ROC_CURVE_BAGGING_methods_Approach 4 .ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Data analysis packages:\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "#from datetime import datetime as dt\n",
    "\n",
    "# Visualization packages:\n",
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "\n",
    "filename = 'df_imputed_scaled_OHE_reducedv1.pkl'\n",
    "df = pd.read_pickle(filename)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "#importing all the required ML packages\n",
    "from sklearn.linear_model import LogisticRegression #logistic regression\n",
    "from sklearn import svm #support vector Machine\n",
    "from sklearn.ensemble import RandomForestClassifier #Random Forest\n",
    "from sklearn.neighbors import KNeighborsClassifier #KNN\n",
    "from sklearn.naive_bayes import GaussianNB #Naive bayes\n",
    "from sklearn.tree import DecisionTreeClassifier #Decision Tree\n",
    "from sklearn.model_selection import train_test_split #training and testing data split\n",
    "from sklearn import metrics #accuracy measure\n",
    "from sklearn.metrics import confusion_matrix #for confusion matrix\n",
    "from sklearn.metrics import f1_score\n",
    "\n",
    "X = df[df.columns[:-1]]\n",
    "y = pd.Series(df['heartdisease'])\n",
    "\n",
    "\n",
    "#train_X,test_X,train_y,test_y =train_test_split(X,y,test_size=0.2, random_state=45)\n",
    "\n",
    "\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Building Models according to the best hyperparameters\n",
    "#found by RandomSearchCV\n",
    "from sklearn.ensemble import BaggingClassifier, VotingClassifier, ExtraTreesClassifier, RandomForestClassifier, AdaBoostClassifier, GradientBoostingClassifier\n",
    "import xgboost as xg\n",
    "model_Linear_SVM=svm.SVC(kernel='linear',C=0.1,gamma=1e-05, probability=True)\n",
    "\n",
    "model_RBF_SVM = svm.SVC(kernel='rbf',C=10,gamma=0.01, probability=True)\n",
    "model_Logistic_Regression = LogisticRegression(penalty= 'l2', C = 1, solver = 'lbfgs') \n",
    "\n",
    "\n",
    "model_Decision_Tree =DecisionTreeClassifier(class_weight=None, criterion='gini', max_depth=2,\n",
    "            max_features=None, max_leaf_nodes=10, min_samples_leaf=10,\n",
    "            min_samples_split=2, min_weight_fraction_leaf=0.0,\n",
    "            presort=False, random_state=None, splitter='random')\n",
    "\n",
    "model_RandomForest = RandomForestClassifier(n_estimators= 600,\n",
    "               max_features= 'sqrt',\n",
    "               max_depth= 30,\n",
    "               min_samples_split= 2,\n",
    "               min_samples_leaf= 4,\n",
    "               bootstrap= True)\n",
    "\n",
    "model_extraTrees = ExtraTreesClassifier(n_estimators= 1600,\n",
    "               max_features= 'sqrt',\n",
    "               max_depth= 50,\n",
    "               min_samples_split= 2,\n",
    "               min_samples_leaf= 2,\n",
    "               bootstrap= True)\n",
    "model_KNN = KNeighborsClassifier(n_neighbors=22)\n",
    "\n",
    "\n",
    "\n",
    "bagged_DT_model = BaggingClassifier(base_estimator= model_Decision_Tree, n_estimators =  800, random_state = 34)\n",
    "bagged_SVM_Linear_model = BaggingClassifier(base_estimator=model_Linear_SVM, n_estimators =  400, random_state = 36)\n",
    "bagged_SVM_RBF_model =  BaggingClassifier(base_estimator=model_RBF_SVM, n_estimators =  200 ,random_state = 37)\n",
    "bagged_Logistic_Regression_model = BaggingClassifier(base_estimator=model_Logistic_Regression,  n_estimators =  300, random_state = 38)\n",
    "bagged_model_KNN= BaggingClassifier(base_estimator=model_KNN, n_estimators =  100, random_state = 38)\n",
    "\n",
    "\n",
    "XGB_clf = xg.XGBClassifier(subsample = 0.7,\n",
    "                           reg_alpha =  10.0, \n",
    "                           learning_rate =0.1, \n",
    "                           gamma=0.2, \n",
    "                           colsample_bytree =  0.8 ,\n",
    "                           objective= 'binary:logistic',\n",
    "                           nthread=4, \n",
    "                           scale_pos_weight=1, \n",
    "                           seed=27, \n",
    "                           n_estimators = 80, \n",
    "                           max_depth = 3,\n",
    "                           min_child_weight = 3)\n",
    "\n",
    "AdaBoost_DT_model = AdaBoostClassifier(base_estimator= model_Decision_Tree, n_estimators =  900, learning_rate = 0.001, random_state = 34)\n",
    "AdaBoost_Logistic_Regression_model = AdaBoostClassifier(base_estimator=model_Logistic_Regression,  n_estimators =  1000, learning_rate = 0.01, random_state = 38)\n",
    "grad_boosting_model = GradientBoostingClassifier(learning_rate=0.1, n_estimators=70,max_depth=5, min_samples_split=600, min_samples_leaf=40, subsample=0.75, random_state=10,max_features = 3)\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "ensemble_lin_rbf=VotingClassifier(estimators=[('KNN',model_KNN),\n",
    "                                              ('RBF',model_RBF_SVM),\n",
    "                                              ('RFor',model_RandomForest),\n",
    "                                              ('LR',model_Logistic_Regression),\n",
    "                                              ('DT',model_Decision_Tree),\n",
    "                                              ('svm',model_Linear_SVM)\n",
    "                                             ],voting='soft')\n",
    "\n",
    "splits = 10\n",
    "cv = StratifiedKFold(n_splits=splits, random_state=5134)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f96bcc76898>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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>AUC Mean</th>\n",
       "      <th>std</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>RBF-SVM</th>\n",
       "      <td>0.876194</td>\n",
       "      <td>0.058047</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Linear-SVM</th>\n",
       "      <td>0.875276</td>\n",
       "      <td>0.055762</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>K-NN</th>\n",
       "      <td>0.871796</td>\n",
       "      <td>0.057658</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Logistic Regression</th>\n",
       "      <td>0.872975</td>\n",
       "      <td>0.056351</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Decision Tree</th>\n",
       "      <td>0.860369</td>\n",
       "      <td>0.061779</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Random Forest</th>\n",
       "      <td>0.860993</td>\n",
       "      <td>0.061873</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Extremely Randomized Trees</th>\n",
       "      <td>0.862138</td>\n",
       "      <td>0.060944</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Bagging Decision Tree</th>\n",
       "      <td>0.861918</td>\n",
       "      <td>0.060231</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>RBF-SVM</th>\n",
       "      <td>0.863756</td>\n",
       "      <td>0.060040</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Linear-SVM</th>\n",
       "      <td>0.864852</td>\n",
       "      <td>0.059533</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>K-NN</th>\n",
       "      <td>0.864952</td>\n",
       "      <td>0.059732</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Logistic Regression</th>\n",
       "      <td>0.865920</td>\n",
       "      <td>0.059240</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AdaBoost - DT</th>\n",
       "      <td>0.865657</td>\n",
       "      <td>0.058863</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AdaBoost - LR</th>\n",
       "      <td>0.866220</td>\n",
       "      <td>0.058452</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Gradient Tree Boosting</th>\n",
       "      <td>0.866840</td>\n",
       "      <td>0.058436</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>XGBoosting</th>\n",
       "      <td>0.867021</td>\n",
       "      <td>0.058522</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Voting Classifier</th>\n",
       "      <td>0.867373</td>\n",
       "      <td>0.058396</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                            AUC Mean       std\n",
       "RBF-SVM                     0.876194  0.058047\n",
       "Linear-SVM                  0.875276  0.055762\n",
       "K-NN                        0.871796  0.057658\n",
       "Logistic Regression         0.872975  0.056351\n",
       "Decision Tree               0.860369  0.061779\n",
       "Random Forest               0.860993  0.061873\n",
       "Extremely Randomized Trees  0.862138  0.060944\n",
       "Bagging Decision Tree       0.861918  0.060231\n",
       "RBF-SVM                     0.863756  0.060040\n",
       "Linear-SVM                  0.864852  0.059533\n",
       "K-NN                        0.864952  0.059732\n",
       "Logistic Regression         0.865920  0.059240\n",
       "AdaBoost - DT               0.865657  0.058863\n",
       "AdaBoost - LR               0.866220  0.058452\n",
       "Gradient Tree Boosting      0.866840  0.058436\n",
       "XGBoosting                  0.867021  0.058522\n",
       "Voting Classifier           0.867373  0.058396"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "##--------------------------------------------- SINGLE METHODS --------------------------------------------- \n",
    "\n",
    "import numpy as np\n",
    "from scipy import interp\n",
    "import matplotlib.pyplot as plt\n",
    "from itertools import cycle\n",
    "\n",
    "from sklearn import svm, datasets\n",
    "from sklearn.metrics import roc_curve, auc\n",
    "from sklearn.model_selection import StratifiedKFold\n",
    "\n",
    "#'aqua', 'darkorange', 'cornflowerblue'\n",
    "models = [\n",
    "    {\n",
    "        'label' : 'RBF-SVM',\n",
    "        'model': model_RBF_SVM,\n",
    "        'color': '#1b9e77',\n",
    "        'linestyle': 'solid', \n",
    "        'markers': 'H',\n",
    "         \n",
    "    },\n",
    "    {\n",
    "        'label' : 'Linear-SVM',\n",
    "        'model': model_Linear_SVM,\n",
    "        'color': '#d95f02',\n",
    "        'linestyle': 'dashed',\n",
    "        'markers': ',',\n",
    "    },\n",
    "    {\n",
    "        'label' : 'K-NN',\n",
    "        'model': model_KNN, \n",
    "        'color': '#8da0cb',\n",
    "        'linestyle': 'dashdot',\n",
    "        'markers': '',\n",
    "    },    \n",
    "    \n",
    "    {\n",
    "        'label' : 'Logistic Regression',\n",
    "        'model': model_Logistic_Regression,\n",
    "        'color': '#e7298a',\n",
    "        'linestyle': '-',\n",
    "        'markers': ''\n",
    " \n",
    "    },\n",
    "    {\n",
    "        'label' : 'Decision Tree',\n",
    "        'model': model_Decision_Tree, \n",
    "        'color': '#66a61e',\n",
    "        'linestyle': '-.',\n",
    "        'markers': ''\n",
    "    },\n",
    "    {\n",
    "        'label' : 'Random Forest',\n",
    "        'model': model_RandomForest,\n",
    "        'color': '#d95f02',\n",
    "        'linestyle': 'solid', \n",
    "        'markers': '',\n",
    "         \n",
    "    },\n",
    "    {\n",
    "        'label' : 'Extremely Randomized Trees',\n",
    "        'model': model_extraTrees,\n",
    "        'color': '#7570b3',\n",
    "        'linestyle': 'dashed',\n",
    "        'markers': ',',\n",
    "    },\n",
    "    {\n",
    "        'label' : 'Bagging Decision Tree',\n",
    "        'model': bagged_DT_model, \n",
    "        'color': '#e7298a',\n",
    "        'linestyle': '-.',\n",
    "        'markers': ''\n",
    "    },\n",
    "     {\n",
    "        'label' : 'RBF-SVM',\n",
    "        'model': bagged_SVM_RBF_model,\n",
    "        'color': '#1b9e77',\n",
    "        'linestyle': 'solid', \n",
    "        'markers': 'H',\n",
    "         \n",
    "    },\n",
    "    {\n",
    "        'label' : 'Linear-SVM',\n",
    "        'model': bagged_SVM_Linear_model,\n",
    "        'color': '#d95f02',\n",
    "        'linestyle': 'dashed',\n",
    "        'markers': ',',\n",
    "    },\n",
    "    {\n",
    "        'label' : 'K-NN',\n",
    "        'model': bagged_model_KNN, \n",
    "        'color': '#8da0cb',\n",
    "        'linestyle': 'dashdot',\n",
    "        'markers': '',\n",
    "    },    \n",
    "    \n",
    "    {\n",
    "        'label' : 'Logistic Regression',\n",
    "        'model': bagged_Logistic_Regression_model,\n",
    "        'color': '#e7298a',\n",
    "        'linestyle': '-',\n",
    "        'markers': ''\n",
    " \n",
    "    },\n",
    "    {\n",
    "        'label' : 'AdaBoost - DT',\n",
    "        'model': AdaBoost_DT_model,\n",
    "        'color': '#e41a1c',\n",
    "        'linestyle': 'solid', \n",
    "        'markers': '',\n",
    "         \n",
    "    },\n",
    "    {\n",
    "        'label' : 'AdaBoost - LR',\n",
    "        'model': AdaBoost_Logistic_Regression_model,\n",
    "        'color': '#377eb8',\n",
    "        'linestyle': 'dashed',\n",
    "        'markers': ',',\n",
    "    },\n",
    "    {\n",
    "        'label' : 'Gradient Tree Boosting',\n",
    "        'model': grad_boosting_model, \n",
    "        'color': '#4daf4a',\n",
    "        'linestyle': 'dashdot',\n",
    "        'markers': '',\n",
    "    },    \n",
    "    \n",
    "    {\n",
    "        'label' : 'XGBoosting',\n",
    "        'model': XGB_clf,\n",
    "        'color': '#984ea3',\n",
    "        'linestyle': '-',\n",
    "        'markers': ''\n",
    " \n",
    "    },\n",
    "    {\n",
    "        'label' : 'Voting Classifier',\n",
    "        'model': ensemble_lin_rbf, \n",
    "        'color': '#ff7f00',\n",
    "        'linestyle': '-.',\n",
    "        'markers': ''\n",
    "    },\n",
    "    \n",
    "\n",
    "\n",
    "\n",
    "]\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "# #############################################################################\n",
    "# Classification and ROC analysis\n",
    "\n",
    "\n",
    "\n",
    "tprs = []\n",
    "aucs = []\n",
    "mean_fpr = np.linspace(0, 1, 100)\n",
    "\n",
    "aucs_mean = []\n",
    "labels = []\n",
    "std_mean = []\n",
    "\n",
    "\n",
    "   \n",
    "\n",
    "\n",
    "plt.figure(figsize=(12,12))\n",
    "for m in models:\n",
    "    i = 0\n",
    "    for i,(train_index, test_index) in enumerate(cv.split(X, y)):\n",
    "        \n",
    "        print('[Fold %d/%d]' % (i + 1, splits))\n",
    "        #print(\"TRAIN:\", train_index, \"\\nTEST:\", test_index)\n",
    "        train_X = X.iloc[train_index]\n",
    "        train_y = y.iloc[train_index]\n",
    "        test_X = X.iloc[test_index]\n",
    "        test_y = y.iloc[test_index]\n",
    "        probas_ = m['model'].fit(train_X, train_y).predict_proba(test_X)\n",
    "        \n",
    "        # Compute ROC curve and area the curve\n",
    "        fpr, tpr, thresholds = roc_curve(test_y, probas_[:, 1])\n",
    "        tprs.append(interp(mean_fpr, fpr, tpr))\n",
    "        tprs[-1][0] = 0.0\n",
    "        roc_auc = auc(fpr, tpr)\n",
    "        aucs.append(roc_auc)\n",
    "        #plt.plot(fpr, tpr, lw=1, alpha=0.3,\n",
    "        #         label='ROC fold %d (AUC = %0.2f)' % (i, roc_auc))\n",
    "\n",
    "        i += 1\n",
    "    \n",
    "\n",
    "    mean_tpr = np.mean(tprs, axis=0)\n",
    "    mean_tpr[-1] = 1.0\n",
    "    mean_auc = auc(mean_fpr, mean_tpr)\n",
    "    std_auc = np.std(aucs)\n",
    "\n",
    "    plt.plot(mean_fpr, mean_tpr, color= m['color'], linestyle = m['linestyle'], marker= m['markers'],\n",
    "             label=r'[%s]  AUC = %0.5f $\\pm$ %0.4f ' % (m['label'] ,mean_auc, std_auc),\n",
    "             lw=2, alpha=.8)\n",
    "\n",
    "    aucs_mean.append(mean_auc)\n",
    "    std_mean.append(std_auc)\n",
    "    labels.append(m['label']) \n",
    "    \n",
    "\n",
    "\n",
    "\n",
    "    #plt.fill_between(mean_fpr, tprs_lower, tprs_upper, color='grey', alpha=.2,\n",
    "                    # label=r'$\\pm$ 1 std. dev.')\n",
    "    \n",
    "    plt.xlim([-0.05, 1.05])\n",
    "    plt.ylim([-0.05, 1.05])\n",
    "    plt.xlabel('False Positive Rate', fontsize=12)\n",
    "    plt.ylabel('True Positive Rate', fontsize=12)\n",
    "    plt.title('Receiver Operating Characteristic (ROC)', fontsize=14)\n",
    "    plt.legend(loc=\"lower right\")\n",
    "plt.plot([0, 1], [0, 1], linestyle='--', lw=2, color='r',\n",
    "             label='Luck', alpha=.8)\n",
    "plt.show()\n",
    "AUCs=pd.DataFrame({'AUC Mean':aucs_mean, 'std':std_mean },index = labels)       \n",
    "AUCs\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[Fold 1/10]\n",
      "TRAIN: [ 80  81  82  84  85  86  87  88  89  90  92  93  94  98  99 100 101 102\n",
      " 103 105 112 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128\n",
      " 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146\n",
      " 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164\n",
      " 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182\n",
      " 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200\n",
      " 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218\n",
      " 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236\n",
      " 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254\n",
      " 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272\n",
      " 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290\n",
      " 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307 308\n",
      " 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323 324 325 326\n",
      " 327 328 329 330 331 332 333 334 335 336 337 338 339 340 341 342 343 344\n",
      " 345 346 347 348 349 350 351 352 353 354 355 356 357 358 359 360 361 362\n",
      " 363 364 365 366 367 368 369 370 371 372 373 374 375 376 377 378 379 380\n",
      " 381 382 383 384 385 386 387 388 389 390 391 392 393 394 395 396 397 398\n",
      " 399 400 401 402 403 404 405 406 407 408 409 410 411 412 413 414 415 416\n",
      " 417 418 419 420 421 422 423 424 425 426 427 428 429 430 431 432 433 434\n",
      " 435 436 437 438 439 440 441 442 443 444 445 446 447 448 449 450 451 452\n",
      " 453 454 455 456 457 458 459 460 461 462 463 464 465 466 467 468 469 470\n",
      " 471 472 473 474 475 476 477 478 479 480 481 482 483 484 485 486 487 488\n",
      " 489 490 491 492 493 494 495 496 497 498 499 500 501 502 503 504 505 506\n",
      " 507 508 509 510 511 512 513 514 515 516 517 518 519 520 521 522 523 524\n",
      " 525 526 527 528 529 530 531 532 533 534 535 536 537 538 539 540 541 542\n",
      " 543 544 545 546 547 548 549 550 551 552 553 554 555 556 557 558 559 560\n",
      " 561 562 563 564 565 566 567 568 569 570 571 572 573 574 575 576 577 578\n",
      " 579 580 581 582 583 584 585 586 587 588 589 590 591 592 593 594 595 596\n",
      " 597 598 599 600 601 602 603 604 605 606 607 608 609 610 611 612 613 614\n",
      " 615 616 617 618 619 620 621 622 623 624 625 626 627 628 629 630 631 632\n",
      " 633 634 635 636 637 638 639 640 641 642 643 644 645 646 647 648 649 650\n",
      " 651 652 653 654 655 656 657 658 659 660 661 662 663 664 665 666 667 668\n",
      " 669 670 671 672 673 674 675 676 677 678 679 680 681 682 683 684 685 686\n",
      " 687 688 689 690 691 692 693 694 695 696 697 698 699 700 701 702 703 704\n",
      " 705 706 707 708 709 710 711 712 713 714 715 716 717 718 719 720 721 722\n",
      " 723 724 725 726 727 728 729 730 731 732 733 734 735 736 737 738 739 740\n",
      " 741 742 743 744 745 746 747 748 749 750 751 752 753 754 755 756 757 758\n",
      " 759 760 761 762 763 764 765 766 767 768 769 770 771 772 773 774 775 776\n",
      " 777 778 779 780 781 782 783 784 785 786 787 788 789 790 791 792 793 794\n",
      " 795 796 797 798 799 800 801 802 803 804 805 806 807 808 809 810 811 812\n",
      " 813 814 815 816 817 818 819 820 821 822 823 824 825 826 827 828 829 830\n",
      " 831 832 833 834 835 836 837 838 839 840 841 842 843 844 845 846 847 848\n",
      " 849 850 851 852 853 854 855 856 857 858 859 860 861 862 863 864 865 866\n",
      " 867 868 869 870 871 872 873 874 875 876 877 878 879 880 881 882 883 884\n",
      " 885 886 887 888 889 890 891 892 893 894 895 896 897 898 899 900 901 902\n",
      " 903 904 905 906 907 908 909 910 911 912 913 914 915 916 917 918 919] \n",
      "TEST: [  0   1   2   3   4   5   6   7   8   9  10  11  12  13  14  15  16  17\n",
      "  18  19  20  21  22  23  24  25  26  27  28  29  30  31  32  33  34  35\n",
      "  36  37  38  39  40  41  42  43  44  45  46  47  48  49  50  51  52  53\n",
      "  54  55  56  57  58  59  60  61  62  63  64  65  66  67  68  69  70  71\n",
      "  72  73  74  75  76  77  78  79  83  91  95  96  97 104 106 107 108 109\n",
      " 110 111 113]\n",
      "[Fold 2/10]\n",
      "TRAIN: [  0   1   2   3   4   5   6   7   8   9  10  11  12  13  14  15  16  17\n",
      "  18  19  20  21  22  23  24  25  26  27  28  29  30  31  32  33  34  35\n",
      "  36  37  38  39  40  41  42  43  44  45  46  47  48  49  50  51  52  53\n",
      "  54  55  56  57  58  59  60  61  62  63  64  65  66  67  68  69  70  71\n",
      "  72  73  74  75  76  77  78  79  83  91  95  96  97 104 106 107 108 109\n",
      " 110 111 113 150 151 152 159 160 162 163 164 165 166 167 169 171 173 176\n",
      " 178 179 182 183 185 186 190 194 196 197 198 200 201 202 203 204 208 210\n",
      " 212 215 216 217 218 219 220 221 222 225 226 227 230 231 232 233 234 235\n",
      " 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253\n",
      " 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271\n",
      " 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289\n",
      " 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307\n",
      " 308 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323 324 325\n",
      " 326 327 328 329 330 331 332 333 334 335 336 337 338 339 340 341 342 343\n",
      " 344 345 346 347 348 349 350 351 352 353 354 355 356 357 358 359 360 361\n",
      " 362 363 364 365 366 367 368 369 370 371 372 373 374 375 376 377 378 379\n",
      " 380 381 382 383 384 385 386 387 388 389 390 391 392 393 394 395 396 397\n",
      " 398 399 400 401 402 403 404 405 406 407 408 409 410 411 412 413 414 415\n",
      " 416 417 418 419 420 421 422 423 424 425 426 427 428 429 430 431 432 433\n",
      " 434 435 436 437 438 439 440 441 442 443 444 445 446 447 448 449 450 451\n",
      " 452 453 454 455 456 457 458 459 460 461 462 463 464 465 466 467 468 469\n",
      " 470 471 472 473 474 475 476 477 478 479 480 481 482 483 484 485 486 487\n",
      " 488 489 490 491 492 493 494 495 496 497 498 499 500 501 502 503 504 505\n",
      " 506 507 508 509 510 511 512 513 514 515 516 517 518 519 520 521 522 523\n",
      " 524 525 526 527 528 529 530 531 532 533 534 535 536 537 538 539 540 541\n",
      " 542 543 544 545 546 547 548 549 550 551 552 553 554 555 556 557 558 559\n",
      " 560 561 562 563 564 565 566 567 568 569 570 571 572 573 574 575 576 577\n",
      " 578 579 580 581 582 583 584 585 586 587 588 589 590 591 592 593 594 595\n",
      " 596 597 598 599 600 601 602 603 604 605 606 607 608 609 610 611 612 613\n",
      " 614 615 616 617 618 619 620 621 622 623 624 625 626 627 628 629 630 631\n",
      " 632 633 634 635 636 637 638 639 640 641 642 643 644 645 646 647 648 649\n",
      " 650 651 652 653 654 655 656 657 658 659 660 661 662 663 664 665 666 667\n",
      " 668 669 670 671 672 673 674 675 676 677 678 679 680 681 682 683 684 685\n",
      " 686 687 688 689 690 691 692 693 694 695 696 697 698 699 700 701 702 703\n",
      " 704 705 706 707 708 709 710 711 712 713 714 715 716 717 718 719 720 721\n",
      " 722 723 724 725 726 727 728 729 730 731 732 733 734 735 736 737 738 739\n",
      " 740 741 742 743 744 745 746 747 748 749 750 751 752 753 754 755 756 757\n",
      " 758 759 760 761 762 763 764 765 766 767 768 769 770 771 772 773 774 775\n",
      " 776 777 778 779 780 781 782 783 784 785 786 787 788 789 790 791 792 793\n",
      " 794 795 796 797 798 799 800 801 802 803 804 805 806 807 808 809 810 811\n",
      " 812 813 814 815 816 817 818 819 820 821 822 823 824 825 826 827 828 829\n",
      " 830 831 832 833 834 835 836 837 838 839 840 841 842 843 844 845 846 847\n",
      " 848 849 850 851 852 853 854 855 856 857 858 859 860 861 862 863 864 865\n",
      " 866 867 868 869 870 871 872 873 874 875 876 877 878 879 880 881 882 883\n",
      " 884 885 886 887 888 889 890 891 892 893 894 895 896 897 898 899 900 901\n",
      " 902 903 904 905 906 907 908 909 910 911 912 913 914 915 916 917 918 919] \n",
      "TEST: [ 80  81  82  84  85  86  87  88  89  90  92  93  94  98  99 100 101 102\n",
      " 103 105 112 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128\n",
      " 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146\n",
      " 147 148 149 153 154 155 156 157 158 161 168 170 172 174 175 177 180 181\n",
      " 184 187 188 189 191 192 193 195 199 205 206 207 209 211 213 214 223 224\n",
      " 228 229]\n",
      "[Fold 3/10]\n",
      "TRAIN: [  0   1   2   3   4   5   6   7   8   9  10  11  12  13  14  15  16  17\n",
