AI_Class/008/random_forest.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Random Forest"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 배깅(Bagging)이란?\n",
    "배깅(Bagging)은 Bootstrap Aggregating의 약자로, 보팅(Voting)과는 달리 동일한 알고리즘으로 여러 분류기를 만들어 보팅으로 최종 결정하는 알고리즘\n",
    "\n",
    "- 배깅은 다음과 같은 방식으로 진행\n",
    "\n",
    "(1) 동일한 알고리즘을 사용하는 일정 수의 분류기 생성  \n",
    "(2) 각각의 분류기는 부트스트래핑(Bootstrapping)방식으로 생성된 샘플데이터를 학습  \n",
    "(3) 최종적으로 모든 분류기가 보팅을 통해 예측 결정\n",
    "\n",
    "※ 부트스트래핑 샘플링은 전체 데이터에서 일부 데이터의 중첩을 허용하는 방식\n",
    "\n",
    "![008-1](https://user-images.githubusercontent.com/63298243/118589541-86aae680-b7db-11eb-800b-ae99c18140fa.png)\n",
    "\n",
    "![008-2](https://user-images.githubusercontent.com/63298243/118589545-8874aa00-b7db-11eb-9bb1-04f37f7f8f56.png)\n",
    "\n",
    "#### 랜덤 포레스트는 여러 개의 결정트리(Decision Tree)를 활용한 배깅 방식의 대표적인 알고리즘\n",
    "\n",
    "+ 장점\n",
    "    - 결정 트리의 쉽고 직관적인 장점을 그대로 가지고 있음\n",
    "    - 앙상블 알고리즘 중 비교적 빠른 수행 속도를 가지고 있음\n",
    "    - 다양한 분야에서 좋은 성능을 나타냄\n",
    "    \n",
    "+ 단점\n",
    "    - 하이퍼 파라미터가 많아 튜닝을 위힌 시간이 많이 소요됨"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 오늘 해결할 문제\n",
    "\n",
    "- 와인 품질 예측\n",
    "\n",
    "와인 품질 예측을 random forest 모델을 이용하여 해결해봅시다 :)\n",
    "\n",
    "- fixed acidity : 고정 산도\n",
    "\n",
    "- volatile acidity : 휘발성 산도\n",
    "\n",
    "- citric acid : 시트르산\n",
    "\n",
    "- residual sugar : 잔류 설탕\n",
    "\n",
    "- chlorides : 염화물\n",
    "\n",
    "- free sulfur dioxide : 자유 이산화황\n",
    "\n",
    "- total sulfur dioxide : 총 이산화황\n",
    "\n",
    "- density : 밀도\n",
    "\n",
    "- pH : pH\n",
    "\n",
    "- sulphates : 황산염\n",
    "\n",
    "- alcohol : 알코올\n",
    "\n",
    "- quality : 품질   # 종속변수"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Import library & data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.ensemble import RandomForestClassifier\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "\n",
    "from sklearn import preprocessing\n",
    "from sklearn.model_selection import train_test_split"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.read_csv('https://archive.ics.uci.edu/ml/machine-learning-databases/wine-quality/winequality-red.csv', sep=';')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## EDA\n",
    "\n",
    "이번 전처리는 자유입니다.\n",
    "\n",
    "상관관계 분석도 해보고\n",
    "\n",
    "이제껏 배운것 활용해보시길~!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
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       "\n",
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       "    .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>fixed acidity</th>\n",
       "      <th>volatile acidity</th>\n",
       "      <th>citric acid</th>\n",
       "      <th>residual sugar</th>\n",
       "      <th>chlorides</th>\n",
       "      <th>free sulfur dioxide</th>\n",
       "      <th>total sulfur dioxide</th>\n",
       "      <th>density</th>\n",
       "      <th>pH</th>\n",
       "      <th>sulphates</th>\n",
       "      <th>alcohol</th>\n",
       "      <th>quality</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>7.4</td>\n",
       "      <td>0.70</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.9</td>\n",
       "      <td>0.076</td>\n",
       "      <td>11.0</td>\n",
       "      <td>34.0</td>\n",
       "      <td>0.9978</td>\n",
       "      <td>3.51</td>\n",
       "      <td>0.56</td>\n",
       "      <td>9.4</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>7.8</td>\n",
       "      <td>0.88</td>\n",
       "      <td>0.00</td>\n",
       "      <td>2.6</td>\n",
       "      <td>0.098</td>\n",
       "      <td>25.0</td>\n",
       "      <td>67.0</td>\n",
       "      <td>0.9968</td>\n",
       "      <td>3.20</td>\n",
       "      <td>0.68</td>\n",
       "      <td>9.8</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>7.8</td>\n",
       "      <td>0.76</td>\n",
       "      <td>0.04</td>\n",
       "      <td>2.3</td>\n",
       "      <td>0.092</td>\n",
       "      <td>15.0</td>\n",
       "      <td>54.0</td>\n",
       "      <td>0.9970</td>\n",
       "      <td>3.26</td>\n",
       "      <td>0.65</td>\n",
       "      <td>9.8</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>11.2</td>\n",
       "      <td>0.28</td>\n",
       "      <td>0.56</td>\n",
       "      <td>1.9</td>\n",
       "      <td>0.075</td>\n",
       "      <td>17.0</td>\n",
       "      <td>60.0</td>\n",
       "      <td>0.9980</td>\n",
       "      <td>3.16</td>\n",
       "      <td>0.58</td>\n",
       "      <td>9.8</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>7.4</td>\n",
       "      <td>0.70</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.9</td>\n",
       "      <td>0.076</td>\n",
       "      <td>11.0</td>\n",
       "      <td>34.0</td>\n",
