모델링_분류모델생성평가변수중요도.ipynb

{"nbformat":4,"nbformat_minor":0,"metadata":{"colab":{"name":"again_workspace.ipynb","provenance":[],"machine_shape":"hm"},"kernelspec":{"name":"python3","display_name":"Python 3"},"language_info":{"name":"python"},"accelerator":"TPU"},"cells":[{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"D-rz3u0dwAyP","executionInfo":{"status":"ok","timestamp":1634482534708,"user_tz":-540,"elapsed":9262,"user":{"displayName":"신인철","photoUrl":"https://lh3.googleusercontent.com/a/default-user=s64","userId":"11638434393479157475"}},"outputId":"198ab0f1-caa1-4ff5-eba1-82fc6bcc3731"},"source":["!sudo apt-get install -y fonts-nanum\n","!sudo fc-cache -fv\n","!rm ~/.cache/matplotlib -rf"],"execution_count":104,"outputs":[{"output_type":"stream","name":"stdout","text":["Reading package lists... Done\n","Building dependency tree       \n","Reading state information... Done\n","The following NEW packages will be installed:\n","  fonts-nanum\n","0 upgraded, 1 newly installed, 0 to remove and 37 not upgraded.\n","Need to get 9,604 kB of archives.\n","After this operation, 29.5 MB of additional disk space will be used.\n","Get:1 http://archive.ubuntu.com/ubuntu bionic/universe amd64 fonts-nanum all 20170925-1 [9,604 kB]\n","Fetched 9,604 kB in 1s (7,029 kB/s)\n","debconf: unable to initialize frontend: Dialog\n","debconf: (No usable dialog-like program is installed, so the dialog based frontend cannot be used. at /usr/share/perl5/Debconf/FrontEnd/Dialog.pm line 76, <> line 1.)\n","debconf: falling back to frontend: Readline\n","debconf: unable to initialize frontend: Readline\n","debconf: (This frontend requires a controlling tty.)\n","debconf: falling back to frontend: Teletype\n","dpkg-preconfigure: unable to re-open stdin: \n","Selecting previously unselected package fonts-nanum.\n","(Reading database ... 155047 files and directories currently installed.)\n","Preparing to unpack .../fonts-nanum_20170925-1_all.deb ...\n","Unpacking fonts-nanum (20170925-1) ...\n","Setting up fonts-nanum (20170925-1) ...\n","Processing triggers for fontconfig (2.12.6-0ubuntu2) ...\n","/usr/share/fonts: caching, new cache contents: 0 fonts, 1 dirs\n","/usr/share/fonts/truetype: caching, new cache contents: 0 fonts, 3 dirs\n","/usr/share/fonts/truetype/humor-sans: caching, new cache contents: 1 fonts, 0 dirs\n","/usr/share/fonts/truetype/liberation: caching, new cache contents: 16 fonts, 0 dirs\n","/usr/share/fonts/truetype/nanum: caching, new cache contents: 10 fonts, 0 dirs\n","/usr/local/share/fonts: caching, new cache contents: 0 fonts, 0 dirs\n","/root/.local/share/fonts: skipping, no such directory\n","/root/.fonts: skipping, no such directory\n","/var/cache/fontconfig: cleaning cache directory\n","/root/.cache/fontconfig: not cleaning non-existent cache directory\n","/root/.fontconfig: not cleaning non-existent cache directory\n","fc-cache: succeeded\n"]}]},{"cell_type":"code","metadata":{"id":"mgDzJXXSoMHj","colab":{"base_uri":"https://localhost:8080/","height":252},"executionInfo":{"status":"error","timestamp":1634482550830,"user_tz":-540,"elapsed":348,"user":{"displayName":"신인철","photoUrl":"https://lh3.googleusercontent.com/a/default-user=s64","userId":"11638434393479157475"}},"outputId":"a349afef-bee3-4196-af0d-db66fc0af304"},"source":["import os, sys\n","from google.colab import drive\n","drive.mount('/content/drive')\n","my_path = '/content/notebooks'\n","os.symlink('/content/drive/My Drive/Colab Notebooks', my_path)\n","sys.path.insert(0,my_path)"],"execution_count":1,"outputs":[{"output_type":"stream","name":"stdout","text":["Drive already mounted at /content/drive; to attempt to forcibly remount, call drive.mount(\"/content/drive\", force_remount=True).\n"]},{"output_type":"error","ename":"FileExistsError","evalue":"ignored","traceback":["\u001b[0;31m---------------------------------------------------------------------------\u001b[0m","\u001b[0;31mFileExistsError\u001b[0m                           Traceback (most recent call last)","\u001b[0;32m<ipython-input-1-917b5458b89a>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[1;32m      3\u001b[0m \u001b[0mdrive\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mmount\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'/content/drive'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      4\u001b[0m \u001b[0mmy_path\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m'/content/notebooks'\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 5\u001b[0;31m \u001b[0mos\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msymlink\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'/content/drive/My Drive/Colab Notebooks'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mmy_path\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      6\u001b[0m \u001b[0msys\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mpath\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0minsert\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0mmy_path\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n","\u001b[0;31mFileExistsError\u001b[0m: [Errno 17] File exists: '/content/drive/My Drive/Colab Notebooks' -> '/content/notebooks'"]}]},{"cell_type":"code","metadata":{"id":"z2fUK3DcEF85","executionInfo":{"status":"ok","timestamp":1634469882434,"user_tz":-540,"elapsed":1344,"user":{"displayName":"신인철","photoUrl":"https://lh3.googleusercontent.com/a/default-user=s64","userId":"11638434393479157475"}}},"source":["import pandas as pd\n","again_df2 = pd.read_csv('/content/drive/MyDrive/LMEMBERS 프로젝트(1차)/dataset/1015/again_dataset2.csv',encoding='cp949',index_col=0)"],"execution_count":2,"outputs":[]},{"cell_type":"code","metadata":{"id":"voocoOI8EjBZ","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1634469943545,"user_tz":-540,"elapsed":61114,"user":{"displayName":"신인철","photoUrl":"https://lh3.googleusercontent.com/a/default-user=s64","userId":"11638434393479157475"}},"outputId":"49d4a4da-7aac-457a-b38f-1a63965965c6"},"source":["ppcd_df = pd.read_csv('/content/drive/MyDrive/LMEMBERS 프로젝트(1차)/dataset/ppcd_df.csv',encoding='cp949',index_col=0)"],"execution_count":3,"outputs":[{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.7/dist-packages/numpy/lib/arraysetops.py:580: FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison\n","  mask |= (ar1 == a)\n"]}]},{"cell_type":"code","metadata":{"id":"YAAuuGUcFEwt","executionInfo":{"status":"ok","timestamp":1634469949585,"user_tz":-540,"elapsed":6052,"user":{"displayName":"신인철","photoUrl":"https://lh3.googleusercontent.com/a/default-user=s64","userId":"11638434393479157475"}}},"source":["ppcd_df_15_q = ppcd_df[ppcd_df['구매일자'] > 20150000]\n","ppcd_df_14_q = ppcd_df[ppcd_df['구매일자'] < 20150000]\n","\n","quter1 = ppcd_df_14_q[ppcd_df_14_q['구매일자'] < 20140700]\n","quter2 = ppcd_df_14_q[ppcd_df_14_q['구매일자'] > 20140700]\n","quter3 = ppcd_df_15_q[ppcd_df_15_q['구매일자'] < 20150700]\n","quter4 = ppcd_df_15_q[ppcd_df_15_q['구매일자'] > 20150700]"],"execution_count":4,"outputs":[]},{"cell_type":"code","metadata":{"id":"p7ByDbXSFQ7R","executionInfo":{"status":"ok","timestamp":1634469951574,"user_tz":-540,"elapsed":2009,"user":{"displayName":"신인철","photoUrl":"https://lh3.googleusercontent.com/a/default-user=s64","userId":"11638434393479157475"}}},"source":["quter1_count = quter1.groupby(['고객번호'])[['소분류코드']].count().reset_index().rename(columns={'소분류코드':'구매물품수_1'})\n","quter2_count = quter2.groupby(['고객번호'])[['소분류코드']].count().reset_index().rename(columns={'소분류코드':'구매물품수_2'})\n","quter3_count = quter3.groupby(['고객번호'])[['소분류코드']].count().reset_index().rename(columns={'소분류코드':'구매물품수_3'})\n","quter4_count = quter4.groupby(['고객번호'])[['소분류코드']].count().reset_index().rename(columns={'소분류코드':'구매물품수_4'})"],"execution_count":5,"outputs":[]},{"cell_type":"code","metadata":{"id":"q8KmUfqXGBCJ","executionInfo":{"status":"ok","timestamp":1634469951574,"user_tz":-540,"elapsed":12,"user":{"displayName":"신인철","photoUrl":"https://lh3.googleusercontent.com/a/default-user=s64","userId":"11638434393479157475"}}},"source":["count_df = quter1_count.merge(quter2_count,how='left',on='고객번호')\n","count_df = count_df.merge(quter3_count,how='left',on='고객번호')\n","count_df = count_df.merge(quter4_count,how='left',on='고객번호')"],"execution_count":6,"outputs":[]},{"cell_type":"code","metadata":{"id":"U-Yk_DzCGReG","executionInfo":{"status":"ok","timestamp":1634469951575,"user_tz":-540,"elapsed":11,"user":{"displayName":"신인철","photoUrl":"https://lh3.googleusercontent.com/a/default-user=s64","userId":"11638434393479157475"}}},"source":["count_df = count_df.fillna(0).astype(int)"],"execution_count":7,"outputs":[]},{"cell_type":"code","metadata":{"id":"EYuJxdoUGdLI","executionInfo":{"status":"ok","timestamp":1634469951575,"user_tz":-540,"elapsed":10,"user":{"displayName":"신인철","photoUrl":"https://lh3.googleusercontent.com/a/default-user=s64","userId":"11638434393479157475"}}},"source":["count_df['구매물품증감_1-2'] = count_df['구매물품수_2'] - count_df['구매물품수_1']\n","count_df['구매물품증감_1-3'] = count_df['구매물품수_3'] - count_df['구매물품수_1'] \n","count_df['구매물품증감_2-3'] = count_df['구매물품수_3'] - count_df['구매물품수_2']"],"execution_count":8,"outputs":[]},{"cell_type":"code","metadata":{"id":"hmokPyXj_6lM","executionInfo":{"status":"ok","timestamp":1634475491008,"user_tz":-540,"elapsed":349,"user":{"displayName":"신인철","photoUrl":"https://lh3.googleusercontent.com/a/default-user=s64","userId":"11638434393479157475"}}},"source":["donut_df = pd.read_csv('/content/drive/MyDrive/LMEMBERS 프로젝트(1차)/dataset/1016/donut1개_gap.csv',encoding='cp949',index_col=0)"],"execution_count":76,"outputs":[]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/","height":558},"id":"PXk4qtrqVQN9","executionInfo":{"status":"ok","timestamp":1634475514092,"user_tz":-540,"elapsed":364,"user":{"displayName":"신인철","photoUrl":"https://lh3.googleusercontent.com/a/default-user=s64","userId":"11638434393479157475"}},"outputId":"461270a3-a8cb-4806-f7fd-d1863528de95"},"source":["donut_df"],"execution_count":77,"outputs":[{"output_type":"execute_result","data":{"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>고객번호</th>\n","      <th>성별</th>\n","      <th>연령대</th>\n","      <th>구매금액_1P</th>\n","      <th>구매금액_1P_A</th>\n","      <th>구매금액_1P_B</th>\n","      <th>구매금액_1P_C</th>\n","      <th>구매금액_1P_D</th>\n","      <th>가구/가전/전자기기_1P</th>\n","      <th>기타_1P</th>\n","      <th>생활/건강_1P</th>\n","      <th>식품_1P</th>\n","      <th>의류/잡화_1P</th>\n","      <th>반려/취미/문구/도서_1P</th>\n","      <th>스포츠/레저/자동차_1P</th>\n","      <th>출산유아동_1P</th>\n","      <th>방문횟수_1P</th>\n","      <th>중분류갯수_1P</th>\n","      <th>상위10%물품_1P</th>\n","      <th>구매변동_1-2</th>\n","      <th>구매변동_1-3</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>1</td>\n","      <td>1</td>\n","      <td>5</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>2</td>\n","      <td>0</td>\n","      <td>2</td>\n","      <td>0</td>\n","      <td>1</td>\n","      <td>-2</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      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<td>0</td>\n","      <td>0</td>\n","      <td>2</td>\n","      <td>1</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>0</td>\n","    </tr>\n","    <tr>\n","      <th>19145</th>\n","      <td>19360</td>\n","      <td>0</td>\n","      <td>3</td>\n","      <td>0</td>\n","      <td>1</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>1</td>\n","      <td>3</td>\n","      <td>2</td>\n","      <td>0</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>1</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","    </tr>\n","    <tr>\n","      <th>19146</th>\n","      <td>19364</td>\n","      <td>0</td>\n","      <td>1</td>\n","      <td>2</td>\n","      <td>1</td>\n","      <td>1</td>\n","      <td>2</td>\n","      <td>0</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>4</td>\n","      <td>0</td>\n","      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4        0  ...         1           1         0         0\n","19145  19360   0    3        0  ...         1           0         0         0\n","19146  19364   0    1        2  ...         