{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "d35f985b",
   "metadata": {},
   "source": [
    "(chapter9_part2)=\n",
    "\n",
    "\n",
    "## Boosting Models\n",
    "\n",
    "- This is a supplement material for the [Machine Learning Simplified](https://themlsbook.com) book. It sheds light on Python implementations of the topics discussed while all detailed explanations can be found in the book. \n",
    "- I also assume you know Python syntax and how it works. If you don't, I highly recommend you to take a break and get introduced to the language before going forward with my code. \n",
    "- This material can be downloaded as a Jupyter notebook (Download button in the upper-right corner -> `.ipynb`) to reproduce the code and play around with it. \n",
    "\n",
    "\n",
    "This notebook is a supplement for *Chapter 9. Ensemble Models* of **Machine Learning For Everyone** book.\n",
    "\n",
    "## 1. Required Libraries, Data & Variables\n",
    "\n",
    "Let's import the data and have a look at it:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "905141a5",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "\n",
    "data = {\n",
    "    'Day': list(range(1, 31)),\n",
    "    'Temperature': [\n",
    "        'Cold', 'Hot', 'Cold', 'Hot', 'Hot',\n",
    "        'Cold', 'Hot', 'Cold', 'Hot', 'Cold',\n",
    "        'Hot', 'Cold', 'Hot', 'Cold', 'Hot',\n",
    "        'Cold', 'Hot', 'Cold', 'Hot', 'Cold',\n",
    "        'Hot', 'Cold', 'Hot', 'Cold', 'Hot',\n",
    "        'Cold', 'Hot', 'Cold', 'Hot', 'Cold'\n",
    "    ],\n",
    "    'Humidity': [\n",
    "        'Normal', 'Normal', 'Normal', 'High', 'High',\n",
    "        'Normal', 'High', 'Normal', 'High', 'Normal',\n",
    "        'High', 'Normal', 'High', 'Normal', 'High',\n",
    "        'Normal', 'High', 'Normal', 'High', 'Normal',\n",
    "        'High', 'Normal', 'High', 'Normal', 'High',\n",
    "        'Normal', 'High', 'Normal', 'High', 'Normal'\n",
    "    ],\n",
    "    'Outlook': [\n",
    "        'Rain', 'Rain', 'Sunny', 'Sunny', 'Rain',\n",
    "        'Sunny', 'Rain', 'Sunny', 'Rain', 'Sunny',\n",
    "        'Rain', 'Sunny', 'Rain', 'Sunny', 'Rain',\n",
    "        'Sunny', 'Rain', 'Sunny', 'Rain', 'Sunny',\n",
    "        'Rain', 'Sunny', 'Rain', 'Sunny', 'Rain',\n",
    "        'Sunny', 'Rain', 'Sunny', 'Rain', 'Sunny'\n",
    "    ],\n",
    "    'Wind': [\n",
    "        'Strong', 'Weak', 'Weak', 'Weak', 'Weak',\n",
    "        'Strong', 'Weak', 'Weak', 'Weak', 'Strong',\n",
    "        'Weak', 'Weak', 'Strong', 'Weak', 'Weak',\n",
    "        'Weak', 'Strong', 'Weak', 'Weak', 'Weak',\n",
    "        'Strong', 'Weak', 'Weak', 'Weak', 'Weak',\n",
    "        'Strong', 'Weak', 'Weak', 'Weak', 'Strong'\n",
    "    ],\n",
    "    'Golf Played': [\n",
    "        'No', 'No', 'Yes', 'Yes', 'Yes',\n",
    "        'No', 'Yes', 'No', 'Yes', 'Yes',\n",
    "        'No', 'Yes', 'No', 'Yes', 'Yes',\n",
    "        'No', 'Yes', 'No', 'Yes', 'Yes',\n",
    "        'No', 'Yes', 'No', 'Yes', 'Yes',\n",
    "        'No', 'Yes', 'No', 'Yes', 'Yes'\n",
    "    ]\n",
    "}\n",
    "\n",
    "# Converting the dictionary into a DataFrame\n",
    "df = pd.DataFrame(data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "ac370395",
   "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>Day</th>\n",
       "      <th>Temperature</th>\n",
       "      <th>Humidity</th>\n",
       "      <th>Outlook</th>\n",
       "      <th>Wind</th>\n",
       "      <th>Golf Played</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>Cold</td>\n",
       "      <td>Normal</td>\n",
       "      <td>Rain</td>\n",
       "      <td>Strong</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>Hot</td>\n",
       "      <td>Normal</td>\n",
       "      <td>Rain</td>\n",
       "      <td>Weak</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>Cold</td>\n",
       "      <td>Normal</td>\n",
       "      <td>Sunny</td>\n",
       "      <td>Weak</td>\n",
       "      <td>Yes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>Hot</td>\n",
       "      <td>High</td>\n",
       "      <td>Sunny</td>\n",
       "      <td>Weak</td>\n",
       "      <td>Yes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>Hot</td>\n",
       "      <td>High</td>\n",