      "  18  19  20  21  22  23  24  25  26  27  28  29  30  31  32  33  34  35\n",
      "  36  37  38  39  40  41  42  43  44  45  46  47  48  49  50  51  52  53\n",
      "  54  55  56  57  58  59  60  61  62  63  64  65  66  67  68  69  70  71\n",
      "  72  73  74  75  76  77  78  79  80  81  82  83  84  85  86  87  88  89\n",
      "  90  91  92  93  94  95  96  97  98  99 100 101 102 103 104 105 106 107\n",
      " 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125\n",
      " 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143\n",
      " 144 145 146 147 148 149 153 154 155 156 157 158 161 168 170 172 174 175\n",
      " 177 180 181 184 187 188 189 191 192 193 195 199 205 206 207 209 211 213\n",
      " 214 222 223 224 225 226 227 228 229 230 233 234 238 239 240 241 242 244\n",
      " 249 250 252 253 254 255 256 257 258 260 262 263 269 271 273 275 276 277\n",
      " 279 281 283 287 288 289 291 295 302 303 305 307 308 309 310 312 313 315\n",
      " 317 318 320 323 324 325 327 328 329 330 331 332 334 337 338 340 341 342\n",
      " 343 345 346 347 348 349 350 351 352 353 354 355 356 357 358 359 360 361\n",
      " 362 363 364 365 366 367 368 369 370 371 372 373 374 375 376 377 378 379\n",
      " 380 381 382 383 384 385 386 387 388 389 390 391 392 393 394 395 396 397\n",
      " 398 399 400 401 402 403 404 405 406 407 408 409 410 411 412 413 414 415\n",
      " 416 417 418 419 420 421 422 423 424 425 426 427 428 429 430 431 432 433\n",
      " 434 435 436 437 438 439 440 441 442 443 444 445 446 447 448 449 450 451\n",
      " 452 453 454 455 456 457 458 459 460 461 462 463 464 465 466 467 468 469\n",
      " 470 471 472 473 474 475 476 477 478 479 480 481 482 483 484 485 486 487\n",
      " 488 489 490 491 492 493 494 495 496 497 498 499 500 501 502 503 504 505\n",
      " 506 507 508 509 510 511 512 513 514 515 516 517 518 519 520 521 522 523\n",
      " 524 525 526 527 528 529 530 531 532 533 534 535 536 537 538 539 540 541\n",
      " 542 543 544 545 546 547 548 549 550 551 552 553 554 555 556 557 558 559\n",
      " 560 561 562 563 564 565 566 567 568 569 570 571 572 573 574 575 576 577\n",
      " 578 579 580 581 582 583 584 585 586 587 588 589 590 591 592 593 594 595\n",
      " 596 597 598 599 600 601 602 603 604 605 606 607 608 609 610 611 612 613\n",
      " 614 615 616 617 618 619 620 621 622 623 624 625 626 627 628 629 630 631\n",
      " 632 633 634 635 636 637 638 639 640 641 642 643 644 645 646 647 648 649\n",
      " 650 651 652 653 654 655 656 657 658 659 660 661 662 663 664 665 666 667\n",
      " 668 669 670 671 672 673 674 675 676 677 678 679 680 681 682 683 684 685\n",
      " 686 687 688 689 690 691 692 693 694 695 696 697 698 699 700 701 702 703\n",
      " 704 705 706 707 708 709 710 711 712 713 714 715 716 717 718 719 720 721\n",
      " 722 723 724 725 726 727 728 729 730 731 732 733 734 735 736 737 738 739\n",
      " 740 741 742 743 744 745 746 747 748 749 750 751 752 753 754 755 756 757\n",
      " 758 759 760 761 762 763 764 765 766 767 768 769 770 771 772 773 774 775\n",
      " 776 777 778 779 780 781 782 783 784 785 786 787 788 789 790 791 792 793\n",
      " 794 795 796 797 798 799 800 801 802 803 804 805 806 807 808 809 810 811\n",
      " 812 813 814 815 816 817 818 819 820 821 822 823 824 825 826 827 828 829\n",
      " 830 831 832 833 834 835 836 837 838 839 840 841 842 843 844 845 846 847\n",
      " 848 849 850 851 852 853 854 855 856 857 858 859 860 861 862 863 864 865\n",
      " 866 867 868 869 870 871 872 873 874 875 876 877 878 879 880 881 882 883\n",
      " 884 885 886 887 888 889 890 891 892 893 894 895 896 897 898 899 900 901\n",
      " 902 903 904 905 906 907 908 909 910 911 912 913 914 915 916 917 918 919] \n",
      "TEST: [150 151 152 159 160 162 163 164 165 166 167 169 171 173 176 178 179 182\n",
      " 183 185 186 190 194 196 197 198 200 201 202 203 204 208 210 212 215 216\n",
      " 217 218 219 220 221 231 232 235 236 237 243 245 246 247 248 251 259 261\n",
      " 264 265 266 267 268 270 272 274 278 280 282 284 285 286 290 292 293 294\n",
      " 296 297 298 299 300 301 304 306 311 314 316 319 321 322 326 333 335 336\n",
      " 339 344]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[Fold 4/10]\n",
      "TRAIN: [  0   1   2   3   4   5   6   7   8   9  10  11  12  13  14  15  16  17\n",
      "  18  19  20  21  22  23  24  25  26  27  28  29  30  31  32  33  34  35\n",
      "  36  37  38  39  40  41  42  43  44  45  46  47  48  49  50  51  52  53\n",
      "  54  55  56  57  58  59  60  61  62  63  64  65  66  67  68  69  70  71\n",
      "  72  73  74  75  76  77  78  79  80  81  82  83  84  85  86  87  88  89\n",
      "  90  91  92  93  94  95  96  97  98  99 100 101 102 103 104 105 106 107\n",
      " 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125\n",
      " 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143\n",
      " 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161\n",
      " 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179\n",
      " 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197\n",
      " 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215\n",
      " 216 217 218 219 220 221 223 224 228 229 231 232 235 236 237 243 245 246\n",
      " 247 248 251 259 261 264 265 266 267 268 270 272 274 278 280 282 284 285\n",
      " 286 290 292 293 294 296 297 298 299 300 301 304 305 306 307 308 309 310\n",
      " 311 312 313 314 315 316 317 318 319 320 321 322 323 324 325 326 327 328\n",
      " 329 330 331 332 333 334 335 336 337 338 339 340 341 342 343 344 345 346\n",
      " 348 349 350 351 355 356 357 358 361 363 364 365 367 368 369 370 372 374\n",
      " 376 378 380 381 383 384 386 390 392 393 394 395 397 399 400 401 402 404\n",
      " 408 409 410 411 412 413 415 416 417 421 424 425 427 428 429 430 431 432\n",
      " 433 437 439 440 446 448 449 450 451 453 454 455 456 457 460 462 465 466\n",
      " 467 468 471 472 473 474 475 476 477 479 480 481 482 483 484 485 486 487\n",
      " 488 489 490 491 492 493 494 495 496 497 498 499 500 501 502 503 504 505\n",
      " 506 507 508 509 510 511 512 513 514 515 516 517 518 519 520 521 522 523\n",
      " 524 525 526 527 528 529 530 531 532 533 534 535 536 537 538 539 540 541\n",
      " 542 543 544 545 546 547 548 549 550 551 552 553 554 555 556 557 558 559\n",
      " 560 561 562 563 564 565 566 567 568 569 570 571 572 573 574 575 576 577\n",
      " 578 579 580 581 582 583 584 585 586 587 588 589 590 591 592 593 594 595\n",
      " 596 597 598 599 600 601 602 603 604 605 606 607 608 609 610 611 612 613\n",
      " 614 615 616 617 618 619 620 621 622 623 624 625 626 627 628 629 630 631\n",
      " 632 633 634 635 636 637 638 639 640 641 642 643 644 645 646 647 648 649\n",
      " 650 651 652 653 654 655 656 657 658 659 660 661 662 663 664 665 666 667\n",
      " 668 669 670 671 672 673 674 675 676 677 678 679 680 681 682 683 684 685\n",
      " 686 687 688 689 690 691 692 693 694 695 696 697 698 699 700 701 702 703\n",
      " 704 705 706 707 708 709 710 711 712 713 714 715 716 717 718 719 720 721\n",
      " 722 723 724 725 726 727 728 729 730 731 732 733 734 735 736 737 738 739\n",
      " 740 741 742 743 744 745 746 747 748 749 750 751 752 753 754 755 756 757\n",
      " 758 759 760 761 762 763 764 765 766 767 768 769 770 771 772 773 774 775\n",
      " 776 777 778 779 780 781 782 783 784 785 786 787 788 789 790 791 792 793\n",
      " 794 795 796 797 798 799 800 801 802 803 804 805 806 807 808 809 810 811\n",
      " 812 813 814 815 816 817 818 819 820 821 822 823 824 825 826 827 828 829\n",
      " 830 831 832 833 834 835 836 837 838 839 840 841 842 843 844 845 846 847\n",
      " 848 849 850 851 852 853 854 855 856 857 858 859 860 861 862 863 864 865\n",
      " 866 867 868 869 870 871 872 873 874 875 876 877 878 879 880 881 882 883\n",
      " 884 885 886 887 888 889 890 891 892 893 894 895 896 897 898 899 900 901\n",
      " 902 903 904 905 906 907 908 909 910 911 912 913 914 915 916 917 918 919] \n",
      "TEST: [222 225 226 227 230 233 234 238 239 240 241 242 244 249 250 252 253 254\n",
      " 255 256 257 258 260 262 263 269 271 273 275 276 277 279 281 283 287 288\n",
      " 289 291 295 302 303 347 352 353 354 359 360 362 366 371 373 375 377 379\n",
      " 382 385 387 388 389 391 396 398 403 405 406 407 414 418 419 420 422 423\n",
      " 426 434 435 436 438 441 442 443 444 445 447 452 458 459 461 463 464 469\n",
      " 470 478]\n",
      "[Fold 5/10]\n",
      "TRAIN: [  0   1   2   3   4   5   6   7   8   9  10  11  12  13  14  15  16  17\n",
      "  18  19  20  21  22  23  24  25  26  27  28  29  30  31  32  33  34  35\n",
      "  36  37  38  39  40  41  42  43  44  45  46  47  48  49  50  51  52  53\n",
      "  54  55  56  57  58  59  60  61  62  63  64  65  66  67  68  69  70  71\n",
      "  72  73  74  75  76  77  78  79  80  81  82  83  84  85  86  87  88  89\n",
      "  90  91  92  93  94  95  96  97  98  99 100 101 102 103 104 105 106 107\n",
      " 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125\n",
      " 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143\n",
      " 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161\n",
      " 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179\n",
      " 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197\n",
      " 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215\n",
      " 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233\n",
      " 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251\n",
      " 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269\n",
      " 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287\n",
      " 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 306\n",
      " 311 314 316 319 321 322 326 333 335 336 339 344 347 352 353 354 359 360\n",
      " 362 366 367 368 369 370 371 372 373 374 375 376 377 378 379 380 381 382\n",
      " 383 384 385 386 387 388 389 390 391 392 393 394 395 396 397 398 399 400\n",
      " 401 402 403 404 405 406 407 408 409 410 411 412 413 414 415 416 417 418\n",
      " 419 420 421 422 423 424 425 426 427 428 429 430 431 432 433 434 435 436\n",
      " 437 438 439 440 441 442 443 444 445 446 447 448 449 450 451 452 453 454\n",
      " 455 456 457 458 459 460 461 462 463 464 465 466 467 468 469 470 471 472\n",
      " 473 474 475 476 477 478 481 482 483 485 487 488 490 492 494 495 496 497\n",
      " 498 499 500 501 503 504 505 506 507 508 509 510 512 516 517 519 521 522\n",
      " 523 526 527 528 530 532 533 534 535 536 537 538 539 544 547 549 556 557\n",
      " 559 560 561 562 563 564 565 569 571 573 574 575 577 578 579 582 583 584\n",
      " 586 587 588 589 590 591 592 593 594 595 596 603 608 609 610 611 612 613\n",
      " 614 615 616 617 618 619 620 621 622 623 624 625 626 627 628 629 630 631\n",
      " 632 633 634 635 636 637 638 639 640 641 642 643 644 645 646 647 648 649\n",
      " 650 651 652 653 654 655 656 657 658 659 660 661 662 663 664 665 666 667\n",
      " 668 669 670 671 672 673 674 675 676 677 678 679 680 681 682 683 684 685\n",
      " 686 687 688 689 690 691 692 693 694 695 696 697 698 699 700 701 702 703\n",
      " 704 705 706 707 708 709 710 711 712 713 714 715 716 717 718 719 720 721\n",
      " 722 723 724 725 726 727 728 729 730 731 732 733 734 735 736 737 738 739\n",
      " 740 741 742 743 744 745 746 747 748 749 750 751 752 753 754 755 756 757\n",
      " 758 759 760 761 762 763 764 765 766 767 768 769 770 771 772 773 774 775\n",
      " 776 777 778 779 780 781 782 783 784 785 786 787 788 789 790 791 792 793\n",
      " 794 795 796 797 798 799 800 801 802 803 804 805 806 807 808 809 810 811\n",
      " 812 813 814 815 816 817 818 819 820 821 822 823 824 825 826 827 828 829\n",
      " 830 831 832 833 834 835 836 837 838 839 840 841 842 843 844 845 846 847\n",
      " 848 849 850 851 852 853 854 855 856 857 858 859 860 861 862 863 864 865\n",
      " 866 867 868 869 870 871 872 873 874 875 876 877 878 879 880 881 882 883\n",
      " 884 885 886 887 888 889 890 891 892 893 894 895 896 897 898 899 900 901\n",
      " 902 903 904 905 906 907 908 909 910 911 912 913 914 915 916 917 918 919] \n",
      "TEST: [305 307 308 309 310 312 313 315 317 318 320 323 324 325 327 328 329 330\n",
      " 331 332 334 337 338 340 341 342 343 345 346 348 349 350 351 355 356 357\n",
      " 358 361 363 364 365 479 480 484 486 489 491 493 502 511 513 514 515 518\n",
      " 520 524 525 529 531 540 541 542 543 545 546 548 550 551 552 553 554 555\n",
      " 558 566 567 568 570 572 576 580 581 585 597 598 599 600 601 602 604 605\n",
      " 606 607]\n",
      "[Fold 6/10]\n",
      "TRAIN: [  0   1   2   3   4   5   6   7   8   9  10  11  12  13  14  15  16  17\n",
      "  18  19  20  21  22  23  24  25  26  27  28  29  30  31  32  33  34  35\n",
      "  36  37  38  39  40  41  42  43  44  45  46  47  48  49  50  51  52  53\n",
      "  54  55  56  57  58  59  60  61  62  63  64  65  66  67  68  69  70  71\n",
      "  72  73  74  75  76  77  78  79  80  81  82  83  84  85  86  87  88  89\n",
      "  90  91  92  93  94  95  96  97  98  99 100 101 102 103 104 105 106 107\n",
      " 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125\n",
      " 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143\n",
      " 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161\n",
      " 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179\n",
      " 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197\n",
      " 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215\n",
      " 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233\n",
      " 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251\n",
      " 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269\n",
      " 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287\n",
      " 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305\n",
      " 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323\n",
      " 324 325 326 327 328 329 330 331 332 333 334 335 336 337 338 339 340 341\n",
      " 342 343 344 345 346 347 348 349 350 351 352 353 354 355 356 357 358 359\n",
      " 360 361 362 363 364 365 366 371 373 375 377 379 382 385 387 388 389 391\n",
      " 396 398 403 405 406 407 414 418 419 420 422 423 426 432 433 434 435 436\n",
      " 437 438 439 440 441 442 443 444 445 446 447 448 449 450 451 452 453 454\n",
      " 455 456 457 458 459 460 461 462 463 464 465 466 467 468 469 470 471 472\n",
      " 473 474 475 476 477 478 479 480 481 482 483 484 485 486 487 488 489 490\n",
      " 491 492 493 494 495 496 497 498 499 500 501 502 503 504 505 506 507 508\n",
      " 509 510 511 512 513 514 515 516 517 518 519 520 521 522 523 524 525 526\n",
      " 527 528 529 530 531 532 533 534 535 536 537 538 539 540 541 542 543 544\n",
      " 545 546 547 548 549 550 551 552 553 554 555 556 557 558 559 560 561 562\n",
      " 563 564 565 566 567 568 569 570 571 572 573 574 575 576 577 578 579 580\n",
      " 581 582 583 584 585 586 587 588 589 590 591 592 593 594 595 596 597 598\n",
      " 599 600 601 602 603 604 605 606 607 614 638 644 648 652 664 665 666 667\n",
      " 668 669 670 671 672 673 674 675 676 677 678 679 680 681 682 683 684 685\n",
      " 686 687 688 689 690 691 692 693 694 695 696 697 698 699 700 701 702 703\n",
      " 704 705 706 707 708 709 710 711 712 713 714 715 716 717 718 719 720 721\n",
      " 722 723 724 725 726 727 728 729 730 731 732 733 734 735 736 737 738 739\n",
      " 740 741 742 743 744 745 746 747 748 749 750 751 752 753 754 755 756 757\n",
      " 758 759 760 761 762 763 764 765 766 767 768 769 770 771 772 773 774 775\n",
      " 776 777 778 779 780 781 782 783 784 785 786 787 788 789 790 791 792 793\n",
      " 794 795 796 797 798 799 800 801 802 803 804 805 806 807 808 809 810 811\n",
      " 812 813 814 815 816 817 818 819 820 821 822 823 824 825 826 827 828 829\n",
      " 830 831 832 833 834 835 836 837 838 839 840 841 842 843 844 845 846 847\n",
      " 848 849 850 851 852 853 854 855 856 857 858 859 860 861 862 863 864 865\n",
      " 866 867 868 869 870 871 872 873 874 875 876 877 878 879 880 881 882 883\n",
      " 884 885 886 887 888 889 890 891 892 893 894 895 896 897 898 899 900 901\n",
      " 902 903 904 905 906 907 908 909 910 911 912 913 914 915 916 917 918 919] \n",
      "TEST: [367 368 369 370 372 374 376 378 380 381 383 384 386 390 392 393 394 395\n",
      " 397 399 400 401 402 404 408 409 410 411 412 413 415 416 417 421 424 425\n",
      " 427 428 429 430 431 608 609 610 611 612 613 615 616 617 618 619 620 621\n",
      " 622 623 624 625 626 627 628 629 630 631 632 633 634 635 636 637 639 640\n",
      " 641 642 643 645 646 647 649 650 651 653 654 655 656 657 658 659 660 661\n",
      " 662 663]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[Fold 7/10]\n",
      "TRAIN: [  0   1   2   3   4   5   6   7   8   9  10  11  12  13  14  15  16  17\n",
      "  18  19  20  21  22  23  24  25  26  27  28  29  30  31  32  33  34  35\n",
      "  36  37  38  39  40  41  42  43  44  45  46  47  48  49  50  51  52  53\n",
      "  54  55  56  57  58  59  60  61  62  63  64  65  66  67  68  69  70  71\n",
      "  72  73  74  75  76  77  78  79  80  81  82  83  84  85  86  87  88  89\n",
      "  90  91  92  93  94  95  96  97  98  99 100 101 102 103 104 105 106 107\n",
      " 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125\n",
      " 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143\n",
      " 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161\n",
      " 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179\n",
      " 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197\n",
      " 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215\n",
      " 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233\n",
      " 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251\n",
      " 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269\n",
      " 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287\n",
      " 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305\n",
      " 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323\n",
      " 324 325 326 327 328 329 330 331 332 333 334 335 336 337 338 339 340 341\n",
      " 342 343 344 345 346 347 348 349 350 351 352 353 354 355 356 357 358 359\n",
      " 360 361 362 363 364 365 366 367 368 369 370 371 372 373 374 375 376 377\n",
      " 378 379 380 381 382 383 384 385 386 387 388 389 390 391 392 393 394 395\n",
      " 396 397 398 399 400 401 402 403 404 405 406 407 408 409 410 411 412 413\n",
      " 414 415 416 417 418 419 420 421 422 423 424 425 426 427 428 429 430 431\n",
      " 434 435 436 438 441 442 443 444 445 447 452 458 459 461 463 464 469 470\n",
      " 478 479 480 484 486 489 491 493 499 500 501 502 503 504 505 506 507 508\n",
      " 509 510 511 512 513 514 515 516 517 518 519 520 521 522 523 524 525 526\n",
      " 527 528 529 530 531 532 533 534 535 536 537 538 539 540 541 542 543 544\n",
      " 545 546 547 548 549 550 551 552 553 554 555 556 557 558 559 560 561 562\n",
      " 563 564 565 566 567 568 569 570 571 572 573 574 575 576 577 578 579 580\n",
      " 581 582 583 584 585 586 587 588 589 590 591 592 593 594 595 596 597 598\n",
      " 599 600 601 602 603 604 605 606 607 608 609 610 611 612 613 614 615 616\n",
      " 617 618 619 620 621 622 623 624 625 626 627 628 629 630 631 632 633 634\n",
      " 635 636 637 638 639 640 641 642 643 644 645 646 647 648 649 650 651 652\n",
      " 653 654 655 656 657 658 659 660 661 662 663 706 716 717 718 719 720 721\n",
      " 722 723 724 725 726 727 728 729 730 731 732 733 734 735 736 737 738 739\n",
      " 740 741 742 743 744 745 746 747 748 749 750 751 752 753 754 755 756 757\n",
      " 758 759 760 761 762 763 764 765 766 767 768 769 770 771 772 773 774 775\n",
      " 776 777 778 779 780 781 782 783 784 785 786 787 788 789 790 791 792 793\n",
      " 794 795 796 797 798 799 800 801 802 803 804 805 806 807 808 809 810 811\n",
      " 812 813 814 815 816 817 818 819 820 821 822 823 824 825 826 827 828 829\n",
      " 830 831 832 833 834 835 836 837 838 839 840 841 842 843 844 845 846 847\n",
      " 848 849 850 851 852 853 854 855 856 857 858 859 860 861 862 863 864 865\n",
      " 866 867 868 869 870 871 872 873 874 875 876 877 878 879 880 881 882 883\n",
      " 884 885 886 887 888 889 890 891 892 893 894 895 896 897 898 899 900 901\n",
      " 902 903 904 905 906 907 908 909 910 911 912 913 914 915 916 917 918 919] \n",
      "TEST: [432 433 437 439 440 446 448 449 450 451 453 454 455 456 457 460 462 465\n",
      " 466 467 468 471 472 473 474 475 476 477 481 482 483 485 487 488 490 492\n",
      " 494 495 496 497 498 664 665 666 667 668 669 670 671 672 673 674 675 676\n",
      " 677 678 679 680 681 682 683 684 685 686 687 688 689 690 691 692 693 694\n",
      " 695 696 697 698 699 700 701 702 703 704 705 707 708 709 710 711 712 713\n",
      " 714 715]\n",
      "[Fold 8/10]\n",
      "TRAIN: [  0   1   2   3   4   5   6   7   8   9  10  11  12  13  14  15  16  17\n",
      "  18  19  20  21  22  23  24  25  26  27  28  29  30  31  32  33  34  35\n",
      "  36  37  38  39  40  41  42  43  44  45  46  47  48  49  50  51  52  53\n",
      "  54  55  56  57  58  59  60  61  62  63  64  65  66  67  68  69  70  71\n",
      "  72  73  74  75  76  77  78  79  80  81  82  83  84  85  86  87  88  89\n",
      "  90  91  92  93  94  95  96  97  98  99 100 101 102 103 104 105 106 107\n",
      " 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125\n",
      " 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143\n",
      " 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161\n",
      " 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179\n",
      " 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197\n",
      " 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215\n",
      " 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233\n",
      " 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251\n",
      " 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269\n",
      " 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287\n",
      " 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305\n",
      " 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323\n",
      " 324 325 326 327 328 329 330 331 332 333 334 335 336 337 338 339 340 341\n",
      " 342 343 344 345 346 347 348 349 350 351 352 353 354 355 356 357 358 359\n",
      " 360 361 362 363 364 365 366 367 368 369 370 371 372 373 374 375 376 377\n",
      " 378 379 380 381 382 383 384 385 386 387 388 389 390 391 392 393 394 395\n",
      " 396 397 398 399 400 401 402 403 404 405 406 407 408 409 410 411 412 413\n",
      " 414 415 416 417 418 419 420 421 422 423 424 425 426 427 428 429 430 431\n",
      " 432 433 434 435 436 437 438 439 440 441 442 443 444 445 446 447 448 449\n",
      " 450 451 452 453 454 455 456 457 458 459 460 461 462 463 464 465 466 467\n",
      " 468 469 470 471 472 473 474 475 476 477 478 479 480 481 482 483 484 485\n",
      " 486 487 488 489 490 491 492 493 494 495 496 497 498 502 511 513 514 515\n",
      " 518 520 524 525 529 531 540 541 542 543 545 546 548 550 551 552 553 554\n",
      " 555 558 565 566 567 568 569 570 571 572 573 574 575 576 577 578 579 580\n",
      " 581 582 583 584 585 586 587 588 589 590 591 592 593 594 595 596 597 598\n",
      " 599 600 601 602 603 604 605 606 607 608 609 610 611 612 613 614 615 616\n",
      " 617 618 619 620 621 622 623 624 625 626 627 628 629 630 631 632 633 634\n",
      " 635 636 637 638 639 640 641 642 643 644 645 646 647 648 649 650 651 652\n",
      " 653 654 655 656 657 658 659 660 661 662 663 664 665 666 667 668 669 670\n",
      " 671 672 673 674 675 676 677 678 679 680 681 682 683 684 685 686 687 688\n",
      " 689 690 691 692 693 694 695 696 697 698 699 700 701 702 703 704 705 706\n",
      " 707 708 709 710 711 712 713 714 715 717 721 724 725 727 730 735 738 739\n",
      " 743 757 759 763 767 769 771 773 778 780 786 787 788 789 790 791 792 793\n",
      " 794 795 796 797 798 799 800 801 802 803 804 805 806 807 808 809 810 811\n",
      " 812 813 814 815 816 817 818 819 820 821 822 823 824 825 826 827 828 829\n",
      " 830 831 832 833 834 835 836 837 838 839 840 841 842 843 844 845 846 847\n",
      " 848 849 850 851 852 853 854 855 856 857 858 859 860 861 862 863 864 865\n",
      " 866 867 868 869 870 871 872 873 874 875 876 877 878 879 880 881 882 883\n",
      " 884 885 886 887 888 889 890 891 892 893 894 895 896 897 898 899 900 901\n",
      " 902 903 904 905 906 907 908 909 910 911 912 913 914 915 916 917 918 919] \n",
      "TEST: [499 500 501 503 504 505 506 507 508 509 510 512 516 517 519 521 522 523\n",
      " 526 527 528 530 532 533 534 535 536 537 538 539 544 547 549 556 557 559\n",
      " 560 561 562 563 564 716 718 719 720 722 723 726 728 729 731 732 733 734\n",
      " 736 737 740 741 742 744 745 746 747 748 749 750 751 752 753 754 755 756\n",
      " 758 760 761 762 764 765 766 768 770 772 774 775 776 777 779 781 782 783\n",
      " 784 785]\n",
      "[Fold 9/10]\n",
      "TRAIN: [  0   1   2   3   4   5   6   7   8   9  10  11  12  13  14  15  16  17\n",
      "  18  19  20  21  22  23  24  25  26  27  28  29  30  31  32  33  34  35\n",
      "  36  37  38  39  40  41  42  43  44  45  46  47  48  49  50  51  52  53\n",
