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">samples = 51</text>\n",
       "<text text-anchor=\"start\" x=\"1082.1069\" y=\"-462.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">value = [[40.413, 12.246]</text>\n",
       "<text text-anchor=\"start\" x=\"1106.8188\" y=\"-448.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">[12.246, 40.413]]</text>\n",
       "</g>\n",
       "<!-- 13&#45;&gt;23 -->\n",
       "<g id=\"edge23\" class=\"edge\">\n",
       "<title>13&#45;&gt;23</title>\n",
       "<path fill=\"none\" stroke=\"#000000\" d=\"M1033.1702,-555.9272C1049.8096,-546.0475 1067.7964,-535.3678 1084.8325,-525.2527\"/>\n",
       "<polygon fill=\"#000000\" stroke=\"#000000\" points=\"1086.8307,-528.1367 1093.6424,-520.0218 1083.2569,-522.1177 1086.8307,-528.1367\"/>\n",
       "</g>\n",
       "<!-- 15 -->\n",
       "<g id=\"node16\" class=\"node\">\n",
       "<title>15</title>\n",
       "<path fill=\"#e58139\" fill-opacity=\"0.996078\" stroke=\"#000000\" d=\"M880.6624,-406C880.6624,-406 726.0642,-406 726.0642,-406 720.0642,-406 714.0642,-400 714.0642,-394 714.0642,-394 714.0642,-340 714.0642,-340 714.0642,-334 720.0642,-328 726.0642,-328 726.0642,-328 880.6624,-328 880.6624,-328 886.6624,-328 892.6624,-334 892.6624,-340 892.6624,-340 892.6624,-394 892.6624,-394 892.6624,-400 886.6624,-406 880.6624,-406\"/>\n",
       "<text text-anchor=\"start\" x=\"745.8184\" y=\"-390.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">cap&#45;shape_c ≤ 0.5</text>\n",
       "<text text-anchor=\"start\" x=\"766.9722\" y=\"-376.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">gini = 0.002</text>\n",
       "<text text-anchor=\"start\" x=\"753.748\" y=\"-362.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">samples = 2686</text>\n",
       "<text text-anchor=\"start\" x=\"722.2139\" y=\"-348.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">value = [[2.127, 2528.394]</text>\n",
       "<text text-anchor=\"start\" x=\"746.9258\" y=\"-334.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">[2528.394, 2.127]]</text>\n",
       "</g>\n",
       "<!-- 14&#45;&gt;15 -->\n",
       "<g id=\"edge15\" class=\"edge\">\n",
       "<title>14&#45;&gt;15</title>\n",
       "<path fill=\"none\" stroke=\"#000000\" d=\"M910.9238,-441.7677C897.0596,-432.1303 882.1122,-421.7401 867.8989,-411.8601\"/>\n",
       "<polygon fill=\"#000000\" stroke=\"#000000\" points=\"869.8377,-408.9453 859.6289,-406.1115 865.8423,-414.6931 869.8377,-408.9453\"/>\n",
       "</g>\n",
       "<!-- 22 -->\n",
       "<g id=\"node23\" class=\"node\">\n",
       "<title>22</title>\n",
       "<path fill=\"#e58139\" stroke=\"#000000\" d=\"M1029.946,-399C1029.946,-399 922.7806,-399 922.7806,-399 916.7806,-399 910.7806,-393 910.7806,-387 910.7806,-387 910.7806,-347 910.7806,-347 910.7806,-341 916.7806,-335 922.7806,-335 922.7806,-335 1029.946,-335 1029.946,-335 1035.946,-335 1041.946,-341 1041.946,-347 1041.946,-347 1041.946,-387 1041.946,-387 1041.946,-393 1035.946,-399 1029.946,-399\"/>\n",
       "<text text-anchor=\"start\" x=\"945.4272\" y=\"-383.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">gini = &#45;0.0</text>\n",
       "<text text-anchor=\"start\" x=\"938.4272\" y=\"-369.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">samples = 3</text>\n",
       "<text text-anchor=\"start\" x=\"918.5723\" y=\"-355.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">value = [[3.19, 0.0]</text>\n",
       "<text text-anchor=\"start\" x=\"943.2842\" y=\"-341.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">[0.0, 3.19]]</text>\n",
