0517.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 프로젝트명: 불균형 데이터 처리 실습 (SMOTE 오버샘플링)\n",
    "\n",
    "\n",
    "\n",
    "![오버샘플링](https://file.notion.so/f/f/4e4750b9-2973-47f2-9fe5-8330ce1f2c19/42b23d5f-2fb5-4922-b654-664749c9756b/%E1%84%89%E1%85%B3%E1%84%8F%E1%85%B3%E1%84%85%E1%85%B5%E1%86%AB%E1%84%89%E1%85%A3%E1%86%BA_2024-05-16_%E1%84%8B%E1%85%A9%E1%84%92%E1%85%AE_9.40.53.png?id=8b3171b4-e83a-4cc2-b8de-207d2beaced3&table=block&spaceId=4e4750b9-2973-47f2-9fe5-8330ce1f2c19&expirationTimestamp=1715954400000&signature=HDwzwK1g1Rx1Wyyd5xr-WNNG-rRxsNJApTltz1D8ddw&downloadName=%E1%84%89%E1%85%B3%E1%84%8F%E1%85%B3%E1%84%85%E1%85%B5%E1%86%AB%E1%84%89%E1%85%A3%E1%86%BA+2024-05-16+%E1%84%8B%E1%85%A9%E1%84%92%E1%85%AE+9.40.53.png)\n",
    "\n",
    "#### 📌 SMOTE (Synthetic Minority Over-sampling Technique) 방법\n",
    "- 소수인 데이터에 K근접 이웃을 찾아서, 무작위로 이웃을 선택합니다.\n",
    "- 그리고 선택한 이웃 사이에 가상의 데이터를 생성합니다. \n",
    "\n",
    "\n",
    "#### 🚨 주의사항\n",
    "- SMOTE를 적용한다고 무조건 모델의 성능이 좋아지는 게 아닙니다.\n",
    "- 정상: 99.9% / 비정상 0.1% 처럼 극히 불균형한 데이터셋에 적용하지만, 노이즈가 있는 데이터라면 오히려 노이즈가 증가할 수 있습니다.\n",
    "\n",
    "![SMOTE](https://file.notion.so/f/f/4e4750b9-2973-47f2-9fe5-8330ce1f2c19/8c10a2a3-affb-4117-b568-2c1e787f8521/%E1%84%89%E1%85%B3%E1%84%8F%E1%85%B3%E1%84%85%E1%85%B5%E1%86%AB%E1%84%89%E1%85%A3%E1%86%BA_2024-05-16_%E1%84%8B%E1%85%A9%E1%84%92%E1%85%AE_9.58.47.png?id=4e3faf5e-2d23-4fea-b0ea-f64228590407&table=block&spaceId=4e4750b9-2973-47f2-9fe5-8330ce1f2c19&expirationTimestamp=1715954400000&signature=du8RYq2_Y66LG0jb3Bv7t1rI5bbtCLf21sH_h5swKdM&downloadName=%E1%84%89%E1%85%B3%E1%84%8F%E1%85%B3%E1%84%85%E1%85%B5%E1%86%AB%E1%84%89%E1%85%A3%E1%86%BA+2024-05-16+%E1%84%8B%E1%85%A9%E1%84%92%E1%85%AE+9.58.47.png)\n",
    "\n",
    "#### 실습 데이터 : 신용카드 사기 데이터 \n",
    "\n",
    "- 정상 클래스 : 99.8%\n",
    "- 비정상 클래스 : 0.02%\n",
    "- Amount : 금액 (유로화)\n",
    "- Class : 사기 여부 (정상:0, 사기:1)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 분석 과정\n",
    "\n",
    "1. 중요 변수의 분포도 변경 (리스케일)\n",
    "> - ✅ Log 변환: Skew(왜도)가 심한 분포를 `정규분포`처럼 바꿔주는 변환 방법\n",
    "> - ✅ 정규분포로 바꾸는 이유 : 대부분 ML알고리즘은 정규분포일 때 성능이 좋아지기 때문 (트리기반 알고리즘에는 효과 미미)\n",
    "2. 이상치 제거\n",
    "> - ✅ 이상치가 있으면 모델 성능이 저하될 수 있음 (안 될 수도 있고)\n",
    "3. SMOTE 오버 샘플링\n",
    "> - ✅ 사기 데이터 뻥튀기 시킴\n",
    "4. 모델 학습 및 성능 비교\n",
    "> - 로지스틱 회귀모델, LightGBM 대상"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import ssl\n",
    "ssl._create_default_https_context = ssl._create_unverified_context\n",
    "import warnings\n",
    "warnings.filterwarnings('ignore')\n",
    "import matplotlib.pyplot as plt\n",
    "import pandas as pd\n",
    "from sklearn.model_selection import train_test_split\n",
    "from sklearn.metrics import confusion_matrix, accuracy_score, precision_score, recall_score, f1_score\n",
    "from sklearn.metrics import roc_auc_score\n",
    "from lightgbm import LGBMClassifier"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "   Time        V1        V2        V3        V4        V5        V6        V7  \\\n",
      "0   0.0 -1.359807 -0.072781  2.536347  1.378155 -0.338321  0.462388  0.239599   \n",
      "1   0.0  1.191857  0.266151  0.166480  0.448154  0.060018 -0.082361 -0.078803   \n",
      "2   1.0 -1.358354 -1.340163  1.773209  0.379780 -0.503198  1.800499  0.791461   \n",
      "3   1.0 -0.966272 -0.185226  1.792993 -0.863291 -0.010309  1.247203  0.237609   \n",
      "4   2.0 -1.158233  0.877737  1.548718  0.403034 -0.407193  0.095921  0.592941   \n",
      "\n",
      "         V8        V9  ...       V21       V22       V23       V24       V25  \\\n",
      "0  0.098698  0.363787  ... -0.018307  0.277838 -0.110474  0.066928  0.128539   \n",
      "1  0.085102 -0.255425  ... -0.225775 -0.638672  0.101288 -0.339846  0.167170   \n",
      "2  0.247676 -1.514654  ...  0.247998  0.771679  0.909412 -0.689281 -0.327642   \n",
      "3  0.377436 -1.387024  ... -0.108300  0.005274 -0.190321 -1.175575  0.647376   \n",
      "4 -0.270533  0.817739  ... -0.009431  0.798278 -0.137458  0.141267 -0.206010   \n",
      "\n",
      "        V26       V27       V28  Amount  Class  \n",
      "0 -0.189115  0.133558 -0.021053  149.62      0  \n",
      "1  0.125895 -0.008983  0.014724    2.69      0  \n",
      "2 -0.139097 -0.055353 -0.059752  378.66      0  \n",
      "3 -0.221929  0.062723  0.061458  123.50      0  \n",
      "4  0.502292  0.219422  0.215153   69.99      0  \n",
