14.4.7.분류, 추천 성능 평가지표.ipynb

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     "text": [
      "Requirement already satisfied: scikit-plot in c:\\users\\angry\\anaconda3\\lib\\site-packages (0.3.7)\n",
      "Requirement already satisfied: scikit-learn>=0.18 in c:\\users\\angry\\anaconda3\\lib\\site-packages (from scikit-plot) (1.1.1)\n",
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      "Requirement already satisfied: numpy>=1.17 in c:\\users\\angry\\anaconda3\\lib\\site-packages (from matplotlib>=1.4.0->scikit-plot) (1.21.5)\n",
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      "Requirement already satisfied: six>=1.5 in c:\\users\\angry\\anaconda3\\lib\\site-packages (from python-dateutil>=2.7->matplotlib>=1.4.0->scikit-plot) (1.16.0)\n",
      "Requirement already satisfied: threadpoolctl>=2.0.0 in c:\\users\\angry\\anaconda3\\lib\\site-packages (from scikit-learn>=0.18->scikit-plot) (2.2.0)\n"
     ]
    }
   ],
   "source": [
    "# 필요한 패키지 설치\n",
    "\n",
    "!pip install scikit-plot\n",
    "import pandas as pd \n",
    "import numpy as np\n",
    "from sklearn.preprocessing import RobustScaler\n",
    "from sklearn.linear_model import LogisticRegression\n",
    "from sklearn.model_selection import train_test_split\n",
    "from imblearn.under_sampling import *\n",
    "import matplotlib.pyplot as plt\n",
    "from sklearn.metrics import confusion_matrix, plot_confusion_matrix\n",
    "from sklearn.metrics import precision_score, recall_score, f1_score\n",
    "import scikitplot as skplt\n",
    "from sklearn.metrics import roc_curve\n",
    "from sklearn.metrics import auc\n",
    "from sklearn import metrics"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "52955d68",
   "metadata": {},
   "outputs": [
    {
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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>HeartDisease</th>\n",
       "      <th>BMI</th>\n",
       "      <th>Smoking</th>\n",
       "      <th>AlcoholDrinking</th>\n",
       "      <th>Stroke</th>\n",
       "      <th>PhysicalHealth</th>\n",
       "      <th>MentalHealth</th>\n",
       "      <th>DiffWalking</th>\n",
       "      <th>Sex</th>\n",
       "      <th>AgeCategory</th>\n",
       "      <th>Race</th>\n",
       "      <th>Diabetic</th>\n",
       "      <th>PhysicalActivity</th>\n",
       "      <th>GenHealth</th>\n",
       "      <th>SleepTime</th>\n",
       "      <th>Asthma</th>\n",
       "      <th>KidneyDisease</th>\n",
       "      <th>SkinCancer</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>No</td>\n",
       "      <td>16.60</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>3.0</td>\n",
       "      <td>30.0</td>\n",
       "      <td>No</td>\n",
       "      <td>Female</td>\n",
       "      <td>55-59</td>\n",
       "      <td>White</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Very good</td>\n",
       "      <td>5.0</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>Yes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>No</td>\n",
       "      <td>20.34</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>Yes</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>No</td>\n",
       "      <td>Female</td>\n",
       "      <td>80 or older</td>\n",
       "      <td>White</td>\n",
       "      <td>No</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Very good</td>\n",
       "      <td>7.0</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>No</td>\n",
       "      <td>26.58</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>20.0</td>\n",
       "      <td>30.0</td>\n",
       "      <td>No</td>\n",
       "      <td>Male</td>\n",
       "      <td>65-69</td>\n",
       "      <td>White</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Fair</td>\n",
       "      <td>8.0</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>No</td>\n",
