1 - Dense Classifier.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Dense Classifier"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Using TensorFlow backend.\n"
     ]
    }
   ],
   "source": [
    "# data analysis pkg\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "# Word vectorization\n",
    "from sklearn.model_selection import train_test_split\n",
    "from keras.preprocessing.text import Tokenizer\n",
    "from keras.preprocessing.sequence import pad_sequences\n",
    "\n",
    "\n",
    "# Building sequential model\n",
    "from keras.models import Sequential\n",
    "from keras.layers import Embedding, Dense, Dropout, Flatten\n",
    "from keras.callbacks import ModelCheckpoint\n",
    "\n",
    "# import metrics\n",
    "from sklearn.metrics import roc_auc_score, f1_score, accuracy_score, recall_score\n",
    "\n",
    "\n",
    "# Avoiding warnings\n",
    "import warnings\n",
    "import os\n",
    "########### Prevent Warnings ###########\n",
    "warnings.filterwarnings(action='ignore')\n",
    "########### Prevent Warnings ###########"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Read data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.read_csv('data/cleaned/data.csv')\n",
    "df.title = df.title.astype('str')\n",
    "df.text = df.text.astype('str')\n",
    "df.comment = df.comment.astype('str')\n",
    "df.rate = df.rate.astype('category')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Setting features and Splitting dataset "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "# features = df.columns.tolist()[:-1]\n",
    "features = ['text']\n",
    "label = ['verification_status']\n",
    "\n",
    "X_train, X_test, Y_train, Y_test = train_test_split(df[features], df[label], test_size=0.3)\n",
    "\n",
    "X_train = [text for text in X_train.text]\n",
    "Y_train = [label for label in Y_train.verification_status]\n",
    "\n",
    "X_test = [text for text in X_test.text]\n",
    "Y_test = [label for label in Y_test.verification_status]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Set hypermeter"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "output_dir='model_output/dense'\n",
    "\n",
    "epochs = 4\n",
    "batch_size = 128\n",
    "\n",
    "n_dim = 64\n",
    "n_unique_words = 5000\n",
    "max_text_length = 150\n",
    "pad_type = trunc_type = 'pre'\n",
    "\n",
    "n_dense = 64\n",
    "dropout = 0.5"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Tokenizing and convert text to sequences"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "tok = Tokenizer(num_words=n_unique_words, lower=False)\n",
    "tok.fit_on_texts(X_train)\n",
    "\n",
    "train_sequences = tok.texts_to_sequences(X_train)\n",
    "train_sequences_matrix = pad_sequences(train_sequences, maxlen=n_unique_words)\n",
    "\n",
    "\n",
    "test_sequences = tok.texts_to_sequences(X_test)\n",
    "test_sequences_matrix = pad_sequences(test_sequences, maxlen=n_unique_words)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 80,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(125369, 150)"
      ]
     },
     "execution_count": 80,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train_sequences_matrix.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 104,
   "metadata": {
    "collapsed": true
   },
   "outputs": [
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       "  171,\n",
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       "  587,\n",
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       "  2487,\n",
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       "  95,\n",
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       "  178,\n",
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       "  5951,\n",
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       "  4487,\n",
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       "  37036,\n",
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       "  142,\n",
       "  904,\n",
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       "  2,\n",
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       " [32, 886, 45, 19, 22, 398, 1744, 144, 240, 26514, 424, 1203, 240, 133],\n",
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       "  28,\n",
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       "  337,\n",
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       "  10,\n",
       "  988,\n",
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       "  1506,\n",
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       "  264,\n",
       "  71,\n",
       "  41,\n",
       "  121,\n",
       "  141,\n",
       "  16,\n",
       "  358,\n",
       "  25],\n",
       " [3, 9618, 691, 206, 71, 358, 25, 342, 53, 5, 27, 3],\n",
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       "  297,\n",
       "  10,\n",
       "  6201,\n",
       "  5,\n",
       "  816,\n",
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       "  107,\n",
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       "  26515,\n",
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       "  3,\n",
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       "  345,\n",
       "  37045,\n",
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       "  3493,\n",
       "  5612,\n",
       "  3,\n",
       "  29,\n",
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       "  622,\n",
       "  37046,\n",
       "  3,\n",
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       "  50,\n",
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       "  12,\n",
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       "  14,\n",
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       "  46,\n",
       "  15,\n",
       "  355,\n",
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       "  138,\n",
       "  1092,\n",
       "  251,\n",
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       "  138,\n",
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       "  86,\n",
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       "  76,\n",
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       "  850,\n",
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       "  119,\n",