       "      <td>Rain</td>\n",
       "      <td>Weak</td>\n",
       "      <td>Yes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>6</td>\n",
       "      <td>Cold</td>\n",
       "      <td>Normal</td>\n",
       "      <td>Sunny</td>\n",
       "      <td>Strong</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>7</td>\n",
       "      <td>Hot</td>\n",
       "      <td>High</td>\n",
       "      <td>Rain</td>\n",
       "      <td>Weak</td>\n",
       "      <td>Yes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>8</td>\n",
       "      <td>Cold</td>\n",
       "      <td>Normal</td>\n",
       "      <td>Sunny</td>\n",
       "      <td>Weak</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>9</td>\n",
       "      <td>Hot</td>\n",
       "      <td>High</td>\n",
       "      <td>Rain</td>\n",
       "      <td>Weak</td>\n",
       "      <td>Yes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>10</td>\n",
       "      <td>Cold</td>\n",
       "      <td>Normal</td>\n",
       "      <td>Sunny</td>\n",
       "      <td>Strong</td>\n",
       "      <td>Yes</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Day Temperature Humidity Outlook    Wind Golf Played\n",
       "0    1        Cold   Normal    Rain  Strong          No\n",
       "1    2         Hot   Normal    Rain    Weak          No\n",
       "2    3        Cold   Normal   Sunny    Weak         Yes\n",
       "3    4         Hot     High   Sunny    Weak         Yes\n",
       "4    5         Hot     High    Rain    Weak         Yes\n",
       "5    6        Cold   Normal   Sunny  Strong          No\n",
       "6    7         Hot     High    Rain    Weak         Yes\n",
       "7    8        Cold   Normal   Sunny    Weak          No\n",
       "8    9         Hot     High    Rain    Weak         Yes\n",
       "9   10        Cold   Normal   Sunny  Strong         Yes"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Displaying the DataFrame\n",
    "df.head(10)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "be637a85",
   "metadata": {},
   "source": [
    "## 2. Preparation of the Dataset\n",
    "\n",
    "One-hot encoding the categorical variables"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "9c166fe4",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/andrewwolf/.pyenv/versions/3.10.7/lib/python3.10/site-packages/sklearn/preprocessing/_encoders.py:808: FutureWarning: `sparse` was renamed to `sparse_output` in version 1.2 and will be removed in 1.4. `sparse_output` is ignored unless you leave `sparse` to its default value.\n",
      "  warnings.warn(\n"
     ]
    }
   ],
   "source": [
    "from sklearn.preprocessing import OneHotEncoder\n",
    "\n",
    "encoder = OneHotEncoder(sparse=False)\n",
    "encoded_features = encoder.fit_transform(df[['Temperature', 'Humidity', 'Outlook', 'Wind']])\n",
    "encoded_df = pd.DataFrame(encoded_features, columns=encoder.get_feature_names_out(['Temperature', 'Humidity', 'Outlook', 'Wind']))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "758e600c",
   "metadata": {},
   "source": [
    "Visualizing the first 10 records of the encoded dataframe:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "b30288a2",
   "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>Temperature_Cold</th>\n",
       "      <th>Temperature_Hot</th>\n",
       "      <th>Humidity_High</th>\n",
       "      <th>Humidity_Normal</th>\n",
       "      <th>Outlook_Rain</th>\n",
       "      <th>Outlook_Sunny</th>\n",
       "      <th>Wind_Strong</th>\n",
       "      <th>Wind_Weak</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Temperature_Cold  Temperature_Hot  Humidity_High  Humidity_Normal  \\\n",
       "0               1.0              0.0            0.0              1.0   \n",
       "1               0.0              1.0            0.0              1.0   \n",
       "2               1.0              0.0            0.0              1.0   \n",
       "3               0.0              1.0            1.0              0.0   \n",
       "4               0.0              1.0            1.0              0.0   \n",
       "5               1.0              0.0            0.0              1.0   \n",
       "6               0.0              1.0            1.0              0.0   \n",