       "      <td>0.9978</td>\n",
       "      <td>3.51</td>\n",
       "      <td>0.56</td>\n",
       "      <td>9.4</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   fixed acidity  volatile acidity  citric acid  residual sugar  chlorides  \\\n",
       "0            7.4              0.70         0.00             1.9      0.076   \n",
       "1            7.8              0.88         0.00             2.6      0.098   \n",
       "2            7.8              0.76         0.04             2.3      0.092   \n",
       "3           11.2              0.28         0.56             1.9      0.075   \n",
       "4            7.4              0.70         0.00             1.9      0.076   \n",
       "\n",
       "   free sulfur dioxide  total sulfur dioxide  density    pH  sulphates  \\\n",
       "0                 11.0                  34.0   0.9978  3.51       0.56   \n",
       "1                 25.0                  67.0   0.9968  3.20       0.68   \n",
       "2                 15.0                  54.0   0.9970  3.26       0.65   \n",
       "3                 17.0                  60.0   0.9980  3.16       0.58   \n",
       "4                 11.0                  34.0   0.9978  3.51       0.56   \n",
       "\n",
       "   alcohol  quality  \n",
       "0      9.4        5  \n",
       "1      9.8        5  \n",
       "2      9.8        5  \n",
       "3      9.8        6  \n",
       "4      9.4        5  "
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([5, 6, 7, 4, 8, 3], dtype=int64)"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['quality'].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 1599 entries, 0 to 1598\n",
      "Data columns (total 12 columns):\n",
      " #   Column                Non-Null Count  Dtype  \n",
      "---  ------                --------------  -----  \n",
      " 0   fixed acidity         1599 non-null   float64\n",
      " 1   volatile acidity      1599 non-null   float64\n",
      " 2   citric acid           1599 non-null   float64\n",
      " 3   residual sugar        1599 non-null   float64\n",
      " 4   chlorides             1599 non-null   float64\n",
      " 5   free sulfur dioxide   1599 non-null   float64\n",
      " 6   total sulfur dioxide  1599 non-null   float64\n",
      " 7   density               1599 non-null   float64\n",
      " 8   pH                    1599 non-null   float64\n",
      " 9   sulphates             1599 non-null   float64\n",
      " 10  alcohol               1599 non-null   float64\n",
      " 11  quality               1599 non-null   int64  \n",
      "dtypes: float64(11), int64(1)\n",
      "memory usage: 150.0 KB\n"
     ]
    }
   ],
   "source": [
    "df.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "fixed acidity           0\n",
       "volatile acidity        0\n",
       "citric acid             0\n",
       "residual sugar          0\n",
       "chlorides               0\n",
       "free sulfur dioxide     0\n",
       "total sulfur dioxide    0\n",
       "density                 0\n",
       "pH                      0\n",
       "sulphates               0\n",
       "alcohol                 0\n",
       "quality                 0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.isna().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x1080 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "\n",
    "plt.figure(figsize=(15,15))\n",
    "sns.heatmap(data = df.corr(), annot=True, fmt = '.2f', linewidths = .5, cmap='Blues')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Modeling\n",
    "\n",
    "Random Forest 모델의 파라미터\n",
    "    - random_state = 1\n",
    "    - max_depth = 1\n",
    "\n",
    "사용예시\n",
    "\n",
    "RandomForestClassifier(random_state=1, max_depth = 1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "y=df['quality']                      #종속 변수 Y\n",
    "X=df.drop(['quality','volatile acidity','total sulfur dioxide'], axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "X = preprocessing.StandardScaler().fit(X).transform(X)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [],
   "source": [
    "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.3, random_state=10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [],
   "source": [
    "rf_model = RandomForestClassifier(random_state=10, max_depth = 25)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "RandomForestClassifier(max_depth=25, random_state=10)"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rf_model.fit(X_train, y_train) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "67.5 %\n"
     ]
    }
   ],
   "source": [
    "r_square = rf_model.score(X_test, y_test)\n",
    "print(r_square*100,\"%\",sep=\" \")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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