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       "  251,\n",
       "  12,\n",
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       "  339,\n",
       "  1688,\n",
       "  91,\n",
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       " [139, 6070, 277, 1463, 643, 45, 1191, 1130, 6350, 18, 16],\n",
       " [6, 19, 6, 199],\n",
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       "  26516,\n",
       "  6202,\n",
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       "  26516,\n",
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       "  998,\n",
       "  1443,\n",
       "  182],\n",
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       "  1274,\n",
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       "  16,\n",
       "  156,\n",
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       "  32,\n",
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       "  571,\n",
       "  1657,\n",
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       "  4428,\n",
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       "  213,\n",
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       "  885,\n",
       "  635,\n",
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       "  2,\n",
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       "  13636,\n",
       "  9622,\n",
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       "  70,\n",
       "  3,\n",
       "  35,\n",
       "  13,\n",
       "  2,\n",
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       "  502,\n",
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       "  1013],\n",
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       "  78,\n",
       "  10,\n",
       "  131,\n",
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       "  14,\n",
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       "  2931,\n",
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       "  2150,\n",
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       "  125,\n",
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       "  21581,\n",
       "  3280,\n",
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       "  86,\n",
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       "  56,\n",
       "  33,\n",
       "  1179,\n",
       "  634,\n",
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       "  751,\n",
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       "  1195,\n",
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       "  196,\n",
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       "  336,\n",
       "  4844,\n",
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       "  15,\n",
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       "  8565,\n",
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       "  15,\n",
       "  8884,\n",
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       "  21586,\n",
       "  3452,\n",
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       "  37060,\n",
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       "  13,\n",
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       "  21587,\n",
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       "  212,\n",
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       "  26521,\n",
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       "  3391,\n",
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       "  4426],\n",
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       "  328,\n",
       "  98,\n",
       "  30,\n",
       "  1024,\n",
       "  31,\n",
       "  24,\n",
       "  531,\n",
       "  192,\n",
       "  193,\n",
       "  14,\n",
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       "  85,\n",
       "  16421,\n",
       "  123,\n",
       "  365,\n",
       "  135,\n",
       "  85,\n",
       "  16421,\n",
       "  11,\n",
       "  18,\n",
       "  16,\n",
       "  1031,\n",
       "  1923,\n",
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       "  135,\n",
       "  502,\n",
       "  85,\n",
       "  16422,\n",
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       "  124,\n",
       "  357,\n",
       "  39,\n",
       "  172,\n",
       "  1743,\n",
       "  1596,\n",
       "  33,\n",
       "  2004,\n",
       "  3654,\n",
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       "  2004,\n",
       "  3778,\n",
       "  50,\n",
       "  29,\n",
       "  220,\n",
       "  2959,\n",
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       "  781,\n",
       "  1596,\n",
       "  8566,\n",
       "  1292,\n",
       "  7792,\n",
       "  37066,\n",
       "  7792,\n",
       "  26522,\n",
       "  1532,\n",
       "  18,\n",
       "  16,\n",
       "  293,\n",
       "  1231,\n",
       "  133,\n",
       "  215,\n",
       "  11838],\n",
       " [84, 9222, 127, 479, 5827, 1579, 37067, 1430, 4, 21, 26],\n",
       " [1649, 1302, 9, 40, 36, 5, 17, 163, 2058, 161, 17, 49, 164, 2984, 3575],\n",
       " [6, 123, 695, 19, 1, 20, 2932, 19, 788, 1173, 1795],\n",
       " [427, 271, 401, 795, 427, 349, 1721],\n",
       " [282, 66, 2383, 7793, 284, 177, 18, 190, 352],\n",
       " [2059, 1243, 2059, 1243],\n",
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       "  66,\n",
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       "  26,\n",
       "  4979,\n",
       "  14,\n",
       "  3,\n",
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       "  16423,\n",
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       "  27,\n",
       "  3,\n",
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       "  10,\n",
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       "  36,\n",
       "  241,\n",
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       "  30,\n",
       "  36,\n",
       "  14,\n",
       "  42,\n",
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       "  90,\n",
       "  173,\n",
       "  21589],\n",
       " [971, 5431, 4845, 824, 86, 21, 2444],\n",
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       "  518,\n",
       "  135,\n",
       "  3606,\n",
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       "  144,\n",
       "  236,\n",
       "  6352,\n",