       "</g>\n",
       "<!-- 14&#45;&gt;22 -->\n",
       "<g id=\"edge22\" class=\"edge\">\n",
       "<title>14&#45;&gt;22</title>\n",
       "<path fill=\"none\" stroke=\"#000000\" d=\"M970.4606,-441.7677C971.2843,-431.3338 972.1777,-420.0174 973.0142,-409.4215\"/>\n",
       "<polygon fill=\"#000000\" stroke=\"#000000\" points=\"976.5291,-409.3697 973.8271,-399.1252 969.5508,-408.8187 976.5291,-409.3697\"/>\n",
       "</g>\n",
       "<!-- 16 -->\n",
       "<g id=\"node17\" class=\"node\">\n",
       "<title>16</title>\n",
       "<path fill=\"#e58139\" stroke=\"#000000\" d=\"M791.6624,-292C791.6624,-292 637.0642,-292 637.0642,-292 631.0642,-292 625.0642,-286 625.0642,-280 625.0642,-280 625.0642,-226 625.0642,-226 625.0642,-220 631.0642,-214 637.0642,-214 637.0642,-214 791.6624,-214 791.6624,-214 797.6624,-214 803.6624,-220 803.6624,-226 803.6624,-226 803.6624,-280 803.6624,-280 803.6624,-286 797.6624,-292 791.6624,-292\"/>\n",
       "<text text-anchor=\"start\" x=\"665.7769\" y=\"-276.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">gill&#45;size_b ≤ 0.5</text>\n",
       "<text text-anchor=\"start\" x=\"677.9722\" y=\"-262.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">gini = 0.001</text>\n",
       "<text text-anchor=\"start\" x=\"664.748\" y=\"-248.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">samples = 2685</text>\n",
       "<text text-anchor=\"start\" x=\"633.2139\" y=\"-234.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">value = [[1.063, 2528.394]</text>\n",
       "<text text-anchor=\"start\" x=\"657.9258\" y=\"-220.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">[2528.394, 1.063]]</text>\n",
       "</g>\n",
       "<!-- 15&#45;&gt;16 -->\n",
       "<g id=\"edge16\" class=\"edge\">\n",
       "<title>15&#45;&gt;16</title>\n",
       "<path fill=\"none\" stroke=\"#000000\" d=\"M772.7345,-327.7677C765.8121,-318.9007 758.392,-309.3964 751.2425,-300.2385\"/>\n",
       "<polygon fill=\"#000000\" stroke=\"#000000\" points=\"753.9611,-298.0332 745.0485,-292.3046 748.4435,-302.3408 753.9611,-298.0332\"/>\n",
       "</g>\n",
       "<!-- 21 -->\n",
       "<g id=\"node22\" class=\"node\">\n",
       "<title>21</title>\n",
       "<path fill=\"#e58139\" stroke=\"#000000\" d=\"M949.2319,-285C949.2319,-285 833.4946,-285 833.4946,-285 827.4946,-285 821.4946,-279 821.4946,-273 821.4946,-273 821.4946,-233 821.4946,-233 821.4946,-227 827.4946,-221 833.4946,-221 833.4946,-221 949.2319,-221 949.2319,-221 955.2319,-221 961.2319,-227 961.2319,-233 961.2319,-233 961.2319,-273 961.2319,-273 961.2319,-279 955.2319,-285 949.2319,-285\"/>\n",
       "<text text-anchor=\"start\" x=\"860.4272\" y=\"-269.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">gini = &#45;0.0</text>\n",
       "<text text-anchor=\"start\" x=\"853.4272\" y=\"-255.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">samples = 1</text>\n",
       "<text text-anchor=\"start\" x=\"829.6792\" y=\"-241.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">value = [[1.063, 0.0]</text>\n",
       "<text text-anchor=\"start\" x=\"854.3911\" y=\"-227.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">[0.0, 1.063]]</text>\n",
       "</g>\n",
       "<!-- 15&#45;&gt;21 -->\n",
       "<g id=\"edge21\" class=\"edge\">\n",
       "<title>15&#45;&gt;21</title>\n",
       "<path fill=\"none\" stroke=\"#000000\" d=\"M833.6479,-327.7677C842.2894,-316.573 851.7151,-304.3624 860.3967,-293.1158\"/>\n",
       "<polygon fill=\"#000000\" stroke=\"#000000\" points=\"863.2249,-295.1798 866.5649,-285.1252 857.6837,-290.9024 863.2249,-295.1798\"/>\n",