      "\n",
      "[5 rows x 31 columns]\n"
     ]
    }
   ],
   "source": [
    "data = pd.read_csv('C:\\\\Users\\\\USER\\\\projects\\\\data_study\\\\Data\\\\creditcard.csv')\n",
    "\n",
    "print(data.head())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(0    284315\n",
       " 1       492\n",
       " Name: Class, dtype: int64,\n",
       " 0    0.998273\n",
       " 1    0.001727\n",
       " Name: Class, dtype: float64)"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data['Class'].value_counts(), data['Class'].value_counts(normalize=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 1. 계속사용할 코드를 함수로 생성"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "## 1. 전처리 함수 (앞으로 계속 로직이 추가될 예정)\n",
    "def clean_data(df):\n",
    "    df_copy = df.copy()\n",
    "    df_copy = df_copy.drop(['Time'], axis=1)\n",
    "    return df_copy\n",
    "\n",
    "## 2. 데이터 분리 함수\n",
    "def get_train_test_dataset(df):\n",
    "    # 인자로 입력된 DataFrame의 사전 데이터 가공이 완료된 복사 DataFrame 반환\n",
    "    df_copy = clean_data(df)\n",
    "    # DataFrame의 맨 마지막 컬럼이 종속변수, 나머지는 독립변수\n",
    "    X_features = df_copy.iloc[:, :-1]\n",
    "    y_target = df_copy.iloc[:, -1]\n",
    "\n",
    "    ## train_test_split()으로 학습과 테스트 데이터 분할.\n",
    "    ## stratify=y_target으로 Stratified 기반 분할.\n",
    "    X_train, X_test, y_train, y_test = train_test_split(X_features, y_target, test_size=0.3, random_state=0, stratify=y_target)\n",
    "    return X_train, X_test, y_train, y_test\n",
    "\n",
    "## 3. 모델성능 평가 함수\n",
    "def get_clf_eval(y_test, pred=None, pred_proba=None):\n",
    "    confusion = confusion_matrix( y_test, pred)\n",
    "    accuracy = accuracy_score(y_test , pred)\n",
    "    precision = precision_score(y_test , pred)\n",
    "    recall = recall_score(y_test , pred)\n",
    "    f1 = f1_score(y_test,pred)\n",
    "    roc_auc = roc_auc_score(y_test, pred_proba)\n",
    "\n",
    "    print('========= 오차 행렬 ========= ')\n",
    "    print(confusion)\n",
    "    print('=========================== ')\n",
    "\n",
    "    print('정확도: {0:.4f}, 정밀도: {1:.4f}, 재현율: {2:.4f},\\\n",
    "    ⭐️F1: {3:.4f}, AUC:{4:.4f}'.format(accuracy, precision, recall, f1, roc_auc))\n",
    "\n",
    "## 4. 모델 학습 및 평가 함수\n",
    "def get_model_train_eval(model, X_feature_train=None, X_feature_test=None, Y_feature_train=None, Y_feature_test=None):\n",
    "    model.fit(X_feature_train, Y_feature_train)\n",
    "    pred = model.predict(X_feature_test)\n",
    "    pred_proba = model.predict_proba(X_feature_test)[:, 1]\n",
    "    get_clf_eval(Y_feature_test, pred, pred_proba)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 2. 학습데이터와 테스트 데이터의 종속변수 비율 확인하기"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "학습 데이터 레이블 값 비율\n",
      "0    0.998275\n",
      "1    0.001725\n",
      "Name: Class, dtype: float64\n",
      "테스트 데이터 레이블 값 비율\n",
      "0    0.998268\n",
      "1    0.001732\n",
      "Name: Class, dtype: float64\n"
     ]
    }
   ],
   "source": [
    "X_train, X_test, y_train, y_test = get_train_test_dataset(data)\n",
    "\n",
    "print('학습 데이터 레이블 값 비율')\n",
    "print(y_train.value_counts(normalize=True))\n",
    "print('테스트 데이터 레이블 값 비율')\n",
    "print(y_test.value_counts(normalize=True))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 3. 로지스틱 회귀모델 "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "========= 오차 행렬 ========= \n",
      "[[85282    13]\n",
      " [   61    87]]\n",
      "=========================== \n",
      "정확도: 0.9991, 정밀도: 0.8700, 재현율: 0.5878,    ⭐️F1: 0.7016, AUC:0.9552\n"
     ]
    }
   ],
   "source": [
    "from sklearn.linear_model import LogisticRegression\n",
    "\n",
    "lr_clf = LogisticRegression()\n",
    "lr_clf.fit(X_train, y_train)\n",
    "lr_pred = lr_clf.predict(X_test)\n",
    "lr_pred_proba = lr_clf.predict_proba(X_test)[:, 1]\n",
    "\n",
    "# 3장에서 사용한 get_clf_eval() 함수를 이용하여 평가 수행. \n",
    "get_clf_eval(y_test, lr_pred, lr_pred_proba)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 4. LightGBM 모델\n",
    "##### 🚨 불균형 데이터를 LightGBM 사용시, `boost_from_average=False`를 무조건 해줘야합니다.\n",
    "- 안 그러면, 성능이 저하됩니다."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[LightGBM] [Info] Number of positive: 344, number of negative: 199020\n",
      "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.012628 seconds.\n",