       "7               1.0              0.0            0.0              1.0   \n",
       "8               0.0              1.0            1.0              0.0   \n",
       "9               1.0              0.0            0.0              1.0   \n",
       "\n",
       "   Outlook_Rain  Outlook_Sunny  Wind_Strong  Wind_Weak  \n",
       "0           1.0            0.0          1.0        0.0  \n",
       "1           1.0            0.0          0.0        1.0  \n",
       "2           0.0            1.0          0.0        1.0  \n",
       "3           0.0            1.0          0.0        1.0  \n",
       "4           1.0            0.0          0.0        1.0  \n",
       "5           0.0            1.0          1.0        0.0  \n",
       "6           1.0            0.0          0.0        1.0  \n",
       "7           0.0            1.0          0.0        1.0  \n",
       "8           1.0            0.0          0.0        1.0  \n",
       "9           0.0            1.0          1.0        0.0  "
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "encoded_df.head(10)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6513cacf",
   "metadata": {},
   "source": [
    "Adding the encoded features back to the dataframe"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "10fd02e4",
   "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>Day</th>\n",
       "      <th>Temperature</th>\n",
       "      <th>Humidity</th>\n",
       "      <th>Outlook</th>\n",
       "      <th>Wind</th>\n",
       "      <th>Golf Played</th>\n",
       "      <th>Temperature_Cold</th>\n",
       "      <th>Temperature_Hot</th>\n",
       "      <th>Humidity_High</th>\n",
       "      <th>Humidity_Normal</th>\n",
       "      <th>Outlook_Rain</th>\n",
       "      <th>Outlook_Sunny</th>\n",
       "      <th>Wind_Strong</th>\n",
       "      <th>Wind_Weak</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>Cold</td>\n",
       "      <td>Normal</td>\n",
       "      <td>Rain</td>\n",
       "      <td>Strong</td>\n",
       "      <td>No</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>Hot</td>\n",
       "      <td>Normal</td>\n",
       "      <td>Rain</td>\n",
       "      <td>Weak</td>\n",
       "      <td>No</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>Cold</td>\n",
       "      <td>Normal</td>\n",
       "      <td>Sunny</td>\n",
       "      <td>Weak</td>\n",
       "      <td>Yes</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>Hot</td>\n",
       "      <td>High</td>\n",
       "      <td>Sunny</td>\n",
       "      <td>Weak</td>\n",
       "      <td>Yes</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>Hot</td>\n",
       "      <td>High</td>\n",
       "      <td>Rain</td>\n",
       "      <td>Weak</td>\n",
       "      <td>Yes</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Day Temperature Humidity Outlook    Wind Golf Played  Temperature_Cold  \\\n",
       "0    1        Cold   Normal    Rain  Strong          No               1.0   \n",
       "1    2         Hot   Normal    Rain    Weak          No               0.0   \n",
       "2    3        Cold   Normal   Sunny    Weak         Yes               1.0   \n",
       "3    4         Hot     High   Sunny    Weak         Yes               0.0   \n",
       "4    5         Hot     High    Rain    Weak         Yes               0.0   \n",
       "\n",
       "   Temperature_Hot  Humidity_High  Humidity_Normal  Outlook_Rain  \\\n",
       "0              0.0            0.0              1.0           1.0   \n",
       "1              1.0            0.0              1.0           1.0   \n",
       "2              0.0            0.0              1.0           0.0   \n",
       "3              1.0            1.0              0.0           0.0   \n",
       "4              1.0            1.0              0.0           1.0   \n",
       "\n",
       "   Outlook_Sunny  Wind_Strong  Wind_Weak  \n",
       "0            0.0          1.0        0.0  \n",
       "1            0.0          0.0        1.0  \n",
       "2            1.0          0.0        1.0  \n",
       "3            1.0          0.0        1.0  \n",
       "4            0.0          0.0        1.0  "
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = df.join(encoded_df)\n",
    "\n",