       "</g>\n",
       "<!-- 17 -->\n",
       "<g id=\"node18\" class=\"node\">\n",
       "<title>17</title>\n",
       "<path fill=\"#e58139\" fill-opacity=\"0.968627\" stroke=\"#000000\" d=\"M697.3767,-178C697.3767,-178 551.3499,-178 551.3499,-178 545.3499,-178 539.3499,-172 539.3499,-166 539.3499,-166 539.3499,-112 539.3499,-112 539.3499,-106 545.3499,-100 551.3499,-100 551.3499,-100 697.3767,-100 697.3767,-100 703.3767,-100 709.3767,-106 709.3767,-112 709.3767,-112 709.3767,-166 709.3767,-166 709.3767,-172 703.3767,-178 697.3767,-178\"/>\n",
       "<text text-anchor=\"start\" x=\"567.2012\" y=\"-162.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">population_c ≤ 0.5</text>\n",
       "<text text-anchor=\"start\" x=\"587.9722\" y=\"-148.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">gini = 0.015</text>\n",
       "<text text-anchor=\"start\" x=\"578.6411\" y=\"-134.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">samples = 151</text>\n",
       "<text text-anchor=\"start\" x=\"547.1069\" y=\"-120.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">value = [[1.063, 141.304]</text>\n",
       "<text text-anchor=\"start\" x=\"571.8188\" y=\"-106.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">[141.304, 1.063]]</text>\n",
       "</g>\n",
       "<!-- 16&#45;&gt;17 -->\n",
       "<g id=\"edge17\" class=\"edge\">\n",
       "<title>16&#45;&gt;17</title>\n",
       "<path fill=\"none\" stroke=\"#000000\" d=\"M683.3904,-213.7677C676.3902,-204.9007 668.8867,-195.3964 661.6569,-186.2385\"/>\n",
       "<polygon fill=\"#000000\" stroke=\"#000000\" points=\"664.3368,-183.9847 655.3933,-178.3046 658.8427,-188.3223 664.3368,-183.9847\"/>\n",
       "</g>\n",
       "<!-- 20 -->\n",
       "<g id=\"node21\" class=\"node\">\n",
       "<title>20</title>\n",
       "<path fill=\"#e58139\" stroke=\"#000000\" d=\"M870.8037,-171C870.8037,-171 739.9228,-171 739.9228,-171 733.9228,-171 727.9228,-165 727.9228,-159 727.9228,-159 727.9228,-119 727.9228,-119 727.9228,-113 733.9228,-107 739.9228,-107 739.9228,-107 870.8037,-107 870.8037,-107 876.8037,-107 882.8037,-113 882.8037,-119 882.8037,-119 882.8037,-159 882.8037,-159 882.8037,-165 876.8037,-171 870.8037,-171\"/>\n",
       "<text text-anchor=\"start\" x=\"774.4272\" y=\"-155.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">gini = &#45;0.0</text>\n",
       "<text text-anchor=\"start\" x=\"755.748\" y=\"-141.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">samples = 2534</text>\n",
       "<text text-anchor=\"start\" x=\"735.8931\" y=\"-127.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">value = [[0.0, 2387.09]</text>\n",
       "<text text-anchor=\"start\" x=\"760.605\" y=\"-113.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">[2387.09, 0.0]]</text>\n",
       "</g>\n",
       "<!-- 16&#45;&gt;20 -->\n",
       "<g id=\"edge20\" class=\"edge\">\n",
       "<title>16&#45;&gt;20</title>\n",
       "<path fill=\"none\" stroke=\"#000000\" d=\"M745.6803,-213.7677C754.6164,-202.573 764.3635,-190.3624 773.341,-179.1158\"/>\n",
       "<polygon fill=\"#000000\" stroke=\"#000000\" points=\"776.2162,-181.1241 779.7195,-171.1252 770.7455,-176.7571 776.2162,-181.1241\"/>\n",
       "</g>\n",
       "<!-- 18 -->\n",
       "<g id=\"node19\" class=\"node\">\n",
       "<title>18</title>\n",