      "You can set `force_col_wise=true` to remove the overhead.\n",
      "[LightGBM] [Info] Total Bins 7395\n",
      "[LightGBM] [Info] Number of data points in the train set: 199364, number of used features: 29\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
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      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "========= 오차 행렬 ========= \n",
      "[[85290     5]\n",
      " [   36   112]]\n",
      "=========================== \n",
      "정확도: 0.9995, 정밀도: 0.9573, 재현율: 0.7568,    ⭐️F1: 0.8453, AUC:0.9790\n"
     ]
    }
   ],
   "source": [
    "lgbm_clf = LGBMClassifier(n_estimators=1000, \n",
    "                          num_leaves=64, \n",
    "                          n_jobs=-1, \n",
    "                          boost_from_average=False\n",
    "                          )\n",
    "\n",
    "get_model_train_eval(lgbm_clf, X_feature_train=X_train, X_feature_test=X_test, Y_feature_train=y_train, Y_feature_test=y_test)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 5. 중요 변수인 Amount 변수의 분포 변경 후 모델 성능 평가\n",
    "##### Amount 분포 확인\n",
    "\n",
    "##### ⭐️ TIP. 매출액, 소득, 금액 같은 변수들은 보통 Skew(왜도)가 심한 경우가 많습니다."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x400 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import seaborn as sns\n",
    "\n",
    "plt.figure(figsize=(8, 4))\n",
    "plt.xticks(range(0, 30000, 1000), rotation=60)\n",
    "sns.histplot(data['Amount'], bins=100, kde=True)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- 경험적으로 Skew가 심한 데이터는 StandardScaler 보다 Log 스케일이 좀 더 성능이 좋습니다. \n",
    "### 6. 전처리 함수에 StandardScaler 추가"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.preprocessing import StandardScaler\n",
    "# 사이킷런의 StandardScaler를 이용하여 정규분포 형태로 Amount 피처값 변환하는 로직으로 수정. \n",
    "def clean_data(df):\n",
    "    df_copy = df.copy()\n",
    "    print(\"🔥StandardScaler 실행중...\")\n",
    "    scaler = StandardScaler()\n",
    "    amount_n = scaler.fit_transform(df_copy['Amount'].values.reshape(-1, 1))\n",
    "    # 변환된 Amount를 Amount_Scaled로 피처명 변경후 DataFrame맨 앞 컬럼으로 입력\n",
    "    df_copy.insert(0, 'Amount_Scaled', amount_n)\n",
    "    # 기존 Time, Amount 피처 삭제\n",
    "    df_copy.drop(['Time','Amount'], axis=1, inplace=True)\n",
    "    return df_copy"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### 리스케일 후 성능 비교"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "🔥StandardScaler 실행중...\n",
      "### 로지스틱 회귀 예측 성능 ###\n",
      "========= 오차 행렬 ========= \n",
      "[[85281    14]\n",
      " [   58    90]]\n",
      "=========================== \n",
      "정확도: 0.9992, 정밀도: 0.8654, 재현율: 0.6081,    ⭐️F1: 0.7143, AUC:0.9702\n",
      "### LightGBM 예측 성능 ###\n",
      "[LightGBM] [Info] Number of positive: 344, number of negative: 199020\n",
      "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.011918 seconds.\n",
      "You can set `force_col_wise=true` to remove the overhead.\n",
      "[LightGBM] [Info] Total Bins 7395\n",
      "[LightGBM] [Info] Number of data points in the train set: 199364, number of used features: 29\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
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      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
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      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
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      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
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      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
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      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
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      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
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      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
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      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "========= 오차 행렬 ========= \n",
      "[[85290     5]\n",
      " [   37   111]]\n",
      "=========================== \n",
      "정확도: 0.9995, 정밀도: 0.9569, 재현율: 0.7500,    ⭐️F1: 0.8409, AUC:0.9779\n"
     ]
    }
   ],
   "source": [
    "# Amount를 정규분포 형태로 변환 후 로지스틱 회귀 및 LightGBM 수행. \n",