      "  54  55  56  57  58  59  60  61  62  63  64  65  66  67  68  69  70  71\n",
      "  72  73  74  75  76  77  78  79  80  81  82  83  84  85  86  87  88  89\n",
      "  90  91  92  93  94  95  96  97  98  99 100 101 102 103 104 105 106 107\n",
      " 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125\n",
      " 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143\n",
      " 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161\n",
      " 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179\n",
      " 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197\n",
      " 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215\n",
      " 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233\n",
      " 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251\n",
      " 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269\n",
      " 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287\n",
      " 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305\n",
      " 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323\n",
      " 324 325 326 327 328 329 330 331 332 333 334 335 336 337 338 339 340 341\n",
      " 342 343 344 345 346 347 348 349 350 351 352 353 354 355 356 357 358 359\n",
      " 360 361 362 363 364 365 366 367 368 369 370 371 372 373 374 375 376 377\n",
      " 378 379 380 381 382 383 384 385 386 387 388 389 390 391 392 393 394 395\n",
      " 396 397 398 399 400 401 402 403 404 405 406 407 408 409 410 411 412 413\n",
      " 414 415 416 417 418 419 420 421 422 423 424 425 426 427 428 429 430 431\n",
      " 432 433 434 435 436 437 438 439 440 441 442 443 444 445 446 447 448 449\n",
      " 450 451 452 453 454 455 456 457 458 459 460 461 462 463 464 465 466 467\n",
      " 468 469 470 471 472 473 474 475 476 477 478 479 480 481 482 483 484 485\n",
      " 486 487 488 489 490 491 492 493 494 495 496 497 498 499 500 501 502 503\n",
      " 504 505 506 507 508 509 510 511 512 513 514 515 516 517 518 519 520 521\n",
      " 522 523 524 525 526 527 528 529 530 531 532 533 534 535 536 537 538 539\n",
      " 540 541 542 543 544 545 546 547 548 549 550 551 552 553 554 555 556 557\n",
      " 558 559 560 561 562 563 564 566 567 568 570 572 576 580 581 585 597 598\n",
      " 599 600 601 602 604 605 606 607 608 609 610 611 612 613 615 616 617 618\n",
      " 619 620 621 622 623 624 625 626 627 628 629 630 631 632 633 634 635 636\n",
      " 637 639 640 641 642 643 645 646 647 649 650 651 653 654 655 656 657 658\n",
      " 659 660 661 662 663 664 665 666 667 668 669 670 671 672 673 674 675 676\n",
      " 677 678 679 680 681 682 683 684 685 686 687 688 689 690 691 692 693 694\n",
      " 695 696 697 698 699 700 701 702 703 704 705 707 708 709 710 711 712 713\n",
      " 714 715 716 718 719 720 722 723 726 728 729 731 732 733 734 736 737 740\n",
      " 741 742 744 745 746 747 748 749 750 751 752 753 754 755 756 758 759 760\n",
      " 761 762 763 764 765 766 767 768 769 770 771 772 773 774 775 776 777 778\n",
      " 779 780 781 782 783 784 785 790 792 800 807 811 814 816 819 824 828 829\n",
      " 831 843 848 849 852 853 854 855 856 857 858 859 860 861 862 863 864 865\n",
      " 866 867 868 869 870 871 872 873 874 875 876 877 878 879 880 881 882 883\n",
      " 884 885 886 887 888 889 890 891 892 893 894 895 896 897 898 899 900 901\n",
      " 902 903 904 905 906 907 908 909 910 911 912 913 914 915 916 917 918 919] \n",
      "TEST: [565 569 571 573 574 575 577 578 579 582 583 584 586 587 588 589 590 591\n",
      " 592 593 594 595 596 603 614 638 644 648 652 706 717 721 724 725 727 730\n",
      " 735 738 739 743 757 786 787 788 789 791 793 794 795 796 797 798 799 801\n",
      " 802 803 804 805 806 808 809 810 812 813 815 817 818 820 821 822 823 825\n",
      " 826 827 830 832 833 834 835 836 837 838 839 840 841 842 844 845 846 847\n",
      " 850 851]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[Fold 10/10]\n",
      "TRAIN: [  0   1   2   3   4   5   6   7   8   9  10  11  12  13  14  15  16  17\n",
      "  18  19  20  21  22  23  24  25  26  27  28  29  30  31  32  33  34  35\n",
      "  36  37  38  39  40  41  42  43  44  45  46  47  48  49  50  51  52  53\n",
      "  54  55  56  57  58  59  60  61  62  63  64  65  66  67  68  69  70  71\n",
      "  72  73  74  75  76  77  78  79  80  81  82  83  84  85  86  87  88  89\n",
      "  90  91  92  93  94  95  96  97  98  99 100 101 102 103 104 105 106 107\n",
      " 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125\n",
      " 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143\n",
      " 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161\n",
      " 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179\n",
      " 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197\n",
      " 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215\n",
      " 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233\n",
      " 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251\n",
      " 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269\n",
      " 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287\n",
      " 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305\n",
      " 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323\n",
      " 324 325 326 327 328 329 330 331 332 333 334 335 336 337 338 339 340 341\n",
      " 342 343 344 345 346 347 348 349 350 351 352 353 354 355 356 357 358 359\n",
      " 360 361 362 363 364 365 366 367 368 369 370 371 372 373 374 375 376 377\n",
      " 378 379 380 381 382 383 384 385 386 387 388 389 390 391 392 393 394 395\n",
      " 396 397 398 399 400 401 402 403 404 405 406 407 408 409 410 411 412 413\n",
      " 414 415 416 417 418 419 420 421 422 423 424 425 426 427 428 429 430 431\n",
      " 432 433 434 435 436 437 438 439 440 441 442 443 444 445 446 447 448 449\n",
      " 450 451 452 453 454 455 456 457 458 459 460 461 462 463 464 465 466 467\n",
      " 468 469 470 471 472 473 474 475 476 477 478 479 480 481 482 483 484 485\n",
      " 486 487 488 489 490 491 492 493 494 495 496 497 498 499 500 501 502 503\n",
      " 504 505 506 507 508 509 510 511 512 513 514 515 516 517 518 519 520 521\n",
      " 522 523 524 525 526 527 528 529 530 531 532 533 534 535 536 537 538 539\n",
      " 540 541 542 543 544 545 546 547 548 549 550 551 552 553 554 555 556 557\n",
      " 558 559 560 561 562 563 564 565 566 567 568 569 570 571 572 573 574 575\n",
      " 576 577 578 579 580 581 582 583 584 585 586 587 588 589 590 591 592 593\n",
      " 594 595 596 597 598 599 600 601 602 603 604 605 606 607 608 609 610 611\n",
      " 612 613 614 615 616 617 618 619 620 621 622 623 624 625 626 627 628 629\n",
      " 630 631 632 633 634 635 636 637 638 639 640 641 642 643 644 645 646 647\n",
      " 648 649 650 651 652 653 654 655 656 657 658 659 660 661 662 663 664 665\n",
      " 666 667 668 669 670 671 672 673 674 675 676 677 678 679 680 681 682 683\n",
      " 684 685 686 687 688 689 690 691 692 693 694 695 696 697 698 699 700 701\n",
      " 702 703 704 705 706 707 708 709 710 711 712 713 714 715 716 717 718 719\n",
      " 720 721 722 723 724 725 726 727 728 729 730 731 732 733 734 735 736 737\n",
      " 738 739 740 741 742 743 744 745 746 747 748 749 750 751 752 753 754 755\n",
      " 756 757 758 760 761 762 764 765 766 768 770 772 774 775 776 777 779 781\n",
      " 782 783 784 785 786 787 788 789 791 793 794 795 796 797 798 799 801 802\n",
      " 803 804 805 806 808 809 810 812 813 815 817 818 820 821 822 823 825 826\n",
      " 827 830 832 833 834 835 836 837 838 839 840 841 842 844 845 846 847 850\n",
      " 851] \n",
      "TEST: [759 763 767 769 771 773 778 780 790 792 800 807 811 814 816 819 824 828\n",
      " 829 831 843 848 849 852 853 854 855 856 857 858 859 860 861 862 863 864\n",
      " 865 866 867 868 869 870 871 872 873 874 875 876 877 878 879 880 881 882\n",
      " 883 884 885 886 887 888 889 890 891 892 893 894 895 896 897 898 899 900\n",
      " 901 902 903 904 905 906 907 908 909 910 911 912 913 914 915 916 917 918\n",
      " 919]\n",
      "[Fold 1/10]\n",
      "TRAIN: [ 80  81  82  84  85  86  87  88  89  90  92  93  94  98  99 100 101 102\n",
      " 103 105 112 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128\n",
      " 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146\n",
      " 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164\n",
      " 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182\n",
      " 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200\n",
      " 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218\n",
      " 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236\n",
      " 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254\n",
      " 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272\n",
      " 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290\n",
      " 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307 308\n",
      " 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323 324 325 326\n",
      " 327 328 329 330 331 332 333 334 335 336 337 338 339 340 341 342 343 344\n",
      " 345 346 347 348 349 350 351 352 353 354 355 356 357 358 359 360 361 362\n",
      " 363 364 365 366 367 368 369 370 371 372 373 374 375 376 377 378 379 380\n",
      " 381 382 383 384 385 386 387 388 389 390 391 392 393 394 395 396 397 398\n",
      " 399 400 401 402 403 404 405 406 407 408 409 410 411 412 413 414 415 416\n",
      " 417 418 419 420 421 422 423 424 425 426 427 428 429 430 431 432 433 434\n",
      " 435 436 437 438 439 440 441 442 443 444 445 446 447 448 449 450 451 452\n",
      " 453 454 455 456 457 458 459 460 461 462 463 464 465 466 467 468 469 470\n",
      " 471 472 473 474 475 476 477 478 479 480 481 482 483 484 485 486 487 488\n",
      " 489 490 491 492 493 494 495 496 497 498 499 500 501 502 503 504 505 506\n",
      " 507 508 509 510 511 512 513 514 515 516 517 518 519 520 521 522 523 524\n",
      " 525 526 527 528 529 530 531 532 533 534 535 536 537 538 539 540 541 542\n",
      " 543 544 545 546 547 548 549 550 551 552 553 554 555 556 557 558 559 560\n",
      " 561 562 563 564 565 566 567 568 569 570 571 572 573 574 575 576 577 578\n",
      " 579 580 581 582 583 584 585 586 587 588 589 590 591 592 593 594 595 596\n",
      " 597 598 599 600 601 602 603 604 605 606 607 608 609 610 611 612 613 614\n",
      " 615 616 617 618 619 620 621 622 623 624 625 626 627 628 629 630 631 632\n",
      " 633 634 635 636 637 638 639 640 641 642 643 644 645 646 647 648 649 650\n",
      " 651 652 653 654 655 656 657 658 659 660 661 662 663 664 665 666 667 668\n",
      " 669 670 671 672 673 674 675 676 677 678 679 680 681 682 683 684 685 686\n",
      " 687 688 689 690 691 692 693 694 695 696 697 698 699 700 701 702 703 704\n",
      " 705 706 707 708 709 710 711 712 713 714 715 716 717 718 719 720 721 722\n",
      " 723 724 725 726 727 728 729 730 731 732 733 734 735 736 737 738 739 740\n",
      " 741 742 743 744 745 746 747 748 749 750 751 752 753 754 755 756 757 758\n",
      " 759 760 761 762 763 764 765 766 767 768 769 770 771 772 773 774 775 776\n",
      " 777 778 779 780 781 782 783 784 785 786 787 788 789 790 791 792 793 794\n",
      " 795 796 797 798 799 800 801 802 803 804 805 806 807 808 809 810 811 812\n",
      " 813 814 815 816 817 818 819 820 821 822 823 824 825 826 827 828 829 830\n",
      " 831 832 833 834 835 836 837 838 839 840 841 842 843 844 845 846 847 848\n",
      " 849 850 851 852 853 854 855 856 857 858 859 860 861 862 863 864 865 866\n",
      " 867 868 869 870 871 872 873 874 875 876 877 878 879 880 881 882 883 884\n",
      " 885 886 887 888 889 890 891 892 893 894 895 896 897 898 899 900 901 902\n",
      " 903 904 905 906 907 908 909 910 911 912 913 914 915 916 917 918 919] \n",
      "TEST: [  0   1   2   3   4   5   6   7   8   9  10  11  12  13  14  15  16  17\n",
      "  18  19  20  21  22  23  24  25  26  27  28  29  30  31  32  33  34  35\n",
      "  36  37  38  39  40  41  42  43  44  45  46  47  48  49  50  51  52  53\n",
      "  54  55  56  57  58  59  60  61  62  63  64  65  66  67  68  69  70  71\n",
      "  72  73  74  75  76  77  78  79  83  91  95  96  97 104 106 107 108 109\n",
      " 110 111 113]\n",
      "[Fold 2/10]\n",
      "TRAIN: [  0   1   2   3   4   5   6   7   8   9  10  11  12  13  14  15  16  17\n",
      "  18  19  20  21  22  23  24  25  26  27  28  29  30  31  32  33  34  35\n",
      "  36  37  38  39  40  41  42  43  44  45  46  47  48  49  50  51  52  53\n",
      "  54  55  56  57  58  59  60  61  62  63  64  65  66  67  68  69  70  71\n",
      "  72  73  74  75  76  77  78  79  83  91  95  96  97 104 106 107 108 109\n",
      " 110 111 113 150 151 152 159 160 162 163 164 165 166 167 169 171 173 176\n",
      " 178 179 182 183 185 186 190 194 196 197 198 200 201 202 203 204 208 210\n",
      " 212 215 216 217 218 219 220 221 222 225 226 227 230 231 232 233 234 235\n",
      " 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253\n",
      " 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271\n",
      " 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289\n",
      " 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307\n",
      " 308 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323 324 325\n",
      " 326 327 328 329 330 331 332 333 334 335 336 337 338 339 340 341 342 343\n",
      " 344 345 346 347 348 349 350 351 352 353 354 355 356 357 358 359 360 361\n",
      " 362 363 364 365 366 367 368 369 370 371 372 373 374 375 376 377 378 379\n",
      " 380 381 382 383 384 385 386 387 388 389 390 391 392 393 394 395 396 397\n",
      " 398 399 400 401 402 403 404 405 406 407 408 409 410 411 412 413 414 415\n",
      " 416 417 418 419 420 421 422 423 424 425 426 427 428 429 430 431 432 433\n",
      " 434 435 436 437 438 439 440 441 442 443 444 445 446 447 448 449 450 451\n",
      " 452 453 454 455 456 457 458 459 460 461 462 463 464 465 466 467 468 469\n",
      " 470 471 472 473 474 475 476 477 478 479 480 481 482 483 484 485 486 487\n",
      " 488 489 490 491 492 493 494 495 496 497 498 499 500 501 502 503 504 505\n",
      " 506 507 508 509 510 511 512 513 514 515 516 517 518 519 520 521 522 523\n",
      " 524 525 526 527 528 529 530 531 532 533 534 535 536 537 538 539 540 541\n",
      " 542 543 544 545 546 547 548 549 550 551 552 553 554 555 556 557 558 559\n",
      " 560 561 562 563 564 565 566 567 568 569 570 571 572 573 574 575 576 577\n",
      " 578 579 580 581 582 583 584 585 586 587 588 589 590 591 592 593 594 595\n",
      " 596 597 598 599 600 601 602 603 604 605 606 607 608 609 610 611 612 613\n",
      " 614 615 616 617 618 619 620 621 622 623 624 625 626 627 628 629 630 631\n",
      " 632 633 634 635 636 637 638 639 640 641 642 643 644 645 646 647 648 649\n",
      " 650 651 652 653 654 655 656 657 658 659 660 661 662 663 664 665 666 667\n",
      " 668 669 670 671 672 673 674 675 676 677 678 679 680 681 682 683 684 685\n",
      " 686 687 688 689 690 691 692 693 694 695 696 697 698 699 700 701 702 703\n",
      " 704 705 706 707 708 709 710 711 712 713 714 715 716 717 718 719 720 721\n",
      " 722 723 724 725 726 727 728 729 730 731 732 733 734 735 736 737 738 739\n",
      " 740 741 742 743 744 745 746 747 748 749 750 751 752 753 754 755 756 757\n",
      " 758 759 760 761 762 763 764 765 766 767 768 769 770 771 772 773 774 775\n",
      " 776 777 778 779 780 781 782 783 784 785 786 787 788 789 790 791 792 793\n",
      " 794 795 796 797 798 799 800 801 802 803 804 805 806 807 808 809 810 811\n",
      " 812 813 814 815 816 817 818 819 820 821 822 823 824 825 826 827 828 829\n",
      " 830 831 832 833 834 835 836 837 838 839 840 841 842 843 844 845 846 847\n",
      " 848 849 850 851 852 853 854 855 856 857 858 859 860 861 862 863 864 865\n",
      " 866 867 868 869 870 871 872 873 874 875 876 877 878 879 880 881 882 883\n",
      " 884 885 886 887 888 889 890 891 892 893 894 895 896 897 898 899 900 901\n",
      " 902 903 904 905 906 907 908 909 910 911 912 913 914 915 916 917 918 919] \n",
      "TEST: [ 80  81  82  84  85  86  87  88  89  90  92  93  94  98  99 100 101 102\n",
      " 103 105 112 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128\n",
      " 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146\n",
      " 147 148 149 153 154 155 156 157 158 161 168 170 172 174 175 177 180 181\n",
      " 184 187 188 189 191 192 193 195 199 205 206 207 209 211 213 214 223 224\n",
      " 228 229]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[Fold 3/10]\n",
      "TRAIN: [  0   1   2   3   4   5   6   7   8   9  10  11  12  13  14  15  16  17\n",
      "  18  19  20  21  22  23  24  25  26  27  28  29  30  31  32  33  34  35\n",
      "  36  37  38  39  40  41  42  43  44  45  46  47  48  49  50  51  52  53\n",
      "  54  55  56  57  58  59  60  61  62  63  64  65  66  67  68  69  70  71\n",
      "  72  73  74  75  76  77  78  79  80  81  82  83  84  85  86  87  88  89\n",
      "  90  91  92  93  94  95  96  97  98  99 100 101 102 103 104 105 106 107\n",
      " 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125\n",
      " 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143\n",
      " 144 145 146 147 148 149 153 154 155 156 157 158 161 168 170 172 174 175\n",
      " 177 180 181 184 187 188 189 191 192 193 195 199 205 206 207 209 211 213\n",
      " 214 222 223 224 225 226 227 228 229 230 233 234 238 239 240 241 242 244\n",
      " 249 250 252 253 254 255 256 257 258 260 262 263 269 271 273 275 276 277\n",
      " 279 281 283 287 288 289 291 295 302 303 305 307 308 309 310 312 313 315\n",
      " 317 318 320 323 324 325 327 328 329 330 331 332 334 337 338 340 341 342\n",
      " 343 345 346 347 348 349 350 351 352 353 354 355 356 357 358 359 360 361\n",
      " 362 363 364 365 366 367 368 369 370 371 372 373 374 375 376 377 378 379\n",
      " 380 381 382 383 384 385 386 387 388 389 390 391 392 393 394 395 396 397\n",
      " 398 399 400 401 402 403 404 405 406 407 408 409 410 411 412 413 414 415\n",
      " 416 417 418 419 420 421 422 423 424 425 426 427 428 429 430 431 432 433\n",
      " 434 435 436 437 438 439 440 441 442 443 444 445 446 447 448 449 450 451\n",
      " 452 453 454 455 456 457 458 459 460 461 462 463 464 465 466 467 468 469\n",
      " 470 471 472 473 474 475 476 477 478 479 480 481 482 483 484 485 486 487\n",
      " 488 489 490 491 492 493 494 495 496 497 498 499 500 501 502 503 504 505\n",
      " 506 507 508 509 510 511 512 513 514 515 516 517 518 519 520 521 522 523\n",
      " 524 525 526 527 528 529 530 531 532 533 534 535 536 537 538 539 540 541\n",
      " 542 543 544 545 546 547 548 549 550 551 552 553 554 555 556 557 558 559\n",
      " 560 561 562 563 564 565 566 567 568 569 570 571 572 573 574 575 576 577\n",
      " 578 579 580 581 582 583 584 585 586 587 588 589 590 591 592 593 594 595\n",
      " 596 597 598 599 600 601 602 603 604 605 606 607 608 609 610 611 612 613\n",
      " 614 615 616 617 618 619 620 621 622 623 624 625 626 627 628 629 630 631\n",
      " 632 633 634 635 636 637 638 639 640 641 642 643 644 645 646 647 648 649\n",
      " 650 651 652 653 654 655 656 657 658 659 660 661 662 663 664 665 666 667\n",
      " 668 669 670 671 672 673 674 675 676 677 678 679 680 681 682 683 684 685\n",
      " 686 687 688 689 690 691 692 693 694 695 696 697 698 699 700 701 702 703\n",
      " 704 705 706 707 708 709 710 711 712 713 714 715 716 717 718 719 720 721\n",
      " 722 723 724 725 726 727 728 729 730 731 732 733 734 735 736 737 738 739\n",
      " 740 741 742 743 744 745 746 747 748 749 750 751 752 753 754 755 756 757\n",
      " 758 759 760 761 762 763 764 765 766 767 768 769 770 771 772 773 774 775\n",
      " 776 777 778 779 780 781 782 783 784 785 786 787 788 789 790 791 792 793\n",
      " 794 795 796 797 798 799 800 801 802 803 804 805 806 807 808 809 810 811\n",
      " 812 813 814 815 816 817 818 819 820 821 822 823 824 825 826 827 828 829\n",
      " 830 831 832 833 834 835 836 837 838 839 840 841 842 843 844 845 846 847\n",
      " 848 849 850 851 852 853 854 855 856 857 858 859 860 861 862 863 864 865\n",
      " 866 867 868 869 870 871 872 873 874 875 876 877 878 879 880 881 882 883\n",
      " 884 885 886 887 888 889 890 891 892 893 894 895 896 897 898 899 900 901\n",
      " 902 903 904 905 906 907 908 909 910 911 912 913 914 915 916 917 918 919] \n",
      "TEST: [150 151 152 159 160 162 163 164 165 166 167 169 171 173 176 178 179 182\n",
      " 183 185 186 190 194 196 197 198 200 201 202 203 204 208 210 212 215 216\n",
      " 217 218 219 220 221 231 232 235 236 237 243 245 246 247 248 251 259 261\n",
      " 264 265 266 267 268 270 272 274 278 280 282 284 285 286 290 292 293 294\n",
      " 296 297 298 299 300 301 304 306 311 314 316 319 321 322 326 333 335 336\n",
      " 339 344]\n",
      "[Fold 4/10]\n",
      "TRAIN: [  0   1   2   3   4   5   6   7   8   9  10  11  12  13  14  15  16  17\n",
      "  18  19  20  21  22  23  24  25  26  27  28  29  30  31  32  33  34  35\n",
      "  36  37  38  39  40  41  42  43  44  45  46  47  48  49  50  51  52  53\n",
      "  54  55  56  57  58  59  60  61  62  63  64  65  66  67  68  69  70  71\n",
      "  72  73  74  75  76  77  78  79  80  81  82  83  84  85  86  87  88  89\n",
      "  90  91  92  93  94  95  96  97  98  99 100 101 102 103 104 105 106 107\n",
      " 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125\n",
      " 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143\n",
      " 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161\n",
      " 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179\n",
      " 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197\n",
      " 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215\n",
      " 216 217 218 219 220 221 223 224 228 229 231 232 235 236 237 243 245 246\n",
      " 247 248 251 259 261 264 265 266 267 268 270 272 274 278 280 282 284 285\n",
      " 286 290 292 293 294 296 297 298 299 300 301 304 305 306 307 308 309 310\n",
      " 311 312 313 314 315 316 317 318 319 320 321 322 323 324 325 326 327 328\n",
      " 329 330 331 332 333 334 335 336 337 338 339 340 341 342 343 344 345 346\n",
      " 348 349 350 351 355 356 357 358 361 363 364 365 367 368 369 370 372 374\n",
      " 376 378 380 381 383 384 386 390 392 393 394 395 397 399 400 401 402 404\n",
      " 408 409 410 411 412 413 415 416 417 421 424 425 427 428 429 430 431 432\n",
      " 433 437 439 440 446 448 449 450 451 453 454 455 456 457 460 462 465 466\n",
      " 467 468 471 472 473 474 475 476 477 479 480 481 482 483 484 485 486 487\n",
      " 488 489 490 491 492 493 494 495 496 497 498 499 500 501 502 503 504 505\n",
      " 506 507 508 509 510 511 512 513 514 515 516 517 518 519 520 521 522 523\n",
      " 524 525 526 527 528 529 530 531 532 533 534 535 536 537 538 539 540 541\n",
      " 542 543 544 545 546 547 548 549 550 551 552 553 554 555 556 557 558 559\n",
      " 560 561 562 563 564 565 566 567 568 569 570 571 572 573 574 575 576 577\n",
      " 578 579 580 581 582 583 584 585 586 587 588 589 590 591 592 593 594 595\n",
      " 596 597 598 599 600 601 602 603 604 605 606 607 608 609 610 611 612 613\n",
      " 614 615 616 617 618 619 620 621 622 623 624 625 626 627 628 629 630 631\n",
      " 632 633 634 635 636 637 638 639 640 641 642 643 644 645 646 647 648 649\n",
      " 650 651 652 653 654 655 656 657 658 659 660 661 662 663 664 665 666 667\n",
      " 668 669 670 671 672 673 674 675 676 677 678 679 680 681 682 683 684 685\n",
      " 686 687 688 689 690 691 692 693 694 695 696 697 698 699 700 701 702 703\n",
      " 704 705 706 707 708 709 710 711 712 713 714 715 716 717 718 719 720 721\n",
      " 722 723 724 725 726 727 728 729 730 731 732 733 734 735 736 737 738 739\n",
      " 740 741 742 743 744 745 746 747 748 749 750 751 752 753 754 755 756 757\n",
      " 758 759 760 761 762 763 764 765 766 767 768 769 770 771 772 773 774 775\n",
      " 776 777 778 779 780 781 782 783 784 785 786 787 788 789 790 791 792 793\n",
      " 794 795 796 797 798 799 800 801 802 803 804 805 806 807 808 809 810 811\n",
      " 812 813 814 815 816 817 818 819 820 821 822 823 824 825 826 827 828 829\n",
      " 830 831 832 833 834 835 836 837 838 839 840 841 842 843 844 845 846 847\n",
      " 848 849 850 851 852 853 854 855 856 857 858 859 860 861 862 863 864 865\n",
      " 866 867 868 869 870 871 872 873 874 875 876 877 878 879 880 881 882 883\n",
      " 884 885 886 887 888 889 890 891 892 893 894 895 896 897 898 899 900 901\n",
      " 902 903 904 905 906 907 908 909 910 911 912 913 914 915 916 917 918 919] \n",
      "TEST: [222 225 226 227 230 233 234 238 239 240 241 242 244 249 250 252 253 254\n",
      " 255 256 257 258 260 262 263 269 271 273 275 276 277 279 281 283 287 288\n",
      " 289 291 295 302 303 347 352 353 354 359 360 362 366 371 373 375 377 379\n",
      " 382 385 387 388 389 391 396 398 403 405 406 407 414 418 419 420 422 423\n",
      " 426 434 435 436 438 441 442 443 444 445 447 452 458 459 461 463 464 469\n",
      " 470 478]\n",
      "[Fold 5/10]\n",
      "TRAIN: [  0   1   2   3   4   5   6   7   8   9  10  11  12  13  14  15  16  17\n",
      "  18  19  20  21  22  23  24  25  26  27  28  29  30  31  32  33  34  35\n",
      "  36  37  38  39  40  41  42  43  44  45  46  47  48  49  50  51  52  53\n",