2           2         0         0\n","\n","[19147 rows x 21 columns]"]},"metadata":{},"execution_count":77}]},{"cell_type":"code","metadata":{"id":"8nIUyECmVLuC","executionInfo":{"status":"ok","timestamp":1634475538728,"user_tz":-540,"elapsed":352,"user":{"displayName":"신인철","photoUrl":"https://lh3.googleusercontent.com/a/default-user=s64","userId":"11638434393479157475"}}},"source":["sample_df = donut_df[['고객번호','구매변동_1-3']]"],"execution_count":79,"outputs":[]},{"cell_type":"code","metadata":{"id":"hH9R4NXgAVim","executionInfo":{"status":"ok","timestamp":1634482562875,"user_tz":-540,"elapsed":1200,"user":{"displayName":"신인철","photoUrl":"https://lh3.googleusercontent.com/a/default-user=s64","userId":"11638434393479157475"}}},"source":["from sklearn.ensemble import RandomForestClassifier\n","from sklearn.linear_model import LogisticRegression\n","from xgboost import XGBClassifier\n","from lightgbm import LGBMClassifier\n","from sklearn.model_selection import train_test_split\n","from sklearn.metrics import accuracy_score, precision_score, recall_score,f1_score, roc_auc_score\n","from sklearn.preprocessing import StandardScaler\n","from sklearn.model_selection import RandomizedSearchCV\n","from xgboost import plot_importance as xgb_importance\n","from lightgbm import plot_importance as lgbm_importance\n","import numpy as np\n","import seaborn as sns\n","import matplotlib.pyplot as plt\n","%matplotlib inline\n","\n","import warnings\n","\n","warnings.filterwarnings('ignore')\n","\n","def random_modeling(data,model):\n","\n","  y = data[['구매변동_1-3']]\n","  x = data.drop(['구매변동_1-3'],axis=1)\n","\n","\n","\n","  X_train, X_test, y_train, y_test = train_test_split(x,y,test_size=0.2,random_state=0)\n","\n","  rf_clf = RandomForestClassifier(random_state=0, n_jobs=-1)\n","  lr_clf = LogisticRegression(random_state=0, n_jobs=-1)\n","  xgb_clf = XGBClassifier(random_state=0, n_jobs=-1)\n","  lgbm_clf = LGBMClassifier(random_state=0, n_jobs=-1)\n","\n","  if model == 'rf':  \n","    \n","    rf_clf.fit(X_train,y_train)\n","    rf_pred = rf_clf.predict(X_test)\n","    rf_pred_proba = rf_clf.predict_proba(X_test)[:,1]\n","\n","    accuracy = accuracy_score(y_test,rf_pred)\n","    precision = precision_score(y_test,rf_pred)\n","    recall = recall_score(y_test,rf_pred)\n","    f1 = f1_score(y_test,rf_pred)\n","    roc = roc_auc_score(y_test,rf_pred_proba)\n","\n","    print(model,'정확도 : ',round(accuracy,4))\n","    print(model,'정밀도 : ',round(precision,4))\n","    print(model,'재현율 : ',round(recall,4))\n","    print(model,'f1 : ',round(f1,4))\n","    print(model,'ROC_AUC : ',round(roc,4))\n","\n","    rf_clf_params ={\n","        'n_estimators':[int(x) for x in range(1,1000,10)],\n","        'max_features':['log2','sqrt'],\n","        'max_depth':[int(i) for i in range(1, 200)],\n","        'min_samples_leaf':[20,40,60,80],\n","        'min_samples_split':[1,2,3,4,5],\n","        'bootstrap':[True, False]\n","    }\n","\n","    rf_random_cv = RandomizedSearchCV(rf_clf, param_distributions=rf_clf_params, n_iter=50, scoring='accuracy', cv=2, n_jobs=-1)\n","    rf_random_cv.fit(X_train,y_train)\n","    print('최적의 파라미터 :',rf_random_cv.best_params_)\n","    print('최고의 정확도 :',rf_random_cv.best_score_)\n","\n","    plt.rc('font',family='NanumBarunGothic')\n","    fig, ax = plt.subplots(figsize=(10, 12))\n","    sns.barplot(x=np.sort(rf_clf.feature_importances_)[::-1], y=data.drop(['구매변동_1-3'],axis=1).columns , ax=ax)\n","\n"," \n","  elif model == 'lr':\n","    \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","    accuracy = accuracy_score(y_test,lr_pred)\n","    precision = precision_score(y_test,lr_pred)\n","    recall = recall_score(y_test,lr_pred)\n","    f1 = f1_score(y_test,lr_pred)\n","    roc = roc_auc_score(y_test,lr_pred_proba)\n","\n","    print(model,'정확도 : ',round(accuracy,4))\n","    print(model,'정밀도 : ',round(precision,4))\n","    print(model,'재현율 : ',round(recall,4))\n","    print(model,'f1 : ',round(f1,4))\n","    print(model,'ROC_AUC : ',round(roc,4))\n","\n","    lr_clf_params ={\n","        'fit_intercept':[True,False],\n","        'normalize':[True,False],\n","\n","    }\n","\n","    lr_random_cv = RandomizedSearchCV(lr_clf, param_distributions=lr_clf_params, n_iter=50, scoring='accuracy', cv=2, n_jobs=-1)\n","    lr_random_cv.fit(X_train,y_train)\n","    print('최적의 파라미터 :',lr_random_cv.best_params_)\n","    print('최고의 정확도 :',lr_random_cv.best_score_)\n","\n","    plt.rc('font',family='NanumBarunGothic')\n","    fig, ax = plt.subplots(figsize=(10, 12))\n","    sns.barplot(x=np.sort(lr_clf.feature_importances_)[::-1], y=data.drop(['구매변동_1-3'],axis=1).columns , ax=ax)\n","\n","  elif model == 'xgb':\n","    \n","    evals = [(X_test,y_test)]\n","    xgb_clf.fit(X_train,y_train,early_stopping_rounds=100, eval_metric='logloss',eval_set=evals,verbose=False)\n","    xgb_pred = xgb_clf.predict(X_test)\n","    xgb_pred_proba = xgb_clf.predict_proba(X_test)[:,1]\n","\n","    accuracy = accuracy_score(y_test,xgb_pred)\n","    precision = precision_score(y_test,xgb_pred)\n","    recall = recall_score(y_test,xgb_pred)\n","    f1 = f1_score(y_test,xgb_pred)\n","    roc = roc_auc_score(y_test,xgb_pred)\n","\n","    print(model,'정확도 : ',round(accuracy,4))\n","    print(model,'정밀도 : ',round(precision,4))\n","    print(model,'재현율 : ',round(recall,4))\n","    print(model,'f1 : ',round(f1,4))\n","    print(model,'ROC_AUC : ',round(roc,4))\n","\n","    xgb_clf_params ={\n","        'n_estimators':[int(i) for i in range(1,1000,5)],\n","        'learning_rate':[0.001,0.01,0.1,1,10,100],\n","        'max_depth':[int(i) for i in range(1,100)],\n","        'min_child_samples':[int(i) for i in range(1,20)],\n","        'num_leaves':[int(i) for i in range(1,100,5)]\n","    }\n","\n","    xgb_random_cv = RandomizedSearchCV(xgb_clf, param_distributions=xgb_clf_params, scoring='accuracy', cv=2, n_jobs=-1)\n","    xgb_random_cv.fit(X_train,y_train)\n","    print('최적의 파라미터 :',xgb_random_cv.best_params_)\n","    print('최고의 정확도 :',xgb_random_cv.best_score_)\n","\n","    fig, ax = plt.subplots(figsize=(10, 12))\n","    xgb_importance(xgb_clf, ax=ax)\n","\n","  elif model == 'lgbm':\n","    \n","    evals = [(X_test,y_test)]\n","    lgbm_clf.fit(X_train,y_train,early_stopping_rounds=100, eval_metric='logloss',eval_set=evals,verbose=False)\n","    lgbm_pred = lgbm_clf.predict(X_test)\n","    lgbm_pred_proba = lgbm_clf.predict_proba(X_test)[:,1]\n","\n","    accuracy = accuracy_score(y_test,lgbm_pred)\n","    precision = precision_score(y_test,lgbm_pred)\n","    recall = recall_score(y_test,lgbm_pred)\n","    f1 = f1_score(y_test,lgbm_pred)\n","    roc = roc_auc_score(y_test,lgbm_pred_proba)\n","\n","    print(model,'정확도 : ',round(accuracy,4))\n","    print(model,'정밀도 : ',round(precision,4))\n","    print(model,'재현율 : ',round(recall,4))\n","    print(model,'f1 : ',round(f1,4))\n","    print(model,'ROC_AUC : ',round(roc,4))\n","\n","    lgbm_clf_params ={\n","        'n_estimators':[int(i) for i in range(1,1000,5)],\n","        'learning_rate':[0.001,0.01,0.1,1,10,100],\n","        'max_depth':[int(i) for i in range(1,100)],\n","        'min_child_samples':[int(i) for i in range(1,20)],\n","        'num_leaves':[int(i) for i in range(1,100,5)]\n","    }\n","\n","    lgbm_random_cv = RandomizedSearchCV(lgbm_clf, param_distributions=lgbm_clf_params, scoring='accuracy', cv=2, n_jobs=-1)\n","    lgbm_random_cv.fit(X_train,y_train)\n","    print('최적의 파라미터 :',lgbm_random_cv.best_params_)\n","    print('최고의 정확도 :',lgbm_random_cv.best_score_)\n","\n","    plt.rc('font',family='NanumBarunGothic')\n","    fig, ax = plt.subplots(figsize=(10, 12))\n","    lgbm_importance(lgbm_clf, ax=ax)\n","\n","  else :\n","    print('모델 인자 값을 확인하세요')\n","\n","  "],"execution_count":2,"outputs":[]},{"cell_type":"code","metadata":{"id":"xaATffKsXWhz","executionInfo":{"status":"ok","timestamp":1634482868124,"user_tz":-540,"elapsed":848,"user":{"displayName":"신인철","photoUrl":"https://lh3.googleusercontent.com/a/default-user=s64","userId":"11638434393479157475"}}},"source":["from sklearn.ensemble import RandomForestClassifier\n","from sklearn.linear_model import LogisticRegression\n","from xgboost import XGBClassifier\n","from lightgbm import LGBMClassifier\n","from sklearn.tree import DecisionTreeClassifier\n","from sklearn.model_selection import train_test_split\n","from sklearn.metrics import accuracy_score, precision_score, recall_score,f1_score, roc_auc_score\n","from sklearn.preprocessing import StandardScaler\n","from sklearn.model_selection import RandomizedSearchCV\n","from xgboost import plot_importance as xgb_importance\n","from lightgbm import plot_importance as lgbm_importance\n","import numpy as np\n","import seaborn as sns\n","import matplotlib.pyplot as plt\n","%matplotlib inline\n","\n","import warnings\n","\n","warnings.filterwarnings('ignore')\n","\n","def random2_modeling(data,model):\n","\n","  y = data[['구매변동_1-3']]\n","  x = data.drop(['구매변동_1-3'],axis=1)\n","\n","\n","\n","  X_train, X_test, y_train, y_test = train_test_split(x,y,test_size=0.2,random_state=0)\n","\n","  rf_clf = RandomForestClassifier(random_state=0, n_jobs=-1)\n","  dt_clf = DecisionTreeClassifier(random_state=0)\n","  lr_clf = LogisticRegression(random_state=0, n_jobs=-1)\n","  xgb_clf = XGBClassifier(random_state=0, n_jobs=-1)\n","  lgbm_clf = LGBMClassifier(random_state=0, n_jobs=-1)\n","\n","  if model == 'rf':  \n","    \n","    rf_clf.fit(X_train,y_train)\n","    rf_pred = rf_clf.predict(X_test)\n","    rf_pred_proba = rf_clf.predict_proba(X_test)[:,1]\n","\n","    accuracy = accuracy_score(y_test,rf_pred)\n","    precision = precision_score(y_test,rf_pred)\n","    recall = recall_score(y_test,rf_pred)\n","    f1 = f1_score(y_test,rf_pred)\n","    roc = roc_auc_score(y_test,rf_pred_proba)\n","\n","    print(model,'정확도 : ',round(accuracy,4))\n","    print(model,'정밀도 : ',round(precision,4))\n","    print(model,'재현율 : ',round(recall,4))\n","    print(model,'f1 : ',round(f1,4))\n","    print(model,'ROC_AUC : ',round(roc,4))\n","\n","    rf_clf_params ={\n","        'n_estimators':[int(x) for x in range(1,1000,10)],\n","        'max_features':['log2','sqrt'],\n","        'max_depth':[int(i) for i in range(1, 200)],\n","        'min_samples_leaf':[20,40,60,80],\n","        'min_samples_split':[1,2,3,4,5],\n","        'bootstrap':[True, False]\n","    }\n","\n","    rf_random_cv = RandomizedSearchCV(rf_clf, param_distributions=rf_clf_params, n_iter=50, scoring='accuracy', cv=2, n_jobs=-1)\n","    rf_random_cv.fit(X_train,y_train)\n","    print('최적의 파라미터 :',rf_random_cv.best_params_)\n","    print('최고의 정확도 :',rf_random_cv.best_score_)\n","\n","    plt.rc('font',family='NanumBarunGothic')\n","    fig, ax = plt.subplots(figsize=(10, 12))\n","    sns.barplot(x=np.sort(rf_clf.feature_importances_)[::-1], y=data.drop(['구매변동_1-3'],axis=1).columns , ax=ax)\n","\n","  elif model == 'dt':\n","    \n","    dt_clf.fit(X_train,y_train)\n","    dt_pred = dt_clf.predict(X_test)\n","    dt_pred_proba = dt_clf.predict_proba(X_test)[:,1]\n","\n","    accuracy = accuracy_score(y_test,dt_pred)\n","    precision = precision_score(y_test,dt_pred)\n","    recall = recall_score(y_test,dt_pred)\n","    f1 = f1_score(y_test,dt_pred)\n","    roc = roc_auc_score(y_test,dt_pred_proba)\n","\n","    print(model,'정확도 : ',round(accuracy,4))\n","    print(model,'정밀도 : ',round(precision,4))\n","    print(model,'재현율 : ',round(recall,4))\n","    print(model,'f1 : ',round(f1,4))\n","    print(model,'ROC_AUC : ',round(roc,4))\n","\n","    dt_clf_params ={\n","        'max_features':['log2','sqrt','auto'],\n","        'criterion':['gini', 'entropy'],\n","        'max_depth':[int(i) for i in range(1, 200)],\n","        'min_samples_leaf':[20,40,60,80],\n","        'min_samples_split':[1,2,3,4,5]\n","    }\n","\n","    dt_random_cv = RandomizedSearchCV(dt_clf, param_distributions=dt_clf_params, n_iter=50, scoring='accuracy', cv=2, n_jobs=-1)\n","    dt_random_cv.fit(X_train,y_train)\n","    print('최적의 파라미터 :',dt_random_cv.best_params_)\n","    print('최고의 정확도 :',dt_random_cv.best_score_)\n","\n","    plt.rc('font',family='NanumBarunGothic')\n","    fig, ax = plt.subplots(figsize=(10, 12))\n","    sns.barplot(x=np.sort(dt_clf.feature_importances_)[::-1], y=data.drop(['구매변동_1-3'],axis=1).columns , ax=ax)\n"," \n","  elif model == 'lr':\n","    \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","    accuracy = accuracy_score(y_test,lr_pred)\n","    precision = precision_score(y_test,lr_pred)\n","    recall = recall_score(y_test,lr_pred)\n","    f1 = f1_score(y_test,lr_pred)\n","    roc = roc_auc_score(y_test,lr_pred_proba)\n","\n","    print(model,'정확도 : ',round(accuracy,4))\n","    print(model,'정밀도 : ',round(precision,4))\n","    print(model,'재현율 : ',round(recall,4))\n","    print(model,'f1 : ',round(f1,4))\n","    print(model,'ROC_AUC : ',round(roc,4))\n","\n","    lr_clf_params ={\n","        'fit_intercept':[True,False],\n","        'normalize':[True,False],\n","\n","    }\n","\n","    lr_random_cv = RandomizedSearchCV(lr_clf, param_distributions=lr_clf_params, n_iter=50, scoring='accuracy', cv=2, n_jobs=-1)\n","    lr_random_cv.fit(X_train,y_train)\n","    print('최적의 파라미터 :',lr_random_cv.best_params_)\n","    print('최고의 정확도 :',lr_random_cv.best_score_)\n","\n","    plt.rc('font',family='NanumBarunGothic')\n","    fig, ax = plt.subplots(figsize=(10, 12))\n","    sns.barplot(x=np.sort(lr_clf.feature_importances_)[::-1], y=data.drop(['구매변동_1-3'],axis=1).columns , ax=ax)\n","\n","  elif model == 'xgb':\n","    \n","    evals = [(X_test,y_test)]\n","    xgb_clf.fit(X_train,y_train,early_stopping_rounds=100, eval_metric='logloss',eval_set=evals,verbose=False)\n","    xgb_pred = xgb_clf.predict(X_test)\n","    xgb_pred_proba = xgb_clf.predict_proba(X_test)[:,1]\n","\n","    accuracy = accuracy_score(y_test,xgb_pred)\n","    precision = precision_score(y_test,xgb_pred)\n","    recall = recall_score(y_test,xgb_pred)\n","    f1 = f1_score(y_test,xgb_pred)\n","    roc = roc_auc_score(y_test,xgb_pred)\n","\n","    print(model,'정확도 : ',round(accuracy,4))\n","    print(model,'정밀도 : ',round(precision,4))\n","    print(model,'재현율 : ',round(recall,4))\n","    print(model,'f1 : ',round(f1,4))\n","    print(model,'ROC_AUC : ',round(roc,4))\n","\n","    xgb_clf_params ={\n","        'n_estimators':[int(i) for i in range(1,1000,5)],\n","        'learning_rate':[0.001,0.01,0.1,1,10,100],\n","        'max_depth':[int(i) for i in range(1,100)],\n","        'min_child_samples':[int(i) for i in range(1,20)],\n","        'num_leaves':[int(i) for i in range(1,100,5)]\n","    }\n","\n","    xgb_random_cv = RandomizedSearchCV(xgb_clf, param_distributions=xgb_clf_params, scoring='accuracy', cv=2, n_jobs=-1)\n","    xgb_random_cv.fit(X_train,y_train)\n","    print('최적의 파라미터 :',xgb_random_cv.best_params_)\n","    print('최고의 정확도 :',xgb_random_cv.best_score_)\n","\n","    fig, ax = plt.subplots(figsize=(10, 12))\n","    xgb_importance(xgb_clf, ax=ax)\n","\n","  elif model == 'lgbm':\n","    \n","    evals = [(X_test,y_test)]\n","    lgbm_clf.fit(X_train,y_train,early_stopping_rounds=100, eval_metric='logloss',eval_set=evals,verbose=False)\n","    lgbm_pred = lgbm_clf.predict(X_test)\n","    lgbm_pred_proba = lgbm_clf.predict_proba(X_test)[:,1]\n","\n","    accuracy = accuracy_score(y_test,lgbm_pred)\n","    precision = precision_score(y_test,lgbm_pred)\n","    recall = recall_score(y_test,lgbm_pred)\n","    f1 = f1_score(y_test,lgbm_pred)\n","    roc = roc_auc_score(y_test,lgbm_pred_proba)\n","\n","    print(model,'정확도 : ',round(accuracy,4))\n","    print(model,'정밀도 : ',round(precision,4))\n","    print(model,'재현율 : ',round(recall,4))\n","    print(model,'f1 : ',round(f1,4))\n","    print(model,'ROC_AUC : ',round(roc,4))\n","\n","    lgbm_clf_params ={\n","        'n_estimators':[int(i) for i in range(1,1000,5)],\n","        'learning_rate':[0.001,0.01,0.1,1,10,100],\n","        'max_depth':[int(i) for i in range(1,100)],\n","        'min_child_samples':[int(i) for i in range(1,20)],\n","        'num_leaves':[int(i) for i in range(1,100,5)]\n","    }\n","\n","    lgbm_random_cv = RandomizedSearchCV(lgbm_clf, param_distributions=lgbm_clf_params, scoring='accuracy', cv=2, n_jobs=-1)\n","    lgbm_random_cv.fit(X_train,y_train)\n","    print('최적의 파라미터 :',lgbm_random_cv.best_params_)\n","    print('최고의 정확도 :',lgbm_random_cv.best_score_)\n","\n","    plt.rc('font',family='NanumBarunGothic')\n","    fig, ax = plt.subplots(figsize=(10, 12))\n","    lgbm_importance(lgbm_clf, ax=ax)\n","\n","  else :\n","    print('모델 인자 값을 확인하세요')"],"execution_count":11,"outputs":[]},{"cell_type":"code","metadata":{"id":"pETrAC86Gyds","executionInfo":{"status":"ok","timestamp":1634482591489,"user_tz":-540,"elapsed":4,"user":{"displayName":"신인철","photoUrl":"https://lh3.googleusercontent.com/a/default-user=s64","userId":"11638434393479157475"}}},"source":["import pandas as pd\n","again_df3 = pd.read_csv('/content/drive/MyDrive/LMEMBERS 프로젝트(1차)/dataset/1015/again_dataset3.csv',encoding='cp949',index_col=0)"],"execution_count":6,"outputs":[]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/","height":334},"id":"gW-DYNY9JUqg","executionInfo":{"status":"ok","timestamp":1634474221941,"user_tz":-540,"elapsed":548,"user":{"displayName":"신인철","photoUrl":"https://lh3.googleusercontent.com/a/default-user=s64","userId":"11638434393479157475"}},"outputId":"2bb0abf6-6dd6-4336-8bb7-ec359f589153"},"source":["again_df3.describe()"],"execution_count":57,"outputs":[{"output_type":"execute_result","data":{"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>고객번호</th>\n","      <th>성별</th>\n","      <th>연령대</th>\n","      <th>구매금액_1</th>\n","      <th>구매금액_2</th>\n","      <th>구매금액_3</th>\n","      <th>구매금액_4</th>\n","      <th>구매금액_A_1</th>\n","      <th>구매금액_B_1</th>\n","      <th>구매금액_C_1</th>\n","      <th>구매금액_D_1</th>\n","      <th>구매금액_A_2</th>\n","      <th>구매금액_B_2</th>\n","      <th>구매금액_C_2</th>\n","      <th>구매금액_D_2</th>\n","      <th>구매금액_A_3</th>\n","      <th>구매금액_B_3</th>\n","      <th>구매금액_C_3</th>\n","      <th>구매금액_D_3</th>\n","      <th>구매금액_A_4</th>\n","      <th>구매금액_B_4</th>\n","      <th>구매금액_C_4</th>\n","      <th>구매금액_D_4</th>\n","      <th>식품_1</th>\n","      <th>식품_2</th>\n","      <th>식품_3</th>\n","      <th>식품_4</th>\n","      <th>의류/잡화_1</th>\n","      <th>의류/잡화_2</th>\n","      <th>의류/잡화_3</th>\n","      <th>의류/잡화_4</th>\n","      <th>생활/건강_1</th>\n","      <th>생활/건강_2</th>\n","      <th>생활/건강_3</th>\n","      <th>생활/건강_4</th>\n","      <th>가구/가전/전자기기_1</th>\n","      <th>가구/가전/전자기기_2</th>\n","      <th>가구/가전/전자기기_3</th>\n","      <th>가구/가전/전자기기_4</th>\n","      <th>스포츠/레저/자동차_1</th>\n","      <th>스포츠/레저/자동차_2</th>\n","      <th>스포츠/레저/자동차_3</th>\n","      <th>스포츠/레저/자동차_4</th>\n","      <th>반려/취미/문구/도서_1</th>\n","      <th>반려/취미/문구/도서_2</th>\n","      <th>반려/취미/문구/도서_3</th>\n","      <th>반려/취미/문구/도서_4</th>\n","      <th>출산유아동_1</th>\n","      <th>출산유아동_2</th>\n","      <th>출산유아동_3</th>\n","      <th>출산유아동_4</th>\n","      <th>기타_1</th>\n","      <th>기타_2</th>\n","      <th>기타_3</th>\n","      <th>기타_4</th>\n","      <th>방문횟수_1</th>\n","      <th>방문횟수_2</th>\n","      <th>방문횟수_3</th>\n","      <th>방문횟수_4</th>\n","      <th>중분류갯수_1</th>\n","      <th>중분류갯수_2</th>\n","      <th>중분류갯수_3</th>\n","      <th>중분류갯수_4</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>count</th>\n","      <td>19147.000000</td>\n","      <td>19147.000000</td>\n","      <td>19147.000000</td>\n","      <td>19147.000000</td>\n","      <td>19147.000000</td>\n","      <td>19147.000000</td>\n","      <td>19147.000000</td>\n","      <td>19147.000000</td>\n","      <td>19147.000000</td>\n","      <td>19147.000000</td>\n","      <td>19147.000000</td>\n","      <td>19147.000000</td>\n","      <td>19147.000000</td>\n","      <td>19147.000000</td>\n","      <td>19147.000000</td>\n","      <td>19147.000000</td>\n","      <td>19147.000000</td>\n","      <td>19147.000000</td>\n","      <td>19147.000000</td>\n","      <td>19147.000000</td>\n","      <td>19147.000000</td>\n","      <td>19147.000000</td>\n","      <td>19147.000000</td>\n","      <td>19147.000000</td>\n","      <td>19147.000000</td>\n","      <td>19147.000000</td>\n","      <td>19147.000000</td>\n","      <td>19147.000000</td>\n","      <td>19147.000000</td>\n","      <td>19147.000000</td>\n","      <td>19147.000000</td>\n","      <td>19147.000000</td>\n","      <td>19147.000000</td>\n","      <td>19147.000000</td>\n","      <td>19147.000000</td>\n","      <td>19147.000000</td>\n","      <td>19147.000000</td>\n","      <td>19147.000000</td>\n","      <td>19147.000000</td>\n","      <td>19147.000000</td>\n","      <td>19147.000000</td>\n","      <td>19147.000000</td>\n","      <td>19147.000000</td>\n","      <td>19147.000000</td>\n","      <td>19147.000000</td>\n","      <td>19147.000000</td>\n","      <td>19147.000000</td>\n","      <td>19147.000000</td>\n","      <td>19147.000000</td>\n","      <td>19147.000000</td>\n","      <td>19147.000000</td>\n","      <td>19147.000000</td>\n","      <td>19147.000000</td>\n","      <td>19147.000000</td>\n","      <td>19147.000000</td>\n","      <td>19147.000000</td>\n","      <td>19147.000000</td>\n","      <td>19147.000000</td>\n","      <td>19147.000000</td>\n","      <td>19147.000000</td>\n","      <td>19147.000000</td>\n","      <td>19147.000000</td>\n","      <td>19147.000000</td>\n","    </tr>\n","    <tr>\n","      <th>mean</th>\n","      <td>9631.673891</td>\n","      <td>0.178252</td>\n","      <td>3.062673</td>\n","      <td>9573.998485</td>\n","      <td>9573.998799</td>\n","      <td>9573.999112</td>\n","      <td>9573.999373</td>\n","      <td>9223.509897</td>\n","      <td>9161.014206</td>\n","      <td>8064.902543</td>\n","      <td>803.386588</td>\n","      <td>9297.527968</td>\n","      <td>9256.692119</td>\n","      <td>8155.941192</td>\n","      <td>1094.740116</td>\n","      <td>9336.255863</td>\n","      <td>9275.860239</td>\n","      <td>8164.433227</td>\n","      <td>1708.952630</td>\n","      <td>9336.302293</td>\n","      <td>9280.408524</td>\n","      <td>8218.716144</td>\n","      <td>2252.866141</td>\n","      <td>9573.911527</td>\n","      <td>9573.973573</td>\n","      <td>9573.952525</td>\n","      <td>9573.931321</td>\n","      <td>9505.781637</td>\n","      <td>9554.894866</td>\n","      <td>9519.234084</td>\n","      <td>9520.503995</td>\n","      <td>9569.944639</td>\n","      <td>9572.940356</td>\n","      <td>9571.415888</td>\n","      <td>9570.509427</td>\n","      <td>7811.953465</td>\n","      <td>8937.889330</td>\n","      <td>8032.814697</td>\n","      <td>8039.406643</td>\n","      <td>9070.897686</td>\n","      <td>9375.685068</td>\n","      <td>9014.131927</td>\n","      <td>9021.718389</td>\n","      <td>7135.539615</td>\n","      <td>8144.524521</td>\n","      <td>7294.842586</td>\n","      <td>7144.640205</td>\n","      <td>6715.055727</td>\n","      <td>7822.266256</td>\n","      <td>6643.503108</td>\n","      <td>6508.217684</td>\n","      <td>9510.401995</td>\n","      <td>9557.829373</td>\n","      <td>9535.967880</td>\n","      <td>9530.873087</td>\n","      <td>9559.072283</td>\n","      <td>9559.128950</td>\n","      <td>9559.757508</td>\n","      <td>9559.836267</td>\n","      <td>9288.965216</td>\n","      <td>9300.806758</td>\n","      <td>9285.566825</td>\n","      <td>9285.357967</td>\n","    </tr>\n","    <tr>\n","      <th>std</th>\n","      <td>5572.190726</td>\n","      <td>0.382735</td>\n","      <td>0.970332</td>\n","      <td>5527.407982</td>\n","      <td>5527.408197</td>\n","      <td>5527.407306</td>\n","      <td>5527.407568</td>\n","      <td>6023.449548</td>\n","      <td>6098.670285</td>\n","      <td>7036.993888</td>\n","      <td>3793.763007</td>\n","      <td>5930.228227</td>\n","      <td>5982.413491</td>\n","      <td>6980.246619</td>\n","      <td>4374.335331</td>\n","      <td>5879.390816</td>\n","      <td>5958.172535</td>\n","      <td>6974.817267</td>\n","      <td>5317.702292</td>\n","      <td>5879.348203</td>\n","      <td>5952.364154</td>\n","      <td>6939.264732</td>\n","      <td>5949.492667</td>\n","      <td>5527.553728</td>\n","      <td>5527.445856</td>\n","      <td>5527.483362</td>\n","      <td>5527.520360</td>\n","      <td>5637.169103</td>\n","      <td>5559.183186</td>\n","      <td>5616.316779</td>\n","      <td>5614.323314</td>\n","      <td>5534.111350</td>\n","      <td>5529.028200</td>\n","      <td>5531.626110</td>\n","      <td>5533.172019</td>\n","      <td>7177.335862</td>\n","      <td>6340.324104</td>\n","      <td>7054.756080</td>\n","      <td>7050.969823</td>\n","      <td>6201.092244</td>\n","      <td>5825.652960</td>\n","      <td>6262.883382</td>\n","      <td>6254.855890</td>\n","      <td>7454.755273</td>\n","      <td>6985.985630</td>\n","      <td>7402.002383</td>\n","      <td>7451.984106</td>\n","      <td>7561.040642</td>\n","      <td>7172.525043</td>\n","      <td>7574.343290</td>\n","      <td>7596.152449</td>\n","      <td>5629.875380</td>\n","      <td>5554.229637</td>\n","      <td>5589.732373</td>\n","      <td>5597.838153</td>\n","      <td>5531.474898</td>\n","      <td>5531.541931</td>\n","      <td>5531.503254</td>\n","      <td>5531.250132</td>\n","      <td>5513.761407</td>\n","      <td>5519.835536</td>\n","      <td>5520.006026</td>\n","      <td>5515.724206</td>\n","    </tr>\n","    <tr>\n","      <th>min</th>\n","      <td>1.000000</td>\n","      <td>0.000000</td>\n","      <td>0.000000</td>\n","      <td>1.000000</td>\n","      <td>1.000000</td>\n","      <td>1.000000</td>\n","      <td>1.000000</td>\n","      <td>1.000000</td>\n","      <td>1.000000</td>\n","      <td>1.000000</td>\n","      <td>1.000000</td>\n","      <td>1.000000</td>\n","      <td>1.000000</td>\n","      <td>1.000000</td>\n","      <td>1.000000</td>\n","      <td>1.000000</td>\n","      <td>1.000000</td>\n","      <td>1.000000</td>\n","      <td>1.000000</td>\n","      <td>1.000000</td>\n","      <td>1.000000</td>\n","      <td>1.000000</td>\n","      <td>1.000000</td>\n","      <td>1.000000</td>\n","      <td>1.000000</td>\n","      <td>1.000000</td>\n","      <td>1.000000</td>\n","      <td>1.000000</td>\n","      <td>1.000000</td>\n","      <td>1.000000</td>\n","      <td>1.000000</td>\n","      <td>1.000000</td>\n","      <td>1.000000</td>\n","      <td>1.000000</td>\n","      <td>1.000000</td>\n","      <td>1.000000</td>\n","      <td>1.000000</td>\n","      <td>1.000000</td>\n","      <td>1.000000</td>\n","      <td>1.000000</td>\n","      <td>1.000000</td>\n","      <td>1.000000</td>\n","      <td>1.000000</td>\n","      <td>1.000000</td>\n","      <td>1.000000</td>\n","      <td>1.000000</td>\n","      <td>1.000000</td>\n","      <td>1.000000</td>\n","      <td>1.000000</td>\n","      <td>1.000000</td>\n","      <td>1.000000</td>\n","      <td>1.000000</td>\n","      <td>1.000000</td>\n","      <td>1.000000</td>\n","      <td>1.000000</td>\n","      <td>1.000000</td>\n","      <td>1.000000</td>\n","      <td>1.000000</td>\n","      <td>1.000000</td>\n","      <td>1.000000</td>\n","      <td>1.000000</td>\n","      <td>1.000000</td>\n","      <td>1.000000</td>\n","    </tr>\n","    <tr>\n","      <th>25%</th>\n","      <td>4810.500000</td>\n","      <td>0.000000</td>\n","      <td>2.000000</td>\n","      <td>4787.500000</td>\n","      <td>4787.500000</td>\n","      <td>4787.500000</td>\n","      <td>4787.500000</td>\n","      <td>4787.500000</td>\n","      <td>4787.500000</td>\n","      <td>1.000000</td>\n","      <td>1.000000</td>\n","      <td>4785.500000</td>\n","      <td>4787.500000</td>\n","      <td>1.000000</td>\n","      <td>1.000000</td>\n","      <td>4787.000000</td>\n","      <td>4787.000000</td>\n","      <td>1.000000</td>\n","      <td>1.000000</td>\n","      <td>4787.500000</td>\n","      <td>4787.500000</td>\n","      <td>1.000000</td>\n","      <td>1.000000</td>\n","      <td>4787.500000</td>\n","      <td>4787.500000</td>\n","      <td>4787.500000</td>\n","      <td>4787.500000</td>\n","      <td>4787.000000</td>\n","      <td>4787.000000</td>\n","      <td>4787.000000</td>\n","      <td>4787.500000</td>\n","      <td>4787.500000</td>\n","      <td>4787.500000</td>\n","      <td>4787.500000</td>\n","      <td>4787.500000</td>\n","      <td>1.000000</td>\n","      <td>1.000000</td>\n","      <td>1.000000</td>\n","      <td>1.000000</td>\n","      <td>4785.500000</td>\n","      <td>4787.500000</td>\n","      <td>4767.000000</td>\n","      <td>4786.500000</td>\n","      <td>1.000000</td>\n","      <td>1.000000</td>\n","      <td>1.000000</td>\n","      <td>1.000000</td>\n","      <td>1.000000</td>\n","      <td>1.000000</td>\n","      <td>1.000000</td>\n","      <td>1.000000</td>\n","      <td>4787.000000</td>\n","      <td>4787.000000</td>\n","      <td>4787.000000</td>\n","      <td>4785.000000</td>\n","      <td>4764.000000</td>\n","      <td>4770.000000</td>\n","      <td>4749.000000</td>\n","      <td>4770.000000</td>\n","      <td>4445.000000</td>\n","      <td>4684.000000</td>\n","      <td>4762.000000</td>\n","      <td>4298.000000</td>\n","    </tr>\n","    <tr>\n","      <th>50%</th>\n","      <td>9614.000000</td>\n","      <td>0.000000</td>\n","      <td>3.000000</td>\n","      <td>9574.000000</td>\n","      <td>9574.000000</td>\n","      <td>9574.000000</td>\n","      <td>9574.000000</td>\n","      <td>9574.000000</td>\n","      <td>9574.000000</td>\n","      <td>9574.000000</td>\n","      <td>1.000000</td>\n","      <td>9574.000000</td>\n","      <td>9574.000000</td>\n","      <td>9573.000000</td>\n","      <td>1.000000</td>\n","      <td>9574.000000</td>\n","      <td>9574.000000</td>\n","      <td>9573.000000</td>\n","      <td>1.000000</td>\n","      <td>9574.000000</td>\n","      <td>9574.000000</td>\n","      <td>9574.000000</td>\n","      <td>1.000000</td>\n","      <td>9574.000000</td>\n","      <td>9574.000000</td>\n","      <td>9574.000000</td>\n","      <td>9574.000000</td>\n","      <td>9574.000000</td>\n","      <td>9574.000000</td>\n","      <td>9574.000000</td>\n","      <td>9574.000000</td>\n","      <td>9574.000000</td>\n","      <td>9574.000000</td>\n","      <td>9574.000000</td>\n","      <td>9574.000000</td>\n","      <td>9570.000000</td>\n","      <td>9571.000000</td>\n","      <td>9543.000000</td>\n","      <td>9571.000000</td>\n","      <td>9573.000000</td>\n","      <td>9571.000000</td>\n","      <td>9574.000000</td>\n","      <td>9574.000000</td>\n","      <td>1.000000</td>\n","      <td>9574.000000</td>\n","      <td>9574.000000</td>\n","      <td>1.000000</td>\n","      <td>1.000000</td>\n","      <td>9571.000000</td>\n","      <td>1.000000</td>\n","      <td>1.000000</td>\n","      <td>9572.000000</td>\n","      <td>9574.000000</td>\n","      <td>9574.000000</td>\n","      <td>9574.000000</td>\n","      <td>9540.000000</td>\n","      <td>9545.000000</td>\n","      <td>9560.000000</td>\n","      <td>9557.000000</td>\n","      <td>9297.000000</td>\n","      <td>8947.000000</td>\n","      <td>9318.000000</td>\n","      <td>9364.000000</td>\n","    </tr>\n","    <tr>\n","      <th>75%</th>\n","      <td>14441.500000</td>\n","      <td>0.000000</td>\n","      <td>4.000000</td>\n","      <td>14360.500000</td>\n","      <td>14360.500000</td>\n","      <td>14360.500000</td>\n","      <td>14360.500000</td>\n","      <td>14360.500000</td>\n","      <td>14360.500000</td>\n","      <td>14360.500000</td>\n","      <td>1.000000</td>\n","      <td>14360.500000</td>\n","      <td>14360.500000</td>\n","      <td>14360.500000</td>\n","      <td>1.000000</td>\n","      <td>14360.500000</td>\n","      <td>14360.500000</td>\n","      <td>14360.500000</td>\n","      <td>1.000000</td>\n","      <td>14360.500000</td>\n","      <td>14360.500000</td>\n","      <td>14360.500000</td>\n","      <td>1.000000</td>\n","      <td>14360.500000</td>\n","      <td>14360.500000</td>\n","      <td>14360.500000</td>\n","      <td>14360.500000</td>\n","      <td>14360.500000</td>\n","      <td>14360.500000</td>\n","      <td>14360.500000</td>\n","      <td>14360.500000</td>\n","      <td>14360.500000</td>\n","      <td>14360.500000</td>\n","      <td>14360.500000</td>\n","      <td>14360.500000</td>\n","      <td>14360.500000</td>\n","      <td>14360.000000</td>\n","      <td>14360.500000</td>\n","      <td>14360.500000</td>\n","      <td>14360.500000</td>\n","      <td>14360.500000</td>\n","      <td>14360.000000</td>\n","      <td>14360.000000</td>\n","      <td>14359.500000</td>\n","      <td>14360.000000</td>\n","      <td>14360.500000</td>\n","      <td>14360.000000</td>\n","      <td>14360.500000</td>\n","      <td>14360.500000</td>\n","      <td>14360.000000</td>\n","      <td>14360.500000</td>\n","      <td>14360.500000</td>\n","      <td>14360.500000</td>\n","      <td>14360.500000</td>\n","      <td>14360.500000</td>\n","      <td>14351.000000</td>\n","      <td>14341.000000</td>\n","      <td>14360.000000</td>\n","      <td>14347.000000</td>\n","      <td>13730.000000</td>\n","      <td>14348.000000</td>\n","      <td>14290.000000</td>\n","      <td>13773.000000</td>\n","    </tr>\n","    <tr>\n","      <th>max</th>\n","      <td>19364.000000</td>\n","      <td>1.000000</td>\n","      <td>5.000000</td>\n","      <td>19147.000000</td>\n","      <td>19147.000000</td>\n","      <td>19147.000000</td>\n","      <td>19147.000000</td>\n","      <td>19147.000000</td>\n","      <td>19147.000000</td>\n","      <td>19147.000000</td>\n","      <td>19147.000000</td>\n","      <td>19147.000000</td>\n","      <td>19147.000000</td>\n","      <td>19147.000000</td>\n","      <td>19147.000000</td>\n","      <td>19147.000000</td>\n","      <td>19147.000000</td>\n","      <td>19147.000000</td>\n","      <td>19147.000000</td>\n","      <td>19147.000000</td>\n","      <td>19147.000000</td>\n","      <td>19147.000000</td>\n","      <td>19147.000000</td>\n","      <td>19147.000000</td>\n","      <td>19147.000000</td>\n","      <td>19147.000000</td>\n","      <td>19147.000000</td>\n","      <td>19147.000000</td>\n","      <td>19147.000000</td>\n","      <td>19147.000000</td>\n","      <td>19147.000000</td>\n","      <td>19147.000000</td>\n","      <td>19147.000000</td>\n","      <td>19147.000000</td>\n","      <td>19147.000000</td>\n","      <td>19147.000000</td>\n","      <td>19147.000000</td>\n","      <td>19147.000000</td>\n","      <td>19147.000000</td>\n","      <td>19147.000000</td>\n","      <td>19147.000000</td>\n","      <td>19147.000000</td>\n","      <td>19147.000000</td>\n","      <td>19147.000000</td>\n","      <td>19147.000000</td>\n","      <td>19147.000000</td>\n","      <td>19147.000000</td>\n","      <td>19147.000000</td>\n","      <td>19147.000000</td>\n","      <td>19147.000000</td>\n","      <td>19147.000000</td>\n","      <td>19147.000000</td>\n","      <td>19147.000000</td>\n","      <td>19147.000000</td>\n","      <td>19147.000000</td>\n","      <td>19147.000000</td>\n","      <td>19147.000000</td>\n","      <td>19147.000000</td>\n","      <td>19147.000000</td>\n","      <td>19147.000000</td>\n","      <td>19147.000000</td>\n","      <td>19147.000000</td>\n","      <td>19146.000000</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["               고객번호            성별  ...       중분류갯수_3       중분류갯수_4\n","count  19147.000000  19147.000000  ...  19147.000000  19147.000000\n","mean    9631.673891      0.178252  ...   9285.566825   9285.357967\n","std     5572.190726      0.382735  ...   5520.006026   5515.724206\n","min        1.000000      0.000000  ...      1.000000      1.000000\n","25%     4810.500000      0.000000  ...   4762.000000   4298.000000\n","50%     9614.000000      0.000000  ...   9318.000000   9364.000000\n","75%    14441.500000      0.000000  ...  14290.000000  13773.000000\n","max    19364.000000      1.000000  ...  19147.000000  19146.000000\n","\n","[8 rows x 63 columns]"]},"metadata":{},"execution_count":57}]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"GdIwHMJqMSwy","executionInfo":{"status":"ok","timestamp":1634474225334,"user_tz":-540,"elapsed":350,"user":{"displayName":"신인철","photoUrl":"https://lh3.googleusercontent.com/a/default-user=s64","userId":"11638434393479157475"}},"outputId":"167a5196-9b97-493a-a042-30c2e0f28136"},"source":["again_df3.columns"],"execution_count":58,"outputs":[{"output_type":"execute_result","data":{"text/plain":["Index(['고객번호', '성별', '연령대', '구매금액_1', '구매금액_2', '구매금액_3', '구매금액_4', '구매금액_A_1',\n","       '구매금액_B_1', '구매금액_C_1', '구매금액_D_1', '구매금액_A_2', '구매금액_B_2', '구매금액_C_2',\n","       '구매금액_D_2', '구매금액_A_3', '구매금액_B_3', '구매금액_C_3', '구매금액_D_3', '구매금액_A_4',\n","       '구매금액_B_4', '구매금액_C_4', '구매금액_D_4', '식품_1', '식품_2', '식품_3', '식품_4',\n","       '의류/잡화_1', '의류/잡화_2', '의류/잡화_3', '의류/잡화_4', '생활/건강_1', '생활/건강_2',\n","       '생활/건강_3', '생활/건강_4', '가구/가전/전자기기_1', '가구/가전/전자기기_2', '가구/가전/전자기기_3',\n","       '가구/가전/전자기기_4', '스포츠/레저/자동차_1', '스포츠/레저/자동차_2', '스포츠/레저/자동차_3',\n","       '스포츠/레저/자동차_4', '반려/취미/문구/도서_1', '반려/취미/문구/도서_2', '반려/취미/문구/도서_3',\n","       '반려/취미/문구/도서_4', '출산유아동_1', '출산유아동_2', '출산유아동_3', '출산유아동_4', '기타_1',\n","       '기타_2', '기타_3', '기타_4', '방문횟수_1', '방문횟수_2', '방문횟수_3', '방문횟수_4',\n","       '중분류갯수_1', '중분류갯수_2', '중분류갯수_3', '중분류갯수_4'],\n","      dtype='object')"]},"metadata":{},"execution_count":58}]},{"cell_type":"code","metadata":{"id":"mNagvRhCMWvL","executionInfo":{"status":"ok","timestamp":1634482601998,"user_tz":-540,"elapsed":433,"user":{"displayName":"신인철","photoUrl":"https://lh3.googleusercontent.com/a/default-user=s64","userId":"11638434393479157475"}}},"source":["again_li = ['구매금액_1', '구매금액_2', '구매금액_3', '구매금액_4', '구매금액_A_1',\n","       '구매금액_B_1', '구매금액_C_1', '구매금액_D_1', '구매금액_A_2', '구매금액_B_2', '구매금액_C_2',\n","       '구매금액_D_2', '구매금액_A_3', '구매금액_B_3', '구매금액_C_3', '구매금액_D_3', '구매금액_A_4',\n","       '구매금액_B_4', '구매금액_C_4', '구매금액_D_4', '식품_1', '식품_2', '식품_3', '식품_4',\n","       '의류/잡화_1', '의류/잡화_2', '의류/잡화_3', '의류/잡화_4', '생활/건강_1', '생활/건강_2',\n","       '생활/건강_3', '생활/건강_4', '가구/가전/전자기기_1', '가구/가전/전자기기_2', '가구/가전/전자기기_3',\n","       '가구/가전/전자기기_4', '스포츠/레저/자동차_1', '스포츠/레저/자동차_2', '스포츠/레저/자동차_3',\n","       '스포츠/레저/자동차_4', '반려/취미/문구/도서_1', '반려/취미/문구/도서_2', '반려/취미/문구/도서_3',\n","       '반려/취미/문구/도서_4', '출산유아동_1', '출산유아동_2', '출산유아동_3', '출산유아동_4', '기타_1',\n","       '기타_2', '기타_3', '기타_4', '방문횟수_1', '방문횟수_2', '방문횟수_3', '방문횟수_4',\n","       '중분류갯수_1', '중분류갯수_2', '중분류갯수_3', '중분류갯수_4']"],"execution_count":7,"outputs":[]},{"cell_type":"code","metadata":{"id":"STNdZ3EENFI1","executionInfo":{"status":"ok","timestamp":1634473942645,"user_tz":-540,"elapsed":335,"user":{"displayName":"신인철","photoUrl":"https://lh3.googleusercontent.com/a/default-user=s64","userId":"11638434393479157475"}}},"source":["def classy(data,p20,p40,p60,p80):\n","  if data <= p20:\n","    result = 0\n","  elif (p20 < data) & (data <= p40):\n","    result = 1\n","  elif (p40 < data) & (data <= p60):\n","    result = 2\n","  elif (p60 < data) & (data <= p80):\n","    result = 3\n","  elif p80 < data:\n","    result = 4\n","  return result"],"execution_count":51,"outputs":[]},{"cell_type":"code","metadata":{"id":"G4w-AAgNHDTH","executionInfo":{"status":"ok","timestamp":1634474234735,"user_tz":-540,"elapsed":2770,"user":{"displayName":"신인철","photoUrl":"https://lh3.googleusercontent.com/a/default-user=s64","userId":"11638434393479157475"}}},"source":["for i in again_li:\n","  p20 = again_df3[f'{i}'].describe(percentiles=[0,0.2,0.4,0.6,0.8,1])['20%']\n","  p40 = again_df3[f'{i}'].describe(percentiles=[0,0.2,0.4,0.6,0.8,1])['40%']\n","  p60 = again_df3[f'{i}'].describe(percentiles=[0,0.2,0.4,0.6,0.8,1])['60%']\n","  p80 = again_df3[f'{i}'].describe(percentiles=[0,0.2,0.4,0.6,0.8,1])['80%']\n","\n","  again_df3[f'{i}'] = again_df3[f'{i}'].apply(lambda x : classy(x,p20,p40,p60,p80))"],"execution_count":60,"outputs":[]},{"cell_type":"code","metadata":{"id":"-mPYWSRbab1v","executionInfo":{"status":"ok","timestamp":1634476916604,"user_tz":-540,"elapsed":341,"user":{"displayName":"신인철","photoUrl":"https://lh3.googleusercontent.com/a/default-user=s64","userId":"11638434393479157475"}}},"source":["again_pli = ['구매금액_1-2', '구매금액_A_1-2',\n","       '구매금액_B_1-2', '구매금액_C_1-2', '구매금액_D_1-2', '식품_1-2', '의류/잡화_1-2',\n","       '생활/건강_1-2', '가구/가전/전자기기_1-2', '스포츠/레저/자동차_1-2', '반려/취미/문구/도서_1-2',\n","       '출산유아동_1-2', '기타_1-2', '방문횟수_1-2', '중분류갯수_1-2', '구매금액_1-3']"],"execution_count":98,"outputs":[]},{"cell_type":"code","metadata":{"id":"-6usiHJAaUg6","executionInfo":{"status":"ok","timestamp":1634476928192,"user_tz":-540,"elapsed":1546,"user":{"displayName":"신인철","photoUrl":"https://lh3.googleusercontent.com/a/default-user=s64","userId":"11638434393479157475"}}},"source":["for i in again_pli:\n","  p20 = again_df3[f'{i}'].describe(percentiles=[0,0.2,0.4,0.6,0.8,1])['20%']\n","  p40 = again_df3[f'{i}'].describe(percentiles=[0,0.2,0.4,0.6,0.8,1])['40%']\n","  p60 = again_df3[f'{i}'].describe(percentiles=[0,0.2,0.4,0.6,0.8,1])['60%']\n","  p80 = again_df3[f'{i}'].describe(percentiles=[0,0.2,0.4,0.6,0.8,1])['80%']\n","\n","  again_df3[f'{i}'] = again_df3[f'{i}'].apply(lambda x : classy(x,p20,p40,p60,p80))"],"execution_count":99,"outputs":[]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/","height":575},"id":"ZhOxpPAFargI","executionInfo":{"status":"ok","timestamp":1634476937598,"user_tz":-540,"elapsed":385,"user":{"displayName":"신인철","photoUrl":"https://lh3.googleusercontent.com/a/default-user=s64","userId":"11638434393479157475"}},"outputId":"d17d7425-0c34-4952-806d-4eb43f97a782"},"source":["again_df3"],"execution_count":100,"outputs":[{"output_type":"execute_result","data":{"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>고객번호</th>\n","      <th>성별</th>\n","      <th>연령대</th>\n","      <th>구매금액_1</th>\n","      <th>구매금액_2</th>\n","      <th>구매금액_3</th>\n","      <th>구매금액_4</th>\n","      <th>구매금액_A_1</th>\n","      <th>구매금액_B_1</th>\n","      <th>구매금액_C_1</th>\n","      <th>구매금액_D_1</th>\n","      <th>구매금액_A_2</th>\n","      <th>구매금액_B_2</th>\n","      <th>구매금액_C_2</th>\n","      <th>구매금액_D_2</th>\n","      <th>구매금액_A_3</th>\n","      <th>구매금액_B_3</th>\n","      <th>구매금액_C_3</th>\n","      <th>구매금액_D_3</th>\n","      <th>구매금액_A_4</th>\n","      <th>구매금액_B_4</th>\n","      <th>구매금액_C_4</th>\n","      <th>구매금액_D_4</th>\n","      <th>식품_1</th>\n","      <th>식품_2</th>\n","      <th>식품_3</th>\n","      <th>식품_4</th>\n","      <th>의류/잡화_1</th>\n","      <th>의류/잡화_2</th>\n","      <th>의류/잡화_3</th>\n","      <th>의류/잡화_4</th>\n","      <th>생활/건강_1</th>\n","      <th>생활/건강_2</th>\n","      <th>생활/건강_3</th>\n","      <th>생활/건강_4</th>\n","      <th>가구/가전/전자기기_1</th>\n","      <th>가구/가전/전자기기_2</th>\n","      <th>가구/가전/전자기기_3</th>\n","      <th>가구/가전/전자기기_4</th>\n","      <th>스포츠/레저/자동차_1</th>\n","      <th>스포츠/레저/자동차_2</th>\n","      <th>스포츠/레저/자동차_3</th>\n","      <th>스포츠/레저/자동차_4</th>\n","      <th>반려/취미/문구/도서_1</th>\n","      <th>반려/취미/문구/도서_2</th>\n","      <th>반려/취미/문구/도서_3</th>\n","      <th>반려/취미/문구/도서_4</th>\n","      <th>출산유아동_1</th>\n","      <th>출산유아동_2</th>\n","      <th>출산유아동_3</th>\n","      <th>출산유아동_4</th>\n","      <th>기타_1</th>\n","      <th>기타_2</th>\n","      <th>기타_3</th>\n","      <th>기타_4</th>\n","      <th>방문횟수_1</th>\n","      <th>방문횟수_2</th>\n","      <th>방문횟수_3</th>\n","      <th>방문횟수_4</th>\n","      <th>중분류갯수_1</th>\n","      <th>중분류갯수_2</th>\n","      <th>중분류갯수_3</th>\n","      <th>중분류갯수_4</th>\n","      <th>구매금액_1-2</th>\n","      <th>구매금액_A_1-2</th>\n","      <th>구매금액_B_1-2</th>\n","      <th>구매금액_C_1-2</th>\n","      <th>구매금액_D_1-2</th>\n","      <th>식품_1-2</th>\n","      <th>의류/잡화_1-2</th>\n","      <th>생활/건강_1-2</th>\n","      <th>가구/가전/전자기기_1-2</th>\n","      <th>스포츠/레저/자동차_1-2</th>\n","      <th>반려/취미/문구/도서_1-2</th>\n","      <th>출산유아동_1-2</th>\n","      <th>기타_1-2</th>\n","      <th>방문횟수_1-2</th>\n","      <th>중분류갯수_1-2</th>\n","      <th>구매금액_1-3</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>1</td>\n","      <td>1</td>\n","      <td>5</td>\n","      <td>4</td>\n","      <td>4</td>\n","      <td>4</td>\n","      <td>4</td>\n","      <td>4</td>\n","      <td>1</td>\n","      <td>3</td>\n","      <td>0</td>\n","      <td>4</td>\n","      <td>2</td>\n","      <td>3</td>\n","      <td>0</td>\n","      <td>4</td>\n","      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<td>0</td>\n","      <td>4</td>\n","      <td>0</td>\n","      <td>3</td>\n","      <td>1</td>\n","      <td>1</td>\n","      <td>1</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>1</td>\n","      <td>4</td>\n","      <td>1</td>\n","      <td>1</td>\n","    </tr>\n","    <tr>\n","      <th>19145</th>\n","      <td>19360</td>\n","      <td>0</td>\n","      <td>3</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>4</td>\n","      <td>0</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>4</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>4</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>4</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>1</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>3</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>1</td>\n","      <td>2</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>2</td>\n","      <td>4</td>\n","      <td>4</td>\n","      <td>2</td>\n","      <td>0</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>4</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>1</td>\n","      <td>1</td>\n","      <td>4</td>\n","      <td>3</td>\n","      <td>3</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>4</td>\n","      <td>3</td>\n","      <td>3</td>\n","      <td>1</td>\n","    </tr>\n","    <tr>\n","      <th>19146</th>\n","      <td>19364</td>\n","      <td>0</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>3</td>\n","      <td>1</td>\n","      <td>2</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>4</td>\n","      <td>2</td>\n","      <td>1</td>\n","      <td>3</td>\n","      <td>4</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>3</td>\n","      <td>4</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>4</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>3</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>3</td>\n","      <td>1</td>\n","      <td>1</td>\n","      <td>2</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>3</td>\n","      <td>3</td>\n","      <td>3</td>\n","      <td>4</td>\n","      <td>4</td>\n","      <td>4</td>\n","      <td>4</td>\n","      <td>0</td>\n","      <td>1</td>\n","      <td>1</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>2</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>4</td>\n","      <td>4</td>\n","      <td>4</td>\n","      <td>4</td>\n","      <td>0</td>\n","      <td>1</td>\n","      <td>4</td>\n","      <td>3</td>\n","      <td>3</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>4</td>\n","      <td>1</td>\n","      <td>3</td>\n","      <td>4</td>\n","      <td>3</td>\n","    </tr>\n","  </tbody>\n","</table>\n","<p>19147 rows × 79 columns</p>\n","</div>"],"text/plain":["        고객번호  성별  연령대  구매금액_1  ...  기타_1-2  방문횟수_1-2  중분류갯수_1-2  구매금액_1-3\n","0          1   1    5       4  ...       1         3          4         1\n","1          2   1    5       4  ...       1         0          1         1\n","2          3   1    5       0  ...       1         1          1         1\n","3          4   0    5       2  ...       4         0          1         1\n","4          5   1    5       3  ...       0         0          1         0\n","...      ...  ..  ...     ...  ...     ...       ...        ...       ...\n","19142  19356   0    3       0  ...       1         4          3         1\n","19143  19357   0    3       0  ...       3         4          4         3\n","19144  19359   1    4       0  ...       1         4          1         1\n","19145  19360   0    3       0  ...       4         3          3         1\n","19146  19364   0    1       0  ...       1         3          4         3\n","\n","[19147 rows x 79 columns]"]},"metadata":{},"execution_count":100}]},{"cell_type":"code","metadata":{"id":"lpUVx2WcQMnC","executionInfo":{"status":"ok","timestamp":1634474767932,"user_tz":-540,"elapsed":351,"user":{"displayName":"신인철","photoUrl":"https://lh3.googleusercontent.com/a/default-user=s64","userId":"11638434393479157475"}}},"source":["again_nli = ['구매금액','구매금액_A',\n","       '구매금액_B', '구매금액_C', '구매금액_D', '식품',\n","       '의류/잡화', '생활/건강', '가구/가전/전자기기', '스포츠/레저/자동차', '반려/취미/문구/도서', '출산유아동',\n","       '기타', '방문횟수',\n","       '중분류갯수']\n","for i in again_nli:\n","  again_df3[f'{i}_1-2'] = again_df3[f'{i}_2'] - again_df3[f'{i}_1']"],"execution_count":66,"outputs":[]},{"cell_type":"code","metadata":{"id":"HSVWLneQUVgj","executionInfo":{"status":"ok","timestamp":1634475302315,"user_tz":-540,"elapsed":332,"user":{"displayName":"신인철","photoUrl":"https://lh3.googleusercontent.com/a/default-user=s64","userId":"11638434393479157475"}}},"source":[""],"execution_count":70,"outputs":[]},{"cell_type":"code","metadata":{"id":"oGKVg5i2Sb19","executionInfo":{"status":"ok","timestamp":1634476964723,"user_tz":-540,"elapsed":359,"user":{"displayName":"신인철","photoUrl":"https://lh3.googleusercontent.com/a/default-user=s64","userId":"11638434393479157475"}}},"source":["result_df = again_df3[['고객번호', '성별', '연령대', '구매금액_1', '구매금액_2', '구매금액_A_1',\n","       '구매금액_B_1', '구매금액_C_1', '구매금액_D_1', '구매금액_A_2', '구매금액_B_2', '구매금액_C_2',\n","       '구매금액_D_2',\n","       '식품_1', '식품_2', '의류/잡화_1', '의류/잡화_2', '생활/건강_1', '생활/건강_2',\n","       '가구/가전/전자기기_1', '가구/가전/전자기기_2', '스포츠/레저/자동차_1', '스포츠/레저/자동차_2',\n","       '반려/취미/문구/도서_1', '반려/취미/문구/도서_2', \n","       '출산유아동_1', '출산유아동_2', '기타_1',\n","       '기타_2', '방문횟수_1', '방문횟수_2',\n","       '중분류갯수_1', '중분류갯수_2', '구매금액_1-2', '구매금액_A_1-2',\n","       '구매금액_B_1-2', '구매금액_C_1-2', '구매금액_D_1-2', '식품_1-2', '의류/잡화_1-2',\n","       '생활/건강_1-2', '가구/가전/전자기기_1-2', '스포츠/레저/자동차_1-2', '반려/취미/문구/도서_1-2',\n","       '출산유아동_1-2', '기타_1-2', '방문횟수_1-2', '중분류갯수_1-2']]"],"execution_count":101,"outputs":[]},{"cell_type":"code","metadata":{"id":"pyNQvtcZUixx","executionInfo":{"status":"ok","timestamp":1634476973674,"user_tz":-540,"elapsed":485,"user":{"displayName":"신인철","photoUrl":"https://lh3.googleusercontent.com/a/default-user=s64","userId":"11638434393479157475"}}},"source":["result_df = result_df.merge(sample_df,how='left',on='고객번호')"],"execution_count":102,"outputs":[]},{"cell_type":"code","metadata":{"id":"6WAC2CRdX4aJ","executionInfo":{"status":"ok","timestamp":1634476980667,"user_tz":-540,"elapsed":375,"user":{"displayName":"신인철","photoUrl":"https://lh3.googleusercontent.com/a/default-user=s64","userId":"11638434393479157475"}}},"source":["result_df.to_csv('/content/drive/MyDrive/LMEMBERS 프로젝트(1차)/dataset/1016/again_dataset2.csv',encoding='cp949')"],"execution_count":103,"outputs":[]},{"cell_type":"code","metadata":{"id":"5k4-8u7FwXNJ","executionInfo":{"status":"ok","timestamp":1634482639154,"user_tz":-540,"elapsed":326,"user":{"displayName":"신인철","photoUrl":"https://lh3.googleusercontent.com/a/default-user=s64","userId":"11638434393479157475"}}},"source":["result_df = pd.read_csv('/content/drive/MyDrive/LMEMBERS 프로젝트(1차)/dataset/1016/again_dataset2.csv',encoding='cp949',index_col=0)"],"execution_count":8,"outputs":[]},{"cell_type":"code","metadata":{"id":"4XTh7DFwCAVg","executionInfo":{"status":"ok","timestamp":1634487247918,"user_tz":-540,"elapsed":893,"user":{"displayName":"신인철","photoUrl":"https://lh3.googleusercontent.com/a/default-user=s64","userId":"11638434393479157475"}}},"source":[""],"execution_count":14,"outputs":[]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/","height":507},"id":"ZdHLsYArCDI0","executionInfo":{"status":"ok","timestamp":1634487255940,"user_tz":-540,"elapsed":425,"user":{"displayName":"신인철","photoUrl":"https://lh3.googleusercontent.com/a/default-user=s64","userId":"11638434393479157475"}},"outputId":"dbc3f5dd-7e33-401a-9fcf-4f2c1d214aa3"},"source":[""],"execution_count":15,"outputs":[{"output_type":"execute_result","data":{"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>고객번호</th>\n","      <th>성별</th>\n","      <th>연령대</th>\n","      <th>구매금액_1_3P</th>\n","      <th>구매금액_1_3P_A</th>\n","      <th>구매금액_1_3P_B</th>\n","      <th>구매금액_1_3P_C</th>\n","      <th>구매금액_1_3P_D</th>\n","      <th>가구/가전/전자기기_1_3P</th>\n","      <th>기타_1_3P</th>\n","      <th>생활/건강_1_3P</th>\n","      <th>식품_1_3P</th>\n","      <th>의류/잡화_1_3P</th>\n","      <th>반려/취미/문구/도서_1_3P</th>\n","      <th>스포츠/레저/자동차_1_3P</th>\n","      <th>출산유아동_1_3P</th>\n","      <th>방문횟수_1_3P</th>\n","      <th>중분류갯수_1_3P</th>\n","      <th>상위10%물품_1_3P</th>\n","      <th>구매변동_1-3</th>\n","      <th>구매변동_1-4</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    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<th>2</th>\n","      <td>3</td>\n","      <td>1</td>\n","      <td>5</td>\n","      <td>0</td>\n","      <td>-1</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>-1</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>1</td>\n","      <td>1</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>4</td>\n","      <td>0</td>\n","      <td>5</td>\n","      <td>0</td>\n","      <td>-1</td>\n","      <td>0</td>\n","      <td>-1</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>1</td>\n","      <td>-1</td>\n","      <td>0</td>\n","      <td>-2</td>\n","      <td>0</td>\n","      <td>-2</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>-1</td>\n","      <td>1</td>\n","      <td>1</td>\n","    </tr>\n","    <tr>\n","      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</tr>\n","    <tr>\n","      <th>19146</th>\n","      <td>19364</td>\n","      <td>0</td>\n","      <td>1</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>2</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>-2</td>\n","      <td>1</td>\n","      <td>1</td>\n","      <td>1</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>0</td>\n","    </tr>\n","  </tbody>\n","</table>\n","<p>19147 rows × 21 columns</p>\n","</div>"],"text/plain":["        고객번호  성별  연령대  구매금액_1_3P  ...  중분류갯수_1_3P  상위10%물품_1_3P  구매변동_1-3  구매변동_1-4\n","0          1   1    5          0  ...           1             0         1         1\n","1          2   1    5          0  ...           0             0         0         0\n","2          3   1    5          0  ...           0             0         1         1\n","3          4   0    5          0  ...           0            -1         1         1\n","4          5   1    5          0  ...          -1            -1         1         1\n","...      ...  ..  ...        ...  ...         ...           ...       ...       ...\n","19142  19356   0    3          0  ...           1             0         0         0\n","19143  19357   0    3          1  ...           2             1         0         0\n","19144  19359   1    4          0  ...           1             1         0         0\n","19145  19360   0    3          0  ...           1             0         0         0\n","19146  19364   0    1          1  ...           