       "      <td>24.21</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>No</td>\n",
       "      <td>Female</td>\n",
       "      <td>75-79</td>\n",
       "      <td>White</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>Good</td>\n",
       "      <td>6.0</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>Yes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>No</td>\n",
       "      <td>23.71</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>28.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Female</td>\n",
       "      <td>40-44</td>\n",
       "      <td>White</td>\n",
       "      <td>No</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Very good</td>\n",
       "      <td>8.0</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
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       "  HeartDisease    BMI Smoking AlcoholDrinking Stroke  PhysicalHealth  \\\n",
       "0           No  16.60     Yes              No     No             3.0   \n",
       "1           No  20.34      No              No    Yes             0.0   \n",
       "2           No  26.58     Yes              No     No            20.0   \n",
       "3           No  24.21      No              No     No             0.0   \n",
       "4           No  23.71      No              No     No            28.0   \n",
       "\n",
       "   MentalHealth DiffWalking     Sex  AgeCategory   Race Diabetic  \\\n",
       "0          30.0          No  Female        55-59  White      Yes   \n",
       "1           0.0          No  Female  80 or older  White       No   \n",
       "2          30.0          No    Male        65-69  White      Yes   \n",
       "3           0.0          No  Female        75-79  White       No   \n",
       "4           0.0         Yes  Female        40-44  White       No   \n",
       "\n",
       "  PhysicalActivity  GenHealth  SleepTime Asthma KidneyDisease SkinCancer  \n",
       "0              Yes  Very good        5.0    Yes            No        Yes  \n",
       "1              Yes  Very good        7.0     No            No         No  \n",
       "2              Yes       Fair        8.0    Yes            No         No  \n",
       "3               No       Good        6.0     No            No        Yes  \n",
       "4              Yes  Very good        8.0     No            No         No  "
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 데이터 불러오기\n",
    "# https://www.kaggle.com/datasets/kamilpytlak/personal-key-indicators-of-heart-disease\n",
    "df = pd.read_csv(\"datasets/heart_2020_cleaned.csv\")\n",
    "\n",
    "# 데이터 샘플 확인\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "7314e85a",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "train data 개수:  223856\n",
      "test data 개수:  95939\n"
     ]
    }
   ],
   "source": [
    "# 데이터 전처리\n",
    "\n",
    "# 명목형 변수 가변수 처리 (하나의 가변수 범주 제거 옵션 적용)\n",
    "df2 = pd.get_dummies(df, columns = ['HeartDisease','Smoking',\n",
    "                                    'AlcoholDrinking','Stroke',\n",
    "                                    'DiffWalking','Sex',\n",
    "                                    'AgeCategory','Race',\n",
    "                                    'Diabetic','PhysicalActivity',\n",
    "                                    'GenHealth','Asthma',\n",
    "                                    'KidneyDisease','SkinCancer']\n",
    "                     ,drop_first=True\n",
    "                    )\n",
    "\n",
    "# 숫자형 변수 분리\n",
    "df_num = df[['BMI','PhysicalHealth','MentalHealth','SleepTime']]\n",
    "df_nom = df2.drop(['BMI','PhysicalHealth','MentalHealth','SleepTime'],axis=1)\n",
    "\n",
    "# 숫자형 변수 RobustScaler 적용\n",
    "RobustScaler = RobustScaler()\n",
    "df_robust = RobustScaler.fit_transform(df_num)\n",
    "\n",
    "# 컬럼명 결합\n",
    "df_num2 = pd.DataFrame(data=df_robust, columns=df_num.columns)\n",
    "\n",
    "# 숫자형 테이블과 더미화 문자형 테이블 결합\n",