      "  54  55  56  57  58  59  60  61  62  63  64  65  66  67  68  69  70  71\n",
      "  72  73  74  75  76  77  78  79  80  81  82  83  84  85  86  87  88  89\n",
      "  90  91  92  93  94  95  96  97  98  99 100 101 102 103 104 105 106 107\n",
      " 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125\n",
      " 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143\n",
      " 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161\n",
      " 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179\n",
      " 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197\n",
      " 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215\n",
      " 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233\n",
      " 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251\n",
      " 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269\n",
      " 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287\n",
      " 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 306\n",
      " 311 314 316 319 321 322 326 333 335 336 339 344 347 352 353 354 359 360\n",
      " 362 366 367 368 369 370 371 372 373 374 375 376 377 378 379 380 381 382\n",
      " 383 384 385 386 387 388 389 390 391 392 393 394 395 396 397 398 399 400\n",
      " 401 402 403 404 405 406 407 408 409 410 411 412 413 414 415 416 417 418\n",
      " 419 420 421 422 423 424 425 426 427 428 429 430 431 432 433 434 435 436\n",
      " 437 438 439 440 441 442 443 444 445 446 447 448 449 450 451 452 453 454\n",
      " 455 456 457 458 459 460 461 462 463 464 465 466 467 468 469 470 471 472\n",
      " 473 474 475 476 477 478 481 482 483 485 487 488 490 492 494 495 496 497\n",
      " 498 499 500 501 503 504 505 506 507 508 509 510 512 516 517 519 521 522\n",
      " 523 526 527 528 530 532 533 534 535 536 537 538 539 544 547 549 556 557\n",
      " 559 560 561 562 563 564 565 569 571 573 574 575 577 578 579 582 583 584\n",
      " 586 587 588 589 590 591 592 593 594 595 596 603 608 609 610 611 612 613\n",
      " 614 615 616 617 618 619 620 621 622 623 624 625 626 627 628 629 630 631\n",
      " 632 633 634 635 636 637 638 639 640 641 642 643 644 645 646 647 648 649\n",
      " 650 651 652 653 654 655 656 657 658 659 660 661 662 663 664 665 666 667\n",
      " 668 669 670 671 672 673 674 675 676 677 678 679 680 681 682 683 684 685\n",
      " 686 687 688 689 690 691 692 693 694 695 696 697 698 699 700 701 702 703\n",
      " 704 705 706 707 708 709 710 711 712 713 714 715 716 717 718 719 720 721\n",
      " 722 723 724 725 726 727 728 729 730 731 732 733 734 735 736 737 738 739\n",
      " 740 741 742 743 744 745 746 747 748 749 750 751 752 753 754 755 756 757\n",
      " 758 759 760 761 762 763 764 765 766 767 768 769 770 771 772 773 774 775\n",
      " 776 777 778 779 780 781 782 783 784 785 786 787 788 789 790 791 792 793\n",
      " 794 795 796 797 798 799 800 801 802 803 804 805 806 807 808 809 810 811\n",
      " 812 813 814 815 816 817 818 819 820 821 822 823 824 825 826 827 828 829\n",
      " 830 831 832 833 834 835 836 837 838 839 840 841 842 843 844 845 846 847\n",
      " 848 849 850 851 852 853 854 855 856 857 858 859 860 861 862 863 864 865\n",
      " 866 867 868 869 870 871 872 873 874 875 876 877 878 879 880 881 882 883\n",
      " 884 885 886 887 888 889 890 891 892 893 894 895 896 897 898 899 900 901\n",
      " 902 903 904 905 906 907 908 909 910 911 912 913 914 915 916 917 918 919] \n",
      "TEST: [305 307 308 309 310 312 313 315 317 318 320 323 324 325 327 328 329 330\n",
      " 331 332 334 337 338 340 341 342 343 345 346 348 349 350 351 355 356 357\n",
      " 358 361 363 364 365 479 480 484 486 489 491 493 502 511 513 514 515 518\n",
      " 520 524 525 529 531 540 541 542 543 545 546 548 550 551 552 553 554 555\n",
      " 558 566 567 568 570 572 576 580 581 585 597 598 599 600 601 602 604 605\n",
      " 606 607]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[Fold 6/10]\n",
      "TRAIN: [  0   1   2   3   4   5   6   7   8   9  10  11  12  13  14  15  16  17\n",
      "  18  19  20  21  22  23  24  25  26  27  28  29  30  31  32  33  34  35\n",
      "  36  37  38  39  40  41  42  43  44  45  46  47  48  49  50  51  52  53\n",
      "  54  55  56  57  58  59  60  61  62  63  64  65  66  67  68  69  70  71\n",
      "  72  73  74  75  76  77  78  79  80  81  82  83  84  85  86  87  88  89\n",
      "  90  91  92  93  94  95  96  97  98  99 100 101 102 103 104 105 106 107\n",
      " 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125\n",
      " 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143\n",
      " 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161\n",
      " 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179\n",
      " 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197\n",
      " 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215\n",
      " 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233\n",
      " 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251\n",
      " 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269\n",
      " 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287\n",
      " 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305\n",
      " 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323\n",
      " 324 325 326 327 328 329 330 331 332 333 334 335 336 337 338 339 340 341\n",
      " 342 343 344 345 346 347 348 349 350 351 352 353 354 355 356 357 358 359\n",
      " 360 361 362 363 364 365 366 371 373 375 377 379 382 385 387 388 389 391\n",
      " 396 398 403 405 406 407 414 418 419 420 422 423 426 432 433 434 435 436\n",
      " 437 438 439 440 441 442 443 444 445 446 447 448 449 450 451 452 453 454\n",
      " 455 456 457 458 459 460 461 462 463 464 465 466 467 468 469 470 471 472\n",
      " 473 474 475 476 477 478 479 480 481 482 483 484 485 486 487 488 489 490\n",
      " 491 492 493 494 495 496 497 498 499 500 501 502 503 504 505 506 507 508\n",
      " 509 510 511 512 513 514 515 516 517 518 519 520 521 522 523 524 525 526\n",
      " 527 528 529 530 531 532 533 534 535 536 537 538 539 540 541 542 543 544\n",
      " 545 546 547 548 549 550 551 552 553 554 555 556 557 558 559 560 561 562\n",
      " 563 564 565 566 567 568 569 570 571 572 573 574 575 576 577 578 579 580\n",
      " 581 582 583 584 585 586 587 588 589 590 591 592 593 594 595 596 597 598\n",
      " 599 600 601 602 603 604 605 606 607 614 638 644 648 652 664 665 666 667\n",
      " 668 669 670 671 672 673 674 675 676 677 678 679 680 681 682 683 684 685\n",
      " 686 687 688 689 690 691 692 693 694 695 696 697 698 699 700 701 702 703\n",
      " 704 705 706 707 708 709 710 711 712 713 714 715 716 717 718 719 720 721\n",
      " 722 723 724 725 726 727 728 729 730 731 732 733 734 735 736 737 738 739\n",
      " 740 741 742 743 744 745 746 747 748 749 750 751 752 753 754 755 756 757\n",
      " 758 759 760 761 762 763 764 765 766 767 768 769 770 771 772 773 774 775\n",
      " 776 777 778 779 780 781 782 783 784 785 786 787 788 789 790 791 792 793\n",
      " 794 795 796 797 798 799 800 801 802 803 804 805 806 807 808 809 810 811\n",
      " 812 813 814 815 816 817 818 819 820 821 822 823 824 825 826 827 828 829\n",
      " 830 831 832 833 834 835 836 837 838 839 840 841 842 843 844 845 846 847\n",
      " 848 849 850 851 852 853 854 855 856 857 858 859 860 861 862 863 864 865\n",
      " 866 867 868 869 870 871 872 873 874 875 876 877 878 879 880 881 882 883\n",
      " 884 885 886 887 888 889 890 891 892 893 894 895 896 897 898 899 900 901\n",
      " 902 903 904 905 906 907 908 909 910 911 912 913 914 915 916 917 918 919] \n",
      "TEST: [367 368 369 370 372 374 376 378 380 381 383 384 386 390 392 393 394 395\n",
      " 397 399 400 401 402 404 408 409 410 411 412 413 415 416 417 421 424 425\n",
      " 427 428 429 430 431 608 609 610 611 612 613 615 616 617 618 619 620 621\n",
      " 622 623 624 625 626 627 628 629 630 631 632 633 634 635 636 637 639 640\n",
      " 641 642 643 645 646 647 649 650 651 653 654 655 656 657 658 659 660 661\n",
      " 662 663]\n",
      "[Fold 7/10]\n",
      "TRAIN: [  0   1   2   3   4   5   6   7   8   9  10  11  12  13  14  15  16  17\n",
      "  18  19  20  21  22  23  24  25  26  27  28  29  30  31  32  33  34  35\n",
      "  36  37  38  39  40  41  42  43  44  45  46  47  48  49  50  51  52  53\n",
      "  54  55  56  57  58  59  60  61  62  63  64  65  66  67  68  69  70  71\n",
      "  72  73  74  75  76  77  78  79  80  81  82  83  84  85  86  87  88  89\n",
      "  90  91  92  93  94  95  96  97  98  99 100 101 102 103 104 105 106 107\n",
      " 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125\n",
      " 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143\n",
      " 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161\n",
      " 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179\n",
      " 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197\n",
      " 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215\n",
      " 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233\n",
      " 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251\n",
      " 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269\n",
      " 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287\n",
      " 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305\n",
      " 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323\n",
      " 324 325 326 327 328 329 330 331 332 333 334 335 336 337 338 339 340 341\n",
      " 342 343 344 345 346 347 348 349 350 351 352 353 354 355 356 357 358 359\n",
      " 360 361 362 363 364 365 366 367 368 369 370 371 372 373 374 375 376 377\n",
      " 378 379 380 381 382 383 384 385 386 387 388 389 390 391 392 393 394 395\n",
      " 396 397 398 399 400 401 402 403 404 405 406 407 408 409 410 411 412 413\n",
      " 414 415 416 417 418 419 420 421 422 423 424 425 426 427 428 429 430 431\n",
      " 434 435 436 438 441 442 443 444 445 447 452 458 459 461 463 464 469 470\n",
      " 478 479 480 484 486 489 491 493 499 500 501 502 503 504 505 506 507 508\n",
      " 509 510 511 512 513 514 515 516 517 518 519 520 521 522 523 524 525 526\n",
      " 527 528 529 530 531 532 533 534 535 536 537 538 539 540 541 542 543 544\n",
      " 545 546 547 548 549 550 551 552 553 554 555 556 557 558 559 560 561 562\n",
      " 563 564 565 566 567 568 569 570 571 572 573 574 575 576 577 578 579 580\n",
      " 581 582 583 584 585 586 587 588 589 590 591 592 593 594 595 596 597 598\n",
      " 599 600 601 602 603 604 605 606 607 608 609 610 611 612 613 614 615 616\n",
      " 617 618 619 620 621 622 623 624 625 626 627 628 629 630 631 632 633 634\n",
      " 635 636 637 638 639 640 641 642 643 644 645 646 647 648 649 650 651 652\n",
      " 653 654 655 656 657 658 659 660 661 662 663 706 716 717 718 719 720 721\n",
      " 722 723 724 725 726 727 728 729 730 731 732 733 734 735 736 737 738 739\n",
      " 740 741 742 743 744 745 746 747 748 749 750 751 752 753 754 755 756 757\n",
      " 758 759 760 761 762 763 764 765 766 767 768 769 770 771 772 773 774 775\n",
      " 776 777 778 779 780 781 782 783 784 785 786 787 788 789 790 791 792 793\n",
      " 794 795 796 797 798 799 800 801 802 803 804 805 806 807 808 809 810 811\n",
      " 812 813 814 815 816 817 818 819 820 821 822 823 824 825 826 827 828 829\n",
      " 830 831 832 833 834 835 836 837 838 839 840 841 842 843 844 845 846 847\n",
      " 848 849 850 851 852 853 854 855 856 857 858 859 860 861 862 863 864 865\n",
      " 866 867 868 869 870 871 872 873 874 875 876 877 878 879 880 881 882 883\n",
      " 884 885 886 887 888 889 890 891 892 893 894 895 896 897 898 899 900 901\n",
      " 902 903 904 905 906 907 908 909 910 911 912 913 914 915 916 917 918 919] \n",
      "TEST: [432 433 437 439 440 446 448 449 450 451 453 454 455 456 457 460 462 465\n",
      " 466 467 468 471 472 473 474 475 476 477 481 482 483 485 487 488 490 492\n",
      " 494 495 496 497 498 664 665 666 667 668 669 670 671 672 673 674 675 676\n",
      " 677 678 679 680 681 682 683 684 685 686 687 688 689 690 691 692 693 694\n",
      " 695 696 697 698 699 700 701 702 703 704 705 707 708 709 710 711 712 713\n",
      " 714 715]\n",
      "[Fold 8/10]\n",
      "TRAIN: [  0   1   2   3   4   5   6   7   8   9  10  11  12  13  14  15  16  17\n",
      "  18  19  20  21  22  23  24  25  26  27  28  29  30  31  32  33  34  35\n",
      "  36  37  38  39  40  41  42  43  44  45  46  47  48  49  50  51  52  53\n",
      "  54  55  56  57  58  59  60  61  62  63  64  65  66  67  68  69  70  71\n",
      "  72  73  74  75  76  77  78  79  80  81  82  83  84  85  86  87  88  89\n",
      "  90  91  92  93  94  95  96  97  98  99 100 101 102 103 104 105 106 107\n",
      " 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125\n",
      " 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143\n",
      " 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161\n",
      " 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179\n",
      " 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197\n",
      " 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215\n",
      " 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233\n",
      " 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251\n",
      " 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269\n",
      " 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287\n",
      " 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305\n",
      " 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323\n",
      " 324 325 326 327 328 329 330 331 332 333 334 335 336 337 338 339 340 341\n",
      " 342 343 344 345 346 347 348 349 350 351 352 353 354 355 356 357 358 359\n",
      " 360 361 362 363 364 365 366 367 368 369 370 371 372 373 374 375 376 377\n",
      " 378 379 380 381 382 383 384 385 386 387 388 389 390 391 392 393 394 395\n",
      " 396 397 398 399 400 401 402 403 404 405 406 407 408 409 410 411 412 413\n",
      " 414 415 416 417 418 419 420 421 422 423 424 425 426 427 428 429 430 431\n",
      " 432 433 434 435 436 437 438 439 440 441 442 443 444 445 446 447 448 449\n",
      " 450 451 452 453 454 455 456 457 458 459 460 461 462 463 464 465 466 467\n",
      " 468 469 470 471 472 473 474 475 476 477 478 479 480 481 482 483 484 485\n",
      " 486 487 488 489 490 491 492 493 494 495 496 497 498 502 511 513 514 515\n",
      " 518 520 524 525 529 531 540 541 542 543 545 546 548 550 551 552 553 554\n",
      " 555 558 565 566 567 568 569 570 571 572 573 574 575 576 577 578 579 580\n",
      " 581 582 583 584 585 586 587 588 589 590 591 592 593 594 595 596 597 598\n",
      " 599 600 601 602 603 604 605 606 607 608 609 610 611 612 613 614 615 616\n",
      " 617 618 619 620 621 622 623 624 625 626 627 628 629 630 631 632 633 634\n",
      " 635 636 637 638 639 640 641 642 643 644 645 646 647 648 649 650 651 652\n",
      " 653 654 655 656 657 658 659 660 661 662 663 664 665 666 667 668 669 670\n",
      " 671 672 673 674 675 676 677 678 679 680 681 682 683 684 685 686 687 688\n",
      " 689 690 691 692 693 694 695 696 697 698 699 700 701 702 703 704 705 706\n",
      " 707 708 709 710 711 712 713 714 715 717 721 724 725 727 730 735 738 739\n",
      " 743 757 759 763 767 769 771 773 778 780 786 787 788 789 790 791 792 793\n",
      " 794 795 796 797 798 799 800 801 802 803 804 805 806 807 808 809 810 811\n",
      " 812 813 814 815 816 817 818 819 820 821 822 823 824 825 826 827 828 829\n",
      " 830 831 832 833 834 835 836 837 838 839 840 841 842 843 844 845 846 847\n",
      " 848 849 850 851 852 853 854 855 856 857 858 859 860 861 862 863 864 865\n",
      " 866 867 868 869 870 871 872 873 874 875 876 877 878 879 880 881 882 883\n",
      " 884 885 886 887 888 889 890 891 892 893 894 895 896 897 898 899 900 901\n",
      " 902 903 904 905 906 907 908 909 910 911 912 913 914 915 916 917 918 919] \n",
      "TEST: [499 500 501 503 504 505 506 507 508 509 510 512 516 517 519 521 522 523\n",
      " 526 527 528 530 532 533 534 535 536 537 538 539 544 547 549 556 557 559\n",
      " 560 561 562 563 564 716 718 719 720 722 723 726 728 729 731 732 733 734\n",
      " 736 737 740 741 742 744 745 746 747 748 749 750 751 752 753 754 755 756\n",
      " 758 760 761 762 764 765 766 768 770 772 774 775 776 777 779 781 782 783\n",
      " 784 785]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[Fold 9/10]\n",
      "TRAIN: [  0   1   2   3   4   5   6   7   8   9  10  11  12  13  14  15  16  17\n",
      "  18  19  20  21  22  23  24  25  26  27  28  29  30  31  32  33  34  35\n",
      "  36  37  38  39  40  41  42  43  44  45  46  47  48  49  50  51  52  53\n",
      "  54  55  56  57  58  59  60  61  62  63  64  65  66  67  68  69  70  71\n",
      "  72  73  74  75  76  77  78  79  80  81  82  83  84  85  86  87  88  89\n",
      "  90  91  92  93  94  95  96  97  98  99 100 101 102 103 104 105 106 107\n",
      " 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125\n",
      " 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143\n",
      " 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161\n",
      " 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179\n",
      " 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197\n",
      " 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215\n",
      " 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233\n",
      " 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251\n",
      " 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269\n",
      " 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287\n",
      " 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305\n",
      " 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323\n",
      " 324 325 326 327 328 329 330 331 332 333 334 335 336 337 338 339 340 341\n",
      " 342 343 344 345 346 347 348 349 350 351 352 353 354 355 356 357 358 359\n",
      " 360 361 362 363 364 365 366 367 368 369 370 371 372 373 374 375 376 377\n",
      " 378 379 380 381 382 383 384 385 386 387 388 389 390 391 392 393 394 395\n",
      " 396 397 398 399 400 401 402 403 404 405 406 407 408 409 410 411 412 413\n",
      " 414 415 416 417 418 419 420 421 422 423 424 425 426 427 428 429 430 431\n",
      " 432 433 434 435 436 437 438 439 440 441 442 443 444 445 446 447 448 449\n",
      " 450 451 452 453 454 455 456 457 458 459 460 461 462 463 464 465 466 467\n",
      " 468 469 470 471 472 473 474 475 476 477 478 479 480 481 482 483 484 485\n",
      " 486 487 488 489 490 491 492 493 494 495 496 497 498 499 500 501 502 503\n",
      " 504 505 506 507 508 509 510 511 512 513 514 515 516 517 518 519 520 521\n",
      " 522 523 524 525 526 527 528 529 530 531 532 533 534 535 536 537 538 539\n",
      " 540 541 542 543 544 545 546 547 548 549 550 551 552 553 554 555 556 557\n",
      " 558 559 560 561 562 563 564 566 567 568 570 572 576 580 581 585 597 598\n",
      " 599 600 601 602 604 605 606 607 608 609 610 611 612 613 615 616 617 618\n",
      " 619 620 621 622 623 624 625 626 627 628 629 630 631 632 633 634 635 636\n",
      " 637 639 640 641 642 643 645 646 647 649 650 651 653 654 655 656 657 658\n",
      " 659 660 661 662 663 664 665 666 667 668 669 670 671 672 673 674 675 676\n",
      " 677 678 679 680 681 682 683 684 685 686 687 688 689 690 691 692 693 694\n",
      " 695 696 697 698 699 700 701 702 703 704 705 707 708 709 710 711 712 713\n",
      " 714 715 716 718 719 720 722 723 726 728 729 731 732 733 734 736 737 740\n",
      " 741 742 744 745 746 747 748 749 750 751 752 753 754 755 756 758 759 760\n",
      " 761 762 763 764 765 766 767 768 769 770 771 772 773 774 775 776 777 778\n",
      " 779 780 781 782 783 784 785 790 792 800 807 811 814 816 819 824 828 829\n",
      " 831 843 848 849 852 853 854 855 856 857 858 859 860 861 862 863 864 865\n",
      " 866 867 868 869 870 871 872 873 874 875 876 877 878 879 880 881 882 883\n",
      " 884 885 886 887 888 889 890 891 892 893 894 895 896 897 898 899 900 901\n",
      " 902 903 904 905 906 907 908 909 910 911 912 913 914 915 916 917 918 919] \n",
      "TEST: [565 569 571 573 574 575 577 578 579 582 583 584 586 587 588 589 590 591\n",
      " 592 593 594 595 596 603 614 638 644 648 652 706 717 721 724 725 727 730\n",
      " 735 738 739 743 757 786 787 788 789 791 793 794 795 796 797 798 799 801\n",
      " 802 803 804 805 806 808 809 810 812 813 815 817 818 820 821 822 823 825\n",
      " 826 827 830 832 833 834 835 836 837 838 839 840 841 842 844 845 846 847\n",
      " 850 851]\n",
      "[Fold 10/10]\n",
      "TRAIN: [  0   1   2   3   4   5   6   7   8   9  10  11  12  13  14  15  16  17\n",
      "  18  19  20  21  22  23  24  25  26  27  28  29  30  31  32  33  34  35\n",
      "  36  37  38  39  40  41  42  43  44  45  46  47  48  49  50  51  52  53\n",
      "  54  55  56  57  58  59  60  61  62  63  64  65  66  67  68  69  70  71\n",
      "  72  73  74  75  76  77  78  79  80  81  82  83  84  85  86  87  88  89\n",
      "  90  91  92  93  94  95  96  97  98  99 100 101 102 103 104 105 106 107\n",
      " 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125\n",
      " 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143\n",
      " 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161\n",
      " 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179\n",
      " 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197\n",
      " 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215\n",
      " 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233\n",
      " 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251\n",
      " 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269\n",
      " 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287\n",
      " 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305\n",
      " 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323\n",
      " 324 325 326 327 328 329 330 331 332 333 334 335 336 337 338 339 340 341\n",
      " 342 343 344 345 346 347 348 349 350 351 352 353 354 355 356 357 358 359\n",
      " 360 361 362 363 364 365 366 367 368 369 370 371 372 373 374 375 376 377\n",
      " 378 379 380 381 382 383 384 385 386 387 388 389 390 391 392 393 394 395\n",
      " 396 397 398 399 400 401 402 403 404 405 406 407 408 409 410 411 412 413\n",
      " 414 415 416 417 418 419 420 421 422 423 424 425 426 427 428 429 430 431\n",
      " 432 433 434 435 436 437 438 439 440 441 442 443 444 445 446 447 448 449\n",
      " 450 451 452 453 454 455 456 457 458 459 460 461 462 463 464 465 466 467\n",
      " 468 469 470 471 472 473 474 475 476 477 478 479 480 481 482 483 484 485\n",
      " 486 487 488 489 490 491 492 493 494 495 496 497 498 499 500 501 502 503\n",
      " 504 505 506 507 508 509 510 511 512 513 514 515 516 517 518 519 520 521\n",
      " 522 523 524 525 526 527 528 529 530 531 532 533 534 535 536 537 538 539\n",
      " 540 541 542 543 544 545 546 547 548 549 550 551 552 553 554 555 556 557\n",
      " 558 559 560 561 562 563 564 565 566 567 568 569 570 571 572 573 574 575\n",
      " 576 577 578 579 580 581 582 583 584 585 586 587 588 589 590 591 592 593\n",
      " 594 595 596 597 598 599 600 601 602 603 604 605 606 607 608 609 610 611\n",
      " 612 613 614 615 616 617 618 619 620 621 622 623 624 625 626 627 628 629\n",
      " 630 631 632 633 634 635 636 637 638 639 640 641 642 643 644 645 646 647\n",
      " 648 649 650 651 652 653 654 655 656 657 658 659 660 661 662 663 664 665\n",
      " 666 667 668 669 670 671 672 673 674 675 676 677 678 679 680 681 682 683\n",
      " 684 685 686 687 688 689 690 691 692 693 694 695 696 697 698 699 700 701\n",
      " 702 703 704 705 706 707 708 709 710 711 712 713 714 715 716 717 718 719\n",
      " 720 721 722 723 724 725 726 727 728 729 730 731 732 733 734 735 736 737\n",
      " 738 739 740 741 742 743 744 745 746 747 748 749 750 751 752 753 754 755\n",
      " 756 757 758 760 761 762 764 765 766 768 770 772 774 775 776 777 779 781\n",
      " 782 783 784 785 786 787 788 789 791 793 794 795 796 797 798 799 801 802\n",
      " 803 804 805 806 808 809 810 812 813 815 817 818 820 821 822 823 825 826\n",
      " 827 830 832 833 834 835 836 837 838 839 840 841 842 844 845 846 847 850\n",
      " 851] \n",
      "TEST: [759 763 767 769 771 773 778 780 790 792 800 807 811 814 816 819 824 828\n",
      " 829 831 843 848 849 852 853 854 855 856 857 858 859 860 861 862 863 864\n",
      " 865 866 867 868 869 870 871 872 873 874 875 876 877 878 879 880 881 882\n",
      " 883 884 885 886 887 888 889 890 891 892 893 894 895 896 897 898 899 900\n",
      " 901 902 903 904 905 906 907 908 909 910 911 912 913 914 915 916 917 918\n",
      " 919]\n",
      "[Fold 1/10]\n",
      "TRAIN: [ 80  81  82  84  85  86  87  88  89  90  92  93  94  98  99 100 101 102\n",
      " 103 105 112 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128\n",
      " 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146\n",
      " 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164\n",
      " 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182\n",
      " 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200\n",
      " 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218\n",
      " 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236\n",