       "<path fill=\"#e58139\" stroke=\"#000000\" d=\"M607.8037,-64C607.8037,-64 476.9228,-64 476.9228,-64 470.9228,-64 464.9228,-58 464.9228,-52 464.9228,-52 464.9228,-12 464.9228,-12 464.9228,-6 470.9228,0 476.9228,0 476.9228,0 607.8037,0 607.8037,0 613.8037,0 619.8037,-6 619.8037,-12 619.8037,-12 619.8037,-52 619.8037,-52 619.8037,-58 613.8037,-64 607.8037,-64\"/>\n",
       "<text text-anchor=\"start\" x=\"513.7583\" y=\"-48.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">gini = 0.0</text>\n",
       "<text text-anchor=\"start\" x=\"496.6411\" y=\"-34.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">samples = 150</text>\n",
       "<text text-anchor=\"start\" x=\"472.8931\" y=\"-20.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">value = [[0.0, 141.304]</text>\n",
       "<text text-anchor=\"start\" x=\"497.605\" y=\"-6.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">[141.304, 0.0]]</text>\n",
       "</g>\n",
       "<!-- 17&#45;&gt;18 -->\n",
       "<g id=\"edge18\" class=\"edge\">\n",
       "<title>17&#45;&gt;18</title>\n",
       "<path fill=\"none\" stroke=\"#000000\" d=\"M594.2951,-99.7647C587.436,-90.8144 580.1365,-81.2894 573.244,-72.2955\"/>\n",
       "<polygon fill=\"#000000\" stroke=\"#000000\" points=\"575.9137,-70.0252 567.0528,-64.2169 570.3576,-74.2831 575.9137,-70.0252\"/>\n",
       "</g>\n",
       "<!-- 19 -->\n",
       "<g id=\"node20\" class=\"node\">\n",
       "<title>19</title>\n",
       "<path fill=\"#e58139\" stroke=\"#000000\" d=\"M765.2319,-64C765.2319,-64 649.4946,-64 649.4946,-64 643.4946,-64 637.4946,-58 637.4946,-52 637.4946,-52 637.4946,-12 637.4946,-12 637.4946,-6 643.4946,0 649.4946,0 649.4946,0 765.2319,0 765.2319,0 771.2319,0 777.2319,-6 777.2319,-12 777.2319,-12 777.2319,-52 777.2319,-52 777.2319,-58 771.2319,-64 765.2319,-64\"/>\n",
       "<text text-anchor=\"start\" x=\"676.4272\" y=\"-48.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">gini = &#45;0.0</text>\n",
       "<text text-anchor=\"start\" x=\"669.4272\" y=\"-34.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">samples = 1</text>\n",
       "<text text-anchor=\"start\" x=\"645.6792\" y=\"-20.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">value = [[1.063, 0.0]</text>\n",
       "<text text-anchor=\"start\" x=\"670.3911\" y=\"-6.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">[0.0, 1.063]]</text>\n",
       "</g>\n",
       "<!-- 17&#45;&gt;19 -->\n",
       "<g id=\"edge19\" class=\"edge\">\n",
       "<title>17&#45;&gt;19</title>\n",
       "<path fill=\"none\" stroke=\"#000000\" d=\"M654.7981,-99.7647C661.7409,-90.8144 669.1294,-81.2894 676.106,-72.2955\"/>\n",
       "<polygon fill=\"#000000\" stroke=\"#000000\" points=\"679.0089,-74.2636 682.3726,-64.2169 673.4779,-69.9731 679.0089,-74.2636\"/>\n",
       "</g>\n",
       "<!-- 24 -->\n",
       "<g id=\"node25\" class=\"node\">\n",
       "<title>24</title>\n",
       "<path fill=\"#e58139\" stroke=\"#000000\" d=\"M1212.0177,-399C1212.0177,-399 1088.7089,-399 1088.7089,-399 1082.7089,-399 1076.7089,-393 1076.7089,-387 1076.7089,-387 1076.7089,-347 1076.7089,-347 1076.7089,-341 1082.7089,-335 1088.7089,-335 1088.7089,-335 1212.0177,-335 1212.0177,-335 1218.0177,-335 1224.0177,-341 1224.0177,-347 1224.0177,-347 1224.0177,-387 1224.0177,-387 1224.0177,-393 1218.0177,-399 1212.0177,-399\"/>\n",
       "<text text-anchor=\"start\" x=\"1121.7583\" y=\"-383.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">gini = 0.0</text>\n",
       "<text text-anchor=\"start\" x=\"1108.5342\" y=\"-369.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">samples = 38</text>\n",
       "<text text-anchor=\"start\" x=\"1084.7861\" y=\"-355.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">value = [[40.413, 0.0]</text>\n",