    "X_train, X_test, y_train, y_test = get_train_test_dataset(data)\n",
    "\n",
    "print('### 로지스틱 회귀 예측 성능 ###')\n",
    "lr_clf = LogisticRegression()\n",
    "get_model_train_eval(lr_clf, X_feature_train=X_train, X_feature_test=X_test, Y_feature_train=y_train, Y_feature_test=y_test)\n",
    "\n",
    "print('### LightGBM 예측 성능 ###')\n",
    "lgbm_clf = LGBMClassifier(n_estimators=1000, num_leaves=64, n_jobs=-1, boost_from_average=False)\n",
    "get_model_train_eval(lgbm_clf, X_feature_train=X_train, X_feature_test=X_test, Y_feature_train=y_train, Y_feature_test=y_test)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### StandardScaler 적용 후 성능 비교\n",
    "##### 로지스틱 회귀모델 \n",
    "- 원본데이터 => 정확도: 0.9991, 정밀도: 0.8491, 재현율: 0.6081,    ⭐️F1: 0.7087, AUC:0.9536 \n",
    "- 리스케일 데이터 => 정확도: 0.9992, 정밀도: 0.8654, 재현율: 0.6081,    ⭐️F1: 0.7143, AUC:0.9702\n",
    "-----------------------\n",
    "##### LightGBM \n",
    "- 원본데이터 => 정확도: 0.9995, 정밀도: 0.9573, 재현율: 0.7568,    ⭐️F1: 0.8453, AUC:0.9790\n",
    "- 리스케일 데이터 => 정확도: 0.9995, 정밀도: 0.9569, 재현율: 0.7500,    ⭐️F1: 0.8409, AUC:0.9779\n",
    "\n",
    "#### ✅ 리스케일을 진행한다고 해서 성능이 반드시 좋아지지 않습니다.\n",
    "\n",
    "### 7. 전처리 함수에 로그스케일 추가"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "def clean_data(df):\n",
    "    df_copy = df.copy()\n",
    "    print(\"🔥로그 변환 실행중...\")\n",
    "    # 넘파이의 log1p( )를 이용하여 Amount를 로그 변환 \n",
    "    # ⭐️ log1p()는 넘파이의 log() 함수와 유사하나 log(0)은 무한대가 되지만 log1p(0)은 0으로 반환\n",
    "    # ⭐️⭐️복원시에는 np.expm1()을 이용한다.\n",
    "    amount_n = np.log1p(df_copy['Amount']) \n",
    "    df_copy.insert(0, 'Amount_Scaled', amount_n)\n",
    "    # 기존 Time, Amount 피처 삭제\n",
    "    df_copy.drop(['Time','Amount'], axis=1, inplace=True)\n",
    "    return df_copy"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### 로그변환 뒤 성능비교"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "🔥로그 변환 실행중...\n",
      "### 로지스틱 회귀 예측 성능 ###\n",
      "========= 오차 행렬 ========= \n",
      "[[85283    12]\n",
      " [   59    89]]\n",
      "=========================== \n",
      "정확도: 0.9992, 정밀도: 0.8812, 재현율: 0.6014,    ⭐️F1: 0.7149, AUC:0.9727\n",
      "### LightGBM 예측 성능 ###\n",
      "[LightGBM] [Info] Number of positive: 344, number of negative: 199020\n",
      "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.011841 seconds.\n",
      "You can set `force_col_wise=true` to remove the overhead.\n",
      "[LightGBM] [Info] Total Bins 7395\n",
      "[LightGBM] [Info] Number of data points in the train set: 199364, number of used features: 29\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
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      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "========= 오차 행렬 ========= \n",
      "[[85290     5]\n",
      " [   35   113]]\n",
      "=========================== \n",
      "정확도: 0.9995, 정밀도: 0.9576, 재현율: 0.7635,    ⭐️F1: 0.8496, AUC:0.9796\n"
     ]
    }
   ],
   "source": [
    "# Amount를 정규분포 형태로 변환 후 로지스틱 회귀 및 LightGBM 수행. \n",
    "X_train, X_test, y_train, y_test = get_train_test_dataset(data)\n",
    "\n",
    "print('### 로지스틱 회귀 예측 성능 ###')\n",
    "lr_clf = LogisticRegression()\n",
    "get_model_train_eval(lr_clf, X_feature_train=X_train, X_feature_test=X_test, Y_feature_train=y_train, Y_feature_test=y_test)\n",
    "\n",
    "print('### LightGBM 예측 성능 ###')\n",
    "lgbm_clf = LGBMClassifier(n_estimators=1000, num_leaves=64, n_jobs=-1, boost_from_average=False)\n",
    "get_model_train_eval(lgbm_clf, X_feature_train=X_train, X_feature_test=X_test, Y_feature_train=y_train, Y_feature_test=y_test)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 로그변환 적용 후 성능 비교\n",
    "##### 로지스틱 회귀모델 \n",
    "- 원본데이터 => 정확도: 0.9991, 정밀도: 0.8491, 재현율: 0.6081,    ⭐️F1: 0.7087, AUC:0.9536 \n",
    "- 리스케일 데이터 => 정확도: 0.9992, 정밀도: 0.8812, 재현율: 0.6014,    ⭐️F1: 0.7149, AUC:0.9727\n",
    "-----------------------\n",
    "##### LightGBM \n",
    "- 원본데이터 => 정확도: 0.9995, 정밀도: 0.9573, 재현율: 0.7568,    ⭐️F1: 0.8453, AUC:0.9790\n",
    "- 리스케일 데이터 => 정확도: 0.9995, 정밀도: 0.9576, 재현율: 0.7635,    ⭐️F1: 0.8496, AUC:0.9796\n",
    "\n",
    "#### ✅ 리스케일을 진행한다고 해서 성능이 반드시 좋아지지 않지만, 조금 증가함. \n",
    "\n",
    "### 8. Amount에 로그변환 후 분포 시각화"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Amount_Scaled</th>\n",
       "      <th>V1</th>\n",
       "      <th>V2</th>\n",
       "      <th>V3</th>\n",