    "df.head(5)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "68716903",
   "metadata": {},
   "source": [
    "Preparing the features by removing categorical variables."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "8eed83ae",
   "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>Temperature_Cold</th>\n",
       "      <th>Temperature_Hot</th>\n",
       "      <th>Humidity_High</th>\n",
       "      <th>Humidity_Normal</th>\n",
       "      <th>Outlook_Rain</th>\n",
       "      <th>Outlook_Sunny</th>\n",
       "      <th>Wind_Strong</th>\n",
       "      <th>Wind_Weak</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Temperature_Cold  Temperature_Hot  Humidity_High  Humidity_Normal  \\\n",
       "0               1.0              0.0            0.0              1.0   \n",
       "1               0.0              1.0            0.0              1.0   \n",
       "2               1.0              0.0            0.0              1.0   \n",
       "3               0.0              1.0            1.0              0.0   \n",
       "4               0.0              1.0            1.0              0.0   \n",
       "\n",
       "   Outlook_Rain  Outlook_Sunny  Wind_Strong  Wind_Weak  \n",
       "0           1.0            0.0          1.0        0.0  \n",
       "1           1.0            0.0          0.0        1.0  \n",
       "2           0.0            1.0          0.0        1.0  \n",
       "3           0.0            1.0          0.0        1.0  \n",
       "4           1.0            0.0          0.0        1.0  "
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X = df.drop(['Day', 'Temperature', 'Humidity', 'Outlook', 'Wind', 'Golf Played'], axis=1)\n",
    "X.head(5)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "31735ef2",
   "metadata": {},
   "source": [
    "Defining y:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "e7dc653b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0      No\n",
       "1      No\n",
       "2     Yes\n",
       "3     Yes\n",
       "4     Yes\n",
       "5      No\n",
       "6     Yes\n",
       "7      No\n",
       "8     Yes\n",
       "9     Yes\n",
       "10     No\n",
       "11    Yes\n",
       "12     No\n",
       "13    Yes\n",
       "14    Yes\n",
       "15     No\n",
       "16    Yes\n",
       "17     No\n",
       "18    Yes\n",
       "19    Yes\n",
       "20     No\n",
       "21    Yes\n",
       "22     No\n",
       "23    Yes\n",
       "24    Yes\n",
       "25     No\n",
       "26    Yes\n",
       "27     No\n",
       "28    Yes\n",
       "29    Yes\n",
       "Name: Golf Played, dtype: object"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "y = df['Golf Played']\n",
    "\n",
    "y"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d867023b",
   "metadata": {},
   "source": [
    "Splitting the dataset into training and testing sets"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "581569a7",
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.model_selection import train_test_split\n",
    "\n",
    "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "478899cb",
   "metadata": {},
   "source": [
    "## 3. Boosting Ensemble\n",
    "\n",
    "### 3.1. Building a Boosting Ensemble\n",
    "\n",
    "Creating the Gradient Boosting classifier"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "b2c8753a",
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.ensemble import GradientBoostingClassifier"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "8a076396",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<style>#sk-container-id-1 {color: black;background-color: white;}#sk-container-id-1 pre{padding: 0;}#sk-container-id-1 div.sk-toggleable {background-color: white;}#sk-container-id-1 label.sk-toggleable__label {cursor: pointer;display: block;width: 100%;margin-bottom: 0;padding: 0.3em;box-sizing: border-box;text-align: center;}#sk-container-id-1 label.sk-toggleable__label-arrow:before {content: \"▸\";float: left;margin-right: 0.25em;color: #696969;}#sk-container-id-1 label.sk-toggleable__label-arrow:hover:before {color: black;}#sk-container-id-1 div.sk-estimator:hover label.sk-toggleable__label-arrow:before {color: black;}#sk-container-id-1 div.sk-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}#sk-container-id-1 