       "<text text-anchor=\"start\" x=\"1109.498\" y=\"-341.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">[0.0, 40.413]]</text>\n",
       "</g>\n",
       "<!-- 23&#45;&gt;24 -->\n",
       "<g id=\"edge24\" class=\"edge\">\n",
       "<title>23&#45;&gt;24</title>\n",
       "<path fill=\"none\" stroke=\"#000000\" d=\"M1156.266,-441.7677C1155.4423,-431.3338 1154.5489,-420.0174 1153.7124,-409.4215\"/>\n",
       "<polygon fill=\"#000000\" stroke=\"#000000\" points=\"1157.1757,-408.8187 1152.8995,-399.1252 1150.1975,-409.3697 1157.1757,-408.8187\"/>\n",
       "</g>\n",
       "<!-- 25 -->\n",
       "<g id=\"node26\" class=\"node\">\n",
       "<title>25</title>\n",
       "<path fill=\"#e58139\" stroke=\"#000000\" d=\"M1377.0177,-399C1377.0177,-399 1253.7089,-399 1253.7089,-399 1247.7089,-399 1241.7089,-393 1241.7089,-387 1241.7089,-387 1241.7089,-347 1241.7089,-347 1241.7089,-341 1247.7089,-335 1253.7089,-335 1253.7089,-335 1377.0177,-335 1377.0177,-335 1383.0177,-335 1389.0177,-341 1389.0177,-347 1389.0177,-347 1389.0177,-387 1389.0177,-387 1389.0177,-393 1383.0177,-399 1377.0177,-399\"/>\n",
       "<text text-anchor=\"start\" x=\"1284.4272\" y=\"-383.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">gini = &#45;0.0</text>\n",
       "<text text-anchor=\"start\" x=\"1273.5342\" y=\"-369.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">samples = 13</text>\n",
       "<text text-anchor=\"start\" x=\"1249.7861\" y=\"-355.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">value = [[0.0, 12.246]</text>\n",
       "<text text-anchor=\"start\" x=\"1274.498\" y=\"-341.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\" fill=\"#000000\">[12.246, 0.0]]</text>\n",
       "</g>\n",
       "<!-- 23&#45;&gt;25 -->\n",
       "<g id=\"edge25\" class=\"edge\">\n",
       "<title>23&#45;&gt;25</title>\n",
       "<path fill=\"none\" stroke=\"#000000\" d=\"M1213.0496,-441.7677C1229.261,-429.9209 1247.0293,-416.9364 1263.1435,-405.1606\"/>\n",
       "<polygon fill=\"#000000\" stroke=\"#000000\" points=\"1265.3936,-407.8513 1271.4025,-399.1252 1261.2635,-402.1995 1265.3936,-407.8513\"/>\n",
       "</g>\n",
       "</g>\n",
       "</svg>\n"
      ],
      "text/plain": [
       "<graphviz.files.Source at 0x10a27f6d8>"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import graphviz\n",
    "\n",
    "dot_data = tree.export_graphviz(model, out_file=None,\n",
    "                                feature_names=X_test.columns,\n",
    "                               class_names=[\"Edible\", \"Poison\"],\n",
    "                               filled=True, rounded=True,\n",
    "                               special_characters=True)\n",
    "graph = graphviz.Source(dot_data)\n",
    "graph"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "특성 중요도:\n",
      "[0.         0.00065374 0.         0.         0.         0.\n",
      " 0.         0.00195791 0.         0.         0.         0.\n",
      " 0.         0.         0.         0.         0.         0.\n",
      " 0.         0.         0.         0.00064967 0.02354499 0.\n",
      " 0.         0.02122231 0.         0.61972457 0.         0.\n",
      " 0.         0.         0.         0.         0.         0.0057891\n",
      " 0.         0.         0.         0.         0.         0.\n",
      " 0.         0.         0.         0.         0.         0.\n",
      " 0.         0.         0.         0.         0.         0.17288465\n",
      " 0.         0.         0.         0.         0.         0.\n",