       "      <th>V4</th>\n",
       "      <th>V5</th>\n",
       "      <th>V6</th>\n",
       "      <th>V7</th>\n",
       "      <th>V8</th>\n",
       "      <th>V9</th>\n",
       "      <th>...</th>\n",
       "      <th>V19</th>\n",
       "      <th>V20</th>\n",
       "      <th>V21</th>\n",
       "      <th>V22</th>\n",
       "      <th>V23</th>\n",
       "      <th>V24</th>\n",
       "      <th>V25</th>\n",
       "      <th>V26</th>\n",
       "      <th>V27</th>\n",
       "      <th>V28</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>211605</th>\n",
       "      <td>0.524729</td>\n",
       "      <td>-8.367621</td>\n",
       "      <td>7.402969</td>\n",
       "      <td>-5.114191</td>\n",
       "      <td>-2.966792</td>\n",
       "      <td>-0.985904</td>\n",
       "      <td>-1.660018</td>\n",
       "      <td>0.397816</td>\n",
       "      <td>1.008250</td>\n",
       "      <td>5.290976</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.750795</td>\n",
       "      <td>3.589299</td>\n",
       "      <td>-0.557927</td>\n",
       "      <td>0.349087</td>\n",
       "      <td>0.301734</td>\n",
       "      <td>0.662330</td>\n",
       "      <td>1.145939</td>\n",
       "      <td>-0.012273</td>\n",
       "      <td>1.513736</td>\n",
       "      <td>0.669504</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>231628</th>\n",
       "      <td>4.033710</td>\n",
       "      <td>-1.290662</td>\n",
       "      <td>0.764452</td>\n",
       "      <td>-0.169233</td>\n",
       "      <td>-1.688528</td>\n",
       "      <td>1.984718</td>\n",
       "      <td>-0.717210</td>\n",
       "      <td>1.667635</td>\n",
       "      <td>-0.228295</td>\n",
       "      <td>-0.959071</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.059595</td>\n",
       "      <td>0.057620</td>\n",
       "      <td>0.138615</td>\n",
       "      <td>0.390374</td>\n",
       "      <td>-0.678774</td>\n",
       "      <td>0.292254</td>\n",
       "      <td>1.425865</td>\n",
       "      <td>0.265341</td>\n",
       "      <td>0.051405</td>\n",
       "      <td>0.103879</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>110643</th>\n",
       "      <td>2.525729</td>\n",
       "      <td>-0.606860</td>\n",
       "      <td>0.233923</td>\n",
       "      <td>2.633361</td>\n",
       "      <td>-0.155762</td>\n",
       "      <td>-0.328850</td>\n",
       "      <td>-0.070593</td>\n",
       "      <td>0.173023</td>\n",
       "      <td>0.113394</td>\n",
       "      <td>0.680147</td>\n",
       "      <td>...</td>\n",
       "      <td>-1.003842</td>\n",
       "      <td>-0.129287</td>\n",
       "      <td>0.007393</td>\n",
       "      <td>0.265045</td>\n",
       "      <td>-0.040615</td>\n",
       "      <td>0.406088</td>\n",
       "      <td>-0.498823</td>\n",
       "      <td>0.121851</td>\n",
       "      <td>-0.046840</td>\n",
       "      <td>-0.087259</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11478</th>\n",
       "      <td>2.397895</td>\n",
       "      <td>1.374168</td>\n",
       "      <td>-0.330389</td>\n",
       "      <td>0.812971</td>\n",
       "      <td>-0.183112</td>\n",
       "      <td>-1.074771</td>\n",
       "      <td>-0.933788</td>\n",
       "      <td>-0.544238</td>\n",
       "      <td>-0.348237</td>\n",
       "      <td>0.614925</td>\n",
       "      <td>...</td>\n",
       "      <td>0.603330</td>\n",
       "      <td>0.078163</td>\n",
       "      <td>-0.134742</td>\n",
       "      <td>0.016793</td>\n",
       "      <td>0.002610</td>\n",
       "      <td>0.714527</td>\n",
       "      <td>0.536175</td>\n",
       "      <td>-0.307487</td>\n",
       "      <td>-0.003555</td>\n",
       "      <td>0.013024</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>243724</th>\n",
       "      <td>7.736766</td>\n",
       "      <td>-2.146505</td>\n",
       "      <td>-7.603113</td>\n",
       "      <td>-4.928224</td>\n",
       "      <td>1.449173</td>\n",
       "      <td>-2.083871</td>\n",
       "      <td>-0.984759</td>\n",
       "      <td>3.629816</td>\n",
       "      <td>-1.302973</td>\n",
       "      <td>-1.434148</td>\n",
       "      <td>...</td>\n",
       "      <td>-1.373723</td>\n",
       "      <td>4.009181</td>\n",
       "      <td>1.274986</td>\n",
       "      <td>-0.857670</td>\n",