    "df3 = pd.concat([df_num2,df_nom],axis=1)\n",
    "\n",
    "# 독립변수와 종속변수 분리하여 생성\n",
    "X = df3.drop(['HeartDisease_Yes'],axis=1)\n",
    "y = df3[['HeartDisease_Yes']]\n",
    "\n",
    "# 학습셋과 테스트셋 분리하여 생성(7:3)\n",
    "X_train, X_test, y_train, y_test = train_test_split(\n",
    "    X,y,test_size=0.3,random_state=10)\n",
    "\n",
    "# 학습셋과 검증셋이 잘 나뉘었는지 확인\n",
    "print('train data 개수: ', len(X_train))\n",
    "print('test data 개수: ', len(X_test))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "f0834f4d",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\angry\\anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:1111: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  y = column_or_1d(y, warn=True)\n",
      "C:\\Users\\angry\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py:444: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
      "\n",
      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
      "Please also refer to the documentation for alternative solver options:\n",
      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
      "  n_iter_i = _check_optimize_result(\n"
     ]
    }
   ],
   "source": [
    "# 언더샘플링과 모델 학습 및 예측\n",
    "\n",
    "# 임시 변수명 적용\n",
    "X_train_re = X_train.copy()\n",
    "y_train_re = y_train.copy()\n",
    "\n",
    "X_temp_name = ['X1','X2','X3','X4','X5','X6','X7','X8','X9','X10',\n",
    "            'X11','X12','X13','X14','X15','X16','X17','X18','X19','X20',\n",
    "            'X21','X22','X23','X24','X25','X26','X27','X28','X29','X30',\n",
    "            'X31','X32','X33','X34','X35','X36','X37']\n",
    "y_temp_name = ['y1']\n",
    "\n",
    "X_train_re.columns = X_temp_name\n",
    "y_train_re.columns = y_temp_name\n",
    "\n",
    "# 언더샘플링 적용\n",
    "X_train_under, y_train_under = RandomUnderSampler(\n",
    "    random_state=0).fit_resample(X_train_re,y_train_re)\n",
    "\n",
    "# 컬럼명 복구\n",
    "X_train_under.columns = list(X_train)\n",
    "y_train_under.columns = list(y_train)\n",
    "\n",
    "# 학습셋 모델 학습\n",
    "model = LogisticRegression()\n",
    "model.fit(X_train_under, y_train_under)\n",
    "\n",
    "# 테스트셋에 모델 적용\n",
    "y_predict = model.predict(X_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "93475614",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[65373 22354]\n",
      " [ 1764  6448]]\n"
     ]
    }
   ],
   "source": [
    "# 기본 혼동행렬 출력\n",
    "\n",
    "cm = confusion_matrix(y_test, y_predict)\n",
    "print(cm)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "955763c6",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<style scoped>\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
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       "    }\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>Predicted Class-0</th>\n",
       "      <th>Predicted Class-1</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>True Class-0</th>\n",
       "      <td>65373</td>\n",
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       "    <tr>\n",
       "      <th>True Class-1</th>\n",
       "      <td>1764</td>\n",
       "      <td>6448</td>\n",
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       "  </tbody>\n",
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      "text/plain": [
       "              Predicted Class-0  Predicted Class-1\n",
       "True Class-0              65373              22354\n",
       "True Class-1               1764               6448"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 혼동행렬 데이터 프레임 변환 \n",
    "cm_df = pd.DataFrame(data=cm, \n",
    "                  index=[f\"True Class-{i}\" for i in range(cm.shape[0])],\n",
    "                  columns=[f\"Predicted Class-{i}\" for i in range(cm.shape[0])])\n",