div.sk-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}#sk-container-id-1 input.sk-toggleable__control:checked~div.sk-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}#sk-container-id-1 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {content: \"▾\";}#sk-container-id-1 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 input.sk-hidden--visually {border: 0;clip: rect(1px 1px 1px 1px);clip: rect(1px, 1px, 1px, 1px);height: 1px;margin: -1px;overflow: hidden;padding: 0;position: absolute;width: 1px;}#sk-container-id-1 div.sk-estimator {font-family: monospace;background-color: #f0f8ff;border: 1px dotted black;border-radius: 0.25em;box-sizing: border-box;margin-bottom: 0.5em;}#sk-container-id-1 div.sk-estimator:hover {background-color: #d4ebff;}#sk-container-id-1 div.sk-parallel-item::after {content: \"\";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}#sk-container-id-1 div.sk-label:hover label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 div.sk-serial::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: 0;}#sk-container-id-1 div.sk-serial {display: flex;flex-direction: column;align-items: center;background-color: white;padding-right: 0.2em;padding-left: 0.2em;position: relative;}#sk-container-id-1 div.sk-item {position: relative;z-index: 1;}#sk-container-id-1 div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: white;position: relative;}#sk-container-id-1 div.sk-item::before, #sk-container-id-1 div.sk-parallel-item::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: -1;}#sk-container-id-1 div.sk-parallel-item {display: flex;flex-direction: column;z-index: 1;position: relative;background-color: white;}#sk-container-id-1 div.sk-parallel-item:first-child::after {align-self: flex-end;width: 50%;}#sk-container-id-1 div.sk-parallel-item:last-child::after {align-self: flex-start;width: 50%;}#sk-container-id-1 div.sk-parallel-item:only-child::after {width: 0;}#sk-container-id-1 div.sk-dashed-wrapped {border: 1px dashed gray;margin: 0 0.4em 0.5em 0.4em;box-sizing: border-box;padding-bottom: 0.4em;background-color: white;}#sk-container-id-1 div.sk-label label {font-family: monospace;font-weight: bold;display: inline-block;line-height: 1.2em;}#sk-container-id-1 div.sk-label-container {text-align: center;}#sk-container-id-1 div.sk-container {/* jupyter's `normalize.less` sets `[hidden] { display: none; }` but bootstrap.min.css set `[hidden] { display: none !important; }` so we also need the `!important` here to be able to override the default hidden behavior on the sphinx rendered scikit-learn.org. See: https://github.com/scikit-learn/scikit-learn/issues/21755 */display: inline-block !important;position: relative;}#sk-container-id-1 div.sk-text-repr-fallback {display: none;}</style><div id=\"sk-container-id-1\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>GradientBoostingClassifier(n_estimators=5, random_state=42)</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-1\" type=\"checkbox\" checked><label for=\"sk-estimator-id-1\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">GradientBoostingClassifier</label><div class=\"sk-toggleable__content\"><pre>GradientBoostingClassifier(n_estimators=5, random_state=42)</pre></div></div></div></div></div>"
      ],
      "text/plain": [
       "GradientBoostingClassifier(n_estimators=5, random_state=42)"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Creating the Gradient Boosting classifier\n",
    "model = GradientBoostingClassifier(n_estimators=5, \n",
    "                                   learning_rate=0.1, \n",
    "                                   max_depth=3, \n",
    "                                   random_state=42)\n",
    "model.fit(X_train, y_train)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c5dc52e1",
   "metadata": {},
   "source": [
    "### 3.2. Visualizing boosted ensemble"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "d915683c",
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.tree import DecisionTreeClassifier, plot_tree\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "1d7354f2",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 6000x1200 with 5 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Building 5 decision trees\n",
    "feature_names = encoder.get_feature_names_out(['Temperature', 'Humidity', 'Outlook', 'Wind'])\n",
