Boosting Section.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "b1be2ca3",
   "metadata": {},
   "source": [
    "# Boosting \n",
    "Boosting is an ensemble modeling technique that attempts to build a strong classifier from the number of weak classifiers. It is done by building a model by using weak models in series. "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "571bffd1",
   "metadata": {},
   "source": [
    "# Advantage \n",
    "Improved Accuracy – Boosting can improve the accuracy of the model by combining several weak models’ accuracies and averaging them for regression or voting over them for classification to increase the accuracy of the final model. \n",
    "Robustness to Overfitting – Boosting can reduce the risk of overfitting by reweighting the inputs that are classified wrongly. \n",
    "Better handling of imbalanced data – Boosting can handle the imbalance data by focusing more on the data points that are misclassified \n",
    "Better Interpretability – Boosting can increase the interpretability of the model by breaking the model decision process into multiple processes. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "4e42f7b9",
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "9ff3ee83",
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.read_csv('mushrooms.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "552517a1",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<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",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>p</td>\n",
       "      <td>x</td>\n",
       "      <td>s</td>\n",
       "      <td>n</td>\n",
       "      <td>t</td>\n",
       "      <td>p</td>\n",
       "      <td>f</td>\n",
       "      <td>c</td>\n",
       "      <td>n</td>\n",
       "      <td>k</td>\n",
       "      <td>...</td>\n",
       "      <td>s</td>\n",
       "      <td>w</td>\n",
       "      <td>w</td>\n",
       "      <td>p</td>\n",
       "      <td>w</td>\n",
       "      <td>o</td>\n",
       "      <td>p</td>\n",
       "      <td>k</td>\n",
       "      <td>s</td>\n",
       "      <td>u</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>e</td>\n",
       "      <td>x</td>\n",
       "      <td>s</td>\n",
       "      <td>y</td>\n",
       "      <td>t</td>\n",
       "      <td>a</td>\n",
       "      <td>f</td>\n",
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       "      <td>b</td>\n",
       "      <td>k</td>\n",
       "      <td>...</td>\n",
       "      <td>s</td>\n",
       "      <td>w</td>\n",
       "      <td>w</td>\n",
       "      <td>p</td>\n",
       "      <td>w</td>\n",
       "      <td>o</td>\n",
       "      <td>p</td>\n",
       "      <td>n</td>\n",
       "      <td>n</td>\n",
       "      <td>g</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>e</td>\n",
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       "      <td>s</td>\n",
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       "      <td>t</td>\n",
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       "      <td>n</td>\n",
       "      <td>...</td>\n",
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       "      <td>w</td>\n",
       "      <td>w</td>\n",
       "      <td>p</td>\n",
       "      <td>w</td>\n",
       "      <td>o</td>\n",
       "      <td>p</td>\n",
       "      <td>n</td>\n",
       "      <td>n</td>\n",
       "      <td>m</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>p</td>\n",
       "      <td>x</td>\n",
       "      <td>y</td>\n",
       "      <td>w</td>\n",
       "      <td>t</td>\n",
       "      <td>p</td>\n",
       "      <td>f</td>\n",
       "      <td>c</td>\n",
       "      <td>n</td>\n",
       "      <td>n</td>\n",
       "      <td>...</td>\n",
       "      <td>s</td>\n",
       "      <td>w</td>\n",
       "      <td>w</td>\n",
       "      <td>p</td>\n",
       "      <td>w</td>\n",
       "      <td>o</td>\n",
       "      <td>p</td>\n",
       "      <td>k</td>\n",
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       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>e</td>\n",
       "      <td>x</td>\n",
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       "      <td>n</td>\n",
       "      <td>a</td>\n",
       "      <td>g</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 23 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "  class cap-shape cap-surface cap-color bruises odor gill-attachment  \\\n",
       "0     p         x           s         n       t    p               f   \n",
       "1     e         x           s         y       t    a               f   \n",
       "2     e         b           s         w       t    l               f   \n",
       "3     p         x           y         w       t    p               f   \n",
       "4     e         x           s         g       f    n               f   \n",
       "\n",
       "  gill-spacing gill-size gill-color  ... stalk-surface-below-ring  \\\n",
       "0            c         n          k  ...                        s   \n",
       "1            c         b          k  ...                        s   \n",
       "2            c         b          n  ...                        s   \n",
       "3            c         n          n  ...                        s   \n",
       "4            w         b          k  ...                        s   \n",
       "\n",
       "  stalk-color-above-ring stalk-color-below-ring veil-type veil-color  \\\n",
       "0                      w                      w         p          w   \n",
       "1                      w                      w         p          w   \n",
       "2                      w                      w         p          w   \n",
       "3                      w                      w         p          w   \n",
       "4                      w                      w         p          w   \n",
       "\n",