       "      <td>-2.109682</td>\n",
       "      <td>0.169338</td>\n",
       "      <td>-0.322888</td>\n",
       "      <td>0.777822</td>\n",
       "      <td>-0.552258</td>\n",
       "      <td>0.304777</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 29 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        Amount_Scaled        V1        V2        V3        V4        V5  \\\n",
       "211605       0.524729 -8.367621  7.402969 -5.114191 -2.966792 -0.985904   \n",
       "231628       4.033710 -1.290662  0.764452 -0.169233 -1.688528  1.984718   \n",
       "110643       2.525729 -0.606860  0.233923  2.633361 -0.155762 -0.328850   \n",
       "11478        2.397895  1.374168 -0.330389  0.812971 -0.183112 -1.074771   \n",
       "243724       7.736766 -2.146505 -7.603113 -4.928224  1.449173 -2.083871   \n",
       "\n",
       "              V6        V7        V8        V9  ...       V19       V20  \\\n",
       "211605 -1.660018  0.397816  1.008250  5.290976  ... -0.750795  3.589299   \n",
       "231628 -0.717210  1.667635 -0.228295 -0.959071  ... -0.059595  0.057620   \n",
       "110643 -0.070593  0.173023  0.113394  0.680147  ... -1.003842 -0.129287   \n",
       "11478  -0.933788 -0.544238 -0.348237  0.614925  ...  0.603330  0.078163   \n",
       "243724 -0.984759  3.629816 -1.302973 -1.434148  ... -1.373723  4.009181   \n",
       "\n",
       "             V21       V22       V23       V24       V25       V26       V27  \\\n",
       "211605 -0.557927  0.349087  0.301734  0.662330  1.145939 -0.012273  1.513736   \n",
       "231628  0.138615  0.390374 -0.678774  0.292254  1.425865  0.265341  0.051405   \n",
       "110643  0.007393  0.265045 -0.040615  0.406088 -0.498823  0.121851 -0.046840   \n",
       "11478  -0.134742  0.016793  0.002610  0.714527  0.536175 -0.307487 -0.003555   \n",
       "243724  1.274986 -0.857670 -2.109682  0.169338 -0.322888  0.777822 -0.552258   \n",
       "\n",
       "             V28  \n",
       "211605  0.669504  \n",
       "231628  0.103879  \n",
       "110643 -0.087259  \n",
       "11478   0.013024  \n",
       "243724  0.304777  \n",
       "\n",
       "[5 rows x 29 columns]"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X_train.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x400 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(8, 4))\n",
    "sns.histplot(X_train['Amount_Scaled'], bins=100, kde=True)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 9. 이상치 데이터 제거 후 모델 성능 비교\n",
    "\n",
    "##### 분석절차\n",
    "1. 변수들끼리 상관관계 분석 진행\n",
    "2. 종속변수와 연관있는 변수 추출"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: >"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1500x1500 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(15, 15))\n",
    "corr = data.corr()\n",
    "sns.heatmap(corr, cmap='RdBu', annot=True, fmt='.1f')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 10. 종속변수와 연관있는 변수 중 V14를 대상으로 이상치 찾아보자.\n",
    "\n",
    "![IQR_이상치제거](https://file.notion.so/f/f/4e4750b9-2973-47f2-9fe5-8330ce1f2c19/8fc2f027-1b7a-4259-bf78-88af040b614e/%E1%84%89%E1%85%B3%E1%84%8F%E1%85%B3%E1%84%85%E1%85%B5%E1%86%AB%E1%84%89%E1%85%A3%E1%86%BA_2024-05-16_%E1%84%8B%E1%85%A9%E1%84%92%E1%85%AE_10.19.07.png?id=aefab2cc-09a0-4163-85ca-00b77c9892e0&table=block&spaceId=4e4750b9-2973-47f2-9fe5-8330ce1f2c19&expirationTimestamp=1715961600000&signature=LwQiWIxn7twXTnlL6-CKv56PvHWM4lWOq0Uc2BQAfls&downloadName=%E1%84%89%E1%85%B3%E1%84%8F%E1%85%B3%E1%84%85%E1%85%B5%E1%86%AB%E1%84%89%E1%85%A3%E1%86%BA+2024-05-16+%E1%84%8B%E1%85%A9%E1%84%92%E1%85%AE+10.19.07.png)\n",
    "\n",
    "- IQR 방식은 가장 보편적인 이상치 제거 방법입니다."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "count    2.848070e+05\n",
       "mean     1.207294e-15\n",
       "std      9.585956e-01\n",
       "min     -1.921433e+01\n",
       "25%     -4.255740e-01\n",
       "50%      5.060132e-02\n",
       "75%      4.931498e-01\n",
       "max      1.052677e+01\n",
       "Name: V14, dtype: float64"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data['V14'].describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "-19.2143254902614 -0.4255740124549935 0.0506013193100486 0.493149849218149 10.5267660517847\n"
     ]
    }
   ],
   "source": [
    "print(np.percentile(data['V14'].values, 0),\n",
    "       np.percentile(data['V14'].values, 25), \n",