    "trees = [DecisionTreeClassifier(criterion='gini', max_depth=3, random_state=42 + i) for i in range(5)]\n",
    "for tree in trees:\n",
    "    tree.fit(X_train, y_train)\n",
    "\n",
    "# Plotting all 5 trees\n",
    "fig, axes = plt.subplots(nrows=1, ncols=5, figsize=(20, 4), dpi=300)\n",
    "for i, tree in enumerate(trees):\n",
    "    plot_tree(tree, feature_names=feature_names, class_names=['No', 'Yes'], filled=True, ax=axes[i])\n",
    "    axes[i].set_title(f'Tree {i+1}')\n",
    "\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1b64a080",
   "metadata": {},
   "source": [
    "### 3.3. Feature Importance"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "1ae3aaa0",
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "48420ecc",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1200x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Feature importance\n",
    "feature_importance = model.feature_importances_\n",
    "sorted_idx = np.argsort(feature_importance)\n",
    "pos = np.arange(sorted_idx.shape[0]) + .5\n",
    "\n",
    "# Plotting Feature Importance\n",
    "plt.figure(figsize=(12, 6))\n",
    "plt.barh(pos, feature_importance[sorted_idx], align='center')\n",
    "plt.yticks(pos, np.array(X.columns)[sorted_idx])\n",
    "plt.xlabel('Importance')\n",
    "plt.title('Feature Importance')\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6b30fc9c",
   "metadata": {},
   "source": [
    "### 3.4. Predicting the Results\n",
    "\n",
    "Predicting the test set results"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "1e48a2c4",
   "metadata": {},
   "outputs": [],
   "source": [
    "y_pred = model.predict(X_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "1ca218b7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['Yes', 'Yes', 'Yes', 'Yes', 'Yes', 'Yes'], dtype=object)"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "y_pred"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "41703cea",
   "metadata": {},
   "source": [
    "### 3.5. Evaluating the model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "0e0f363b",
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.metrics import accuracy_score, classification_report"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "628f233b",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Accuracy: 0.5\n",
      "Classification Report:\n",
      "               precision    recall  f1-score   support\n",
      "\n",
      "          No       0.00      0.00      0.00         3\n",
      "         Yes       0.50      1.00      0.67         3\n",
      "\n",
      "    accuracy                           0.50         6\n",
      "   macro avg       0.25      0.50      0.33         6\n",
      "weighted avg       0.25      0.50      0.33         6\n",
      "\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/andrewwolf/.pyenv/versions/3.10.7/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1344: UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 in labels with no predicted samples. Use `zero_division` parameter to control this behavior.\n",
      "  _warn_prf(average, modifier, msg_start, len(result))\n",
      "/Users/andrewwolf/.pyenv/versions/3.10.7/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1344: UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 in labels with no predicted samples. Use `zero_division` parameter to control this behavior.\n",
      "  _warn_prf(average, modifier, msg_start, len(result))\n",
      "/Users/andrewwolf/.pyenv/versions/3.10.7/lib/python3.10/site-packages/sklearn/metrics/_classification.py:1344: UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 in labels with no predicted samples. Use `zero_division` parameter to control this behavior.\n",
      "  _warn_prf(average, modifier, msg_start, len(result))\n"
     ]
    }
   ],
   "source": [
    "accuracy = accuracy_score(y_test, y_pred)\n",
    "report = classification_report(y_test, y_pred)\n",
    "\n",
    "print(\"Accuracy:\", accuracy)\n",
    "print(\"Classification Report:\\n\", report)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "54b648af",
   "metadata": {},
   "source": [
    "## 4. Adaboost Algorithm\n",
    "\n",