    "cm_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "809e8c40",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\angry\\anaconda3\\lib\\site-packages\\sklearn\\utils\\deprecation.py:87: FutureWarning: Function plot_confusion_matrix is deprecated; Function `plot_confusion_matrix` is deprecated in 1.0 and will be removed in 1.2. Use one of the class methods: ConfusionMatrixDisplay.from_predictions or ConfusionMatrixDisplay.from_estimator.\n",
      "  warnings.warn(msg, category=FutureWarning)\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Confusion Matrix')"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    },
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\n",
      "text/plain": [
       "<Figure size 1800x1200 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 혼동 행렬 시각화\n",
    "\n",
    "label=['HeartDisease_No', 'HeartDisease_Yes'] # 라벨 설정\n",
    "plot = plot_confusion_matrix(model, # 분류 모델\n",
    "                             X_test, y_test, \n",
    "                             display_labels=label, \n",
    "                             cmap=plt.cm.Reds, \n",
    "                             normalize=None) \n",
    "plot.ax_.set_title('Confusion Matrix')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "8ac18ec7",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "정확도:0.749\n",
      "오분류율:0.251\n",
      "정밀도:0.224\n",
      "민감도:0.785\n",
      "특이도:0.745\n",
      "f1-스코어:0.348\n"
     ]
    }
   ],
   "source": [
    "# 정확도, 오분류율, 정밀도, 민감도, 특이도, f-1스코어 산출\n",
    "\n",
    "# 정확도\n",
    "accuracy = model.score(X_test, y_test)\n",
    "print('정확도:{:.3f}'.format(accuracy))\n",
    "\n",
    "# 오분류율\n",
    "error_rate = 1-model.score(X_test, y_test)\n",
    "print('오분류율:{:.3f}'.format(error_rate))\n",
    "\n",
    "# 정밀도\n",
    "precision = precision_score(y_test, y_predict)\n",
    "print('정밀도:{:.3f}'.format(precision))\n",
    "\n",
    "# 민감도(재현율)\n",
    "recall = recall_score(y_test, y_predict)\n",
    "print('민감도:{:.3f}'.format(recall))\n",
    "\n",
    "# 특이도\n",
    "TN = cm_df['Predicted Class-0'].loc['True Class-0']\n",
    "FP = cm_df['Predicted Class-1'].loc['True Class-0']\n",
    "print('특이도:{:.3f}'.format(TN/(TN+FP)))\n",
    "\n",
    "# f1-스코어\n",
    "f1 = f1_score(y_test, y_predict)\n",
    "print('f1-스코어:{:.3f}'.format(f1))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "e9ade5cf",
   "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>decile</th>\n",
       "      <th>Frequency of Y=1</th>\n",
       "      <th>Decile count</th>\n",
       "      <th>Sensitivity</th>\n",
       "      <th>Precision</th>\n",
       "      <th>Lift</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>1</td>\n",
       "      <td>3473.0</td>\n",
       "      <td>9594</td>\n",
       "      <td>0.422918</td>\n",
       "      <td>0.361997</td>\n",
       "      <td>4.229133</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>2</td>\n",
       "      <td>1825.0</td>\n",
       "      <td>9594</td>\n",
       "      <td>0.222236</td>\n",
       "      <td>0.190223</td>\n",
       "      <td>2.222334</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>3</td>\n",
       "      <td>1150.0</td>\n",
       "      <td>9594</td>\n",
       "      <td>0.140039</td>\n",
       "      <td>0.119867</td>\n",
       "      <td>1.400375</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>4</td>\n",
       "      <td>716.0</td>\n",
       "      <td>9594</td>\n",
       "      <td>0.087189</td>\n",
       "      <td>0.074630</td>\n",
       "      <td>0.871886</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>5</td>\n",
       "      <td>464.0</td>\n",
       "      <td>9593</td>\n",
       "      <td>0.056503</td>\n",
       "      <td>0.048369</td>\n",
       "      <td>0.565080</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>6</td>\n",
       "      <td>233.0</td>\n",
       "      <td>9594</td>\n",
       "      <td>0.028373</td>\n",
       "      <td>0.024286</td>\n",
       "      <td>0.283728</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>7</td>\n",