    "       np.percentile(data['V14'].values, 50),\n",
    "       np.percentile(data['V14'].values, 75), \n",
    "       np.percentile(data['V14'].values, 100)\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [],
   "source": [
    "def get_outlier(df, column, weight=1.5):\n",
    "    # 사기에 해당하는 column 데이터만 추출, 1/4 분위와 3/4 분위 지점을 np.percentile로 구함. \n",
    "    fraud = df[df['Class']==1][column]\n",
    "    quantile_25 = np.percentile(fraud.values, 25)\n",
    "    quantile_75 = np.percentile(fraud.values, 75)\n",
    "    # IQR을 구하고, IQR에 1.5를 곱하여 최대값과 최소값 지점 구함. \n",
    "    iqr = quantile_75 - quantile_25\n",
    "    iqr_weight = iqr * weight\n",
    "    lowest_val = quantile_25 - iqr_weight\n",
    "    highest_val = quantile_75 + iqr_weight\n",
    "    # 최대값 보다 크거나, 최소값 보다 작은 값을 이상치로 설정하고 DataFrame index 반환. \n",
    "    outlier_index = fraud[(fraud < lowest_val) | (fraud > highest_val)].index\n",
    "    return outlier_index"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Int64Index([8296, 8615, 9035, 9252], dtype='int64')"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "V14_outliers = get_outlier(data, 'V14', weight=1.5)\n",
    "V14_outliers"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 11. 로그변환 전처리 함수에 이상치 제거 로직 추가"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [],
   "source": [
    "def clean_data(df):\n",
    "    df_copy = df.copy()\n",
    "    print(\"🔥로그 변환 실행중...\")\n",
    "    amount_n = np.log1p(df_copy['Amount']) \n",
    "    df_copy.insert(0, 'Amount_Scaled', amount_n)\n",
    "    df_copy.drop(['Time','Amount'], axis=1, inplace=True)\n",
    "    # 이상치 데이터 삭제하는 로직 추가\n",
    "    print(\"🔥이상치 제거 실행중...\")\n",
    "    outlier_index = get_outlier(df=df_copy, column='V14', weight=1.5)\n",
    "    df_copy.drop(outlier_index, axis=0, inplace=True)\n",
    "    return df_copy"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 로그변환 적용 + V14 이상치 제거 성능 비교\n",
    "##### 로지스틱 회귀모델 \n",
    "- 원본데이터  .  .  .  .  .  .  .  .  .  .  .  .  .  . . => 정확도: 0.9991, 정밀도: 0.8491, 재현율: 0.6081,    ⭐️F1: 0.7087, AUC:0.9536 \n",
    "- 리스케일 & 이상치 제거 데이터 => 정확도: 0.9993, 정밀도: 0.8750, 재현율: 0.6712,    ⭐️F1: 0.7597, AUC:0.9743\n",
    "-----------------------\n",
    "##### LightGBM \n",
    "- 원본데이터  .  .  .  .  .  .  .  .  .  .  .  .  .  . . => 정확도: 0.9995, 정밀도: 0.9573, 재현율: 0.7568,    ⭐️F1: 0.8453, AUC:0.9790\n",
    "- 리스케일 & 이상치 제거 데이터 => 정확도: 0.9996, 정밀도: 0.9603, 재현율: 0.8288,    ⭐️F1: 0.8897, AUC:0.9780\n",
    "\n",
    "#### ✅ 리스케일을 진행하고, 이상치를 지우니 성능이 많이 좋아졌다!\n",
    "\n",
    "##### ⭐️ 이상치를 지울때 유의사항\n",
    "> - 1. 모델에 성능에 집중해서 이상치 제거에 중독되는데, 사실 이상치를 덜 지워야하는게 좋습니다. \n",
    "> - 2. 현실에서 신규 데이터 유입시 제거했던 그 `이상치 데이터`가 들어올 수 있기 때문입니다. \n",
    "\n",
    "### 12. SMOTE 오버 샘플링 후 모델 성능 비교"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "%pip install -U imbalanced-learn\n",
    "\n",
    "\n",
    "#### 🚨 주의사항\n",
    "1. 모델 `학습`만 SMOTE 시킨 데이터를 사용해야합니다.\n",
    "2. 테스트셋은 미리 분리한 데이터를 사용해야만 합니다."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Requirement already satisfied: imbalanced-learn in c:\\users\\user\\projects\\data_study\\venv\\lib\\site-packages (0.12.2)\n",
      "Requirement already satisfied: scikit-learn>=1.0.2 in c:\\users\\user\\projects\\data_study\\venv\\lib\\site-packages (from imbalanced-learn) (1.2.1)\n",
      "Requirement already satisfied: threadpoolctl>=2.0.0 in c:\\users\\user\\projects\\data_study\\venv\\lib\\site-packages (from imbalanced-learn) (3.5.0)\n",
      "Requirement already satisfied: numpy>=1.17.3 in c:\\users\\user\\projects\\data_study\\venv\\lib\\site-packages (from imbalanced-learn) (1.23.5)\n",
      "Requirement already satisfied: scipy>=1.5.0 in c:\\users\\user\\projects\\data_study\\venv\\lib\\site-packages (from imbalanced-learn) (1.10.1)\n",
      "Requirement already satisfied: joblib>=1.1.1 in c:\\users\\user\\projects\\data_study\\venv\\lib\\site-packages (from imbalanced-learn) (1.3.2)\n",
      "Note: you may need to restart the kernel to use updated packages.\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "WARNING: You are using pip version 21.1.3; however, version 24.0 is available.\n",
      "You should consider upgrading via the 'c:\\Users\\USER\\projects\\data_study\\venv\\Scripts\\python.exe -m pip install --upgrade pip' command.\n"
     ]
    }
   ],
   "source": [