    "To implement the AdaBoost algorithm using the same dataset and scikit-learn library, we'll use the `AdaBoostClassifier`. AdaBoost (Adaptive Boosting) works by combining multiple weak classifiers into a single strong classifier. Each subsequent classifier focuses more on the samples that were misclassified by the previous ones, improving the ensemble's overall accuracy.\n",
    "\n",
    "### 4.1. Building a Boosting Ensemble\n",
    "\n",
    "Creating the Random Forest Classifier"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "91d87bea",
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.ensemble import AdaBoostClassifier\n",
    "from sklearn.tree import DecisionTreeClassifier"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "bb34cc53",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/andrewwolf/.pyenv/versions/3.10.7/lib/python3.10/site-packages/sklearn/ensemble/_base.py:166: FutureWarning: `base_estimator` was renamed to `estimator` in version 1.2 and will be removed in 1.4.\n",
      "  warnings.warn(\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<style>#sk-container-id-2 {color: black;background-color: white;}#sk-container-id-2 pre{padding: 0;}#sk-container-id-2 div.sk-toggleable {background-color: white;}#sk-container-id-2 label.sk-toggleable__label {cursor: pointer;display: block;width: 100%;margin-bottom: 0;padding: 0.3em;box-sizing: border-box;text-align: center;}#sk-container-id-2 label.sk-toggleable__label-arrow:before {content: \"▸\";float: left;margin-right: 0.25em;color: #696969;}#sk-container-id-2 label.sk-toggleable__label-arrow:hover:before {color: black;}#sk-container-id-2 div.sk-estimator:hover label.sk-toggleable__label-arrow:before {color: black;}#sk-container-id-2 div.sk-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}#sk-container-id-2 div.sk-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}#sk-container-id-2 input.sk-toggleable__control:checked~div.sk-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}#sk-container-id-2 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {content: \"▾\";}#sk-container-id-2 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-2 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-2 input.sk-hidden--visually {border: 0;clip: rect(1px 1px 1px 1px);clip: rect(1px, 1px, 1px, 1px);height: 1px;margin: -1px;overflow: hidden;padding: 0;position: absolute;width: 1px;}#sk-container-id-2 div.sk-estimator {font-family: monospace;background-color: #f0f8ff;border: 1px dotted black;border-radius: 0.25em;box-sizing: border-box;margin-bottom: 0.5em;}#sk-container-id-2 div.sk-estimator:hover {background-color: #d4ebff;}#sk-container-id-2 div.sk-parallel-item::after {content: \"\";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}#sk-container-id-2 div.sk-label:hover label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-2 div.sk-serial::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: 0;}#sk-container-id-2 div.sk-serial {display: flex;flex-direction: column;align-items: center;background-color: white;padding-right: 0.2em;padding-left: 0.2em;position: relative;}#sk-container-id-2 div.sk-item {position: relative;z-index: 1;}#sk-container-id-2 div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: white;position: relative;}#sk-container-id-2 div.sk-item::before, #sk-container-id-2 div.sk-parallel-item::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: -1;}#sk-container-id-2 div.sk-parallel-item {display: flex;flex-direction: column;z-index: 1;position: relative;background-color: white;}#sk-container-id-2 div.sk-parallel-item:first-child::after {align-self: flex-end;width: 50%;}#sk-container-id-2 div.sk-parallel-item:last-child::after {align-self: flex-start;width: 50%;}#sk-container-id-2 div.sk-parallel-item:only-child::after {width: 0;}#sk-container-id-2 div.sk-dashed-wrapped {border: 1px dashed gray;margin: 0 0.4em 0.5em 0.4em;box-sizing: border-box;padding-bottom: 0.4em;background-color: white;}#sk-container-id-2 div.sk-label label {font-family: monospace;font-weight: bold;display: inline-block;line-height: 1.2em;}#sk-container-id-2 div.sk-label-container {text-align: center;}#sk-container-id-2 div.sk-container {/* jupyter's `normalize.less` sets `[hidden] { display: none; }` but bootstrap.min.css set `[hidden] { display: none !important; }` so we also need the `!important` here to be able to override the default hidden behavior on the sphinx rendered scikit-learn.org. See: https://github.com/scikit-learn/scikit-learn/issues/21755 */display: inline-block !important;position: relative;}#sk-container-id-2 div.sk-text-repr-fallback {display: none;}</style><div id=\"sk-container-id-2\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>AdaBoostClassifier(base_estimator=DecisionTreeClassifier(max_depth=1),\n",