      " 0.         0.         0.         0.10079491 0.         0.01760041\n",
      " 0.         0.         0.         0.         0.         0.\n",
      " 0.         0.         0.         0.         0.         0.\n",
      " 0.         0.         0.         0.         0.         0.\n",
      " 0.         0.         0.         0.         0.         0.\n",
      " 0.         0.         0.         0.         0.         0.\n",
      " 0.         0.         0.         0.         0.03517774 0.\n",
      " 0.         0.         0.         0.         0.         0.\n",
      " 0.         0.         0.         0.         0.         0.\n",
      " 0.         0.         0.        ]\n"
     ]
    }
   ],
   "source": [
    "print(\"특성 중요도:\\n{}\".format(model.feature_importances_))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1440x2160 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "def plot_feature_importances_mushroom(model):\n",
    "    n_features = x.shape[1]\n",
    "    plt.figure(figsize=(20, 30))\n",
    "    plt.barh(range(n_features), model.feature_importances_, align='center')\n",
    "    plt.yticks(np.arange(n_features), X_test.columns)\n",
    "    plt.xlabel(\"특성 중요도\")\n",
    "    plt.ylabel(\"특성\")\n",
    "    plt.ylim(-1, n_features)\n",
    "    \n",
    "    \n",
    "plot_feature_importances_mushroom(model)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Feature importances: [0. 1.]\n"
     ]
    },
    {
     "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 2.40.1 (20161225.0304)\n",
       " -->\n",
       "<!-- Title: Tree Pages: 1 -->\n",
       "<svg width=\"285pt\" height=\"216pt\"\n",
       " viewBox=\"0.00 0.00 284.54 216.00\" 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(4 212)\">\n",
       "<title>Tree</title>\n",
       "<polygon fill=\"#ffffff\" stroke=\"transparent\" points=\"-4,4 -4,-212 280.5371,-212 280.5371,4 -4,4\"/>\n",
       "<!-- 0 -->\n",
       "<g id=\"node1\" class=\"node\">\n",
       "<title>0</title>\n",
       "<polygon fill=\"transparent\" stroke=\"#000000\" points=\"161.8067,-208 56.7304,-208 56.7304,-158 161.8067,-158 161.8067,-208\"/>\n",
       "<text text-anchor=\"middle\" x=\"109.2686\" y=\"-192.8\" font-family=\"Times,serif\" font-size=\"14.00\" fill=\"#000000\">X[1] &lt;= &#45;5.814</text>\n",
       "<text text-anchor=\"middle\" x=\"109.2686\" y=\"-178.8\" font-family=\"Times,serif\" font-size=\"14.00\" fill=\"#000000\">samples = 100</text>\n",
       "<text text-anchor=\"middle\" x=\"109.2686\" y=\"-164.8\" font-family=\"Times,serif\" font-size=\"14.00\" fill=\"#000000\">value = [50, 50]</text>\n",
       "</g>\n",
       "<!-- 1 -->\n",
       "<g id=\"node2\" class=\"node\">\n",
       "<title>1</title>\n",
       "<polygon fill=\"#e58139\" stroke=\"#000000\" points=\"98.3067,-115 .2304,-115 .2304,-79 98.3067,-79 98.3067,-115\"/>\n",
       "<text text-anchor=\"middle\" x=\"49.2686\" y=\"-99.8\" font-family=\"Times,serif\" font-size=\"14.00\" fill=\"#000000\">samples = 25</text>\n",
       "<text text-anchor=\"middle\" x=\"49.2686\" y=\"-85.8\" font-family=\"Times,serif\" font-size=\"14.00\" fill=\"#000000\">value = [25, 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=\"#000000\" d=\"M91.5911,-157.6623C84.063,-146.872 75.2818,-134.2857 67.6757,-123.3835\"/>\n",
       "<polygon fill=\"#000000\" stroke=\"#000000\" points=\"70.4663,-121.2664 61.8739,-115.0677 64.7254,-125.2717 70.4663,-121.2664\"/>\n",
       "<text text-anchor=\"middle\" x=\"57.4908\" y=\"-135.4805\" font-family=\"Times,serif\" font-size=\"14.00\" fill=\"#000000\">True</text>\n",