    "%pip install -U imbalanced-learn"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "SMOTE 적용 🔴전 학습용 피처/레이블 데이터 세트:  (199364, 29) (199364,)\n",
      "SMOTE 적용 🟢후 학습용 피처/레이블 데이터 세트:  (398040, 29) (398040,)\n",
      "SMOTE 적용 후 레이블 값 분포: \n",
      " 0    199020\n",
      "1    199020\n",
      "Name: Class, dtype: int64 \n",
      " 0    0.5\n",
      "1    0.5\n",
      "Name: Class, dtype: float64\n"
     ]
    }
   ],
   "source": [
    "from imblearn.over_sampling import SMOTE\n",
    "\n",
    "## 1. SMOTE 정의\n",
    "smote = SMOTE(random_state=0)\n",
    "## 2. SMOTE 적용\n",
    "X_train_over, y_train_over = smote.fit_resample(X_train, y_train)\n",
    "\n",
    "print('SMOTE 적용 🔴전 학습용 피처/레이블 데이터 세트: ', X_train.shape, y_train.shape)\n",
    "print('SMOTE 적용 🟢후 학습용 피처/레이블 데이터 세트: ', X_train_over.shape, y_train_over.shape)\n",
    "print('SMOTE 적용 후 레이블 값 분포: \\n', pd.Series(y_train_over).value_counts(), '\\n', pd.Series(y_train_over).value_counts(normalize=True))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "### SMOTE 데이터의 로지스틱 회귀 예측 성능 ###\n",
      "========= 오차 행렬 ========= \n",
      "[[83317  1978]\n",
      " [   15   133]]\n",
      "=========================== \n",
      "정확도: 0.9767, 정밀도: 0.0630, 재현율: 0.8986,    ⭐️F1: 0.1178, AUC:0.9803\n",
      "### SMOTE 데이터의 LightGBM 예측 성능 ###\n",
      "[LightGBM] [Info] Number of positive: 199020, number of negative: 199020\n",
      "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.022595 seconds.\n",
      "You can set `force_col_wise=true` to remove the overhead.\n",
      "[LightGBM] [Info] Total Bins 7395\n",
      "[LightGBM] [Info] Number of data points in the train set: 398040, number of used features: 29\n",
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      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
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      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
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      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "========= 오차 행렬 ========= \n",
      "[[85277    18]\n",
      " [   36   112]]\n",
      "=========================== \n",
      "정확도: 0.9994, 정밀도: 0.8615, 재현율: 0.7568,    ⭐️F1: 0.8058, AUC:0.9780\n"
     ]
    }
   ],
   "source": [
    "print('### SMOTE 데이터의 로지스틱 회귀 예측 성능 ###')\n",
    "lr_clf = LogisticRegression(max_iter=1000)\n",
    "get_model_train_eval(lr_clf, \n",
    "                     X_feature_train=X_train_over, \n",
    "                     X_feature_test=X_test, ## ✅ 테스트 데이터는 그대로 사용\n",
    "                     Y_feature_train=y_train_over, \n",
    "                     Y_feature_test=y_test ## ✅ 테스트 데이터는 그대로 사용\n",
    "                     )\n",
    "\n",
    "print('### SMOTE 데이터의 LightGBM 예측 성능 ###')\n",
    "lgbm_clf = LGBMClassifier(n_estimators=1000, num_leaves=64, n_jobs=-1, boost_from_average=False)\n",
    "get_model_train_eval(lgbm_clf, \n",
    "                     X_feature_train=X_train_over, \n",
    "                     X_feature_test=X_test, ## ✅ 테스트 데이터는 그대로 사용\n",
    "                     Y_feature_train=y_train_over, \n",
    "                     Y_feature_test=y_test ## ✅ 테스트 데이터는 그대로 사용\n",
    "                     )"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 로그변환 적용 + V14 이상치 제거 + SMOTE 성능 비교\n",
    "##### 로지스틱 회귀모델 \n",
    "- 원본데이터  .  .  .  .  .  .  .  .  .  .  .  .  .  . .  .  . ..  . .  .  . . => 정확도: 0.9991, 정밀도: 0.8491, 재현율: 0.6081,    ⭐️F1: 0.7087, AUC:0.9536 \n",
    "- 리스케일 & 이상치 제거 & SMOTE 데이터 => 정확도: 0.9723, 정밀도: 0.0542, 재현율: 0.9247,    ⭐️F1: 0.1023, AUC:0.9737\n",
    "-----------------------\n",
    "##### LightGBM \n",
    "- 원본데이터  .  .  .  .  .  .  .  .  .  .  .  .  .  . .  .  . ..  . .  .  . . => 정확도: 0.9995, 정밀도: 0.9573, 재현율: 0.7568,    ⭐️F1: 0.8453, AUC:0.9790\n",
    "- 리스케일 & 이상치 제거 & SMOTE 데이터 => 정확도: 0.9996, 정밀도: 0.9118, 재현율: 0.8493,    ⭐️F1: 0.8794, AUC:0.9814\n",
    "\n",
    "- ✅ 로지스틱 회귀모델: 재현율은 많이 좋아졌지만, 나머지 성능은 안 좋아졌다. SMOTE를 사용한다고 해서 반드시 개선되지는 않는다.\n",
    "> - 정밀도가 너무 낮아, 사용하기 어렵다.\n",
    "- ✅ LightGBM : 재현율은 많이 좋아졌고 F1-score도 좋아졌다. 하지만 정밀도는 조금 나빠졌다. \n",
    "\n",
    "## 정리.\n",
    "\n",
    "- 불균형 데이터에 SMOTE를 적용하면 반드시 개선되는 것은 아닙니다.\n",
    "- 하지만, 불편한 비용을 감수하더라도, 재현율을 높여야하는 업무에는 재현율이 높은 모델을 사용할 수 있습니다.\n",
    "> - 신용카드 사기, 암 진단, 재난 경보 시스템 등 "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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