      " 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254\n",
      " 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272\n",
      " 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290\n",
      " 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307 308\n",
      " 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323 324 325 326\n",
      " 327 328 329 330 331 332 333 334 335 336 337 338 339 340 341 342 343 344\n",
      " 345 346 347 348 349 350 351 352 353 354 355 356 357 358 359 360 361 362\n",
      " 363 364 365 366 367 368 369 370 371 372 373 374 375 376 377 378 379 380\n",
      " 381 382 383 384 385 386 387 388 389 390 391 392 393 394 395 396 397 398\n",
      " 399 400 401 402 403 404 405 406 407 408 409 410 411 412 413 414 415 416\n",
      " 417 418 419 420 421 422 423 424 425 426 427 428 429 430 431 432 433 434\n",
      " 435 436 437 438 439 440 441 442 443 444 445 446 447 448 449 450 451 452\n",
      " 453 454 455 456 457 458 459 460 461 462 463 464 465 466 467 468 469 470\n",
      " 471 472 473 474 475 476 477 478 479 480 481 482 483 484 485 486 487 488\n",
      " 489 490 491 492 493 494 495 496 497 498 499 500 501 502 503 504 505 506\n",
      " 507 508 509 510 511 512 513 514 515 516 517 518 519 520 521 522 523 524\n",
      " 525 526 527 528 529 530 531 532 533 534 535 536 537 538 539 540 541 542\n",
      " 543 544 545 546 547 548 549 550 551 552 553 554 555 556 557 558 559 560\n",
      " 561 562 563 564 565 566 567 568 569 570 571 572 573 574 575 576 577 578\n",
      " 579 580 581 582 583 584 585 586 587 588 589 590 591 592 593 594 595 596\n",
      " 597 598 599 600 601 602 603 604 605 606 607 608 609 610 611 612 613 614\n",
      " 615 616 617 618 619 620 621 622 623 624 625 626 627 628 629 630 631 632\n",
      " 633 634 635 636 637 638 639 640 641 642 643 644 645 646 647 648 649 650\n",
      " 651 652 653 654 655 656 657 658 659 660 661 662 663 664 665 666 667 668\n",
      " 669 670 671 672 673 674 675 676 677 678 679 680 681 682 683 684 685 686\n",
      " 687 688 689 690 691 692 693 694 695 696 697 698 699 700 701 702 703 704\n",
      " 705 706 707 708 709 710 711 712 713 714 715 716 717 718 719 720 721 722\n",
      " 723 724 725 726 727 728 729 730 731 732 733 734 735 736 737 738 739 740\n",
      " 741 742 743 744 745 746 747 748 749 750 751 752 753 754 755 756 757 758\n",
      " 759 760 761 762 763 764 765 766 767 768 769 770 771 772 773 774 775 776\n",
      " 777 778 779 780 781 782 783 784 785 786 787 788 789 790 791 792 793 794\n",
      " 795 796 797 798 799 800 801 802 803 804 805 806 807 808 809 810 811 812\n",
      " 813 814 815 816 817 818 819 820 821 822 823 824 825 826 827 828 829 830\n",
      " 831 832 833 834 835 836 837 838 839 840 841 842 843 844 845 846 847 848\n",
      " 849 850 851 852 853 854 855 856 857 858 859 860 861 862 863 864 865 866\n",
      " 867 868 869 870 871 872 873 874 875 876 877 878 879 880 881 882 883 884\n",
      " 885 886 887 888 889 890 891 892 893 894 895 896 897 898 899 900 901 902\n",
      " 903 904 905 906 907 908 909 910 911 912 913 914 915 916 917 918 919] \n",
      "TEST: [  0   1   2   3   4   5   6   7   8   9  10  11  12  13  14  15  16  17\n",
      "  18  19  20  21  22  23  24  25  26  27  28  29  30  31  32  33  34  35\n",
      "  36  37  38  39  40  41  42  43  44  45  46  47  48  49  50  51  52  53\n",
      "  54  55  56  57  58  59  60  61  62  63  64  65  66  67  68  69  70  71\n",
      "  72  73  74  75  76  77  78  79  83  91  95  96  97 104 106 107 108 109\n",
      " 110 111 113]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[Fold 2/10]\n",
      "TRAIN: [  0   1   2   3   4   5   6   7   8   9  10  11  12  13  14  15  16  17\n",
      "  18  19  20  21  22  23  24  25  26  27  28  29  30  31  32  33  34  35\n",
      "  36  37  38  39  40  41  42  43  44  45  46  47  48  49  50  51  52  53\n",
      "  54  55  56  57  58  59  60  61  62  63  64  65  66  67  68  69  70  71\n",
      "  72  73  74  75  76  77  78  79  83  91  95  96  97 104 106 107 108 109\n",
      " 110 111 113 150 151 152 159 160 162 163 164 165 166 167 169 171 173 176\n",
      " 178 179 182 183 185 186 190 194 196 197 198 200 201 202 203 204 208 210\n",
      " 212 215 216 217 218 219 220 221 222 225 226 227 230 231 232 233 234 235\n",
      " 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253\n",
      " 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271\n",
      " 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289\n",
      " 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307\n",
      " 308 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323 324 325\n",
      " 326 327 328 329 330 331 332 333 334 335 336 337 338 339 340 341 342 343\n",
      " 344 345 346 347 348 349 350 351 352 353 354 355 356 357 358 359 360 361\n",
      " 362 363 364 365 366 367 368 369 370 371 372 373 374 375 376 377 378 379\n",
      " 380 381 382 383 384 385 386 387 388 389 390 391 392 393 394 395 396 397\n",
      " 398 399 400 401 402 403 404 405 406 407 408 409 410 411 412 413 414 415\n",
      " 416 417 418 419 420 421 422 423 424 425 426 427 428 429 430 431 432 433\n",
      " 434 435 436 437 438 439 440 441 442 443 444 445 446 447 448 449 450 451\n",
      " 452 453 454 455 456 457 458 459 460 461 462 463 464 465 466 467 468 469\n",
      " 470 471 472 473 474 475 476 477 478 479 480 481 482 483 484 485 486 487\n",
      " 488 489 490 491 492 493 494 495 496 497 498 499 500 501 502 503 504 505\n",
      " 506 507 508 509 510 511 512 513 514 515 516 517 518 519 520 521 522 523\n",
      " 524 525 526 527 528 529 530 531 532 533 534 535 536 537 538 539 540 541\n",
      " 542 543 544 545 546 547 548 549 550 551 552 553 554 555 556 557 558 559\n",
      " 560 561 562 563 564 565 566 567 568 569 570 571 572 573 574 575 576 577\n",
      " 578 579 580 581 582 583 584 585 586 587 588 589 590 591 592 593 594 595\n",
      " 596 597 598 599 600 601 602 603 604 605 606 607 608 609 610 611 612 613\n",
      " 614 615 616 617 618 619 620 621 622 623 624 625 626 627 628 629 630 631\n",
      " 632 633 634 635 636 637 638 639 640 641 642 643 644 645 646 647 648 649\n",
      " 650 651 652 653 654 655 656 657 658 659 660 661 662 663 664 665 666 667\n",
      " 668 669 670 671 672 673 674 675 676 677 678 679 680 681 682 683 684 685\n",
      " 686 687 688 689 690 691 692 693 694 695 696 697 698 699 700 701 702 703\n",
      " 704 705 706 707 708 709 710 711 712 713 714 715 716 717 718 719 720 721\n",
      " 722 723 724 725 726 727 728 729 730 731 732 733 734 735 736 737 738 739\n",
      " 740 741 742 743 744 745 746 747 748 749 750 751 752 753 754 755 756 757\n",
      " 758 759 760 761 762 763 764 765 766 767 768 769 770 771 772 773 774 775\n",
      " 776 777 778 779 780 781 782 783 784 785 786 787 788 789 790 791 792 793\n",
      " 794 795 796 797 798 799 800 801 802 803 804 805 806 807 808 809 810 811\n",
      " 812 813 814 815 816 817 818 819 820 821 822 823 824 825 826 827 828 829\n",
      " 830 831 832 833 834 835 836 837 838 839 840 841 842 843 844 845 846 847\n",
      " 848 849 850 851 852 853 854 855 856 857 858 859 860 861 862 863 864 865\n",
      " 866 867 868 869 870 871 872 873 874 875 876 877 878 879 880 881 882 883\n",
      " 884 885 886 887 888 889 890 891 892 893 894 895 896 897 898 899 900 901\n",
      " 902 903 904 905 906 907 908 909 910 911 912 913 914 915 916 917 918 919] \n",
      "TEST: [ 80  81  82  84  85  86  87  88  89  90  92  93  94  98  99 100 101 102\n",
      " 103 105 112 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128\n",
      " 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146\n",
      " 147 148 149 153 154 155 156 157 158 161 168 170 172 174 175 177 180 181\n",
      " 184 187 188 189 191 192 193 195 199 205 206 207 209 211 213 214 223 224\n",
      " 228 229]\n",
      "[Fold 3/10]\n",
      "TRAIN: [  0   1   2   3   4   5   6   7   8   9  10  11  12  13  14  15  16  17\n",
      "  18  19  20  21  22  23  24  25  26  27  28  29  30  31  32  33  34  35\n",
      "  36  37  38  39  40  41  42  43  44  45  46  47  48  49  50  51  52  53\n",
      "  54  55  56  57  58  59  60  61  62  63  64  65  66  67  68  69  70  71\n",
      "  72  73  74  75  76  77  78  79  80  81  82  83  84  85  86  87  88  89\n",
      "  90  91  92  93  94  95  96  97  98  99 100 101 102 103 104 105 106 107\n",
      " 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125\n",
      " 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143\n",
      " 144 145 146 147 148 149 153 154 155 156 157 158 161 168 170 172 174 175\n",
      " 177 180 181 184 187 188 189 191 192 193 195 199 205 206 207 209 211 213\n",
      " 214 222 223 224 225 226 227 228 229 230 233 234 238 239 240 241 242 244\n",
      " 249 250 252 253 254 255 256 257 258 260 262 263 269 271 273 275 276 277\n",
      " 279 281 283 287 288 289 291 295 302 303 305 307 308 309 310 312 313 315\n",
      " 317 318 320 323 324 325 327 328 329 330 331 332 334 337 338 340 341 342\n",
      " 343 345 346 347 348 349 350 351 352 353 354 355 356 357 358 359 360 361\n",
      " 362 363 364 365 366 367 368 369 370 371 372 373 374 375 376 377 378 379\n",
      " 380 381 382 383 384 385 386 387 388 389 390 391 392 393 394 395 396 397\n",
      " 398 399 400 401 402 403 404 405 406 407 408 409 410 411 412 413 414 415\n",
      " 416 417 418 419 420 421 422 423 424 425 426 427 428 429 430 431 432 433\n",
      " 434 435 436 437 438 439 440 441 442 443 444 445 446 447 448 449 450 451\n",
      " 452 453 454 455 456 457 458 459 460 461 462 463 464 465 466 467 468 469\n",
      " 470 471 472 473 474 475 476 477 478 479 480 481 482 483 484 485 486 487\n",
      " 488 489 490 491 492 493 494 495 496 497 498 499 500 501 502 503 504 505\n",
      " 506 507 508 509 510 511 512 513 514 515 516 517 518 519 520 521 522 523\n",
      " 524 525 526 527 528 529 530 531 532 533 534 535 536 537 538 539 540 541\n",
      " 542 543 544 545 546 547 548 549 550 551 552 553 554 555 556 557 558 559\n",
      " 560 561 562 563 564 565 566 567 568 569 570 571 572 573 574 575 576 577\n",
      " 578 579 580 581 582 583 584 585 586 587 588 589 590 591 592 593 594 595\n",
      " 596 597 598 599 600 601 602 603 604 605 606 607 608 609 610 611 612 613\n",
      " 614 615 616 617 618 619 620 621 622 623 624 625 626 627 628 629 630 631\n",
      " 632 633 634 635 636 637 638 639 640 641 642 643 644 645 646 647 648 649\n",
      " 650 651 652 653 654 655 656 657 658 659 660 661 662 663 664 665 666 667\n",
      " 668 669 670 671 672 673 674 675 676 677 678 679 680 681 682 683 684 685\n",
      " 686 687 688 689 690 691 692 693 694 695 696 697 698 699 700 701 702 703\n",
      " 704 705 706 707 708 709 710 711 712 713 714 715 716 717 718 719 720 721\n",
      " 722 723 724 725 726 727 728 729 730 731 732 733 734 735 736 737 738 739\n",
      " 740 741 742 743 744 745 746 747 748 749 750 751 752 753 754 755 756 757\n",
      " 758 759 760 761 762 763 764 765 766 767 768 769 770 771 772 773 774 775\n",
      " 776 777 778 779 780 781 782 783 784 785 786 787 788 789 790 791 792 793\n",
      " 794 795 796 797 798 799 800 801 802 803 804 805 806 807 808 809 810 811\n",
      " 812 813 814 815 816 817 818 819 820 821 822 823 824 825 826 827 828 829\n",
      " 830 831 832 833 834 835 836 837 838 839 840 841 842 843 844 845 846 847\n",
      " 848 849 850 851 852 853 854 855 856 857 858 859 860 861 862 863 864 865\n",
      " 866 867 868 869 870 871 872 873 874 875 876 877 878 879 880 881 882 883\n",
      " 884 885 886 887 888 889 890 891 892 893 894 895 896 897 898 899 900 901\n",
      " 902 903 904 905 906 907 908 909 910 911 912 913 914 915 916 917 918 919] \n",
      "TEST: [150 151 152 159 160 162 163 164 165 166 167 169 171 173 176 178 179 182\n",
      " 183 185 186 190 194 196 197 198 200 201 202 203 204 208 210 212 215 216\n",
      " 217 218 219 220 221 231 232 235 236 237 243 245 246 247 248 251 259 261\n",
      " 264 265 266 267 268 270 272 274 278 280 282 284 285 286 290 292 293 294\n",
      " 296 297 298 299 300 301 304 306 311 314 316 319 321 322 326 333 335 336\n",
      " 339 344]\n",
      "[Fold 4/10]\n",
      "TRAIN: [  0   1   2   3   4   5   6   7   8   9  10  11  12  13  14  15  16  17\n",
      "  18  19  20  21  22  23  24  25  26  27  28  29  30  31  32  33  34  35\n",
      "  36  37  38  39  40  41  42  43  44  45  46  47  48  49  50  51  52  53\n",
      "  54  55  56  57  58  59  60  61  62  63  64  65  66  67  68  69  70  71\n",
      "  72  73  74  75  76  77  78  79  80  81  82  83  84  85  86  87  88  89\n",
      "  90  91  92  93  94  95  96  97  98  99 100 101 102 103 104 105 106 107\n",
      " 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125\n",
      " 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143\n",
      " 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161\n",
      " 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179\n",
      " 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197\n",
      " 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215\n",
      " 216 217 218 219 220 221 223 224 228 229 231 232 235 236 237 243 245 246\n",
      " 247 248 251 259 261 264 265 266 267 268 270 272 274 278 280 282 284 285\n",
      " 286 290 292 293 294 296 297 298 299 300 301 304 305 306 307 308 309 310\n",
      " 311 312 313 314 315 316 317 318 319 320 321 322 323 324 325 326 327 328\n",
      " 329 330 331 332 333 334 335 336 337 338 339 340 341 342 343 344 345 346\n",
      " 348 349 350 351 355 356 357 358 361 363 364 365 367 368 369 370 372 374\n",
      " 376 378 380 381 383 384 386 390 392 393 394 395 397 399 400 401 402 404\n",
      " 408 409 410 411 412 413 415 416 417 421 424 425 427 428 429 430 431 432\n",
      " 433 437 439 440 446 448 449 450 451 453 454 455 456 457 460 462 465 466\n",
      " 467 468 471 472 473 474 475 476 477 479 480 481 482 483 484 485 486 487\n",
      " 488 489 490 491 492 493 494 495 496 497 498 499 500 501 502 503 504 505\n",
      " 506 507 508 509 510 511 512 513 514 515 516 517 518 519 520 521 522 523\n",
      " 524 525 526 527 528 529 530 531 532 533 534 535 536 537 538 539 540 541\n",
      " 542 543 544 545 546 547 548 549 550 551 552 553 554 555 556 557 558 559\n",
      " 560 561 562 563 564 565 566 567 568 569 570 571 572 573 574 575 576 577\n",
      " 578 579 580 581 582 583 584 585 586 587 588 589 590 591 592 593 594 595\n",
      " 596 597 598 599 600 601 602 603 604 605 606 607 608 609 610 611 612 613\n",
      " 614 615 616 617 618 619 620 621 622 623 624 625 626 627 628 629 630 631\n",
      " 632 633 634 635 636 637 638 639 640 641 642 643 644 645 646 647 648 649\n",
      " 650 651 652 653 654 655 656 657 658 659 660 661 662 663 664 665 666 667\n",
      " 668 669 670 671 672 673 674 675 676 677 678 679 680 681 682 683 684 685\n",
      " 686 687 688 689 690 691 692 693 694 695 696 697 698 699 700 701 702 703\n",
      " 704 705 706 707 708 709 710 711 712 713 714 715 716 717 718 719 720 721\n",
      " 722 723 724 725 726 727 728 729 730 731 732 733 734 735 736 737 738 739\n",
      " 740 741 742 743 744 745 746 747 748 749 750 751 752 753 754 755 756 757\n",
      " 758 759 760 761 762 763 764 765 766 767 768 769 770 771 772 773 774 775\n",
      " 776 777 778 779 780 781 782 783 784 785 786 787 788 789 790 791 792 793\n",
      " 794 795 796 797 798 799 800 801 802 803 804 805 806 807 808 809 810 811\n",
      " 812 813 814 815 816 817 818 819 820 821 822 823 824 825 826 827 828 829\n",
      " 830 831 832 833 834 835 836 837 838 839 840 841 842 843 844 845 846 847\n",
      " 848 849 850 851 852 853 854 855 856 857 858 859 860 861 862 863 864 865\n",
      " 866 867 868 869 870 871 872 873 874 875 876 877 878 879 880 881 882 883\n",
      " 884 885 886 887 888 889 890 891 892 893 894 895 896 897 898 899 900 901\n",
      " 902 903 904 905 906 907 908 909 910 911 912 913 914 915 916 917 918 919] \n",
      "TEST: [222 225 226 227 230 233 234 238 239 240 241 242 244 249 250 252 253 254\n",
      " 255 256 257 258 260 262 263 269 271 273 275 276 277 279 281 283 287 288\n",
      " 289 291 295 302 303 347 352 353 354 359 360 362 366 371 373 375 377 379\n",
      " 382 385 387 388 389 391 396 398 403 405 406 407 414 418 419 420 422 423\n",
      " 426 434 435 436 438 441 442 443 444 445 447 452 458 459 461 463 464 469\n",
      " 470 478]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[Fold 5/10]\n",
      "TRAIN: [  0   1   2   3   4   5   6   7   8   9  10  11  12  13  14  15  16  17\n",
      "  18  19  20  21  22  23  24  25  26  27  28  29  30  31  32  33  34  35\n",
      "  36  37  38  39  40  41  42  43  44  45  46  47  48  49  50  51  52  53\n",
      "  54  55  56  57  58  59  60  61  62  63  64  65  66  67  68  69  70  71\n",
      "  72  73  74  75  76  77  78  79  80  81  82  83  84  85  86  87  88  89\n",
      "  90  91  92  93  94  95  96  97  98  99 100 101 102 103 104 105 106 107\n",
      " 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125\n",
      " 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143\n",
      " 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161\n",
      " 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179\n",
      " 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197\n",
      " 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215\n",
      " 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233\n",
      " 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251\n",
      " 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269\n",
      " 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287\n",
      " 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 306\n",
      " 311 314 316 319 321 322 326 333 335 336 339 344 347 352 353 354 359 360\n",
      " 362 366 367 368 369 370 371 372 373 374 375 376 377 378 379 380 381 382\n",
      " 383 384 385 386 387 388 389 390 391 392 393 394 395 396 397 398 399 400\n",
      " 401 402 403 404 405 406 407 408 409 410 411 412 413 414 415 416 417 418\n",
      " 419 420 421 422 423 424 425 426 427 428 429 430 431 432 433 434 435 436\n",
      " 437 438 439 440 441 442 443 444 445 446 447 448 449 450 451 452 453 454\n",
      " 455 456 457 458 459 460 461 462 463 464 465 466 467 468 469 470 471 472\n",
      " 473 474 475 476 477 478 481 482 483 485 487 488 490 492 494 495 496 497\n",
      " 498 499 500 501 503 504 505 506 507 508 509 510 512 516 517 519 521 522\n",
      " 523 526 527 528 530 532 533 534 535 536 537 538 539 544 547 549 556 557\n",
      " 559 560 561 562 563 564 565 569 571 573 574 575 577 578 579 582 583 584\n",
      " 586 587 588 589 590 591 592 593 594 595 596 603 608 609 610 611 612 613\n",
      " 614 615 616 617 618 619 620 621 622 623 624 625 626 627 628 629 630 631\n",
      " 632 633 634 635 636 637 638 639 640 641 642 643 644 645 646 647 648 649\n",
      " 650 651 652 653 654 655 656 657 658 659 660 661 662 663 664 665 666 667\n",
      " 668 669 670 671 672 673 674 675 676 677 678 679 680 681 682 683 684 685\n",
      " 686 687 688 689 690 691 692 693 694 695 696 697 698 699 700 701 702 703\n",
      " 704 705 706 707 708 709 710 711 712 713 714 715 716 717 718 719 720 721\n",
      " 722 723 724 725 726 727 728 729 730 731 732 733 734 735 736 737 738 739\n",
      " 740 741 742 743 744 745 746 747 748 749 750 751 752 753 754 755 756 757\n",
      " 758 759 760 761 762 763 764 765 766 767 768 769 770 771 772 773 774 775\n",
      " 776 777 778 779 780 781 782 783 784 785 786 787 788 789 790 791 792 793\n",
      " 794 795 796 797 798 799 800 801 802 803 804 805 806 807 808 809 810 811\n",
      " 812 813 814 815 816 817 818 819 820 821 822 823 824 825 826 827 828 829\n",
      " 830 831 832 833 834 835 836 837 838 839 840 841 842 843 844 845 846 847\n",
      " 848 849 850 851 852 853 854 855 856 857 858 859 860 861 862 863 864 865\n",
      " 866 867 868 869 870 871 872 873 874 875 876 877 878 879 880 881 882 883\n",
      " 884 885 886 887 888 889 890 891 892 893 894 895 896 897 898 899 900 901\n",
      " 902 903 904 905 906 907 908 909 910 911 912 913 914 915 916 917 918 919] \n",
      "TEST: [305 307 308 309 310 312 313 315 317 318 320 323 324 325 327 328 329 330\n",
      " 331 332 334 337 338 340 341 342 343 345 346 348 349 350 351 355 356 357\n",
      " 358 361 363 364 365 479 480 484 486 489 491 493 502 511 513 514 515 518\n",
      " 520 524 525 529 531 540 541 542 543 545 546 548 550 551 552 553 554 555\n",
      " 558 566 567 568 570 572 576 580 581 585 597 598 599 600 601 602 604 605\n",
      " 606 607]\n",
      "[Fold 6/10]\n",
      "TRAIN: [  0   1   2   3   4   5   6   7   8   9  10  11  12  13  14  15  16  17\n",
      "  18  19  20  21  22  23  24  25  26  27  28  29  30  31  32  33  34  35\n",
      "  36  37  38  39  40  41  42  43  44  45  46  47  48  49  50  51  52  53\n",
      "  54  55  56  57  58  59  60  61  62  63  64  65  66  67  68  69  70  71\n",
      "  72  73  74  75  76  77  78  79  80  81  82  83  84  85  86  87  88  89\n",
      "  90  91  92  93  94  95  96  97  98  99 100 101 102 103 104 105 106 107\n",
      " 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125\n",
      " 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143\n",
      " 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161\n",
      " 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179\n",
      " 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197\n",
      " 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215\n",
      " 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233\n",
      " 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251\n",
      " 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269\n",
      " 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287\n",
      " 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305\n",
      " 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323\n",
      " 324 325 326 327 328 329 330 331 332 333 334 335 336 337 338 339 340 341\n",
      " 342 343 344 345 346 347 348 349 350 351 352 353 354 355 356 357 358 359\n",
      " 360 361 362 363 364 365 366 371 373 375 377 379 382 385 387 388 389 391\n",
      " 396 398 403 405 406 407 414 418 419 420 422 423 426 432 433 434 435 436\n",
      " 437 438 439 440 441 442 443 444 445 446 447 448 449 450 451 452 453 454\n",
      " 455 456 457 458 459 460 461 462 463 464 465 466 467 468 469 470 471 472\n",
      " 473 474 475 476 477 478 479 480 481 482 483 484 485 486 487 488 489 490\n",
      " 491 492 493 494 495 496 497 498 499 500 501 502 503 504 505 506 507 508\n",
      " 509 510 511 512 513 514 515 516 517 518 519 520 521 522 523 524 525 526\n",
      " 527 528 529 530 531 532 533 534 535 536 537 538 539 540 541 542 543 544\n",
      " 545 546 547 548 549 550 551 552 553 554 555 556 557 558 559 560 561 562\n",
      " 563 564 565 566 567 568 569 570 571 572 573 574 575 576 577 578 579 580\n",
      " 581 582 583 584 585 586 587 588 589 590 591 592 593 594 595 596 597 598\n",
      " 599 600 601 602 603 604 605 606 607 614 638 644 648 652 664 665 666 667\n",
      " 668 669 670 671 672 673 674 675 676 677 678 679 680 681 682 683 684 685\n",
      " 686 687 688 689 690 691 692 693 694 695 696 697 698 699 700 701 702 703\n",
      " 704 705 706 707 708 709 710 711 712 713 714 715 716 717 718 719 720 721\n",
      " 722 723 724 725 726 727 728 729 730 731 732 733 734 735 736 737 738 739\n",
      " 740 741 742 743 744 745 746 747 748 749 750 751 752 753 754 755 756 757\n",
      " 758 759 760 761 762 763 764 765 766 767 768 769 770 771 772 773 774 775\n",
      " 776 777 778 779 780 781 782 783 784 785 786 787 788 789 790 791 792 793\n",
      " 794 795 796 797 798 799 800 801 802 803 804 805 806 807 808 809 810 811\n",
      " 812 813 814 815 816 817 818 819 820 821 822 823 824 825 826 827 828 829\n",
      " 830 831 832 833 834 835 836 837 838 839 840 841 842 843 844 845 846 847\n",
      " 848 849 850 851 852 853 854 855 856 857 858 859 860 861 862 863 864 865\n",
      " 866 867 868 869 870 871 872 873 874 875 876 877 878 879 880 881 882 883\n",
      " 884 885 886 887 888 889 890 891 892 893 894 895 896 897 898 899 900 901\n",
      " 902 903 904 905 906 907 908 909 910 911 912 913 914 915 916 917 918 919] \n",
      "TEST: [367 368 369 370 372 374 376 378 380 381 383 384 386 390 392 393 394 395\n",
      " 397 399 400 401 402 404 408 409 410 411 412 413 415 416 417 421 424 425\n",
      " 427 428 429 430 431 608 609 610 611 612 613 615 616 617 618 619 620 621\n",
      " 622 623 624 625 626 627 628 629 630 631 632 633 634 635 636 637 639 640\n",
      " 641 642 643 645 646 647 649 650 651 653 654 655 656 657 658 659 660 661\n",
      " 662 663]\n",
      "[Fold 7/10]\n",
      "TRAIN: [  0   1   2   3   4   5   6   7   8   9  10  11  12  13  14  15  16  17\n",
      "  18  19  20  21  22  23  24  25  26  27  28  29  30  31  32  33  34  35\n",
      "  36  37  38  39  40  41  42  43  44  45  46  47  48  49  50  51  52  53\n",
      "  54  55  56  57  58  59  60  61  62  63  64  65  66  67  68  69  70  71\n",
      "  72  73  74  75  76  77  78  79  80  81  82  83  84  85  86  87  88  89\n",
      "  90  91  92  93  94  95  96  97  98  99 100 101 102 103 104 105 106 107\n",
      " 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125\n",