       "      <td>153.0</td>\n",
       "      <td>9594</td>\n",
       "      <td>0.018631</td>\n",
       "      <td>0.015947</td>\n",
       "      <td>0.186311</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>8</td>\n",
       "      <td>95.0</td>\n",
       "      <td>9594</td>\n",
       "      <td>0.011568</td>\n",
       "      <td>0.009902</td>\n",
       "      <td>0.115683</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>9</td>\n",
       "      <td>55.0</td>\n",
       "      <td>9594</td>\n",
       "      <td>0.006698</td>\n",
       "      <td>0.005733</td>\n",
       "      <td>0.066974</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>10</td>\n",
       "      <td>48.0</td>\n",
       "      <td>9594</td>\n",
       "      <td>0.005845</td>\n",
       "      <td>0.005003</td>\n",
       "      <td>0.058450</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  decile  Frequency of Y=1  Decile count  Sensitivity  Precision      Lift\n",
       "9      1            3473.0          9594     0.422918   0.361997  4.229133\n",
       "8      2            1825.0          9594     0.222236   0.190223  2.222334\n",
       "7      3            1150.0          9594     0.140039   0.119867  1.400375\n",
       "6      4             716.0          9594     0.087189   0.074630  0.871886\n",
       "5      5             464.0          9593     0.056503   0.048369  0.565080\n",
       "4      6             233.0          9594     0.028373   0.024286  0.283728\n",
       "3      7             153.0          9594     0.018631   0.015947  0.186311\n",
       "2      8              95.0          9594     0.011568   0.009902  0.115683\n",
       "1      9              55.0          9594     0.006698   0.005733  0.066974\n",
       "0     10              48.0          9594     0.005845   0.005003  0.058450"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 향상도 테이블 생성\n",
    "\n",
    "# 예측 스코어 산출 및 결합\n",
    "probability = model.predict_proba(X_test)\n",
    "y_probability_df = pd.DataFrame(probability,\n",
    "                                columns=['probability_0','probability_1'])\n",
    "y_df = pd.concat([y_test.reset_index()['HeartDisease_Yes'],\n",
    "                  y_probability_df['probability_1']], axis=1)\n",
    "\n",
    "# 10분위 컬럼 생성\n",
    "y_df['decile'] = pd.qcut(y_df['probability_1'],10,\n",
    "                         labels=['10','9','8','7','6','5','4','3','2','1'])\n",
    "\n",
    "# 향상도 테이블을 위한 변수 설정\n",
    "y_all = y_df['HeartDisease_Yes'].sum() # 전체 1값 수\n",
    "base_lift = y_df['HeartDisease_Yes'\n",
    "                ].sum()/y_df['HeartDisease_Yes'].count() # 기본 향상도\n",
    "\n",
    "# 분위수 별 집계\n",
    "y_df_gb = y_df.groupby(['decile']).agg(\n",
    "    {'HeartDisease_Yes':'sum','probability_1':'count'}).reset_index()\n",
    "y_df_gb = y_df_gb.sort_values(by='decile' ,ascending=False)\n",
    "\n",
    "# 향상도 테이블 요소 생성 및 후처리\n",
    "y_df_gb['Sensitivity'] = y_df_gb['HeartDisease_Yes']/y_all\n",
    "y_df_gb['Precision'] = y_df_gb['HeartDisease_Yes']/y_df_gb['probability_1']\n",
    "y_df_gb['Lift'] = y_df_gb['Precision']/base_lift\n",
    "y_df_gb = y_df_gb.rename(\n",
    "    columns={'HeartDisease_Yes':'Frequency of Y=1','probability_1':'Decile count'})\n",
    "\n",
    "y_df_gb"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "7ad4b3ae",
   "metadata": {},
   "outputs": [
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 1800x1200 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 향상도 차트 생성\n",
    "\n",
    "bar_x = np.arange(10)\n",
    "\n",
    "plt.bar(bar_x, y_df_gb['Sensitivity']*100, color='C2')\n",
    "plt.xticks(bar_x, y_df_gb['decile'])\n",
    "plt.title(\"Lift chart\")\n",
    "plt.xlabel(\"Deciles\")\n",
    "plt.ylabel(\"Respose Rate(%)\")\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "id": "eb836db7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1800x1200 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 누적 향상도 곡선 생성\n",