       "  ring-number ring-type spore-print-color population habitat  \n",
       "0           o         p                 k          s       u  \n",
       "1           o         p                 n          n       g  \n",
       "2           o         p                 n          n       m  \n",
       "3           o         p                 k          s       u  \n",
       "4           o         e                 n          a       g  \n",
       "\n",
       "[5 rows x 23 columns]"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "827e4811",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='class', ylabel='count'>"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.countplot(data = df, x = 'class')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "9a7d012b",
   "metadata": {},
   "outputs": [],
   "source": [
    "feat_uni = df.describe().transpose().reset_index().sort_values('unique')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "0d4f33dc",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 2800x1200 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize = (14,6), dpi = 200)\n",
    "sns.barplot(data = feat_uni, x = 'index', y = 'unique')\n",
    "plt.xticks(rotation = 90);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "29e4064e",
   "metadata": {},
   "outputs": [],
   "source": [
    "X = df.drop('class', axis = 1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "89826765",
   "metadata": {},
   "outputs": [],
   "source": [
    "y = df['class']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "fefe6744",
   "metadata": {},
   "outputs": [],
   "source": [
    "X = pd.get_dummies(X, drop_first=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "a4e1e47d",
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.model_selection import train_test_split"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "4792229a",
   "metadata": {},
   "outputs": [],
   "source": [
    "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.15, random_state=101)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "bf224983",
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.ensemble import AdaBoostClassifier"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "494e1485",
   "metadata": {},
   "outputs": [],
   "source": [
    "model = AdaBoostClassifier(n_estimators=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "052eed5c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "AdaBoostClassifier(n_estimators=1)"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "model.fit(X_train, y_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "4145e59d",
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.metrics import classification_report, plot_confusion_matrix, accuracy_score"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "d1787b35",
   "metadata": {},
   "outputs": [],
   "source": [
    "preds = model.predict(X_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "14487916",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['p', 'e', 'p', ..., 'p', 'p', 'e'], dtype=object)"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "preds"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "b43869e8",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "              precision    recall  f1-score   support\n",
      "\n",
      "           e       0.96      0.81      0.88       655\n",
      "           p       0.81      0.96      0.88       564\n",
      "\n",
      "    accuracy                           0.88      1219\n",
      "   macro avg       0.88      0.88      0.88      1219\n",
      "weighted avg       0.89      0.88      0.88      1219\n",
      "\n"
     ]
    }
   ],
   "source": [
    "print(classification_report(y_test, preds))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "9556f9d3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
       "       0., 0., 0., 0., 0., 1., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
       "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
       "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
       "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
       "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0.])"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "model.feature_importances_"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "70e86692",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "22"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "model.feature_importances_.argmax()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "78f1a561",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'odor_n'"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X.columns[22]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "1822d25a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='odor', ylabel='count'>"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.countplot(data = df, x = 'odor', hue = 'class')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "b0206a75",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "95"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(X.columns)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "717764ca",
   "metadata": {},
   "outputs": [],
   "source": [
    "err_rates = []\n",
    "\n",
    "for n in range(1,96):\n",
    "    model = AdaBoostClassifier(n_estimators=n)\n",
    "    model.fit(X_train,y_train)\n",
    "    preds = model.predict(X_test)\n",
    "    err = 1- accuracy_score(y_test, preds)\n",
    "    err_rates.append(err)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "71b796af",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x20fd5c5a2e0>]"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(range(1,96), err_rates)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "ddc0c1e1",
   "metadata": {},
   "outputs": [],
   "source": [
    "feat = pd.DataFrame(index = X.columns, data = model.feature_importances_, columns = ['Important'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "00c9d33e",