      " 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143\n",
      " 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161\n",
      " 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179\n",
      " 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197\n",
      " 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215\n",
      " 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233\n",
      " 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251\n",
      " 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269\n",
      " 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287\n",
      " 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305\n",
      " 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323\n",
      " 324 325 326 327 328 329 330 331 332 333 334 335 336 337 338 339 340 341\n",
      " 342 343 344 345 346 347 348 349 350 351 352 353 354 355 356 357 358 359\n",
      " 360 361 362 363 364 365 366 367 368 369 370 371 372 373 374 375 376 377\n",
      " 378 379 380 381 382 383 384 385 386 387 388 389 390 391 392 393 394 395\n",
      " 396 397 398 399 400 401 402 403 404 405 406 407 408 409 410 411 412 413\n",
      " 414 415 416 417 418 419 420 421 422 423 424 425 426 427 428 429 430 431\n",
      " 434 435 436 438 441 442 443 444 445 447 452 458 459 461 463 464 469 470\n",
      " 478 479 480 484 486 489 491 493 499 500 501 502 503 504 505 506 507 508\n",
      " 509 510 511 512 513 514 515 516 517 518 519 520 521 522 523 524 525 526\n",
      " 527 528 529 530 531 532 533 534 535 536 537 538 539 540 541 542 543 544\n",
      " 545 546 547 548 549 550 551 552 553 554 555 556 557 558 559 560 561 562\n",
      " 563 564 565 566 567 568 569 570 571 572 573 574 575 576 577 578 579 580\n",
      " 581 582 583 584 585 586 587 588 589 590 591 592 593 594 595 596 597 598\n",
      " 599 600 601 602 603 604 605 606 607 608 609 610 611 612 613 614 615 616\n",
      " 617 618 619 620 621 622 623 624 625 626 627 628 629 630 631 632 633 634\n",
      " 635 636 637 638 639 640 641 642 643 644 645 646 647 648 649 650 651 652\n",
      " 653 654 655 656 657 658 659 660 661 662 663 706 716 717 718 719 720 721\n",
      " 722 723 724 725 726 727 728 729 730 731 732 733 734 735 736 737 738 739\n",
      " 740 741 742 743 744 745 746 747 748 749 750 751 752 753 754 755 756 757\n",
      " 758 759 760 761 762 763 764 765 766 767 768 769 770 771 772 773 774 775\n",
      " 776 777 778 779 780 781 782 783 784 785 786 787 788 789 790 791 792 793\n",
      " 794 795 796 797 798 799 800 801 802 803 804 805 806 807 808 809 810 811\n",
      " 812 813 814 815 816 817 818 819 820 821 822 823 824 825 826 827 828 829\n",
      " 830 831 832 833 834 835 836 837 838 839 840 841 842 843 844 845 846 847\n",
      " 848 849 850 851 852 853 854 855 856 857 858 859 860 861 862 863 864 865\n",
      " 866 867 868 869 870 871 872 873 874 875 876 877 878 879 880 881 882 883\n",
      " 884 885 886 887 888 889 890 891 892 893 894 895 896 897 898 899 900 901\n",
      " 902 903 904 905 906 907 908 909 910 911 912 913 914 915 916 917 918 919] \n",
      "TEST: [432 433 437 439 440 446 448 449 450 451 453 454 455 456 457 460 462 465\n",
      " 466 467 468 471 472 473 474 475 476 477 481 482 483 485 487 488 490 492\n",
      " 494 495 496 497 498 664 665 666 667 668 669 670 671 672 673 674 675 676\n",
      " 677 678 679 680 681 682 683 684 685 686 687 688 689 690 691 692 693 694\n",
      " 695 696 697 698 699 700 701 702 703 704 705 707 708 709 710 711 712 713\n",
      " 714 715]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[Fold 8/10]\n",
      "TRAIN: [  0   1   2   3   4   5   6   7   8   9  10  11  12  13  14  15  16  17\n",
      "  18  19  20  21  22  23  24  25  26  27  28  29  30  31  32  33  34  35\n",
      "  36  37  38  39  40  41  42  43  44  45  46  47  48  49  50  51  52  53\n",
      "  54  55  56  57  58  59  60  61  62  63  64  65  66  67  68  69  70  71\n",
      "  72  73  74  75  76  77  78  79  80  81  82  83  84  85  86  87  88  89\n",
      "  90  91  92  93  94  95  96  97  98  99 100 101 102 103 104 105 106 107\n",
      " 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125\n",
      " 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143\n",
      " 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161\n",
      " 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179\n",
      " 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197\n",
      " 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215\n",
      " 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233\n",
      " 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251\n",
      " 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269\n",
      " 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287\n",
      " 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305\n",
      " 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323\n",
      " 324 325 326 327 328 329 330 331 332 333 334 335 336 337 338 339 340 341\n",
      " 342 343 344 345 346 347 348 349 350 351 352 353 354 355 356 357 358 359\n",
      " 360 361 362 363 364 365 366 367 368 369 370 371 372 373 374 375 376 377\n",
      " 378 379 380 381 382 383 384 385 386 387 388 389 390 391 392 393 394 395\n",
      " 396 397 398 399 400 401 402 403 404 405 406 407 408 409 410 411 412 413\n",
      " 414 415 416 417 418 419 420 421 422 423 424 425 426 427 428 429 430 431\n",
      " 432 433 434 435 436 437 438 439 440 441 442 443 444 445 446 447 448 449\n",
      " 450 451 452 453 454 455 456 457 458 459 460 461 462 463 464 465 466 467\n",
      " 468 469 470 471 472 473 474 475 476 477 478 479 480 481 482 483 484 485\n",
      " 486 487 488 489 490 491 492 493 494 495 496 497 498 502 511 513 514 515\n",
      " 518 520 524 525 529 531 540 541 542 543 545 546 548 550 551 552 553 554\n",
      " 555 558 565 566 567 568 569 570 571 572 573 574 575 576 577 578 579 580\n",
      " 581 582 583 584 585 586 587 588 589 590 591 592 593 594 595 596 597 598\n",
      " 599 600 601 602 603 604 605 606 607 608 609 610 611 612 613 614 615 616\n",
      " 617 618 619 620 621 622 623 624 625 626 627 628 629 630 631 632 633 634\n",
      " 635 636 637 638 639 640 641 642 643 644 645 646 647 648 649 650 651 652\n",
      " 653 654 655 656 657 658 659 660 661 662 663 664 665 666 667 668 669 670\n",
      " 671 672 673 674 675 676 677 678 679 680 681 682 683 684 685 686 687 688\n",
      " 689 690 691 692 693 694 695 696 697 698 699 700 701 702 703 704 705 706\n",
      " 707 708 709 710 711 712 713 714 715 717 721 724 725 727 730 735 738 739\n",
      " 743 757 759 763 767 769 771 773 778 780 786 787 788 789 790 791 792 793\n",
      " 794 795 796 797 798 799 800 801 802 803 804 805 806 807 808 809 810 811\n",
      " 812 813 814 815 816 817 818 819 820 821 822 823 824 825 826 827 828 829\n",
      " 830 831 832 833 834 835 836 837 838 839 840 841 842 843 844 845 846 847\n",
      " 848 849 850 851 852 853 854 855 856 857 858 859 860 861 862 863 864 865\n",
      " 866 867 868 869 870 871 872 873 874 875 876 877 878 879 880 881 882 883\n",
      " 884 885 886 887 888 889 890 891 892 893 894 895 896 897 898 899 900 901\n",
      " 902 903 904 905 906 907 908 909 910 911 912 913 914 915 916 917 918 919] \n",
      "TEST: [499 500 501 503 504 505 506 507 508 509 510 512 516 517 519 521 522 523\n",
      " 526 527 528 530 532 533 534 535 536 537 538 539 544 547 549 556 557 559\n",
      " 560 561 562 563 564 716 718 719 720 722 723 726 728 729 731 732 733 734\n",
      " 736 737 740 741 742 744 745 746 747 748 749 750 751 752 753 754 755 756\n",
      " 758 760 761 762 764 765 766 768 770 772 774 775 776 777 779 781 782 783\n",
      " 784 785]\n",
      "[Fold 9/10]\n",
      "TRAIN: [  0   1   2   3   4   5   6   7   8   9  10  11  12  13  14  15  16  17\n",
      "  18  19  20  21  22  23  24  25  26  27  28  29  30  31  32  33  34  35\n",
      "  36  37  38  39  40  41  42  43  44  45  46  47  48  49  50  51  52  53\n",
      "  54  55  56  57  58  59  60  61  62  63  64  65  66  67  68  69  70  71\n",
      "  72  73  74  75  76  77  78  79  80  81  82  83  84  85  86  87  88  89\n",
      "  90  91  92  93  94  95  96  97  98  99 100 101 102 103 104 105 106 107\n",
      " 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125\n",
      " 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143\n",
      " 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161\n",
      " 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179\n",
      " 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197\n",
      " 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215\n",
      " 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233\n",
      " 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251\n",
      " 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269\n",
      " 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287\n",
      " 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305\n",
      " 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323\n",
      " 324 325 326 327 328 329 330 331 332 333 334 335 336 337 338 339 340 341\n",
      " 342 343 344 345 346 347 348 349 350 351 352 353 354 355 356 357 358 359\n",
      " 360 361 362 363 364 365 366 367 368 369 370 371 372 373 374 375 376 377\n",
      " 378 379 380 381 382 383 384 385 386 387 388 389 390 391 392 393 394 395\n",
      " 396 397 398 399 400 401 402 403 404 405 406 407 408 409 410 411 412 413\n",
      " 414 415 416 417 418 419 420 421 422 423 424 425 426 427 428 429 430 431\n",
      " 432 433 434 435 436 437 438 439 440 441 442 443 444 445 446 447 448 449\n",
      " 450 451 452 453 454 455 456 457 458 459 460 461 462 463 464 465 466 467\n",
      " 468 469 470 471 472 473 474 475 476 477 478 479 480 481 482 483 484 485\n",
      " 486 487 488 489 490 491 492 493 494 495 496 497 498 499 500 501 502 503\n",
      " 504 505 506 507 508 509 510 511 512 513 514 515 516 517 518 519 520 521\n",
      " 522 523 524 525 526 527 528 529 530 531 532 533 534 535 536 537 538 539\n",
      " 540 541 542 543 544 545 546 547 548 549 550 551 552 553 554 555 556 557\n",
      " 558 559 560 561 562 563 564 566 567 568 570 572 576 580 581 585 597 598\n",
      " 599 600 601 602 604 605 606 607 608 609 610 611 612 613 615 616 617 618\n",
      " 619 620 621 622 623 624 625 626 627 628 629 630 631 632 633 634 635 636\n",
      " 637 639 640 641 642 643 645 646 647 649 650 651 653 654 655 656 657 658\n",
      " 659 660 661 662 663 664 665 666 667 668 669 670 671 672 673 674 675 676\n",
      " 677 678 679 680 681 682 683 684 685 686 687 688 689 690 691 692 693 694\n",
      " 695 696 697 698 699 700 701 702 703 704 705 707 708 709 710 711 712 713\n",
      " 714 715 716 718 719 720 722 723 726 728 729 731 732 733 734 736 737 740\n",
      " 741 742 744 745 746 747 748 749 750 751 752 753 754 755 756 758 759 760\n",
      " 761 762 763 764 765 766 767 768 769 770 771 772 773 774 775 776 777 778\n",
      " 779 780 781 782 783 784 785 790 792 800 807 811 814 816 819 824 828 829\n",
      " 831 843 848 849 852 853 854 855 856 857 858 859 860 861 862 863 864 865\n",
      " 866 867 868 869 870 871 872 873 874 875 876 877 878 879 880 881 882 883\n",
      " 884 885 886 887 888 889 890 891 892 893 894 895 896 897 898 899 900 901\n",
      " 902 903 904 905 906 907 908 909 910 911 912 913 914 915 916 917 918 919] \n",
      "TEST: [565 569 571 573 574 575 577 578 579 582 583 584 586 587 588 589 590 591\n",
      " 592 593 594 595 596 603 614 638 644 648 652 706 717 721 724 725 727 730\n",
      " 735 738 739 743 757 786 787 788 789 791 793 794 795 796 797 798 799 801\n",
      " 802 803 804 805 806 808 809 810 812 813 815 817 818 820 821 822 823 825\n",
      " 826 827 830 832 833 834 835 836 837 838 839 840 841 842 844 845 846 847\n",
      " 850 851]\n",
      "[Fold 10/10]\n",
      "TRAIN: [  0   1   2   3   4   5   6   7   8   9  10  11  12  13  14  15  16  17\n",
      "  18  19  20  21  22  23  24  25  26  27  28  29  30  31  32  33  34  35\n",
      "  36  37  38  39  40  41  42  43  44  45  46  47  48  49  50  51  52  53\n",
      "  54  55  56  57  58  59  60  61  62  63  64  65  66  67  68  69  70  71\n",
      "  72  73  74  75  76  77  78  79  80  81  82  83  84  85  86  87  88  89\n",
      "  90  91  92  93  94  95  96  97  98  99 100 101 102 103 104 105 106 107\n",
      " 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125\n",
      " 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143\n",
      " 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161\n",
      " 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179\n",
      " 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197\n",
      " 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215\n",
      " 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233\n",
      " 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251\n",
      " 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269\n",
      " 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287\n",
      " 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305\n",
      " 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323\n",
      " 324 325 326 327 328 329 330 331 332 333 334 335 336 337 338 339 340 341\n",
      " 342 343 344 345 346 347 348 349 350 351 352 353 354 355 356 357 358 359\n",
      " 360 361 362 363 364 365 366 367 368 369 370 371 372 373 374 375 376 377\n",
      " 378 379 380 381 382 383 384 385 386 387 388 389 390 391 392 393 394 395\n",
      " 396 397 398 399 400 401 402 403 404 405 406 407 408 409 410 411 412 413\n",
      " 414 415 416 417 418 419 420 421 422 423 424 425 426 427 428 429 430 431\n",
      " 432 433 434 435 436 437 438 439 440 441 442 443 444 445 446 447 448 449\n",
      " 450 451 452 453 454 455 456 457 458 459 460 461 462 463 464 465 466 467\n",
      " 468 469 470 471 472 473 474 475 476 477 478 479 480 481 482 483 484 485\n",
      " 486 487 488 489 490 491 492 493 494 495 496 497 498 499 500 501 502 503\n",
      " 504 505 506 507 508 509 510 511 512 513 514 515 516 517 518 519 520 521\n",
      " 522 523 524 525 526 527 528 529 530 531 532 533 534 535 536 537 538 539\n",
      " 540 541 542 543 544 545 546 547 548 549 550 551 552 553 554 555 556 557\n",
      " 558 559 560 561 562 563 564 565 566 567 568 569 570 571 572 573 574 575\n",
      " 576 577 578 579 580 581 582 583 584 585 586 587 588 589 590 591 592 593\n",
      " 594 595 596 597 598 599 600 601 602 603 604 605 606 607 608 609 610 611\n",
      " 612 613 614 615 616 617 618 619 620 621 622 623 624 625 626 627 628 629\n",
      " 630 631 632 633 634 635 636 637 638 639 640 641 642 643 644 645 646 647\n",
      " 648 649 650 651 652 653 654 655 656 657 658 659 660 661 662 663 664 665\n",
      " 666 667 668 669 670 671 672 673 674 675 676 677 678 679 680 681 682 683\n",
      " 684 685 686 687 688 689 690 691 692 693 694 695 696 697 698 699 700 701\n",
      " 702 703 704 705 706 707 708 709 710 711 712 713 714 715 716 717 718 719\n",
      " 720 721 722 723 724 725 726 727 728 729 730 731 732 733 734 735 736 737\n",
      " 738 739 740 741 742 743 744 745 746 747 748 749 750 751 752 753 754 755\n",
      " 756 757 758 760 761 762 764 765 766 768 770 772 774 775 776 777 779 781\n",
      " 782 783 784 785 786 787 788 789 791 793 794 795 796 797 798 799 801 802\n",
      " 803 804 805 806 808 809 810 812 813 815 817 818 820 821 822 823 825 826\n",
      " 827 830 832 833 834 835 836 837 838 839 840 841 842 844 845 846 847 850\n",
      " 851] \n",
      "TEST: [759 763 767 769 771 773 778 780 790 792 800 807 811 814 816 819 824 828\n",
      " 829 831 843 848 849 852 853 854 855 856 857 858 859 860 861 862 863 864\n",
      " 865 866 867 868 869 870 871 872 873 874 875 876 877 878 879 880 881 882\n",
      " 883 884 885 886 887 888 889 890 891 892 893 894 895 896 897 898 899 900\n",
      " 901 902 903 904 905 906 907 908 909 910 911 912 913 914 915 916 917 918\n",
      " 919]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[Fold 1/10]\n",
      "TRAIN: [ 80  81  82  84  85  86  87  88  89  90  92  93  94  98  99 100 101 102\n",
      " 103 105 112 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128\n",
      " 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146\n",
      " 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164\n",
      " 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182\n",
      " 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200\n",
      " 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218\n",
      " 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236\n",
      " 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254\n",
      " 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272\n",
      " 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290\n",
      " 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307 308\n",
      " 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323 324 325 326\n",
      " 327 328 329 330 331 332 333 334 335 336 337 338 339 340 341 342 343 344\n",
      " 345 346 347 348 349 350 351 352 353 354 355 356 357 358 359 360 361 362\n",
      " 363 364 365 366 367 368 369 370 371 372 373 374 375 376 377 378 379 380\n",
      " 381 382 383 384 385 386 387 388 389 390 391 392 393 394 395 396 397 398\n",
      " 399 400 401 402 403 404 405 406 407 408 409 410 411 412 413 414 415 416\n",
      " 417 418 419 420 421 422 423 424 425 426 427 428 429 430 431 432 433 434\n",
      " 435 436 437 438 439 440 441 442 443 444 445 446 447 448 449 450 451 452\n",
      " 453 454 455 456 457 458 459 460 461 462 463 464 465 466 467 468 469 470\n",
      " 471 472 473 474 475 476 477 478 479 480 481 482 483 484 485 486 487 488\n",
      " 489 490 491 492 493 494 495 496 497 498 499 500 501 502 503 504 505 506\n",
      " 507 508 509 510 511 512 513 514 515 516 517 518 519 520 521 522 523 524\n",
      " 525 526 527 528 529 530 531 532 533 534 535 536 537 538 539 540 541 542\n",
      " 543 544 545 546 547 548 549 550 551 552 553 554 555 556 557 558 559 560\n",
      " 561 562 563 564 565 566 567 568 569 570 571 572 573 574 575 576 577 578\n",
      " 579 580 581 582 583 584 585 586 587 588 589 590 591 592 593 594 595 596\n",
      " 597 598 599 600 601 602 603 604 605 606 607 608 609 610 611 612 613 614\n",
      " 615 616 617 618 619 620 621 622 623 624 625 626 627 628 629 630 631 632\n",
      " 633 634 635 636 637 638 639 640 641 642 643 644 645 646 647 648 649 650\n",
      " 651 652 653 654 655 656 657 658 659 660 661 662 663 664 665 666 667 668\n",
      " 669 670 671 672 673 674 675 676 677 678 679 680 681 682 683 684 685 686\n",
      " 687 688 689 690 691 692 693 694 695 696 697 698 699 700 701 702 703 704\n",
      " 705 706 707 708 709 710 711 712 713 714 715 716 717 718 719 720 721 722\n",
      " 723 724 725 726 727 728 729 730 731 732 733 734 735 736 737 738 739 740\n",
      " 741 742 743 744 745 746 747 748 749 750 751 752 753 754 755 756 757 758\n",
      " 759 760 761 762 763 764 765 766 767 768 769 770 771 772 773 774 775 776\n",
      " 777 778 779 780 781 782 783 784 785 786 787 788 789 790 791 792 793 794\n",
      " 795 796 797 798 799 800 801 802 803 804 805 806 807 808 809 810 811 812\n",
      " 813 814 815 816 817 818 819 820 821 822 823 824 825 826 827 828 829 830\n",
      " 831 832 833 834 835 836 837 838 839 840 841 842 843 844 845 846 847 848\n",
      " 849 850 851 852 853 854 855 856 857 858 859 860 861 862 863 864 865 866\n",
      " 867 868 869 870 871 872 873 874 875 876 877 878 879 880 881 882 883 884\n",
      " 885 886 887 888 889 890 891 892 893 894 895 896 897 898 899 900 901 902\n",
      " 903 904 905 906 907 908 909 910 911 912 913 914 915 916 917 918 919] \n",
      "TEST: [  0   1   2   3   4   5   6   7   8   9  10  11  12  13  14  15  16  17\n",
      "  18  19  20  21  22  23  24  25  26  27  28  29  30  31  32  33  34  35\n",
      "  36  37  38  39  40  41  42  43  44  45  46  47  48  49  50  51  52  53\n",
      "  54  55  56  57  58  59  60  61  62  63  64  65  66  67  68  69  70  71\n",
      "  72  73  74  75  76  77  78  79  83  91  95  96  97 104 106 107 108 109\n",
      " 110 111 113]\n",
      "[Fold 2/10]\n",
      "TRAIN: [  0   1   2   3   4   5   6   7   8   9  10  11  12  13  14  15  16  17\n",
      "  18  19  20  21  22  23  24  25  26  27  28  29  30  31  32  33  34  35\n",
      "  36  37  38  39  40  41  42  43  44  45  46  47  48  49  50  51  52  53\n",
      "  54  55  56  57  58  59  60  61  62  63  64  65  66  67  68  69  70  71\n",
      "  72  73  74  75  76  77  78  79  83  91  95  96  97 104 106 107 108 109\n",
      " 110 111 113 150 151 152 159 160 162 163 164 165 166 167 169 171 173 176\n",
      " 178 179 182 183 185 186 190 194 196 197 198 200 201 202 203 204 208 210\n",
      " 212 215 216 217 218 219 220 221 222 225 226 227 230 231 232 233 234 235\n",
      " 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253\n",
      " 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271\n",
      " 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289\n",
      " 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307\n",
      " 308 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323 324 325\n",
      " 326 327 328 329 330 331 332 333 334 335 336 337 338 339 340 341 342 343\n",
      " 344 345 346 347 348 349 350 351 352 353 354 355 356 357 358 359 360 361\n",
      " 362 363 364 365 366 367 368 369 370 371 372 373 374 375 376 377 378 379\n",
      " 380 381 382 383 384 385 386 387 388 389 390 391 392 393 394 395 396 397\n",
      " 398 399 400 401 402 403 404 405 406 407 408 409 410 411 412 413 414 415\n",
      " 416 417 418 419 420 421 422 423 424 425 426 427 428 429 430 431 432 433\n",
      " 434 435 436 437 438 439 440 441 442 443 444 445 446 447 448 449 450 451\n",
      " 452 453 454 455 456 457 458 459 460 461 462 463 464 465 466 467 468 469\n",
      " 470 471 472 473 474 475 476 477 478 479 480 481 482 483 484 485 486 487\n",
      " 488 489 490 491 492 493 494 495 496 497 498 499 500 501 502 503 504 505\n",
      " 506 507 508 509 510 511 512 513 514 515 516 517 518 519 520 521 522 523\n",
      " 524 525 526 527 528 529 530 531 532 533 534 535 536 537 538 539 540 541\n",
      " 542 543 544 545 546 547 548 549 550 551 552 553 554 555 556 557 558 559\n",
      " 560 561 562 563 564 565 566 567 568 569 570 571 572 573 574 575 576 577\n",
      " 578 579 580 581 582 583 584 585 586 587 588 589 590 591 592 593 594 595\n",
      " 596 597 598 599 600 601 602 603 604 605 606 607 608 609 610 611 612 613\n",
      " 614 615 616 617 618 619 620 621 622 623 624 625 626 627 628 629 630 631\n",
      " 632 633 634 635 636 637 638 639 640 641 642 643 644 645 646 647 648 649\n",
      " 650 651 652 653 654 655 656 657 658 659 660 661 662 663 664 665 666 667\n",
      " 668 669 670 671 672 673 674 675 676 677 678 679 680 681 682 683 684 685\n",
      " 686 687 688 689 690 691 692 693 694 695 696 697 698 699 700 701 702 703\n",
      " 704 705 706 707 708 709 710 711 712 713 714 715 716 717 718 719 720 721\n",
      " 722 723 724 725 726 727 728 729 730 731 732 733 734 735 736 737 738 739\n",
      " 740 741 742 743 744 745 746 747 748 749 750 751 752 753 754 755 756 757\n",
      " 758 759 760 761 762 763 764 765 766 767 768 769 770 771 772 773 774 775\n",
      " 776 777 778 779 780 781 782 783 784 785 786 787 788 789 790 791 792 793\n",
      " 794 795 796 797 798 799 800 801 802 803 804 805 806 807 808 809 810 811\n",
      " 812 813 814 815 816 817 818 819 820 821 822 823 824 825 826 827 828 829\n",
      " 830 831 832 833 834 835 836 837 838 839 840 841 842 843 844 845 846 847\n",
      " 848 849 850 851 852 853 854 855 856 857 858 859 860 861 862 863 864 865\n",
      " 866 867 868 869 870 871 872 873 874 875 876 877 878 879 880 881 882 883\n",
      " 884 885 886 887 888 889 890 891 892 893 894 895 896 897 898 899 900 901\n",
      " 902 903 904 905 906 907 908 909 910 911 912 913 914 915 916 917 918 919] \n",
      "TEST: [ 80  81  82  84  85  86  87  88  89  90  92  93  94  98  99 100 101 102\n",
      " 103 105 112 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128\n",
      " 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146\n",
      " 147 148 149 153 154 155 156 157 158 161 168 170 172 174 175 177 180 181\n",
      " 184 187 188 189 191 192 193 195 199 205 206 207 209 211 213 214 223 224\n",
      " 228 229]\n",
      "[Fold 3/10]\n",
      "TRAIN: [  0   1   2   3   4   5   6   7   8   9  10  11  12  13  14  15  16  17\n",
      "  18  19  20  21  22  23  24  25  26  27  28  29  30  31  32  33  34  35\n",
      "  36  37  38  39  40  41  42  43  44  45  46  47  48  49  50  51  52  53\n",
      "  54  55  56  57  58  59  60  61  62  63  64  65  66  67  68  69  70  71\n",
      "  72  73  74  75  76  77  78  79  80  81  82  83  84  85  86  87  88  89\n",
      "  90  91  92  93  94  95  96  97  98  99 100 101 102 103 104 105 106 107\n",
      " 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125\n",
      " 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143\n",
      " 144 145 146 147 148 149 153 154 155 156 157 158 161 168 170 172 174 175\n",
      " 177 180 181 184 187 188 189 191 192 193 195 199 205 206 207 209 211 213\n",