    "\n",
    "skplt.metrics.plot_cumulative_gain(y_test, probability)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "a473e394",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1800x1200 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "AUC 스코어:0.842\n"
     ]
    }
   ],
   "source": [
    "# ROC 커브 생성 및 AUC 스코어 산출\n",
    "\n",
    "# 시각화 함수 설정\n",
    "def plot_roc_curve(fper, tper):\n",
    "    plt.plot(fper, tper, color='C3', label='ROC curve')\n",
    "    plt.plot([0, 1], [0, 1], color='C9', linestyle='-.')\n",
    "    plt.xlabel('False Positive Rate')\n",
    "    plt.ylabel('True Positive Rate')\n",
    "    plt.title('ROC curves for Logistic Regression')\n",
    "    plt.legend()\n",
    "    plt.show()\n",
    "\n",
    "# 예측 스코어 전처리 및 ROC 커브 생성\n",
    "probability_cut = probability[:, 1]\n",
    "fper, tper, thresholds = roc_curve(y_test, probability_cut)\n",
    "plot_roc_curve(fper, tper)\n",
    "\n",
    "# AUC 스코어 산출\n",
    "auc_score = auc(fper, tper)\n",
    "print('AUC 스코어:{:.3f}'.format(auc_score))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "59cff14a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1800x1200 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 수익 곡선\n",
    "\n",
    "# 수익, 비용 변수 정의\n",
    "profit = 2000000\n",
    "cost   = -300000\n",
    "\n",
    "# 수익, 비용 Matrix 생성\n",
    "profit_cost_matrix = np.array([[profit+cost, cost],[0,0]])\n",
    "\n",
    "# 수익곡선 시각화를 위한 혼동행렬 재배열\n",
    "def cm_for(y_true, y_pred):\n",
    "    [[tn, fp], [fn, tp]] = metrics.confusion_matrix(y_true, y_pred)\n",
    "    return np.array([[tp, fp], [fn, tn]])\n",
    "\n",
    "# 예측 스코어 수준 별 예상 수익 값 산출\n",
    "profits = []\n",
    "for T in sorted(y_probability_df['probability_1'], reverse=True):\n",
    "    y_pred_pf = (y_probability_df['probability_1'] > np.array(T)).astype(int)\n",
    "    confusion_mat = cm_for(y_test, y_pred_pf)\n",
    "    # 임계값에 대한 총 수익 계산\n",
    "    profit = sum(sum(confusion_mat * profit_cost_matrix)) / len(y_test)\n",
    "    profits.append(profit)\n",
    "    \n",
    "# 수익곡선 시각화\n",
    "profit_max = max(profits)\n",
    "plt.figure();\n",
    "plt.plot(np.linspace(0, 1, len(y_test)), profits, \n",
    "         label = 'max profit per person: ₩{:.0f}'.format(profit_max))\n",
    "plt.hlines(0,0,1,color=\"red\")\n",
    "plt.xlabel('Percentage of observations')\n",
    "plt.ylabel('Profit')\n",
    "plt.title('Profit Curve')\n",
    "plt.legend(loc='lower left')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "fc518675",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "precision @ k:0.667\n",
      "recall @ k:0.400\n",
      "MAP:0.835\n"
     ]
    }
   ],
   "source": [
    "# precision @ k, recall @ k, MAP 산출 (단일 고객 데이터)\n",
    "\n",
    "# 기존 추천 결과 데이터\n",
    "actual = ['A','C','D','E','H','M','P','R','S','V'] # 실제 구매 품목\n",
    "predicted = ['A','D','F','H','M','N','O','P','X','Z'] # 예측 구매 품목\n",
    "\n",
    "####################### K 수 지정 #######################\n",
    "k = 3 # 평가지표 산출에 사용할 item 수\n",
    "#########################################################\n",
    "\n",
    "r =[]\n",
    "rs = [r]\n",
    "\n",
    "# 예측과 실제 구매 매칭 리스트 생성\n",
    "for p in predicted:\n",
    "    if p in actual:\n",
    "        r.append(1)\n",
    "    else:\n",
    "        r.append(0)\n",
    "\n",
    "# precision @ k 산출 함수 설정\n",
    "def precision_at_k(r, k):\n",
    "    assert k >= 1 # 설정된 k가 1 이상인지 확인\n",
    "    # 평가지표 산출에 사용할 결과지 item k개가 0이 아니면 True, 0이면 False\n",
    "    r = np.asarray(r)[:k] != 0 # 결과지 item 수가 설정한 k개보다 적으면 error\n",
    "    if r.size != k:\n",
    "        raise ValueError('k setting error')\n",
    "    return np.mean(r)\n",
    "\n",
    "# recall @ k 산출 함수 설정\n",
    "def recall_at_k(r, k):\n",
    "    assert k >= 1\n",
    "    all_r = np.sum(r)\n",