       "</g>\n",
       "<!-- 2 -->\n",
       "<g id=\"node3\" class=\"node\">\n",
       "<title>2</title>\n",
       "<polygon fill=\"#399de5\" fill-opacity=\"0.498039\" stroke=\"#000000\" points=\"221.8067,-122 116.7304,-122 116.7304,-72 221.8067,-72 221.8067,-122\"/>\n",
       "<text text-anchor=\"middle\" x=\"169.2686\" y=\"-106.8\" font-family=\"Times,serif\" font-size=\"14.00\" fill=\"#000000\">X[1] &lt;= 5.348</text>\n",
       "<text text-anchor=\"middle\" x=\"169.2686\" y=\"-92.8\" font-family=\"Times,serif\" font-size=\"14.00\" fill=\"#000000\">samples = 75</text>\n",
       "<text text-anchor=\"middle\" x=\"169.2686\" y=\"-78.8\" font-family=\"Times,serif\" font-size=\"14.00\" fill=\"#000000\">value = [25, 50]</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=\"#000000\" d=\"M126.946,-157.6623C132.8662,-149.1767 139.5613,-139.5803 145.8505,-130.5658\"/>\n",
       "<polygon fill=\"#000000\" stroke=\"#000000\" points=\"148.866,-132.3605 151.7174,-122.1566 143.1251,-128.3552 148.866,-132.3605\"/>\n",
       "<text text-anchor=\"middle\" x=\"156.1005\" y=\"-142.5694\" font-family=\"Times,serif\" font-size=\"14.00\" fill=\"#000000\">False</text>\n",
       "</g>\n",
       "<!-- 3 -->\n",
       "<g id=\"node4\" class=\"node\">\n",
       "<title>3</title>\n",
       "<polygon fill=\"#399de5\" stroke=\"#000000\" points=\"159.3067,-36 61.2304,-36 61.2304,0 159.3067,0 159.3067,-36\"/>\n",
       "<text text-anchor=\"middle\" x=\"110.2686\" y=\"-20.8\" font-family=\"Times,serif\" font-size=\"14.00\" fill=\"#000000\">samples = 50</text>\n",
       "<text text-anchor=\"middle\" x=\"110.2686\" y=\"-6.8\" font-family=\"Times,serif\" font-size=\"14.00\" fill=\"#000000\">value = [0, 50]</text>\n",
       "</g>\n",
       "<!-- 2&#45;&gt;3 -->\n",
       "<g id=\"edge3\" class=\"edge\">\n",
       "<title>2&#45;&gt;3</title>\n",
       "<path fill=\"none\" stroke=\"#000000\" d=\"M150.2758,-71.5691C143.7406,-62.8185 136.414,-53.0083 129.834,-44.1978\"/>\n",
       "<polygon fill=\"#000000\" stroke=\"#000000\" points=\"132.5924,-42.042 123.8043,-36.1242 126.9839,-46.2307 132.5924,-42.042\"/>\n",
       "</g>\n",
       "<!-- 4 -->\n",
       "<g id=\"node5\" class=\"node\">\n",
       "<title>4</title>\n",
       "<polygon fill=\"#e58139\" stroke=\"#000000\" points=\"276.3067,-36 178.2304,-36 178.2304,0 276.3067,0 276.3067,-36\"/>\n",
       "<text text-anchor=\"middle\" x=\"227.2686\" y=\"-20.8\" font-family=\"Times,serif\" font-size=\"14.00\" fill=\"#000000\">samples = 25</text>\n",
       "<text text-anchor=\"middle\" x=\"227.2686\" y=\"-6.8\" font-family=\"Times,serif\" font-size=\"14.00\" fill=\"#000000\">value = [25, 0]</text>\n",
       "</g>\n",
       "<!-- 2&#45;&gt;4 -->\n",
       "<g id=\"edge4\" class=\"edge\">\n",
       "<title>2&#45;&gt;4</title>\n",
       "<path fill=\"none\" stroke=\"#000000\" d=\"M187.9394,-71.5691C194.3638,-62.8185 201.5662,-53.0083 208.0347,-44.1978\"/>\n",
       "<polygon fill=\"#000000\" stroke=\"#000000\" points=\"210.8654,-46.2564 213.9622,-36.1242 205.2228,-42.1137 210.8654,-46.2564\"/>\n",
       "</g>\n",
       "</g>\n",
       "</svg>\n"
      ],
      "text/plain": [
       "<graphviz.files.Source at 0x10a27fc18>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import mglearn\n",
    "\n",
    "tree = mglearn.plots.plot_tree_not_monotone()\n",
    "display(tree)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "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": "3.7.0"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}