1             1         0         0\n","\n","[19147 rows x 21 columns]"]},"metadata":{},"execution_count":15}]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/","height":1000},"id":"dCJQ1ZYdUvfB","executionInfo":{"status":"ok","timestamp":1634482725658,"user_tz":-540,"elapsed":84577,"user":{"displayName":"신인철","photoUrl":"https://lh3.googleusercontent.com/a/default-user=s64","userId":"11638434393479157475"}},"outputId":"60cf86ec-6a71-4461-aebf-867d160c13b5"},"source":["li = ['rf','xgb','lgbm']\n","for i in li:\n","  random_modeling(result_df.drop(['고객번호'],axis=1),i)"],"execution_count":9,"outputs":[{"output_type":"stream","name":"stdout","text":["rf 정확도 :  0.695\n","rf 정밀도 :  0.6456\n","rf 재현율 :  0.5996\n","rf f1 :  0.6218\n","rf ROC_AUC :  0.7658\n","최적의 파라미터 : {'n_estimators': 381, 'min_samples_split': 5, 'min_samples_leaf': 20, 'max_features': 'sqrt', 'max_depth': 81, 'bootstrap': False}\n","최고의 정확도 : 0.6923684843961452\n","xgb 정확도 :  0.7089\n","xgb 정밀도 :  0.6631\n","xgb 재현율 :  0.6171\n","xgb f1 :  0.6393\n","xgb ROC_AUC :  0.696\n","최적의 파라미터 : {'num_leaves': 31, 'n_estimators': 351, 'min_child_samples': 5, 'max_depth': 50, 'learning_rate': 0.1}\n","최고의 정확도 : 0.6699094799206078\n","lgbm 정확도 :  0.7034\n","lgbm 정밀도 :  0.6525\n","lgbm 재현율 :  0.6215\n","lgbm f1 :  0.6366\n","lgbm ROC_AUC :  0.7756\n","최적의 파라미터 : {'num_leaves': 21, 'n_estimators': 321, 'min_child_samples': 5, 'max_depth': 51, 'learning_rate': 0.01}\n","최고의 정확도 : 0.6898224430614543\n"]},{"output_type":"display_data","data":{"image/png":"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\n","text/plain":["<Figure 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\n","text/plain":["<Figure 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\n","text/plain":["<Figure size 720x864 with 1 Axes>"]},"metadata":{"needs_background":"light"}}]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/","height":1000},"id":"yc71SL95xFr2","executionInfo":{"status":"ok","timestamp":1634483168354,"user_tz":-540,"elapsed":150019,"user":{"displayName":"신인철","photoUrl":"https://lh3.googleusercontent.com/a/default-user=s64","userId":"11638434393479157475"}},"outputId":"3c378c3b-e064-497a-a443-6c63dee6fe96"},"source":["li = ['rf','dt','xgb','lgbm']\n","for i in li:\n","  random2_modeling(result_df.drop(['고객번호'],axis=1),i)"],"execution_count":13,"outputs":[{"output_type":"stream","name":"stdout","text":["rf 정확도 :  0.695\n","rf 정밀도 :  0.6456\n","rf 재현율 :  0.5996\n","rf f1 :  0.6218\n","rf ROC_AUC :  0.7658\n","최적의 파라미터 : {'n_estimators': 621, 'min_samples_split': 5, 'min_samples_leaf': 20, 'max_features': 'log2', 'max_depth': 187, 'bootstrap': False}\n","최고의 정확도 : 0.6924336903472108\n","dt 정확도 :  0.6196\n","dt 정밀도 :  0.5449\n","dt 재현율 :  0.5459\n","dt f1 :  0.5454\n","dt ROC_AUC :  0.6091\n","최적의 파라미터 : {'min_samples_split': 3, 'min_samples_leaf': 80, 'max_features': 'auto', 'max_depth': 35, 'criterion': 'entropy'}\n","최고의 정확도 : 0.6662537695245747\n","xgb 정확도 :  0.7089\n","xgb 정밀도 :  0.6631\n","xgb 재현율 :  0.6171\n","xgb f1 :  0.6393\n","xgb ROC_AUC :  0.696\n","최적의 파라미터 : {'num_leaves': 96, 'n_estimators': 341, 'min_child_samples': 12, 'max_depth': 42, 'learning_rate': 0.01}\n","최고의 정확도 : 0.6646866102592992\n","lgbm 정확도 :  0.7034\n","lgbm 정밀도 :  0.6525\n","lgbm 재현율 :  0.6215\n","lgbm f1 :  0.6366\n","lgbm ROC_AUC :  0.7756\n","최적의 파라미터 : {'num_leaves': 66, 'n_estimators': 586, 'min_child_samples': 14, 'max_depth': 62, 'learning_rate': 0.01}\n","최고의 정확도 : 0.683358844554298\n"]},{"output_type":"display_data","data":{"image/png":"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\n","text/plain":["<Figure 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\n","text/plain":["<Figure 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\n","text/plain":["<Figure 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\n","text/plain":["<Figure size 720x864 with 1 Axes>"]},"metadata":{"needs_background":"light"}}]},{"cell_type":"code","metadata":{"id":"J2aKAzb-CkR_","executionInfo":{"status":"ok","timestamp":1634488384058,"user_tz":-540,"elapsed":342,"user":{"displayName":"신인철","photoUrl":"https://lh3.googleusercontent.com/a/default-user=s64","userId":"11638434393479157475"}}},"source":["from sklearn.ensemble import RandomForestClassifier\n","from sklearn.tree import DecisionTreeClassifier\n","from xgboost import XGBClassifier\n","from lightgbm import LGBMClassifier\n","from sklearn.model_selection import train_test_split\n","from sklearn.metrics import accuracy_score\n","from sklearn.preprocessing import StandardScaler\n","from sklearn.model_selection import GridSearchCV\n","from xgboost import plot_importance as xgb_importance\n","from lightgbm import plot_importance as lgbm_importance\n","import numpy as np\n","import seaborn as sns\n","import matplotlib.pyplot as plt\n","%matplotlib inline\n","import warnings\n","warnings.filterwarnings('ignore')\n","\n","def grid_modeling(data,model):\n","\n","  y = data[['구매변동_1-4']]\n","  x = data.drop(['구매변동_1-4'],axis=1)\n","\n","\n","\n","  X_train, X_test, y_train, y_test = train_test_split(x,y,test_size=0.2,random_state=0)\n","\n","  rf_clf = RandomForestClassifier(random_state=0, n_jobs=-1)\n","  dt_clf = DecisionTreeClassifier(random_state=0)\n","  lr_clf = LogisticRegression(random_state=0, n_jobs=-1)\n","  xgb_clf = XGBClassifier(random_state=0, n_jobs=-1)\n","  lgbm_clf = LGBMClassifier(random_state=0, n_jobs=-1)\n","\n","  if model == 'rf':  \n","    \n","    rf_clf.fit(X_train,y_train)\n","    rf_pred = rf_clf.predict(X_test)\n","    accuracy = accuracy_score(y_test,rf_pred)\n","    print(model,'정확도 : ',round(accuracy,4))\n","\n","    rf_clf_params ={\n","        'n_estimators':[210,215,220],\n","        'max_depth':[10,11,12,13,14],\n","        'min_samples_leaf':[20,40,60,80],\n","        'min_samples_split':[1,2,3,4,5]\n","    }\n","\n","    rf_grid_cv = GridSearchCV(rf_clf, param_grid=rf_clf_params, scoring='accuracy', cv=2, n_jobs=-1)\n","    rf_grid_cv.fit(X_train,y_train)\n","    print('최적의 파라미터 :',rf_grid_cv.best_params_)\n","    print('최고의 정확도 :',rf_grid_cv.best_score_)\n","\n","    plt.rc('font',family='NanumBarunGothic')\n","    fig, ax = plt.subplots(figsize=(10, 12))\n","    sns.barplot(x=np.sort(rf_clf.feature_importances_)[::-1], y=data.drop(['구매변동_1-4'],axis=1).columns , ax=ax)\n","\n","  elif model == 'dt':\n","    \n","    dt_clf.fit(X_train,y_train)\n","    dt_pred = dt_clf.predict(X_test)\n","    accuracy = accuracy_score(y_test,dt_pred)\n","    print(model,'정확도 : ',round(accuracy,4))\n","\n","    dt_clf_params ={\n","        'max_features':['log2','sqrt','auto'],\n","        'criterion':['gini', 'entropy'],\n","        'max_depth':[20,25,30,35,40,45],\n","        'min_samples_leaf':[20,40,60,80],\n","        'min_samples_split':[1,2,3,4,5]\n","    }\n","\n","    dt_grid_cv = GridSearchCV(dt_clf, param_grid=dt_clf_params, scoring='accuracy', cv=2, n_jobs=-1)\n","    dt_grid_cv.fit(X_train,y_train)\n","    print('최적의 파라미터 :',dt_grid_cv.best_params_)\n","    print('최고의 정확도 :',dt_grid_cv.best_score_)\n","\n","    plt.rc('font',family='NanumBarunGothic')\n","    fig, ax = plt.subplots(figsize=(10, 12))\n","    sns.barplot(x=np.sort(dt_clf.feature_importances_)[::-1], y=data.drop(['구매변동_1-4'],axis=1).columns , ax=ax)\n","\n","  elif model == 'xgb':\n","    \n","    evals = [(X_test,y_test)]\n","    xgb_clf.fit(X_train,y_train,early_stopping_rounds=100, eval_metric='logloss',eval_set=evals,verbose=False)\n","    xgb_pred = xgb_clf.predict(X_test)\n","    accuracy = accuracy_score(y_test,xgb_pred)\n","    print(model,'정확도 : ',round(accuracy,4))\n","\n","    xgb_clf_params ={\n","        'n_estimators':[190,200,210],\n","        'max_depth':[2,4,6,8,10],\n","        'min_samples_leaf':[20,40,60,80],\n","        'min_samples_split':[1,2,3,4,5]\n","    }\n","\n","    xgb_grid_cv = GridSearchCV(xgb_clf, param_grid=xgb_clf_params, scoring='accuracy', cv=2, n_jobs=-1)\n","    xgb_grid_cv.fit(X_train,y_train)\n","    print('최적의 파라미터 :',xgb_grid_cv.best_params_)\n","    print('최고의 정확도 :',xgb_grid_cv.best_score_)\n","\n","    plt.rc('font',family='NanumBarunGothic')\n","    fig, ax = plt.subplots(figsize=(10, 12))\n","    xgb_importance(xgb_clf, ax=ax)\n","\n","  elif model == 'lgbm':\n","    \n","    evals = [(X_test,y_test)]\n","    lgbm_clf.fit(X_train,y_train,early_stopping_rounds=100, eval_metric='logloss',eval_set=evals,verbose=False)\n","    lgbm_pred = lgbm_clf.predict(X_test)\n","    accuracy = accuracy_score(y_test,lgbm_pred)\n","    print(model,'정확도 : ',round(accuracy,4))\n","\n","    lgbm_clf_params ={\n","        'n_estimators':[210,215,220],\n","        'max_depth':[10,11,12,13,14],\n","        'min_samples_leaf':[20,40,60,80],\n","        'min_samples_split':[1,2,3,4,5]\n","    }\n","\n","    lgbm_grid_cv = GridSearchCV(lgbm_clf, param_grid=lgbm_clf_params, scoring='accuracy', cv=2, n_jobs=-1)\n","    lgbm_grid_cv.fit(X_train,y_train)\n","    print('최적의 파라미터 :',lgbm_grid_cv.best_params_)\n","    print('최고의 정확도 :',lgbm_grid_cv.best_score_)\n","\n","    plt.rc('font',family='NanumBarunGothic')\n","    fig, ax = plt.subplots(figsize=(10, 12))\n","    lgbm_importance(lgbm_clf, ax=ax)\n","\n","  else :\n","    print('모델 인자 값을 확인하세요')\n","\n","  "],"execution_count":22,"outputs":[]},{"cell_type":"code","metadata":{"id":"fQwqU-iECLzm","executionInfo":{"status":"ok","timestamp":1634487291530,"user_tz":-540,"elapsed":340,"user":{"displayName":"신인철","photoUrl":"https://lh3.googleusercontent.com/a/default-user=s64","userId":"11638434393479157475"}}},"source":["donut = pd.read_csv('/content/drive/MyDrive/LMEMBERS 프로젝트(1차)/dataset/1016/donut1_3개_gap.csv',encoding='cp949',index_col=0)"],"execution_count":16,"outputs":[]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/","height":1000},"id":"Nn1dYpYAEglx","executionInfo":{"status":"ok","timestamp":1634488505034,"user_tz":-540,"elapsed":115563,"user":{"displayName":"신인철","photoUrl":"https://lh3.googleusercontent.com/a/default-user=s64","userId":"11638434393479157475"}},"outputId":"9972069e-55c7-48b9-f843-6138605f8e14"},"source":["model_li = ['rf','dt','xgb','lgbm']\n","for z in model_li:\n","  grid_modeling(donut.drop('고객번호',axis=1),z)"],"execution_count":23,"outputs":[{"output_type":"stream","name":"stdout","text":["rf 정확도 :  0.7253\n","최적의 파라미터 : {'max_depth': 13, 'min_samples_leaf': 40, 'min_samples_split': 2, 'n_estimators': 215}\n","최고의 정확도 : 0.7402232418526831\n","dt 정확도 :  0.6298\n","최적의 파라미터 : {'criterion': 'gini', 'max_depth': 20, 'max_features': 'log2', 'min_samples_leaf': 80, 'min_samples_split': 2}\n","최고의 정확도 : 0.7343474431543742\n","xgb 정확도 :  0.7392\n","최적의 파라미터 : {'max_depth': 2, 'min_samples_leaf': 20, 'min_samples_split': 1, 'n_estimators': 200}\n","최고의 정확도 : 0.7383300016834713\n","lgbm 정확도 :  0.7376\n","최적의 파라미터 : {'max_depth': 12, 'min_samples_leaf': 20, 'min_samples_split': 1, 'n_estimators': 210}\n","최고의 정확도 : 0.7256643189796357\n"]},{"output_type":"display_data","data":{"image/png":"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\n","text/plain":["<Figure 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\n","text/plain":["<Figure 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\n","text/plain":["<Figure 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\n","text/plain":["<Figure size 720x864 with 1 Axes>"]},"metadata":{"needs_background":"light"}}]},{"cell_type":"code","metadata":{"id":"F4BF-v3y0Hso","executionInfo":{"status":"ok","timestamp":1634502856673,"user_tz":-540,"elapsed":826,"user":{"displayName":"신인철","photoUrl":"https://lh3.googleusercontent.com/a/default-user=s64","userId":"11638434393479157475"}}},"source":["ag_df = pd.read_csv('/content/drive/MyDrive/LMEMBERS 프로젝트(1차)/dataset/1015/again_dataset.csv',encoding='cp949',index_col=0)"],"execution_count":87,"outputs":[]},{"cell_type":"code","metadata":{"id":"myacOsg63Do3","executionInfo":{"status":"ok","timestamp":1634502858873,"user_tz":-540,"elapsed":399,"user":{"displayName":"신인철","photoUrl":"https://lh3.googleusercontent.com/a/default-user=s64","userId":"11638434393479157475"}}},"source":["cat_df = pd.read_csv('/content/drive/MyDrive/LMEMBERS 프로젝트(1차)/dataset/1016/sil_cat_dataset.csv',encoding='cp949',index_col=0)"],"execution_count":88,"outputs":[]},{"cell_type":"code","metadata":{"id":"qpor9kiP25OC","executionInfo":{"status":"ok","timestamp":1634502860765,"user_tz":-540,"elapsed":361,"user":{"displayName":"신인철","photoUrl":"https://lh3.googleusercontent.com/a/default-user=s64","userId":"11638434393479157475"}}},"source":["plz_last_df = ag_df.merge(cat_df,how='left',on='고객번호')"],"execution_count":89,"outputs":[]},{"cell_type":"code","metadata":{"id":"4zBUVsy33kog","executionInfo":{"status":"ok","timestamp":1634502861903,"user_tz":-540,"elapsed":1,"user":{"displayName":"신인철","photoUrl":"https://lh3.googleusercontent.com/a/default-user=s64","userId":"11638434393479157475"}}},"source":["plz_last_df.dropna(axis=0,inplace=True)"],"execution_count":90,"outputs":[]},{"cell_type":"code","metadata":{"id":"2bb7G3RD4AXC","executionInfo":{"status":"ok","timestamp":1634502863799,"user_tz":-540,"elapsed":359,"user":{"displayName":"신인철","photoUrl":"https://lh3.googleusercontent.com/a/default-user=s64","userId":"11638434393479157475"}}},"source":["plz_last_df['유형'] = plz_last_df['유형'].astype(int)"],"execution_count":91,"outputs":[]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/","height":524},"id":"jSPILTQa-vrl","executionInfo":{"status":"ok","timestamp":1634503177067,"user_tz":-540,"elapsed":353,"user":{"displayName":"신인철","photoUrl":"https://lh3.googleusercontent.com/a/default-user=s64","userId":"11638434393479157475"}},"outputId":"e1b6955f-ceb2-41e4-d353-d9c65832c5ce"},"source":["plz_last_df.iloc[:,60:]"],"execution_count":95,"outputs":[{"output_type":"execute_result","data":{"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>중분류갯수_2</th>\n","      <th>중분류갯수_3</th>\n","      <th>중분류갯수_4</th>\n","      <th>구매금액_1-2P</th>\n","      <th>구매금액_1-3P</th>\n","      <th>구매금액_2-3P</th>\n","      <th>구매금액_A_1-2P</th>\n","      <th>구매금액_A_1-3P</th>\n","      <th>구매금액_A_2-3P</th>\n","      <th>구매금액_B_1-2P</th>\n","      <th>구매금액_B_1-3P</th>\n","      <th>구매금액_B_2-3P</th>\n","      <th>구매금액_C_1-2P</th>\n","      <th>구매금액_C_1-3P</th>\n","      <th>구매금액_C_2-3P</th>\n","      <th>구매금액_D_1-2P</th>\n","      <th>구매금액_D_1-3P</th>\n","      <th>구매금액_D_2-3P</th>\n","      <th>가구/가전/전자기기_1-2P</th>\n","      <th>가구/가전/전자기기_1-3P</th>\n","      <th>가구/가전/전자기기_2-3P</th>\n","      <th>기타_1-2P</th>\n","      <th>기타_1-3P</th>\n","      <th>기타_2-3P</th>\n","      <th>생활/건강_1-2P</th>\n","      <th>생활/건강_1-3P</th>\n","      <th>생활/건강_2-3P</th>\n","      <th>식품_1-2P</th>\n","      <th>식품_1-3P</th>\n","      <th>식품_2-3P</th>\n","      <th>의류/잡화_1-2P</th>\n","      <th>의류/잡화_1-3P</th>\n","      <th>의류/잡화_2-3P</th>\n","      <th>반려/취미/문구/도서_1-2P</th>\n","      <th>반려/취미/문구/도서_1-3P</th>\n","      <th>반려/취미/문구/도서_2-3P</th>\n","      <th>스포츠/레저/자동차_1-2P</th>\n","      <th>스포츠/레저/자동차_1-3P</th>\n","      <th>스포츠/레저/자동차_2-3P</th>\n","      <th>출산유아동_1-2P</th>\n","      <th>출산유아동_1-3P</th>\n","      <th>출산유아동_2-3P</th>\n","      <th>방문횟수_1-2P</th>\n","      <th>방문횟수_1-3P</th>\n","      <th>방문횟수_2-3P</th>\n","      <th>중분류갯수_1-2P</th>\n","      <th>중분류갯수_1-3P</th>\n","      <th>중분류갯수_2-3P</th>\n","      <th>유형</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>34</td>\n","      <td>29</td>\n","      <td>23</td>\n","      <td>14190957</td>\n","      <td>-2026990</td>\n","      <td>-16217947</td>\n","      <td>13637090</td>\n","      <td>-2320460</td>\n","      <td>-15957550</td>\n","      <td>354340</td>\n","      <td>186336</td>\n","      <td>-168004</td>\n","      <td>199527</td>\n","      <td>107134</td>\n","      <td>-92393</td>\n","      <td>0</td>\n","      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<td>-80000</td>\n","      <td>-80000</td>\n","      <td>0</td>\n","      <td>6960</td>\n","      <td>0</td>\n","      <td>-6960</td>\n","      <td>264379</td>\n","      <td>-178935</td>\n","      <td>-443314</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>26900</td>\n","      <td>0</td>\n","      <td>-26900</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>98940</td>\n","      <td>43040</td>\n","      <td>-55900</td>\n","      <td>157469</td>\n","      <td>-210005</td>\n","      <td>-367474</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>43</td>\n","      <td>-128</td>\n","      <td>-171</td>\n","      <td>1</td>\n","      <td>-5</td>\n","      <td>-6</td>\n","      <td>1</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>29</td>\n","      <td>27</td>\n","      <td>24</td>\n","      <td>-784596</td>\n","      <td>-1385169</td>\n","      <td>-600573</td>\n","      <td>-916740</td>\n","      <td>-1457480</td>\n","      <td>-540740</td>\n","      <td>340680</td>\n","      <td>253804</td>\n","      <td>-86876</td>\n","      <td>-208536</td>\n","      <td>-181493</td>\n","      <td>27043</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>404000</td>\n","      <td>0</td>\n","      <td>-404000</td>\n","      <td>542500</td>\n","      <td>172150</td>\n","      <td>-370350</td>\n","      <td>80760</td>\n","      <td>-31620</td>\n","      <td>-112380</td>\n","      <td>-752076</td>\n","      <td>190941</td>\n","      <td>943017</td>\n","      <td>-1283730</td>\n","      <td>-1440340</td>\n","      <td>-156610</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>211250</td>\n","      <td>-340100</td>\n","      <td>-551350</td>\n","      <td>17900</td>\n","      <td>69000</td>\n","      <td>51100</td>\n","      <td>-98</td>\n","      <td>-7</td>\n","      <td>91</td>\n","      <td>5</td>\n","      <td>3</td>\n","      <td>-2</td>\n","      <td>0</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>14</td>\n","      <td>12</td>\n","      <td>13</td>\n","      <td>-3234420</td>\n","      <td>-2525220</td>\n","      <td>709200</td>\n","      <td>-3218420</td>\n","      <td>-2526770</td>\n","      <td>691650</td>\n","      <td>-16000</td>\n","      <td>-16000</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>17550</td>\n","      <td>17550</td>\n","      <td>162400</td>\n","      <td>-49900</td>\n","      <td>-212300</td>\n","      <td>-673510</td>\n","      <td>-419460</td>\n","      <td>254050</td>\n","      <td>-358280</td>\n","      <td>-409580</td>\n","      <td>-51300</td>\n","      <td>-1869680</td>\n","      <td>-1307130</td>\n","      <td>562550</td>\n","      <td>-429270</td>\n","      <td>-201870</td>\n","      <td>227400</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>8120</td>\n","      <td>-63080</td>\n","      <td>-71200</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>-247</td>\n","      <td>-254</td>\n","      <td>-7</td>\n","      <td>-4</td>\n","      <td>-6</td>\n","      <td>-2</td>\n","      <td>0</td>\n","    </tr>\n","    <tr>\n","      <th>14</th>\n","      <td>25</td>\n","      <td>32</td>\n","      <td>32</td>\n","      <td>-5485967</td>\n","      <td>-1229440</td>\n","      <td>4256527</td>\n","      <td>-5588190</td>\n","      <td>-1257070</td>\n","      <td>4331120</td>\n","      <td>218736</td>\n","      <td>171060</td>\n","      <td>-47676</td>\n","      <td>-116513</td>\n","      <td>-143430</td>\n","      <td>-26917</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      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<td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","    </tr>\n","    <tr>\n","      <th>19117</th>\n","      <td>29</td>\n","      <td>27</td>\n","      <td>28</td>\n","      <td>-204375</td>\n","      <td>-134284</td>\n","      <td>70091</td>\n","      <td>-58300</td>\n","      <td>-58300</td>\n","      <td>0</td>\n","      <td>146640</td>\n","      <td>-94930</td>\n","      <td>-241570</td>\n","      <td>-292715</td>\n","      <td>18946</td>\n","      <td>311661</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>-81210</td>\n","      <td>78610</td>\n","      <td>159820</td>\n","      <td>40200</td>\n","      <td>-11200</td>\n","      <td>-51400</td>\n","      <td>-41920</td>\n","      <td>-103390</td>\n","      <td>-61470</td>\n","      <td>96115</td>\n","      <td>71016</td>\n","      <td>-25099</td>\n","      <td>-72300</td>\n","      <td>-60500</td>\n","      <td>11800</td>\n","      <td>-25320</td>\n","      <td>-34930</td>\n","      <td>-9610</td>\n","      <td>-11240</td>\n","      <td>-14060</td>\n","      <td>-2820</td>\n","      <td>-108700</td>\n","      <td>-59830</td>\n","      <td>48870</td>\n","      <td>-66</td>\n","      <td>-48</td>\n","      <td>18</td>\n","      <td>-3</td>\n","      <td>-5</td>\n","      <td>-2</td>\n","      <td>5</td>\n","    </tr>\n","    <tr>\n","      <th>19120</th>\n","      <td>32</td>\n","      <td>34</td>\n","      <td>30</td>\n","      <td>-2195812</td>\n","      <td>-1750486</td>\n","      <td>445326</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>186930</td>\n","      <td>186930</td>\n","      <td>-2195812</td>\n","      <td>-1937416</td>\n","      <td>258396</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>-77310</td>\n","      <td>-76730</td>\n","      <td>580</td>\n","      <td>-7520</td>\n","      <td>-67700</td>\n","      <td>-60180</td>\n","      <td>-143480</td>\n","      <td>-195460</td>\n","      <td>-51980</td>\n","      <td>-1963212</td>\n","      <td>-1447076</td>\n","      <td>516136</td>\n","      <td>-9220</td>\n","      <td>-10100</td>\n","      <td>-880</td>\n","      <td>-35030</td>\n","      <td>61060</td>\n","      <td>96090</td>\n","      <td>28020</td>\n","      <td>-31620</td>\n","      <td>-59640</td>\n","      <td>11940</td>\n","      <td>17140</td>\n","      <td>5200</td>\n","      <td>-140</td>\n","      <td>-128</td>\n","      <td>12</td>\n","      <td>0</td>\n","      <td>2</td>\n","      <td>2</td>\n","      <td>5</td>\n","    </tr>\n","    <tr>\n","      <th>19121</th>\n","      <td>17</td>\n","      <td>13</td>\n","      <td>9</td>\n","      <td>-493458</td>\n","      <td>-122838</td>\n","      <td>370620</td>\n","      <td>-397990</td>\n","      <td>-554590</td>\n","      <td>-156600</td>\n","      <td>-95468</td>\n","      <td>-335198</td>\n","      <td>-239730</td>\n","      <td>0</td>\n","      <td>3130</td>\n","      <td>3130</td>\n","      <td>0</td>\n","      <td>763820</td>\n","      <td>763820</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>-14500</td>\n","      <td>-24960</td>\n","      <td>-10460</td>\n","      <td>-4290</td>\n","      <td>-7400</td>\n","      <td>-3110</td>\n","      <td>-358368</td>\n","      <td>23982</td>\n","      <td>382350</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>-84</td>\n","      <td>-68</td>\n","      <td>16</td>\n","      <td>-4</td>\n","      <td>-8</td>\n","      <td>-4</td>\n","      <td>5</td>\n","    </tr>\n","    <tr>\n","      <th>19122</th>\n","      <td>46</td>\n","      <td>40</td>\n","      <td>21</td>\n","      <td>1855530</td>\n","      <td>-1072727</td>\n","      <td>-2928257</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>1821503</td>\n","      <td>-1169119</td>\n","      <td>-2990622</td>\n","      <td>34027</td>\n","      <td>96392</td>\n","      <td>62365</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>9900</td>\n","      <td>269000</td>\n","      <td>259100</td>\n","      <td>27100</td>\n","      <td>33450</td>\n","      <td>6350</td>\n","      <td>-74620</td>\n","      <td>-86300</td>\n","      <td>-11680</td>\n","      <td>1560990</td>\n","      <td>-1621047</td>\n","      <td>-3182037</td>\n","      <td>76100</td>\n","      <td>97700</td>\n","      <td>21600</td>\n","      <td>168940</td>\n","      <td>254770</td>\n","      <td>85830</td>\n","      <td>-4320</td>\n","      <td>-10250</td>\n","      <td>-5930</td>\n","      <td>91440</td>\n","      <td>-10050</td>\n","      <td>-101490</td>\n","      <td>221</td>\n","      <td>-224</td>\n","      <td>-445</td>\n","      <td>11</td>\n","      <td>5</td>\n","      <td>-6</td>\n","      <td>2</td>\n","    </tr>\n","    <tr>\n","      <th>19134</th>\n","      <td>23</td>\n","      <td>4</td>\n","      <td>3</td>\n","      <td>-43080</td>\n","      <td>-955743</td>\n","      <td>-912663</td>\n","      <td>469050</td>\n","      <td>42200</td>\n","      <td>-426850</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>-512130</td>\n","      <td>-997943</td>\n","      <td>-485813</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>-50470</td>\n","      <td>-74670</td>\n","      <td>-24200</td>\n","      <td>-8480</td>\n","      <td>-13880</td>\n","      <td>-5400</td>\n","      <td>-123470</td>\n","      <td>-140920</td>\n","      <td>-17450</td>\n","      <td>-285430</td>\n","      <td>-764273</td>\n","      <td>-478843</td>\n","      <td>425770</td>\n","      <td>39000</td>\n","      <td>-386770</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>-65</td>\n","      <td>-197</td>\n","      <td>-132</td>\n","      <td>-2</td>\n","      <td>-21</td>\n","      <td>-19</td>\n","      <td>1</td>\n","    </tr>\n","  </tbody>\n","</table>\n","<p>8085 rows × 49 columns</p>\n","</div>"],"text/plain":["       중분류갯수_2  중분류갯수_3  중분류갯수_4  ...  중분류갯수_1-3P  중분류갯수_2-3P  유형\n","0           34       29       23  ...           8          -5   1\n","2           22       16       23  ...          -5          -6   1\n","3           29       27       24  ...           3          -2   0\n","4           14       12       13  ...          -6          -2   0\n","14          25       32       32  ...           8           7   0\n","...        ...      ...      ...  ...         ...         ...  ..\n","19117       29       27       28  ...          -5          -2   5\n","19120       32       34       30  ...           2           2   5\n","19121       17       13        9  ...          -8          -4   5\n","19122       46       40       21  ...           5          -6   2\n","19134       23        4        3  ...         -21         -19   1\n","\n","[8085 rows x 49 columns]"]},"metadata":{},"execution_count":95}]},{"cell_type":"code","metadata":{"id":"KWPZZQiS3rUJ","executionInfo":{"status":"ok","timestamp":1634501889007,"user_tz":-540,"elapsed":344,"user":{"displayName":"신인철","photoUrl":"https://lh3.googleusercontent.com/a/default-user=s64","userId":"11638434393479157475"}}},"source":["cluster_1 = plz_last_df[plz_last_df['유형'] == 0]\n","cluster_2 = plz_last_df[plz_last_df['유형'] == 1]\n","cluster_3 = plz_last_df[plz_last_df['유형'] == 2]\n","cluster_4 = plz_last_df[plz_last_df['유형'] == 3]\n","cluster_5 = plz_last_df[plz_last_df['유형'] == 4]\n","cluster_6 = plz_last_df[plz_last_df['유형'] == 5]"],"execution_count":68,"outputs":[]},{"cell_type":"code","metadata":{"id":"w0ADHkD8FWls"},"source":[""],"execution_count":null,"outputs":[]},{"cell_type":"code","metadata":{"id":"0s-46Fvo-_2D","executionInfo":{"status":"ok","timestamp":1634503802111,"user_tz":-540,"elapsed":1,"user":{"displayName":"신인철","photoUrl":"https://lh3.googleusercontent.com/a/default-user=s64","userId":"11638434393479157475"}}},"source":["new_df = pd.DataFrame()"],"execution_count":111,"outputs":[]},{"cell_type":"code","metadata":{"id":"bH2-rlcr6T4s","executionInfo":{"status":"ok","timestamp":1634503804540,"user_tz":-540,"elapsed":361,"user":{"displayName":"신인철","photoUrl":"https://lh3.googleusercontent.com/a/default-user=s64","userId":"11638434393479157475"}}},"source":["mean_li = ['구매금액', '구매금액_A',\n","       '구매금액_B', '구매금액_C', '식품', '의류/잡화', '방문횟수', '중분류갯수']\n","for i in mean_li:\n","  new_df[f'{i}_증감평균'] = (plz_last_df[f'{i}_1-2P'] + plz_last_df[f'{i}_1-3P'] + plz_last_df[f'{i}_2-3P']) / 3"],"execution_count":112,"outputs":[]},{"cell_type":"code","metadata":{"id":"kvyGZBhN-7-v","executionInfo":{"status":"ok","timestamp":1634503807317,"user_tz":-540,"elapsed":356,"user":{"displayName":"신인철","photoUrl":"https://lh3.googleusercontent.com/a/default-user=s64","userId":"11638434393479157475"}}},"source":["new_df['고객번호'] = plz_last_df['고객번호']\n","new_df['유형'] = plz_last_df['유형']"],"execution_count":113,"outputs":[]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"sA85Vo4m_vR1","executionInfo":{"status":"ok","timestamp":1634504535059,"user_tz":-540,"elapsed":382,"user":{"displayName":"신인철","photoUrl":"https://lh3.googleusercontent.com/a/default-user=s64","userId":"11638434393479157475"}},"outputId":"b8ba4832-c449-4194-9e97-f4b53cbf28fe"},"source":["new_df['유형'].value_counts()"],"execution_count":117,"outputs":[{"output_type":"execute_result","data":{"text/plain":["5    2391\n","1    1933\n","2    1922\n","0    1062\n","3     446\n","4     331\n","Name: 유형, dtype: int64"]},"metadata":{},"execution_count":117}]},{"cell_type":"code","metadata":{"id":"XvXTap9XFZ_V","executionInfo":{"status":"ok","timestamp":1634505015858,"user_tz":-540,"elapsed":363,"user":{"displayName":"신인철","photoUrl":"https://lh3.googleusercontent.com/a/default-user=s64","userId":"11638434393479157475"}}},"source":["des_df = plz_last_df.groupby(['유형']).sum().reset_index()"],"execution_count":123,"outputs":[]},{"cell_type":"code","metadata":{"id":"N6niRBj5F099","executionInfo":{"status":"ok","timestamp":1634505111038,"user_tz":-540,"elapsed":344,"user":{"displayName":"신인철","photoUrl":"https://lh3.googleusercontent.com/a/default-user=s64","userId":"11638434393479157475"}}},"source":["des_df = des_df.iloc[:,:64]"],"execution_count":126,"outputs":[]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"aB6eRT8AGd0T","executionInfo":{"status":"ok","timestamp":1634505196576,"user_tz":-540,"elapsed":357,"user":{"displayName":"신인철","photoUrl":"https://lh3.googleusercontent.com/a/default-user=s64","userId":"11638434393479157475"}},"outputId":"0e027dce-8070-4f82-996a-d8aff62cbfd4"},"source":["des_df.columns"],"execution_count":129,"outputs":[{"output_type":"execute_result","data":{"text/plain":["Index(['유형', '고객번호', '성별', '연령대', '구매금액_1', '구매금액_2', '구매금액_3', '구매금액_4',\n","       '구매금액_A_1', '구매금액_B_1', '구매금액_C_1', '구매금액_D_1', '구매금액_A_2', '구매금액_B_2',\n","       '구매금액_C_2', '구매금액_D_2', '구매금액_A_3', '구매금액_B_3', '구매금액_C_3', '구매금액_D_3',\n","       '구매금액_A_4', '구매금액_B_4', '구매금액_C_4', '구매금액_D_4', '가구/가전/전자기기_1',\n","       '가구/가전/전자기기_2', '가구/가전/전자기기_3', '가구/가전/전자기기_4', '기타_1', '기타_2', '기타_3',\n","       '기타_4', '생활/건강_1', '생활/건강_2', '생활/건강_3', '생활/건강_4', '식품_1', '식품_2',\n","       '식품_3', '식품_4', '의류/잡화_1', '의류/잡화_2', '의류/잡화_3', '의류/잡화_4',\n","       '반려/취미/문구/도서_1', '반려/취미/문구/도서_2', '반려/취미/문구/도서_3', '반려/취미/문구/도서_4',\n","       '스포츠/레저/자동차_1', '스포츠/레저/자동차_2', '스포츠/레저/자동차_3', '스포츠/레저/자동차_4',\n","       '출산유아동_1', '출산유아동_2', '출산유아동_3', '출산유아동_4', '방문횟수_1', '방문횟수_2',\n","       '방문횟수_3', '방문횟수_4', '중분류갯수_1', '중분류갯수_2', '중분류갯수_3', '중분류갯수_4'],\n","      dtype='object')"]},"metadata":{},"execution_count":129}]},{"cell_type":"code","metadata":{"id":"S5YRaxwOGvUR","executionInfo":{"status":"ok","timestamp":1634505273186,"user_tz":-540,"elapsed":5,"user":{"displayName":"신인철","photoUrl":"https://lh3.googleusercontent.com/a/default-user=s64","userId":"11638434393479157475"}}},"source":["res_df = pd.DataFrame()"],"execution_count":131,"outputs":[]},{"cell_type":"code","metadata":{"id":"gicZjTcxGL1P","executionInfo":{"status":"ok","timestamp":1634505276245,"user_tz":-540,"elapsed":359,"user":{"displayName":"신인철","photoUrl":"https://lh3.googleusercontent.com/a/default-user=s64","userId":"11638434393479157475"}}},"source":["des_li = ['구매금액', '구매금액_A', '구매금액_B', '구매금액_C', '식품', '의류/잡화', '방문횟수', '중분류갯수']\n","for i in des_li:\n","  res_df[f'총_{i}'] = des_df[f'{i}_1'] + des_df[f'{i}_2'] + des_df[f'{i}_3'] + des_df[f'{i}_4']"],"execution_count":132,"outputs":[]},{"cell_type":"code","metadata":{"id":"EXZsGGZrG06d","executionInfo":{"status":"ok","timestamp":1634507733204,"user_tz":-540,"elapsed":486,"user":{"displayName":"신인철","photoUrl":"https://lh3.googleusercontent.com/a/default-user=s64","userId":"11638434393479157475"}}},"source":["res_df['방문당소비금액'] = res_df['총_구매금액'] / res_df['총_방문횟수']"],"execution_count":144,"outputs":[]},{"cell_type":"code","metadata":{"id":"-v91RZEUQMCM","executionInfo":{"status":"ok","timestamp":1634508092084,"user_tz":-540,"elapsed":419,"user":{"displayName":"신인철","photoUrl":"https://lh3.googleusercontent.com/a/default-user=s64","userId":"11638434393479157475"}}},"source":["res_df['인원'] = [1062,1933,1922,446,331,2391]"],"execution_count":146,"outputs":[]},{"cell_type":"code","metadata":{"id":"_191-QuHRjoY","executionInfo":{"status":"ok","timestamp":1634508138814,"user_tz":-540,"elapsed":346,"user":{"displayName":"신인철","photoUrl":"https://lh3.googleusercontent.com/a/default-user=s64","userId":"11638434393479157475"}}},"source":["res_df['인원당소비금액'] = res_df['총_구매금액'] / res_df['인원']"],"execution_count":148,"outputs":[]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/","height":272},"id":"aemap3FbRvCI","executionInfo":{"status":"ok","timestamp":1634509119190,"user_tz":-540,"elapsed":337,"user":{"displayName":"신인철","photoUrl":"https://lh3.googleusercontent.com/a/default-user=s64","userId":"11638434393479157475"}},"outputId":"02be3a8f-df09-423c-f2ad-69f775b45366"},"source":["res_df"],"execution_count":153,"outputs":[{"output_type":"execute_result","data":{"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>총_구매금액</th>\n","      <th>총_구매금액_A</th>\n","      <th>총_구매금액_B</th>\n","      <th>총_구매금액_C</th>\n","      <th>총_식품</th>\n","      <th>총_의류/잡화</th>\n","      <th>총_방문횟수</th>\n","      <th>총_중분류갯수</th>\n","      <th>방문당소비금액</th>\n","      <th>인원</th>\n","      <th>인원당소비금액</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>21876190016</td>\n","      <td>12059614560</td>\n","      <td>7346424562</td>\n","      <td>2447017144</td>\n","      <td>9267106891</td>\n","      <td>5429964844</td>\n","      <td>1577898</td>\n","      <td>135447</td>\n","      <td>13864.134447</td>\n","      <td>1062</td>\n","      <td>2.059905e+07</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>84345644686</td>\n","      <td>71000668450</td>\n","      <td>8982227402</td>\n","      <td>4341178754</td>\n","      <td>17200014656</td>\n","      <td>43459581313</td>\n","      <td>2605988</td>\n","      <td>220735</td>\n","      <td>32366.090974</td>\n","      <td>1933</td>\n","      <td>4.363458e+07</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>74442474142</td>\n","      <td>57953718220</td>\n","      <td>11435068197</td>\n","      <td>4990461556</td>\n","      <td>17487065818</td>\n","      <td>34244132690</td>\n","      <td>2892579</td>\n","      <td>238327</td>\n","      <td>25735.675376</td>\n","      <td>1922</td>\n","      <td>3.873178e+07</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>12638272228</td>\n","      <td>9333255230</td>\n","      <td>2456101250</td>\n","      <td>833085448</td>\n","      <td>4818826392</td>\n","      <td>4024084309</td>\n","      <td>618903</td>\n","      <td>52613</td>\n","      <td>20420.441051</td>\n","      <td>446</td>\n","      <td>2.833693e+07</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>8623777760</td>\n","      <td>6042843820</td>\n","      <td>2021391472</td>\n","      <td>554129018</td>\n","      <td>2852565834</td>\n","      <td>2246725772</td>\n","      <td>461269</td>\n","      <td>40865</td>\n","      <td>18695.767025</td>\n","      <td>331</td>\n","      <td>2.605371e+07</td>\n","    </tr>\n","    <tr>\n","      <th>5</th>\n","      <td>87527866911</td>\n","      <td>64232505680</td>\n","      <td>15684530332</td>\n","      <td>7512687979</td>\n","      <td>22192128680</td>\n","      <td>36609735375</td>\n","      <td>3587285</td>\n","      <td>292242</td>\n","      <td>24399.473951</td>\n","      <td>2391</td>\n","      <td>3.660722e+07</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["        총_구매금액     총_구매금액_A     총_구매금액_B  ...       방문당소비금액    인원       인원당소비금액\n","0  21876190016  12059614560   7346424562  ...  13864.134447  1062  2.059905e+07\n","1  84345644686  71000668450   8982227402  ...  32366.090974  1933  4.363458e+07\n","2  74442474142  57953718220  11435068197  ...  25735.675376  1922  3.873178e+07\n","3  12638272228   9333255230   2456101250  ...  20420.441051   446  2.833693e+07\n","4   8623777760   6042843820   2021391472  ...  18695.767025   331  2.605371e+07\n","5  87527866911  64232505680  15684530332  ...  24399.473951  2391  3.660722e+07\n","\n","[6 rows x 11 columns]"]},"metadata":{},"execution_count":153}]},{"cell_type":"code","metadata":{"id":"LAMc2PPX_lIB","executionInfo":{"status":"ok","timestamp":1634507663582,"user_tz":-540,"elapsed":338,"user":{"displayName":"신인철","photoUrl":"https://lh3.googleusercontent.com/a/default-user=s64","userId":"11638434393479157475"}}},"source":["last_df = new_df.groupby(['유형'])[['구매금액_증감평균', '구매금액_A_증감평균', '구매금액_B_증감평균', '구매금액_C_증감평균', '식품_증감평균',\n","       '의류/잡화_증감평균', '방문횟수_증감평균', '중분류갯수_증감평균',]].mean().reset_index()"],"execution_count":142,"outputs":[]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/","height":252},"id":"yKxfpLhKP7Fp","executionInfo":{"status":"ok","timestamp":1634507670323,"user_tz":-540,"elapsed":389,"user":{"displayName":"신인철","photoUrl":"https://lh3.googleusercontent.com/a/default-user=s64","userId":"11638434393479157475"}},"outputId":"c8fd37ce-4939-488b-aab1-d5bd96abc4e8"},"source":["last_df"],"execution_count":143,"outputs":[{"output_type":"execute_result","data":{"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>유형</th>\n","      <th>구매금액_증감평균</th>\n","      <th>구매금액_A_증감평균</th>\n","      <th>구매금액_B_증감평균</th>\n","      <th>구매금액_C_증감평균</th>\n","      <th>식품_증감평균</th>\n","      <th>의류/잡화_증감평균</th>\n","      <th>방문횟수_증감평균</th>\n","      <th>중분류갯수_증감평균</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>0</td>\n","      <td>-1.318175e+06</td>\n","      <td>-9.879758e+05</td>\n","      <td>-309117.043315</td>\n","      <td>-23514.816698</td>\n","      <td>-233693.266792</td>\n","      <td>-5.909289e+05</td>\n","      <td>-16.357815</td>\n","      <td>-1.160075</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>1</td>\n","      <td>-3.039278e+06</td>\n","      <td>-2.809117e+06</td>\n","      <td>-165230.499741</td>\n","      <td>-66118.288326</td>\n","      <td>-212723.989998</td>\n","      <td>-1.919783e+06</td>\n","      <td>-26.473530</td>\n","      <td>-0.528367</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>2</td>\n","      <td>-2.250308e+06</td>\n","      <td>-1.963486e+06</td>\n","      <td>-221223.226153</td>\n","      <td>-65917.738120</td>\n","      <td>-211221.758238</td>\n","      <td>-1.270790e+06</td>\n","      <td>-13.698578</td>\n","      <td>0.176552</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>3</td>\n","      <td>-3.399527e+06</td>\n","      <td>-3.138293e+06</td>\n","      <td>-258905.727952</td>\n","      <td>-3949.400598</td>\n","      <td>-270253.273543</td>\n","      <td>-2.189371e+06</td>\n","      <td>-14.532138</td>\n","      <td>-0.626308</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>4</td>\n","      <td>-1.450231e+06</td>\n","      <td>-1.123241e+06</td>\n","      <td>-235052.582075</td>\n","      <td>-93784.938570</td>\n","      <td>-308302.870091</td>\n","      <td>2.187222e+05</td>\n","      <td>-28.565962</td>\n","      <td>-0.519637</td>\n","    </tr>\n","    <tr>\n","      <th>5</th>\n","      <td>5</td>\n","      <td>-3.617834e+06</td>\n","      <td>-2.406646e+06</td>\n","      <td>-967071.993308</td>\n","      <td>-241359.065105</td>\n","      <td>-719181.362889</td>\n","      <td>-1.312844e+06</td>\n","      <td>-46.982574</td>\n","      <td>-1.417817</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["   유형     구매금액_증감평균   구매금액_A_증감평균  ...    의류/잡화_증감평균  방문횟수_증감평균  중분류갯수_증감평균\n","0   0 -1.318175e+06 -9.879758e+05  ... -5.909289e+05 -16.357815   -1.160075\n","1   1 -3.039278e+06 -2.809117e+06  ... -1.919783e+06 -26.473530   -0.528367\n","2   2 -2.250308e+06 -1.963486e+06  ... -1.270790e+06 -13.698578    0.176552\n","3   3 -3.399527e+06 -3.138293e+06  ... -2.189371e+06 -14.532138   -0.626308\n","4   4 -1.450231e+06 -1.123241e+06  ...  2.187222e+05 -28.565962   -0.519637\n","5   5 -3.617834e+06 -2.406646e+06  ... -1.312844e+06 -46.982574   -1.417817\n","\n","[6 rows x 9 columns]"]},"metadata":{},"execution_count":143}]},{"cell_type":"code","metadata":{"id":"TLWUjtRv4v0E","executionInfo":{"status":"ok","timestamp":1634502870351,"user_tz":-540,"elapsed":463,"user":{"displayName":"신인철","photoUrl":"https://lh3.googleusercontent.com/a/default-user=s64","userId":"11638434393479157475"}}},"source":["result_df = plz_last_df.groupby(['유형'])[[ '구매금액_1', '구매금액_2', '구매금액_3', '구매금액_4', '구매금액_A_1',\n","       '구매금액_B_1', '구매금액_C_1', '구매금액_D_1', '구매금액_A_2', '구매금액_B_2', '구매금액_C_2',\n","       '구매금액_D_2', '구매금액_A_3', '구매금액_B_3', '구매금액_C_3', '구매금액_D_3', '구매금액_A_4',\n","       '구매금액_B_4', '구매금액_C_4', '구매금액_D_4', '가구/가전/전자기기_1', '가구/가전/전자기기_2',\n","       '가구/가전/전자기기_3', '가구/가전/전자기기_4', '기타_1', '기타_2', '기타_3', '기타_4',\n","       '생활/건강_1', '생활/건강_2', '생활/건강_3', '생활/건강_4', '식품_1', '식품_2', '식품_3',\n","       '식품_4', '의류/잡화_1', '의류/잡화_2', '의류/잡화_3', '의류/잡화_4', '반려/취미/문구/도서_1',\n","       '반려/취미/문구/도서_2', '반려/취미/문구/도서_3', '반려/취미/문구/도서_4', '스포츠/레저/자동차_1',\n","       '스포츠/레저/자동차_2', '스포츠/레저/자동차_3', '스포츠/레저/자동차_4', '출산유아동_1', '출산유아동_2',\n","       '출산유아동_3', '출산유아동_4', '방문횟수_1', '방문횟수_2', '방문횟수_3', '방문횟수_4', '중분류갯수_1',\n","       '중분류갯수_2', '중분류갯수_3', '중분류갯수_4']].mean().reset_index()"],"execution_count":92,"outputs":[]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"rC72uVgb8XE2","executionInfo":{"status":"ok","timestamp":1634502808758,"user_tz":-540,"elapsed":339,"user":{"displayName":"신인철","photoUrl":"https://lh3.googleusercontent.com/a/default-user=s64","userId":"11638434393479157475"}},"outputId":"40b12eb8-0e0e-4b46-f6f8-1adcb220e51b"},"source":["clu_li = [cluster_1,cluster_2,cluster_3,cluster_4,cluster_5,cluster_6]\n","\n","for i in clu_li:\n","  print(i['연령대'].value_counts())\n","  print(i['성별'].value_counts())\n","  print('=======================================')\n","\n","#1번 군집 = 30~50대\n","#2번 군집 = 50~60대\n","#3번 군집 = 30~40대 \n","#4번 군집 = 30~50대\n","#5번 군집 = 30~40대\n","#6번 군집 = 30~40대"],"execution_count":86,"outputs":[{"output_type":"stream","name":"stdout","text":["3    469\n","4    259\n","2    222\n","5     64\n","1     48\n","Name: 연령대, dtype: int64\n","0    895\n","1    167\n","Name: 성별, dtype: int64\n","=======================================\n","4    1495\n","5     438\n","Name: 연령대, dtype: int64\n","0    1625\n","1     308\n","Name: 성별, dtype: int64\n","=======================================\n","3    1103\n","2     550\n","4     185\n","1      81\n","5       2\n","0       1\n","Name: 연령대, dtype: int64\n","0    1566\n","1     356\n","Name: 성별, dtype: int64\n","=======================================\n","3    175\n","4    112\n","2    111\n","5     26\n","1     22\n","Name: 연령대, dtype: int64\n","0    371\n","1     75\n","Name: 성별, dtype: int64\n","=======================================\n","3    120\n","2    100\n","4     70\n","5     25\n","1     15\n","0      1\n","Name: 연령대, dtype: int64\n","0    262\n","1     69\n","Name: 성별, dtype: int64\n","=======================================\n","3    1429\n","2     783\n","1     153\n","4      23\n","0       3\n","Name: 연령대, dtype: int64\n","0    1943\n","1     448\n","Name: 성별, dtype: int64\n","=======================================\n"]}]}]}