    "    r = np.asarray(r)[:k] != 0\n",
    "    if r.size != k:\n",
    "        raise ValueError('k setting error')\n",
    "    return np.sum(r)/all_r\n",
    "\n",
    "# average precision 산출 함수 설정\n",
    "def average_precision(r):\n",
    "    r = np.asarray(r) != 0\n",
    "    out = [precision_at_k(r, k + 1) for k in range(r.size) if r[k]]\n",
    "    if not out:\n",
    "        return 0.\n",
    "    return np.mean(out)\n",
    "\n",
    "# MAP 산출 함수 설정\n",
    "def mean_average_precision(rs):\n",
    "    return np.mean([average_precision(r) for r in rs])\n",
    "\n",
    "# print(precision_at_k(r, k))\n",
    "# print(recall_at_k(r, k))\n",
    "# print(mean_average_precision(rs))\n",
    "                         \n",
    "print('precision @ k:{:.3f}'.format(precision_at_k(r, k)))\n",
    "print('recall @ k:{:.3f}'.format(recall_at_k(r, k)))\n",
    "print('MAP:{:.3f}'.format(mean_average_precision(rs)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "1b5d1b08",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "precision @ k:0.778\n",
      "recall @ k:0.494\n",
      "MAP:0.832\n"
     ]
    }
   ],
   "source": [
    "# precision @ k, recall @ k, MAP 산출 (여러 고객 데이터)\n",
    "\n",
    "\n",
    "####################### K 수 지정 ####################### \n",
    "k = 3 # 평가지표 산출에 사용할 item 수\n",
    "#########################################################\n",
    "\n",
    "# 실제 구매 품목\n",
    "actual = [['A','C','D','E','H','M','P','R','S','V'],\n",
    "          ['A','B','C','F','H','M','O','R','T','V'],\n",
    "          ['C','D','E','F','H','M','O','R','T','V']]\n",
    "\n",
    "# 예측 구매 품목\n",
    "predicted = [['A','D','F','H','M','N','O','P','X','Z'],\n",
    "             ['T','M','D','O','I','X','H','B','A','J'],\n",
    "             ['F','D','C','I','X','B','E','P','Y','Q']]\n",
    "\n",
    "rs = []\n",
    "rrs = [rs]\n",
    "\n",
    "# 구매 품목 데이터 전처리\n",
    "for n, items in enumerate(predicted):\n",
    "    r = []\n",
    "    for item in items:\n",
    "        if item in actual[n]:\n",
    "            r.append(1)\n",
    "        else:\n",
    "            r.append(0)\n",
    "    rs.append(r)\n",
    "\n",
    "# precision @ k 산출 함수 설정\n",
    "def precision_at_k(rs, k):\n",
    "    assert k >= 1   # 설정된 k가 1 이상인지 확인\n",
    "    # 평가지표 산출에 사용할 결과 item k개가 0이 아니면 True, 0이면 False\n",
    "    rs = np.asarray(rs)[:,:k] != 0 \n",
    "    if rs.shape[1] != k: # 결과지 item 수가 설정한 k개보다 적으면 error\n",
    "        raise ValueError('k setting error')\n",
    "    return np.mean([np.mean(arr) for arr in rs])\n",
    "\n",
    "# recall @ k 산출 함수 설정\n",
    "def recall_at_k(rs, k):\n",
    "    assert k >= 1\n",
    "    rs = np.asarray(rs) != 0\n",
    "    tmp = []\n",
    "    for arr in rs:\n",
    "        all_r = np.sum(arr)\n",
    "        arr =  arr[:k] != 0 \n",
    "        if arr.size != k:\n",
    "            raise ValueError('k setting error')\n",
    "        tmp.append(np.sum(arr)/all_r)\n",
    "    return np.mean(tmp)\n",
    "\n",
    "# average precision 산출 함수 설정\n",
    "def average_precision(rs):\n",
    "    rs = np.asarray(rs) != 0\n",
    "\n",
    "    precision_li = []\n",
    "    for arr in rs:\n",
    "        tmp = []\n",
    "        for k in range(arr.size):\n",
    "            if arr[k]:\n",
    "                tmp.append(np.mean(arr[:k+1] != 0))\n",
    "        precision_li.append(np.mean(tmp))\n",
    "        \n",
    "    if not precision_li:\n",
    "        return 0\n",
    "    return np.mean(precision_li)\n",
    "\n",
    "# MAP 산출 함수 설정\n",
    "def mean_average_precision(rrs):\n",
    "    return np.mean([average_precision(r) for r in rrs])\n",
    "\n",
    "print('precision @ k:{:.3f}'.format(precision_at_k(rs, k)))\n",
    "print('recall @ k:{:.3f}'.format(recall_at_k(rs, k)))\n",
    "print('MAP:{:.3f}'.format(mean_average_precision(rrs)))"
   ]
  }
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