      " 214 222 223 224 225 226 227 228 229 230 233 234 238 239 240 241 242 244\n",
      " 249 250 252 253 254 255 256 257 258 260 262 263 269 271 273 275 276 277\n",
      " 279 281 283 287 288 289 291 295 302 303 305 307 308 309 310 312 313 315\n",
      " 317 318 320 323 324 325 327 328 329 330 331 332 334 337 338 340 341 342\n",
      " 343 345 346 347 348 349 350 351 352 353 354 355 356 357 358 359 360 361\n",
      " 362 363 364 365 366 367 368 369 370 371 372 373 374 375 376 377 378 379\n",
      " 380 381 382 383 384 385 386 387 388 389 390 391 392 393 394 395 396 397\n",
      " 398 399 400 401 402 403 404 405 406 407 408 409 410 411 412 413 414 415\n",
      " 416 417 418 419 420 421 422 423 424 425 426 427 428 429 430 431 432 433\n",
      " 434 435 436 437 438 439 440 441 442 443 444 445 446 447 448 449 450 451\n",
      " 452 453 454 455 456 457 458 459 460 461 462 463 464 465 466 467 468 469\n",
      " 470 471 472 473 474 475 476 477 478 479 480 481 482 483 484 485 486 487\n",
      " 488 489 490 491 492 493 494 495 496 497 498 499 500 501 502 503 504 505\n",
      " 506 507 508 509 510 511 512 513 514 515 516 517 518 519 520 521 522 523\n",
      " 524 525 526 527 528 529 530 531 532 533 534 535 536 537 538 539 540 541\n",
      " 542 543 544 545 546 547 548 549 550 551 552 553 554 555 556 557 558 559\n",
      " 560 561 562 563 564 565 566 567 568 569 570 571 572 573 574 575 576 577\n",
      " 578 579 580 581 582 583 584 585 586 587 588 589 590 591 592 593 594 595\n",
      " 596 597 598 599 600 601 602 603 604 605 606 607 608 609 610 611 612 613\n",
      " 614 615 616 617 618 619 620 621 622 623 624 625 626 627 628 629 630 631\n",
      " 632 633 634 635 636 637 638 639 640 641 642 643 644 645 646 647 648 649\n",
      " 650 651 652 653 654 655 656 657 658 659 660 661 662 663 664 665 666 667\n",
      " 668 669 670 671 672 673 674 675 676 677 678 679 680 681 682 683 684 685\n",
      " 686 687 688 689 690 691 692 693 694 695 696 697 698 699 700 701 702 703\n",
      " 704 705 706 707 708 709 710 711 712 713 714 715 716 717 718 719 720 721\n",
      " 722 723 724 725 726 727 728 729 730 731 732 733 734 735 736 737 738 739\n",
      " 740 741 742 743 744 745 746 747 748 749 750 751 752 753 754 755 756 757\n",
      " 758 759 760 761 762 763 764 765 766 767 768 769 770 771 772 773 774 775\n",
      " 776 777 778 779 780 781 782 783 784 785 786 787 788 789 790 791 792 793\n",
      " 794 795 796 797 798 799 800 801 802 803 804 805 806 807 808 809 810 811\n",
      " 812 813 814 815 816 817 818 819 820 821 822 823 824 825 826 827 828 829\n",
      " 830 831 832 833 834 835 836 837 838 839 840 841 842 843 844 845 846 847\n",
      " 848 849 850 851 852 853 854 855 856 857 858 859 860 861 862 863 864 865\n",
      " 866 867 868 869 870 871 872 873 874 875 876 877 878 879 880 881 882 883\n",
      " 884 885 886 887 888 889 890 891 892 893 894 895 896 897 898 899 900 901\n",
      " 902 903 904 905 906 907 908 909 910 911 912 913 914 915 916 917 918 919] \n",
      "TEST: [150 151 152 159 160 162 163 164 165 166 167 169 171 173 176 178 179 182\n",
      " 183 185 186 190 194 196 197 198 200 201 202 203 204 208 210 212 215 216\n",
      " 217 218 219 220 221 231 232 235 236 237 243 245 246 247 248 251 259 261\n",
      " 264 265 266 267 268 270 272 274 278 280 282 284 285 286 290 292 293 294\n",
      " 296 297 298 299 300 301 304 306 311 314 316 319 321 322 326 333 335 336\n",
      " 339 344]\n",
      "[Fold 4/10]\n",
      "TRAIN: [  0   1   2   3   4   5   6   7   8   9  10  11  12  13  14  15  16  17\n",
      "  18  19  20  21  22  23  24  25  26  27  28  29  30  31  32  33  34  35\n",
      "  36  37  38  39  40  41  42  43  44  45  46  47  48  49  50  51  52  53\n",
      "  54  55  56  57  58  59  60  61  62  63  64  65  66  67  68  69  70  71\n",
      "  72  73  74  75  76  77  78  79  80  81  82  83  84  85  86  87  88  89\n",
      "  90  91  92  93  94  95  96  97  98  99 100 101 102 103 104 105 106 107\n",
      " 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125\n",
      " 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143\n",
      " 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161\n",
      " 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179\n",
      " 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197\n",
      " 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215\n",
      " 216 217 218 219 220 221 223 224 228 229 231 232 235 236 237 243 245 246\n",
      " 247 248 251 259 261 264 265 266 267 268 270 272 274 278 280 282 284 285\n",
      " 286 290 292 293 294 296 297 298 299 300 301 304 305 306 307 308 309 310\n",
      " 311 312 313 314 315 316 317 318 319 320 321 322 323 324 325 326 327 328\n",
      " 329 330 331 332 333 334 335 336 337 338 339 340 341 342 343 344 345 346\n",
      " 348 349 350 351 355 356 357 358 361 363 364 365 367 368 369 370 372 374\n",
      " 376 378 380 381 383 384 386 390 392 393 394 395 397 399 400 401 402 404\n",
      " 408 409 410 411 412 413 415 416 417 421 424 425 427 428 429 430 431 432\n",
      " 433 437 439 440 446 448 449 450 451 453 454 455 456 457 460 462 465 466\n",
      " 467 468 471 472 473 474 475 476 477 479 480 481 482 483 484 485 486 487\n",
      " 488 489 490 491 492 493 494 495 496 497 498 499 500 501 502 503 504 505\n",
      " 506 507 508 509 510 511 512 513 514 515 516 517 518 519 520 521 522 523\n",
      " 524 525 526 527 528 529 530 531 532 533 534 535 536 537 538 539 540 541\n",
      " 542 543 544 545 546 547 548 549 550 551 552 553 554 555 556 557 558 559\n",
      " 560 561 562 563 564 565 566 567 568 569 570 571 572 573 574 575 576 577\n",
      " 578 579 580 581 582 583 584 585 586 587 588 589 590 591 592 593 594 595\n",
      " 596 597 598 599 600 601 602 603 604 605 606 607 608 609 610 611 612 613\n",
      " 614 615 616 617 618 619 620 621 622 623 624 625 626 627 628 629 630 631\n",
      " 632 633 634 635 636 637 638 639 640 641 642 643 644 645 646 647 648 649\n",
      " 650 651 652 653 654 655 656 657 658 659 660 661 662 663 664 665 666 667\n",
      " 668 669 670 671 672 673 674 675 676 677 678 679 680 681 682 683 684 685\n",
      " 686 687 688 689 690 691 692 693 694 695 696 697 698 699 700 701 702 703\n",
      " 704 705 706 707 708 709 710 711 712 713 714 715 716 717 718 719 720 721\n",
      " 722 723 724 725 726 727 728 729 730 731 732 733 734 735 736 737 738 739\n",
      " 740 741 742 743 744 745 746 747 748 749 750 751 752 753 754 755 756 757\n",
      " 758 759 760 761 762 763 764 765 766 767 768 769 770 771 772 773 774 775\n",
      " 776 777 778 779 780 781 782 783 784 785 786 787 788 789 790 791 792 793\n",
      " 794 795 796 797 798 799 800 801 802 803 804 805 806 807 808 809 810 811\n",
      " 812 813 814 815 816 817 818 819 820 821 822 823 824 825 826 827 828 829\n",
      " 830 831 832 833 834 835 836 837 838 839 840 841 842 843 844 845 846 847\n",
      " 848 849 850 851 852 853 854 855 856 857 858 859 860 861 862 863 864 865\n",
      " 866 867 868 869 870 871 872 873 874 875 876 877 878 879 880 881 882 883\n",
      " 884 885 886 887 888 889 890 891 892 893 894 895 896 897 898 899 900 901\n",
      " 902 903 904 905 906 907 908 909 910 911 912 913 914 915 916 917 918 919] \n",
      "TEST: [222 225 226 227 230 233 234 238 239 240 241 242 244 249 250 252 253 254\n",
      " 255 256 257 258 260 262 263 269 271 273 275 276 277 279 281 283 287 288\n",
      " 289 291 295 302 303 347 352 353 354 359 360 362 366 371 373 375 377 379\n",
      " 382 385 387 388 389 391 396 398 403 405 406 407 414 418 419 420 422 423\n",
      " 426 434 435 436 438 441 442 443 444 445 447 452 458 459 461 463 464 469\n",
      " 470 478]\n",
      "[Fold 5/10]\n",
      "TRAIN: [  0   1   2   3   4   5   6   7   8   9  10  11  12  13  14  15  16  17\n",
      "  18  19  20  21  22  23  24  25  26  27  28  29  30  31  32  33  34  35\n",
      "  36  37  38  39  40  41  42  43  44  45  46  47  48  49  50  51  52  53\n",
      "  54  55  56  57  58  59  60  61  62  63  64  65  66  67  68  69  70  71\n",
      "  72  73  74  75  76  77  78  79  80  81  82  83  84  85  86  87  88  89\n",
      "  90  91  92  93  94  95  96  97  98  99 100 101 102 103 104 105 106 107\n",
      " 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125\n",
      " 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143\n",
      " 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161\n",
      " 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179\n",
      " 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197\n",
      " 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215\n",
      " 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233\n",
      " 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251\n",
      " 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269\n",
      " 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287\n",
      " 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 306\n",
      " 311 314 316 319 321 322 326 333 335 336 339 344 347 352 353 354 359 360\n",
      " 362 366 367 368 369 370 371 372 373 374 375 376 377 378 379 380 381 382\n",
      " 383 384 385 386 387 388 389 390 391 392 393 394 395 396 397 398 399 400\n",
      " 401 402 403 404 405 406 407 408 409 410 411 412 413 414 415 416 417 418\n",
      " 419 420 421 422 423 424 425 426 427 428 429 430 431 432 433 434 435 436\n",
      " 437 438 439 440 441 442 443 444 445 446 447 448 449 450 451 452 453 454\n",
      " 455 456 457 458 459 460 461 462 463 464 465 466 467 468 469 470 471 472\n",
      " 473 474 475 476 477 478 481 482 483 485 487 488 490 492 494 495 496 497\n",
      " 498 499 500 501 503 504 505 506 507 508 509 510 512 516 517 519 521 522\n",
      " 523 526 527 528 530 532 533 534 535 536 537 538 539 544 547 549 556 557\n",
      " 559 560 561 562 563 564 565 569 571 573 574 575 577 578 579 582 583 584\n",
      " 586 587 588 589 590 591 592 593 594 595 596 603 608 609 610 611 612 613\n",
      " 614 615 616 617 618 619 620 621 622 623 624 625 626 627 628 629 630 631\n",
      " 632 633 634 635 636 637 638 639 640 641 642 643 644 645 646 647 648 649\n",
      " 650 651 652 653 654 655 656 657 658 659 660 661 662 663 664 665 666 667\n",
      " 668 669 670 671 672 673 674 675 676 677 678 679 680 681 682 683 684 685\n",
      " 686 687 688 689 690 691 692 693 694 695 696 697 698 699 700 701 702 703\n",
      " 704 705 706 707 708 709 710 711 712 713 714 715 716 717 718 719 720 721\n",
      " 722 723 724 725 726 727 728 729 730 731 732 733 734 735 736 737 738 739\n",
      " 740 741 742 743 744 745 746 747 748 749 750 751 752 753 754 755 756 757\n",
      " 758 759 760 761 762 763 764 765 766 767 768 769 770 771 772 773 774 775\n",
      " 776 777 778 779 780 781 782 783 784 785 786 787 788 789 790 791 792 793\n",
      " 794 795 796 797 798 799 800 801 802 803 804 805 806 807 808 809 810 811\n",
      " 812 813 814 815 816 817 818 819 820 821 822 823 824 825 826 827 828 829\n",
      " 830 831 832 833 834 835 836 837 838 839 840 841 842 843 844 845 846 847\n",
      " 848 849 850 851 852 853 854 855 856 857 858 859 860 861 862 863 864 865\n",
      " 866 867 868 869 870 871 872 873 874 875 876 877 878 879 880 881 882 883\n",
      " 884 885 886 887 888 889 890 891 892 893 894 895 896 897 898 899 900 901\n",
      " 902 903 904 905 906 907 908 909 910 911 912 913 914 915 916 917 918 919] \n",
      "TEST: [305 307 308 309 310 312 313 315 317 318 320 323 324 325 327 328 329 330\n",
      " 331 332 334 337 338 340 341 342 343 345 346 348 349 350 351 355 356 357\n",
      " 358 361 363 364 365 479 480 484 486 489 491 493 502 511 513 514 515 518\n",
      " 520 524 525 529 531 540 541 542 543 545 546 548 550 551 552 553 554 555\n",
      " 558 566 567 568 570 572 576 580 581 585 597 598 599 600 601 602 604 605\n",
      " 606 607]\n",
      "[Fold 6/10]\n",
      "TRAIN: [  0   1   2   3   4   5   6   7   8   9  10  11  12  13  14  15  16  17\n",
      "  18  19  20  21  22  23  24  25  26  27  28  29  30  31  32  33  34  35\n",
      "  36  37  38  39  40  41  42  43  44  45  46  47  48  49  50  51  52  53\n",
      "  54  55  56  57  58  59  60  61  62  63  64  65  66  67  68  69  70  71\n",
      "  72  73  74  75  76  77  78  79  80  81  82  83  84  85  86  87  88  89\n",
      "  90  91  92  93  94  95  96  97  98  99 100 101 102 103 104 105 106 107\n",
      " 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125\n",
      " 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143\n",
      " 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161\n",
      " 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179\n",
      " 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197\n",
      " 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215\n",
      " 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233\n",
      " 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251\n",
      " 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269\n",
      " 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287\n",
      " 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305\n",
      " 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323\n",
      " 324 325 326 327 328 329 330 331 332 333 334 335 336 337 338 339 340 341\n",
      " 342 343 344 345 346 347 348 349 350 351 352 353 354 355 356 357 358 359\n",
      " 360 361 362 363 364 365 366 371 373 375 377 379 382 385 387 388 389 391\n",
      " 396 398 403 405 406 407 414 418 419 420 422 423 426 432 433 434 435 436\n",
      " 437 438 439 440 441 442 443 444 445 446 447 448 449 450 451 452 453 454\n",
      " 455 456 457 458 459 460 461 462 463 464 465 466 467 468 469 470 471 472\n",
      " 473 474 475 476 477 478 479 480 481 482 483 484 485 486 487 488 489 490\n",
      " 491 492 493 494 495 496 497 498 499 500 501 502 503 504 505 506 507 508\n",
      " 509 510 511 512 513 514 515 516 517 518 519 520 521 522 523 524 525 526\n",
      " 527 528 529 530 531 532 533 534 535 536 537 538 539 540 541 542 543 544\n",
      " 545 546 547 548 549 550 551 552 553 554 555 556 557 558 559 560 561 562\n",
      " 563 564 565 566 567 568 569 570 571 572 573 574 575 576 577 578 579 580\n",
      " 581 582 583 584 585 586 587 588 589 590 591 592 593 594 595 596 597 598\n",
      " 599 600 601 602 603 604 605 606 607 614 638 644 648 652 664 665 666 667\n",
      " 668 669 670 671 672 673 674 675 676 677 678 679 680 681 682 683 684 685\n",
      " 686 687 688 689 690 691 692 693 694 695 696 697 698 699 700 701 702 703\n",
      " 704 705 706 707 708 709 710 711 712 713 714 715 716 717 718 719 720 721\n",
      " 722 723 724 725 726 727 728 729 730 731 732 733 734 735 736 737 738 739\n",
      " 740 741 742 743 744 745 746 747 748 749 750 751 752 753 754 755 756 757\n",
      " 758 759 760 761 762 763 764 765 766 767 768 769 770 771 772 773 774 775\n",
      " 776 777 778 779 780 781 782 783 784 785 786 787 788 789 790 791 792 793\n",
      " 794 795 796 797 798 799 800 801 802 803 804 805 806 807 808 809 810 811\n",
      " 812 813 814 815 816 817 818 819 820 821 822 823 824 825 826 827 828 829\n",
      " 830 831 832 833 834 835 836 837 838 839 840 841 842 843 844 845 846 847\n",
      " 848 849 850 851 852 853 854 855 856 857 858 859 860 861 862 863 864 865\n",
      " 866 867 868 869 870 871 872 873 874 875 876 877 878 879 880 881 882 883\n",
      " 884 885 886 887 888 889 890 891 892 893 894 895 896 897 898 899 900 901\n",
      " 902 903 904 905 906 907 908 909 910 911 912 913 914 915 916 917 918 919] \n",
      "TEST: [367 368 369 370 372 374 376 378 380 381 383 384 386 390 392 393 394 395\n",
      " 397 399 400 401 402 404 408 409 410 411 412 413 415 416 417 421 424 425\n",
      " 427 428 429 430 431 608 609 610 611 612 613 615 616 617 618 619 620 621\n",
      " 622 623 624 625 626 627 628 629 630 631 632 633 634 635 636 637 639 640\n",
      " 641 642 643 645 646 647 649 650 651 653 654 655 656 657 658 659 660 661\n",
      " 662 663]\n",
      "[Fold 7/10]\n",
      "TRAIN: [  0   1   2   3   4   5   6   7   8   9  10  11  12  13  14  15  16  17\n",
      "  18  19  20  21  22  23  24  25  26  27  28  29  30  31  32  33  34  35\n",
      "  36  37  38  39  40  41  42  43  44  45  46  47  48  49  50  51  52  53\n",
      "  54  55  56  57  58  59  60  61  62  63  64  65  66  67  68  69  70  71\n",
      "  72  73  74  75  76  77  78  79  80  81  82  83  84  85  86  87  88  89\n",
      "  90  91  92  93  94  95  96  97  98  99 100 101 102 103 104 105 106 107\n",
      " 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125\n",
      " 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143\n",
      " 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161\n",
      " 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179\n",
      " 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197\n",
      " 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215\n",
      " 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233\n",
      " 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251\n",
      " 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269\n",
      " 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287\n",
      " 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305\n",
      " 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323\n",
      " 324 325 326 327 328 329 330 331 332 333 334 335 336 337 338 339 340 341\n",
      " 342 343 344 345 346 347 348 349 350 351 352 353 354 355 356 357 358 359\n",
      " 360 361 362 363 364 365 366 367 368 369 370 371 372 373 374 375 376 377\n",
      " 378 379 380 381 382 383 384 385 386 387 388 389 390 391 392 393 394 395\n",
      " 396 397 398 399 400 401 402 403 404 405 406 407 408 409 410 411 412 413\n",
      " 414 415 416 417 418 419 420 421 422 423 424 425 426 427 428 429 430 431\n",
      " 434 435 436 438 441 442 443 444 445 447 452 458 459 461 463 464 469 470\n",
      " 478 479 480 484 486 489 491 493 499 500 501 502 503 504 505 506 507 508\n",
      " 509 510 511 512 513 514 515 516 517 518 519 520 521 522 523 524 525 526\n",
      " 527 528 529 530 531 532 533 534 535 536 537 538 539 540 541 542 543 544\n",
      " 545 546 547 548 549 550 551 552 553 554 555 556 557 558 559 560 561 562\n",
      " 563 564 565 566 567 568 569 570 571 572 573 574 575 576 577 578 579 580\n",
      " 581 582 583 584 585 586 587 588 589 590 591 592 593 594 595 596 597 598\n",
      " 599 600 601 602 603 604 605 606 607 608 609 610 611 612 613 614 615 616\n",
      " 617 618 619 620 621 622 623 624 625 626 627 628 629 630 631 632 633 634\n",
      " 635 636 637 638 639 640 641 642 643 644 645 646 647 648 649 650 651 652\n",
      " 653 654 655 656 657 658 659 660 661 662 663 706 716 717 718 719 720 721\n",
      " 722 723 724 725 726 727 728 729 730 731 732 733 734 735 736 737 738 739\n",
      " 740 741 742 743 744 745 746 747 748 749 750 751 752 753 754 755 756 757\n",
      " 758 759 760 761 762 763 764 765 766 767 768 769 770 771 772 773 774 775\n",
      " 776 777 778 779 780 781 782 783 784 785 786 787 788 789 790 791 792 793\n",
      " 794 795 796 797 798 799 800 801 802 803 804 805 806 807 808 809 810 811\n",
      " 812 813 814 815 816 817 818 819 820 821 822 823 824 825 826 827 828 829\n",
      " 830 831 832 833 834 835 836 837 838 839 840 841 842 843 844 845 846 847\n",
      " 848 849 850 851 852 853 854 855 856 857 858 859 860 861 862 863 864 865\n",
      " 866 867 868 869 870 871 872 873 874 875 876 877 878 879 880 881 882 883\n",
      " 884 885 886 887 888 889 890 891 892 893 894 895 896 897 898 899 900 901\n",
      " 902 903 904 905 906 907 908 909 910 911 912 913 914 915 916 917 918 919] \n",
      "TEST: [432 433 437 439 440 446 448 449 450 451 453 454 455 456 457 460 462 465\n",
      " 466 467 468 471 472 473 474 475 476 477 481 482 483 485 487 488 490 492\n",
      " 494 495 496 497 498 664 665 666 667 668 669 670 671 672 673 674 675 676\n",
      " 677 678 679 680 681 682 683 684 685 686 687 688 689 690 691 692 693 694\n",
      " 695 696 697 698 699 700 701 702 703 704 705 707 708 709 710 711 712 713\n",
      " 714 715]\n",
      "[Fold 8/10]\n",
      "TRAIN: [  0   1   2   3   4   5   6   7   8   9  10  11  12  13  14  15  16  17\n",
      "  18  19  20  21  22  23  24  25  26  27  28  29  30  31  32  33  34  35\n",
      "  36  37  38  39  40  41  42  43  44  45  46  47  48  49  50  51  52  53\n",
      "  54  55  56  57  58  59  60  61  62  63  64  65  66  67  68  69  70  71\n",
      "  72  73  74  75  76  77  78  79  80  81  82  83  84  85  86  87  88  89\n",
      "  90  91  92  93  94  95  96  97  98  99 100 101 102 103 104 105 106 107\n",
      " 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125\n",
      " 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143\n",
      " 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161\n",
      " 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179\n",
      " 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197\n",
      " 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215\n",
      " 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233\n",
      " 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251\n",
      " 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269\n",
      " 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287\n",
      " 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305\n",
      " 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323\n",
      " 324 325 326 327 328 329 330 331 332 333 334 335 336 337 338 339 340 341\n",
      " 342 343 344 345 346 347 348 349 350 351 352 353 354 355 356 357 358 359\n",
      " 360 361 362 363 364 365 366 367 368 369 370 371 372 373 374 375 376 377\n",
      " 378 379 380 381 382 383 384 385 386 387 388 389 390 391 392 393 394 395\n",
      " 396 397 398 399 400 401 402 403 404 405 406 407 408 409 410 411 412 413\n",
      " 414 415 416 417 418 419 420 421 422 423 424 425 426 427 428 429 430 431\n",
      " 432 433 434 435 436 437 438 439 440 441 442 443 444 445 446 447 448 449\n",
      " 450 451 452 453 454 455 456 457 458 459 460 461 462 463 464 465 466 467\n",
      " 468 469 470 471 472 473 474 475 476 477 478 479 480 481 482 483 484 485\n",
      " 486 487 488 489 490 491 492 493 494 495 496 497 498 502 511 513 514 515\n",
      " 518 520 524 525 529 531 540 541 542 543 545 546 548 550 551 552 553 554\n",
      " 555 558 565 566 567 568 569 570 571 572 573 574 575 576 577 578 579 580\n",
      " 581 582 583 584 585 586 587 588 589 590 591 592 593 594 595 596 597 598\n",
      " 599 600 601 602 603 604 605 606 607 608 609 610 611 612 613 614 615 616\n",
      " 617 618 619 620 621 622 623 624 625 626 627 628 629 630 631 632 633 634\n",
      " 635 636 637 638 639 640 641 642 643 644 645 646 647 648 649 650 651 652\n",
      " 653 654 655 656 657 658 659 660 661 662 663 664 665 666 667 668 669 670\n",
      " 671 672 673 674 675 676 677 678 679 680 681 682 683 684 685 686 687 688\n",
      " 689 690 691 692 693 694 695 696 697 698 699 700 701 702 703 704 705 706\n",
      " 707 708 709 710 711 712 713 714 715 717 721 724 725 727 730 735 738 739\n",
      " 743 757 759 763 767 769 771 773 778 780 786 787 788 789 790 791 792 793\n",
      " 794 795 796 797 798 799 800 801 802 803 804 805 806 807 808 809 810 811\n",
      " 812 813 814 815 816 817 818 819 820 821 822 823 824 825 826 827 828 829\n",
      " 830 831 832 833 834 835 836 837 838 839 840 841 842 843 844 845 846 847\n",
      " 848 849 850 851 852 853 854 855 856 857 858 859 860 861 862 863 864 865\n",
      " 866 867 868 869 870 871 872 873 874 875 876 877 878 879 880 881 882 883\n",
      " 884 885 886 887 888 889 890 891 892 893 894 895 896 897 898 899 900 901\n",
      " 902 903 904 905 906 907 908 909 910 911 912 913 914 915 916 917 918 919] \n",
      "TEST: [499 500 501 503 504 505 506 507 508 509 510 512 516 517 519 521 522 523\n",
      " 526 527 528 530 532 533 534 535 536 537 538 539 544 547 549 556 557 559\n",
      " 560 561 562 563 564 716 718 719 720 722 723 726 728 729 731 732 733 734\n",
      " 736 737 740 741 742 744 745 746 747 748 749 750 751 752 753 754 755 756\n",
      " 758 760 761 762 764 765 766 768 770 772 774 775 776 777 779 781 782 783\n",
      " 784 785]\n",
      "[Fold 9/10]\n",
      "TRAIN: [  0   1   2   3   4   5   6   7   8   9  10  11  12  13  14  15  16  17\n",
      "  18  19  20  21  22  23  24  25  26  27  28  29  30  31  32  33  34  35\n",
      "  36  37  38  39  40  41  42  43  44  45  46  47  48  49  50  51  52  53\n",
      "  54  55  56  57  58  59  60  61  62  63  64  65  66  67  68  69  70  71\n",
      "  72  73  74  75  76  77  78  79  80  81  82  83  84  85  86  87  88  89\n",
      "  90  91  92  93  94  95  96  97  98  99 100 101 102 103 104 105 106 107\n",
      " 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125\n",
      " 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143\n",
      " 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161\n",
      " 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179\n",
      " 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197\n",
      " 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215\n",
      " 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233\n",