   "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>Important</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>cap-shape_c</th>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>cap-shape_f</th>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>cap-shape_k</th>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>cap-shape_s</th>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>cap-shape_x</th>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>habitat_l</th>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>habitat_m</th>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>habitat_p</th>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>habitat_u</th>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>habitat_w</th>\n",
       "      <td>0.010526</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>95 rows × 1 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "             Important\n",
       "cap-shape_c   0.000000\n",
       "cap-shape_f   0.000000\n",
       "cap-shape_k   0.000000\n",
       "cap-shape_s   0.000000\n",
       "cap-shape_x   0.000000\n",
       "...                ...\n",
       "habitat_l     0.000000\n",
       "habitat_m     0.000000\n",
       "habitat_p     0.000000\n",
       "habitat_u     0.000000\n",
       "habitat_w     0.010526\n",
       "\n",
       "[95 rows x 1 columns]"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "feat"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "8e70397f",
   "metadata": {},
   "outputs": [],
   "source": [
    "imp_feats = feat[feat['Important']>0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "f1c18e11",
   "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>Important</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>cap-color_c</th>\n",
       "      <td>0.010526</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>cap-color_n</th>\n",
       "      <td>0.010526</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>cap-color_w</th>\n",
       "      <td>0.010526</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>bruises_t</th>\n",
       "      <td>0.052632</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>odor_c</th>\n",
       "      <td>0.031579</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>odor_f</th>\n",
       "      <td>0.031579</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>odor_n</th>\n",
       "      <td>0.063158</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>odor_p</th>\n",
       "      <td>0.021053</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>gill-spacing_w</th>\n",
       "      <td>0.094737</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>gill-size_n</th>\n",
       "      <td>0.094737</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>stalk-shape_t</th>\n",
       "      <td>0.010526</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>stalk-root_b</th>\n",
       "      <td>0.010526</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>stalk-surface-above-ring_k</th>\n",
       "      <td>0.063158</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>stalk-surface-below-ring_y</th>\n",
       "      <td>0.031579</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>stalk-color-below-ring_n</th>\n",
       "      <td>0.063158</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>stalk-color-below-ring_w</th>\n",
       "      <td>0.010526</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ring-number_t</th>\n",
       "      <td>0.010526</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>spore-print-color_r</th>\n",
       "      <td>0.052632</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>spore-print-color_w</th>\n",
       "      <td>0.168421</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>population_c</th>\n",
       "      <td>0.105263</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>population_v</th>\n",
       "      <td>0.042105</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>habitat_w</th>\n",
       "      <td>0.010526</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                            Important\n",
       "cap-color_c                  0.010526\n",
       "cap-color_n                  0.010526\n",
       "cap-color_w                  0.010526\n",
       "bruises_t                    0.052632\n",
       "odor_c                       0.031579\n",
       "odor_f                       0.031579\n",
       "odor_n                       0.063158\n",
       "odor_p                       0.021053\n",
       "gill-spacing_w               0.094737\n",
       "gill-size_n                  0.094737\n",
       "stalk-shape_t                0.010526\n",
       "stalk-root_b                 0.010526\n",
       "stalk-surface-above-ring_k   0.063158\n",
       "stalk-surface-below-ring_y   0.031579\n",
       "stalk-color-below-ring_n     0.063158\n",
       "stalk-color-below-ring_w     0.010526\n",
       "ring-number_t                0.010526\n",
       "spore-print-color_r          0.052632\n",
       "spore-print-color_w          0.168421\n",
       "population_c                 0.105263\n",
       "population_v                 0.042105\n",
       "habitat_w                    0.010526"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "imp_feats"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "f7880704",
   "metadata": {},
   "outputs": [
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 1600x800 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize = (8,4), dpi = 200)\n",
    "sns.barplot(data = imp_feats.sort_values(\"Important\"), x = imp_feats.index, y='Important')\n",
    "plt.xticks(rotation = 90);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "1f7d271b",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "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": "3.9.7"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}