       "                   random_state=42)</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item sk-dashed-wrapped\"><div class=\"sk-label-container\"><div class=\"sk-label sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-2\" type=\"checkbox\" ><label for=\"sk-estimator-id-2\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">AdaBoostClassifier</label><div class=\"sk-toggleable__content\"><pre>AdaBoostClassifier(base_estimator=DecisionTreeClassifier(max_depth=1),\n",
       "                   random_state=42)</pre></div></div></div><div class=\"sk-parallel\"><div class=\"sk-parallel-item\"><div class=\"sk-item\"><div class=\"sk-label-container\"><div class=\"sk-label sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-3\" type=\"checkbox\" ><label for=\"sk-estimator-id-3\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">base_estimator: DecisionTreeClassifier</label><div class=\"sk-toggleable__content\"><pre>DecisionTreeClassifier(max_depth=1)</pre></div></div></div><div class=\"sk-serial\"><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-4\" type=\"checkbox\" ><label for=\"sk-estimator-id-4\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">DecisionTreeClassifier</label><div class=\"sk-toggleable__content\"><pre>DecisionTreeClassifier(max_depth=1)</pre></div></div></div></div></div></div></div></div></div></div>"
      ],
      "text/plain": [
       "AdaBoostClassifier(base_estimator=DecisionTreeClassifier(max_depth=1),\n",
       "                   random_state=42)"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Creating and training the AdaBoost Classifier\n",
    "# Using a DecisionTreeClassifier as the base classifier\n",
    "\n",
    "base_estimator = DecisionTreeClassifier(max_depth=1)  # a stump (tree with depth 1)\n",
    "adaboost = AdaBoostClassifier(base_estimator=base_estimator, n_estimators=50, random_state=42)\n",
    "adaboost.fit(X_train, y_train)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "aa601d3c",
   "metadata": {},
   "source": [
    "### 4.2. Predicting the Results"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "5b3f3d50",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['Yes', 'Yes', 'Yes', 'Yes', 'Yes', 'No'], dtype=object)"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Making predictions on the test set\n",
    "y_pred = adaboost.predict(X_test)\n",
    "\n",
    "y_pred"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7a1ac3b9",
   "metadata": {},
   "source": [
    "### 4.3. Evaluating the model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "cbcdaf24",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Accuracy: 0.3333333333333333\n",
      "Classification Report:\n",
      "               precision    recall  f1-score   support\n",
      "\n",
      "          No       0.00      0.00      0.00         3\n",
      "         Yes       0.40      0.67      0.50         3\n",
      "\n",
      "    accuracy                           0.33         6\n",
      "   macro avg       0.20      0.33      0.25         6\n",
      "weighted avg       0.20      0.33      0.25         6\n",
      "\n"
     ]
    }
   ],
   "source": [
    "# Evaluating the model\n",
    "accuracy = accuracy_score(y_test, y_pred)\n",
    "report = classification_report(y_test, y_pred)\n",
    "\n",
    "print(\"Accuracy:\", accuracy)\n",
    "print(\"Classification Report:\\n\", report)"
   ]
  }
 ],
 "metadata": {
  "jupytext": {
   "formats": "md:myst",
   "text_representation": {
    "extension": ".md",
    "format_name": "myst"
   }
  },
  "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": "3.10.7"
  },
  "source_map": [
   11,
   30,
   82,
   85,
   92,
   98,
   103,
   105,
   110,
   114,
   119,
   122,
   127,
   131,
   136,
   140,
   149,
   154,
   161,
   166,
   172,
   187,
   192,
   198,
   212,
   219,
   224,
   226,
   231,
   236,
   242,
   253,
   259,
   266,
   271,
   276,
   281
  ]
 },
 "nbformat": 4,
 "nbformat_minor": 5
}