      " 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251\n",
      " 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269\n",
      " 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287\n",
      " 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305\n",
      " 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323\n",
      " 324 325 326 327 328 329 330 331 332 333 334 335 336 337 338 339 340 341\n",
      " 342 343 344 345 346 347 348 349 350 351 352 353 354 355 356 357 358 359\n",
      " 360 361 362 363 364 365 366 367 368 369 370 371 372 373 374 375 376 377\n",
      " 378 379 380 381 382 383 384 385 386 387 388 389 390 391 392 393 394 395\n",
      " 396 397 398 399 400 401 402 403 404 405 406 407 408 409 410 411 412 413\n",
      " 414 415 416 417 418 419 420 421 422 423 424 425 426 427 428 429 430 431\n",
      " 432 433 434 435 436 437 438 439 440 441 442 443 444 445 446 447 448 449\n",
      " 450 451 452 453 454 455 456 457 458 459 460 461 462 463 464 465 466 467\n",
      " 468 469 470 471 472 473 474 475 476 477 478 479 480 481 482 483 484 485\n",
      " 486 487 488 489 490 491 492 493 494 495 496 497 498 499 500 501 502 503\n",
      " 504 505 506 507 508 509 510 511 512 513 514 515 516 517 518 519 520 521\n",
      " 522 523 524 525 526 527 528 529 530 531 532 533 534 535 536 537 538 539\n",
      " 540 541 542 543 544 545 546 547 548 549 550 551 552 553 554 555 556 557\n",
      " 558 559 560 561 562 563 564 566 567 568 570 572 576 580 581 585 597 598\n",
      " 599 600 601 602 604 605 606 607 608 609 610 611 612 613 615 616 617 618\n",
      " 619 620 621 622 623 624 625 626 627 628 629 630 631 632 633 634 635 636\n",
      " 637 639 640 641 642 643 645 646 647 649 650 651 653 654 655 656 657 658\n",
      " 659 660 661 662 663 664 665 666 667 668 669 670 671 672 673 674 675 676\n",
      " 677 678 679 680 681 682 683 684 685 686 687 688 689 690 691 692 693 694\n",
      " 695 696 697 698 699 700 701 702 703 704 705 707 708 709 710 711 712 713\n",
      " 714 715 716 718 719 720 722 723 726 728 729 731 732 733 734 736 737 740\n",
      " 741 742 744 745 746 747 748 749 750 751 752 753 754 755 756 758 759 760\n",
      " 761 762 763 764 765 766 767 768 769 770 771 772 773 774 775 776 777 778\n",
      " 779 780 781 782 783 784 785 790 792 800 807 811 814 816 819 824 828 829\n",
      " 831 843 848 849 852 853 854 855 856 857 858 859 860 861 862 863 864 865\n",
      " 866 867 868 869 870 871 872 873 874 875 876 877 878 879 880 881 882 883\n",
      " 884 885 886 887 888 889 890 891 892 893 894 895 896 897 898 899 900 901\n",
      " 902 903 904 905 906 907 908 909 910 911 912 913 914 915 916 917 918 919] \n",
      "TEST: [565 569 571 573 574 575 577 578 579 582 583 584 586 587 588 589 590 591\n",
      " 592 593 594 595 596 603 614 638 644 648 652 706 717 721 724 725 727 730\n",
      " 735 738 739 743 757 786 787 788 789 791 793 794 795 796 797 798 799 801\n",
      " 802 803 804 805 806 808 809 810 812 813 815 817 818 820 821 822 823 825\n",
      " 826 827 830 832 833 834 835 836 837 838 839 840 841 842 844 845 846 847\n",
      " 850 851]\n",
      "[Fold 10/10]\n",
      "TRAIN: [  0   1   2   3   4   5   6   7   8   9  10  11  12  13  14  15  16  17\n",
      "  18  19  20  21  22  23  24  25  26  27  28  29  30  31  32  33  34  35\n",
      "  36  37  38  39  40  41  42  43  44  45  46  47  48  49  50  51  52  53\n",
      "  54  55  56  57  58  59  60  61  62  63  64  65  66  67  68  69  70  71\n",
      "  72  73  74  75  76  77  78  79  80  81  82  83  84  85  86  87  88  89\n",
      "  90  91  92  93  94  95  96  97  98  99 100 101 102 103 104 105 106 107\n",
      " 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125\n",
      " 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143\n",
      " 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161\n",
      " 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179\n",
      " 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197\n",
      " 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215\n",
      " 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233\n",
      " 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251\n",
      " 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269\n",
      " 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287\n",
      " 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305\n",
      " 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323\n",
      " 324 325 326 327 328 329 330 331 332 333 334 335 336 337 338 339 340 341\n",
      " 342 343 344 345 346 347 348 349 350 351 352 353 354 355 356 357 358 359\n",
      " 360 361 362 363 364 365 366 367 368 369 370 371 372 373 374 375 376 377\n",
      " 378 379 380 381 382 383 384 385 386 387 388 389 390 391 392 393 394 395\n",
      " 396 397 398 399 400 401 402 403 404 405 406 407 408 409 410 411 412 413\n",
      " 414 415 416 417 418 419 420 421 422 423 424 425 426 427 428 429 430 431\n",
      " 432 433 434 435 436 437 438 439 440 441 442 443 444 445 446 447 448 449\n",
      " 450 451 452 453 454 455 456 457 458 459 460 461 462 463 464 465 466 467\n",
      " 468 469 470 471 472 473 474 475 476 477 478 479 480 481 482 483 484 485\n",
      " 486 487 488 489 490 491 492 493 494 495 496 497 498 499 500 501 502 503\n",
      " 504 505 506 507 508 509 510 511 512 513 514 515 516 517 518 519 520 521\n",
      " 522 523 524 525 526 527 528 529 530 531 532 533 534 535 536 537 538 539\n",
      " 540 541 542 543 544 545 546 547 548 549 550 551 552 553 554 555 556 557\n",
      " 558 559 560 561 562 563 564 565 566 567 568 569 570 571 572 573 574 575\n",
      " 576 577 578 579 580 581 582 583 584 585 586 587 588 589 590 591 592 593\n",
      " 594 595 596 597 598 599 600 601 602 603 604 605 606 607 608 609 610 611\n",
      " 612 613 614 615 616 617 618 619 620 621 622 623 624 625 626 627 628 629\n",
      " 630 631 632 633 634 635 636 637 638 639 640 641 642 643 644 645 646 647\n",
      " 648 649 650 651 652 653 654 655 656 657 658 659 660 661 662 663 664 665\n",
      " 666 667 668 669 670 671 672 673 674 675 676 677 678 679 680 681 682 683\n",
      " 684 685 686 687 688 689 690 691 692 693 694 695 696 697 698 699 700 701\n",
      " 702 703 704 705 706 707 708 709 710 711 712 713 714 715 716 717 718 719\n",
      " 720 721 722 723 724 725 726 727 728 729 730 731 732 733 734 735 736 737\n",
      " 738 739 740 741 742 743 744 745 746 747 748 749 750 751 752 753 754 755\n",
      " 756 757 758 760 761 762 764 765 766 768 770 772 774 775 776 777 779 781\n",
      " 782 783 784 785 786 787 788 789 791 793 794 795 796 797 798 799 801 802\n",
      " 803 804 805 806 808 809 810 812 813 815 817 818 820 821 822 823 825 826\n",
      " 827 830 832 833 834 835 836 837 838 839 840 841 842 844 845 846 847 850\n",
      " 851] \n",
      "TEST: [759 763 767 769 771 773 778 780 790 792 800 807 811 814 816 819 824 828\n",
      " 829 831 843 848 849 852 853 854 855 856 857 858 859 860 861 862 863 864\n",
      " 865 866 867 868 869 870 871 872 873 874 875 876 877 878 879 880 881 882\n",
      " 883 884 885 886 887 888 889 890 891 892 893 894 895 896 897 898 899 900\n",
      " 901 902 903 904 905 906 907 908 909 910 911 912 913 914 915 916 917 918\n",
      " 919]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f96bcf9e198>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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>AUC Mean</th>\n",
       "      <th>std</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Random Forest</th>\n",
       "      <td>0.864827</td>\n",
       "      <td>0.060041</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Extremely Randomized Trees</th>\n",
       "      <td>0.865834</td>\n",
       "      <td>0.057929</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Bagging Decision Tree</th>\n",
       "      <td>0.864014</td>\n",
       "      <td>0.057016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Decision Tree</th>\n",
       "      <td>0.853224</td>\n",
       "      <td>0.060864</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                            AUC Mean       std\n",
       "Random Forest               0.864827  0.060041\n",
       "Extremely Randomized Trees  0.865834  0.057929\n",
       "Bagging Decision Tree       0.864014  0.057016\n",
       "Decision Tree               0.853224  0.060864"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "##--------------------------------------------- TREE-BASED METHODS --------------------------------------------- \n",
    "import numpy as np\n",
    "from scipy import interp\n",
    "import matplotlib.pyplot as plt\n",
    "from itertools import cycle\n",
    "\n",
    "from sklearn import svm, datasets\n",
    "from sklearn.metrics import roc_curve, auc\n",
    "from sklearn.model_selection import StratifiedKFold\n",
    "\n",
    "models = [\n",
    "    \n",
    "    \n",
    "    {\n",
    "        'label' : 'Random Forest',\n",
    "        'model': model_RandomForest,\n",
    "        'color': '#d95f02',\n",
    "        'linestyle': 'solid', \n",
    "        'markers': '',\n",
    "         \n",
    "    },\n",
    "    {\n",
    "        'label' : 'Extremely Randomized Trees',\n",
    "        'model': model_extraTrees,\n",
    "        'color': '#7570b3',\n",
    "        'linestyle': 'dashed',\n",
    "        'markers': ',',\n",
    "    },\n",
    "    {\n",
    "        'label' : 'Bagging Decision Tree',\n",
    "        'model': bagged_DT_model, \n",
    "        'color': '#e7298a',\n",
    "        'linestyle': '-.',\n",
    "        'markers': ''\n",
    "    },\n",
    "    {\n",
    "        'label' : 'Decision Tree',\n",
    "        'model': model_Decision_Tree, \n",
    "        'color': '#1b9e77',\n",
    "        'linestyle': '-.',\n",
    "        'markers': ''\n",
    "    },\n",
    "    \n",
    "\n",
    "]\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "# #############################################################################\n",
    "# Classification and ROC analysis\n",
    "\n",
    "\n",
    "\n",
    "tprs = []\n",
    "aucs = []\n",
    "mean_fpr = np.linspace(0, 1, 100)\n",
    "\n",
    "aucs_mean = []\n",
    "labels = []\n",
    "std_mean = []\n",
    "\n",
    "\n",
    "   \n",
    "\n",
    "\n",
    "plt.figure(figsize=(12,12))\n",
    "for m in models:\n",
    "    i = 0\n",
    "    for i,(train_index, test_index) in enumerate(cv.split(X, y)):\n",
    "        \n",
    "        print('[Fold %d/%d]' % (i + 1, splits))\n",
    "        print(\"TRAIN:\", train_index, \"\\nTEST:\", test_index)\n",
    "        train_X = X.iloc[train_index]\n",
    "        train_y = y.iloc[train_index]\n",
    "        test_X = X.iloc[test_index]\n",
    "        test_y = y.iloc[test_index]\n",
    "        probas_ = m['model'].fit(train_X, train_y).predict_proba(test_X)\n",
    "        \n",
    "        # Compute ROC curve and area the curve\n",
    "        fpr, tpr, thresholds = roc_curve(test_y, probas_[:, 1])\n",
    "        tprs.append(interp(mean_fpr, fpr, tpr))\n",
    "        tprs[-1][0] = 0.0\n",
    "        roc_auc = auc(fpr, tpr)\n",
    "        aucs.append(roc_auc)\n",
    "        #plt.plot(fpr, tpr, lw=1, alpha=0.3,\n",
    "        #         label='ROC fold %d (AUC = %0.2f)' % (i, roc_auc))\n",
    "\n",
    "        i += 1\n",
    "    \n",
    "\n",
    "    mean_tpr = np.mean(tprs, axis=0)\n",
    "    mean_tpr[-1] = 1.0\n",
    "    mean_auc = auc(mean_fpr, mean_tpr)\n",
    "    std_auc = np.std(aucs)\n",
    "\n",
    "    plt.plot(mean_fpr, mean_tpr, color= m['color'], linestyle = m['linestyle'], marker= m['markers'],\n",
    "             label=r'[%s]  AUC = %0.5f $\\pm$ %0.4f ' % (m['label'] ,mean_auc, std_auc),\n",
    "             lw=2, alpha=.8)\n",
    "\n",
    "    aucs_mean.append(mean_auc)\n",
    "    std_mean.append(std_auc)\n",
    "    labels.append(m['label']) \n",
    "    \n",
    "\n",
    "\n",
    "\n",
    "    #plt.fill_between(mean_fpr, tprs_lower, tprs_upper, color='grey', alpha=.2,\n",
    "                    # label=r'$\\pm$ 1 std. dev.')\n",
    "    \n",
    "    plt.xlim([-0.05, 1.05])\n",
    "    plt.ylim([-0.05, 1.05])\n",
    "    plt.xlabel('False Positive Rate')\n",
    "    plt.ylabel('True Positive Rate')\n",
    "    plt.title('Receiver Operating Characteristic (ROC)')\n",
    "    plt.legend(loc=\"lower right\")\n",
    "plt.plot([0, 1], [0, 1], linestyle='--', lw=2, color='r',\n",
    "             label='Luck', alpha=.8)\n",
    "plt.show()\n",
    "AUCs=pd.DataFrame({'AUC Mean':aucs_mean, 'std':std_mean },index = labels)       \n",
    "AUCs\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
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    {
     "data": {
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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f96bcddb550>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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>AUC Mean</th>\n",
       "      <th>std</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>RBF-SVM</th>\n",
       "      <td>0.878462</td>\n",
       "      <td>0.056310</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Linear-SVM</th>\n",
       "      <td>0.876589</td>\n",
       "      <td>0.055048</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>K-NN</th>\n",
       "      <td>0.873045</td>\n",
       "      <td>0.057570</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Logistic Regression</th>\n",
       "      <td>0.873924</td>\n",
       "      <td>0.056316</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Decision Tree</th>\n",
       "      <td>0.871214</td>\n",
       "      <td>0.056316</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                     AUC Mean       std\n",
       "RBF-SVM              0.878462  0.056310\n",
       "Linear-SVM           0.876589  0.055048\n",
       "K-NN                 0.873045  0.057570\n",
       "Logistic Regression  0.873924  0.056316\n",
       "Decision Tree        0.871214  0.056316"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "##--------------------------------------------- BAGGING-BASED METHODS --------------------------------------------- \n",
    "import numpy as np\n",
    "from scipy import interp\n",
    "import matplotlib.pyplot as plt\n",
    "from itertools import cycle\n",
    "\n",
    "from sklearn import svm, datasets\n",
    "from sklearn.metrics import roc_curve, auc\n",
    "from sklearn.model_selection import StratifiedKFold\n",
    "from sklearn.ensemble import BaggingClassifier\n",
    "\n",
    "\n",
    "models = [\n",
    "    {\n",
    "        'label' : 'RBF-SVM',\n",
    "        'model': bagged_SVM_RBF_model,\n",
    "        'color': '#1b9e77',\n",
    "        'linestyle': 'solid', \n",
    "        'markers': 'H',\n",
    "         \n",
    "    },\n",
    "    {\n",
    "        'label' : 'Linear-SVM',\n",
    "        'model': bagged_SVM_Linear_model,\n",
    "        'color': '#d95f02',\n",
    "        'linestyle': 'dashed',\n",
    "        'markers': ',',\n",
    "    },\n",
    "    {\n",
    "        'label' : 'K-NN',\n",
    "        'model': bagged_model_KNN, \n",
    "        'color': '#8da0cb',\n",
    "        'linestyle': 'dashdot',\n",
    "        'markers': '',\n",
    "    },    \n",
    "    \n",
    "    {\n",
    "        'label' : 'Logistic Regression',\n",
    "        'model': bagged_Logistic_Regression_model,\n",
    "        'color': '#e7298a',\n",
    "        'linestyle': '-',\n",
    "        'markers': ''\n",
    " \n",
    "    },\n",
    "    {\n",
    "        'label' : 'Decision Tree',\n",
    "        'model': bagged_DT_model, \n",
    "        'color': '#66a61e',\n",
    "        'linestyle': '-.',\n",
    "        'markers': ''\n",
    "    },\n",
    "\n",
    "]\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "# #############################################################################\n",
    "# Classification and ROC analysis\n",
    "\n",
    "\n",
    "\n",
    "tprs = []\n",
    "aucs = []\n",
    "mean_fpr = np.linspace(0, 1, 100)\n",
    "\n",
    "aucs_mean = []\n",
    "labels = []\n",
    "std_mean = []\n",
    "\n",
    "\n",
    "   \n",
    "\n",
    "\n",
    "plt.figure(figsize=(12,12))\n",
    "for m in models:\n",
    "    i = 0\n",
    "    for i,(train_index, test_index) in enumerate(cv.split(X, y)):\n",
    "        \n",
    "        print('[Fold %d/%d]' % (i + 1, splits))\n",
    "        #print(\"TRAIN:\", train_index, \"\\nTEST:\", test_index)\n",
    "        train_X = X.iloc[train_index]\n",
    "        train_y = y.iloc[train_index]\n",
    "        test_X = X.iloc[test_index]\n",
    "        test_y = y.iloc[test_index]\n",
    "        probas_ = m['model'].fit(train_X, train_y).predict_proba(test_X)\n",
    "        \n",
    "        # Compute ROC curve and area the curve\n",
    "        fpr, tpr, thresholds = roc_curve(test_y, probas_[:, 1])\n",
    "        tprs.append(interp(mean_fpr, fpr, tpr))\n",
    "        tprs[-1][0] = 0.0\n",
    "        roc_auc = auc(fpr, tpr)\n",
    "        aucs.append(roc_auc)\n",
    "        #plt.plot(fpr, tpr, lw=1, alpha=0.3,\n",
    "        #         label='ROC fold %d (AUC = %0.2f)' % (i, roc_auc))\n",
    "\n",
    "        i += 1\n",
    "    \n",
    "\n",
    "    mean_tpr = np.mean(tprs, axis=0)\n",
    "    mean_tpr[-1] = 1.0\n",
    "    mean_auc = auc(mean_fpr, mean_tpr)\n",
    "    std_auc = np.std(aucs)\n",
    "\n",
    "    plt.plot(mean_fpr, mean_tpr, color= m['color'], linestyle = m['linestyle'], marker= m['markers'],\n",
    "             label=r'[%s]  AUC = %0.5f $\\pm$ %0.4f ' % (m['label'] ,mean_auc, std_auc),\n",
    "             lw=2, alpha=.8)\n",
    "\n",
    "    aucs_mean.append(mean_auc)\n",
    "    std_mean.append(std_auc)\n",
    "    labels.append(m['label']) \n",
    "    \n",
    "\n",
    "\n",
    "\n",
    "    #plt.fill_between(mean_fpr, tprs_lower, tprs_upper, color='grey', alpha=.2,\n",
    "                    # label=r'$\\pm$ 1 std. dev.')\n",
    "    \n",
    "    plt.xlim([-0.05, 1.05])\n",
    "    plt.ylim([-0.05, 1.05])\n",
    "    plt.xlabel('False Positive Rate')\n",
    "    plt.ylabel('True Positive Rate')\n",
    "    plt.title('Receiver Operating Characteristic (ROC)')\n",
    "    plt.legend(loc=\"lower right\")\n",
    "plt.plot([0, 1], [0, 1], linestyle='--', lw=2, color='r',\n",
    "             label='Luck', alpha=.8)\n",
    "plt.show()\n",
    "AUCs=pd.DataFrame({'AUC Mean':aucs_mean, 'std':std_mean },index = labels)       \n",
    "AUCs\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
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      "[Fold 1/10]\n",
      "[Fold 2/10]\n",
      "[Fold 3/10]\n",
      "[Fold 4/10]\n",
      "[Fold 5/10]\n",
      "[Fold 6/10]\n",
      "[Fold 7/10]\n",
      "[Fold 8/10]\n",
      "[Fold 9/10]\n",
      "[Fold 10/10]\n",
      "[Fold 1/10]\n",
      "[Fold 2/10]\n",
      "[Fold 3/10]\n",
      "[Fold 4/10]\n",
      "[Fold 5/10]\n",
      "[Fold 6/10]\n",
      "[Fold 7/10]\n",
      "[Fold 8/10]\n",
      "[Fold 9/10]\n",
      "[Fold 10/10]\n",
      "[Fold 1/10]\n",
      "[Fold 2/10]\n",
      "[Fold 3/10]\n",
      "[Fold 4/10]\n",
      "[Fold 5/10]\n",
      "[Fold 6/10]\n",
      "[Fold 7/10]\n",
      "[Fold 8/10]\n",
      "[Fold 9/10]\n",
      "[Fold 10/10]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f96bce7ecf8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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>AUC Mean</th>\n",
       "      <th>std</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>AdaBoost - DT</th>\n",
       "      <td>0.862501</td>\n",
       "      <td>0.054032</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AdaBoost - LR</th>\n",
       "      <td>0.868022</td>\n",
       "      <td>0.053449</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Gradient Tree Boosting</th>\n",
       "      <td>0.870521</td>\n",
       "      <td>0.054945</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>XGBoosting</th>\n",
       "      <td>0.870326</td>\n",
       "      <td>0.056177</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Voting Classifier</th>\n",
       "      <td>0.870893</td>\n",
       "      <td>0.055781</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                        AUC Mean       std\n",
       "AdaBoost - DT           0.862501  0.054032\n",
       "AdaBoost - LR           0.868022  0.053449\n",
       "Gradient Tree Boosting  0.870521  0.054945\n",
       "XGBoosting              0.870326  0.056177\n",
       "Voting Classifier       0.870893  0.055781"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "##--------------------------------------------- BOOSTING-BASED METHODS --------------------------------------------- \n",
    "import numpy as np\n",
    "from scipy import interp\n",
    "import matplotlib.pyplot as plt\n",
    "from itertools import cycle\n",
    "\n",
    "from sklearn import svm, datasets\n",
    "from sklearn.metrics import roc_curve, auc\n",
    "from sklearn.model_selection import StratifiedKFold\n",
    "\n",
    "#'aqua', 'darkorange', 'cornflowerblue'\n",
    "models = [\n",
    "    {\n",
    "        'label' : 'AdaBoost - DT',\n",
    "        'model': AdaBoost_DT_model,\n",
    "        'color': '#e41a1c',\n",
    "        'linestyle': 'solid', \n",
    "        'markers': '',\n",
    "         \n",
    "    },\n",
    "    {\n",
    "        'label' : 'AdaBoost - LR',\n",
    "        'model': AdaBoost_Logistic_Regression_model,\n",
    "        'color': '#377eb8',\n",
    "        'linestyle': 'dashed',\n",
    "        'markers': ',',\n",
    "    },\n",
    "    {\n",
    "        'label' : 'Gradient Tree Boosting',\n",
    "        'model': grad_boosting_model, \n",
    "        'color': '#4daf4a',\n",
    "        'linestyle': 'dashdot',\n",
    "        'markers': '',\n",
    "    },    \n",
    "    \n",
    "    {\n",
    "        'label' : 'XGBoosting',\n",
    "        'model': XGB_clf,\n",
    "        'color': '#984ea3',\n",
    "        'linestyle': '-',\n",
    "        'markers': ''\n",
    " \n",
    "    },\n",
    "    {\n",
    "        'label' : 'Voting Classifier',\n",
    "        'model': ensemble_lin_rbf, \n",
    "        'color': '#ff7f00',\n",
    "        'linestyle': '-.',\n",
    "        'markers': ''\n",
    "    },\n",
    "\n",
    "]\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "# #############################################################################\n",
    "# Classification and ROC analysis\n",
    "\n",
    "\n",
    "\n",
    "tprs = []\n",
    "aucs = []\n",
    "mean_fpr = np.linspace(0, 1, 100)\n",
    "\n",
    "aucs_mean = []\n",
    "labels = []\n",
    "std_mean = []\n",
    "\n",
    "\n",
    "   \n",
    "\n",
    "\n",
    "plt.figure(figsize=(12,12))\n",
    "for m in models:\n",
    "    i = 0\n",
    "    for i,(train_index, test_index) in enumerate(cv.split(X, y)):\n",
    "        \n",
    "        print('[Fold %d/%d]' % (i + 1, splits))\n",
    "        #print(\"TRAIN:\", train_index, \"\\nTEST:\", test_index)\n",
    "        train_X = X.iloc[train_index]\n",
    "        train_y = y.iloc[train_index]\n",
    "        test_X = X.iloc[test_index]\n",
    "        test_y = y.iloc[test_index]\n",
    "        probas_ = m['model'].fit(train_X, train_y).predict_proba(test_X)\n",
    "        \n",
    "        # Compute ROC curve and area the curve\n",
    "        fpr, tpr, thresholds = roc_curve(test_y, probas_[:, 1])\n",
    "        tprs.append(interp(mean_fpr, fpr, tpr))\n",
    "        tprs[-1][0] = 0.0\n",
    "        roc_auc = auc(fpr, tpr)\n",
    "        aucs.append(roc_auc)\n",
    "        #plt.plot(fpr, tpr, lw=1, alpha=0.3,\n",
    "        #         label='ROC fold %d (AUC = %0.2f)' % (i, roc_auc))\n",
    "\n",
    "        i += 1\n",
    "    \n",
    "\n",
    "    mean_tpr = np.mean(tprs, axis=0)\n",
    "    mean_tpr[-1] = 1.0\n",
    "    mean_auc = auc(mean_fpr, mean_tpr)\n",
    "    std_auc = np.std(aucs)\n",
    "\n",
    "    plt.plot(mean_fpr, mean_tpr, color= m['color'], linestyle = m['linestyle'], marker= m['markers'],\n",
    "             label=r'[%s]  AUC = %0.5f $\\pm$ %0.4f ' % (m['label'] ,mean_auc, std_auc),\n",
    "             lw=2, alpha=.8)\n",
    "\n",
    "    aucs_mean.append(mean_auc)\n",
    "    std_mean.append(std_auc)\n",
    "    labels.append(m['label']) \n",
    "    \n",
    "\n",
    "\n",
    "\n",
    "    #plt.fill_between(mean_fpr, tprs_lower, tprs_upper, color='grey', alpha=.2,\n",
    "                    # label=r'$\\pm$ 1 std. dev.')\n",
    "    \n",
    "    plt.xlim([-0.05, 1.05])\n",
    "    plt.ylim([-0.05, 1.05])\n",
    "    plt.xlabel('False Positive Rate')\n",
    "    plt.ylabel('True Positive Rate')\n",
    "    plt.title('Receiver Operating Characteristic (ROC)')\n",
    "    plt.legend(loc=\"lower right\")\n",
    "plt.plot([0, 1], [0, 1], linestyle='--', lw=2, color='r',\n",
    "             label='Luck', alpha=.8)\n",
    "plt.show()\n",
    "AUCs=pd.DataFrame({'AUC Mean':aucs_mean, 'std':std_mean },index = labels)       \n",
    "AUCs\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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