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       "  3849,\n",
       "  3494,\n",
       "  5616,\n",
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       "  428,\n",
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       "  16,\n",
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       "  39,\n",
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       "  102,\n",
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       "  1130,\n",
       "  1121,\n",
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       "  24,\n",
       "  12639,\n",
       "  3850,\n",
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       "  2161,\n",
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       "  200,\n",
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       "  303,\n",
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       "  138,\n",
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       "  33,\n",
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       "  2,\n",
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       "  50,\n",
       "  11,\n",
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       "  2756,\n",
       "  121,\n",
       "  141,\n",
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       "  13,\n",
       "  176,\n",
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       "  86,\n",
       "  538,\n",
       "  30,\n",
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       "  26,\n",
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       "  45,\n",
       "  335,\n",
       "  155,\n",
       "  20,\n",
       "  1242,\n",
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       "  31,\n",
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       "  8,\n",
       "  1,\n",
       "  980,\n",
       "  8,\n",
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       "  1098,\n",
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       "  3059,\n",
       "  8886,\n",
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       "  37074,\n",
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       "  26525,\n",
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       "  5236,\n",
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       "  26526,\n",
       "  16424,\n",
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       "  37076,\n",
       "  37077,\n",
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       "  37078,\n",
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       "  37080,\n",
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       "  2138,\n",
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       "  26527,\n",
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       "  915,\n",
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       "  14881,\n",
       "  314,\n",
       "  26524,\n",
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       "  5828,\n",
       "  13642,\n",
       "  21],\n",
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       "  1751,\n",
       "  138,\n",
       "  24,\n",
       "  7151,\n",
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       "  183,\n",
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       "  27,\n",
       "  41,\n",
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       "  791,\n",
       "  22,\n",
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       "  5,\n",
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       "  1622,\n",
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       "  634,\n",
       "  5,\n",
       "  22,\n",
       "  24,\n",
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       "  10563,\n",
       "  37084,\n",
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       "  44,\n",
       "  132,\n",
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       "  212,\n",
       "  281,\n",
       "  322,\n",
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       "  10,\n",
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       "  33,\n",
       "  2272,\n",
       "  14882,\n",
       "  30,\n",
       "  251,\n",
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       "  1708,\n",
       "  40,\n",
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       "  5,\n",
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       "  16425,\n",
       "  817,\n",
       "  2328,\n",
       "  12,\n",
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       "  5432,\n",
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       "  49,\n",
       "  5617,\n",
       "  18460,\n",
       "  19,\n",
       "  731,\n",
       "  583,\n",
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       "  992,\n",
       "  935,\n",
       "  627,\n",
       "  1743,\n",
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       "  1864,\n",
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       "  13645,\n",
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       "  60,\n",
       "  1752,\n",
       "  2198,\n",
       "  2905,\n",
       "  1449,\n",
       "  6354,\n",
       "  1761,\n",
       "  989,\n",
       "  913,\n",
       "  628,\n",
       "  5432,\n",
       "  10071,\n",
       "  222,\n",
       "  3931,\n",
       "  13,\n",
       "  222,\n",
       "  583,\n",
       "  45,\n",
       "  109,\n",
       "  17,\n",
       "  6355,\n",
       "  10564,\n",
       "  18462,\n",
       "  50,\n",
       "  760,\n",
       "  21592,\n",
       "  1830,\n",
       "  1357,\n",
       "  294,\n",
       "  914,\n",
       "  9625,\n",
       "  386,\n",
       "  276,\n",
       "  1874,\n",
       "  37085,\n",
       "  1455,\n",
       "  500,\n",
       "  26530,\n",
       "  37,\n",
       "  153,\n",
       "  128,\n",
       "  1113,\n",
       "  29,\n",
       "  27,\n",
       "  147,\n",
       "  294,\n",
       "  2819,\n",
       "  1722,\n",
       "  1502,\n",
       "  1035,\n",
       "  62,\n",
       "  294,\n",
       "  147,\n",
       "  760],\n",
       " [261, 2316, 551, 261, 46, 6356, 845, 20, 45],\n",
       " [2047, 2047, 3891, 296, 2759, 754, 16426],\n",
       " [261, 304, 13646, 621],\n",
       " [677, 34, 14883, 539, 744, 909, 1097, 440, 272, 5, 91, 8272, 1468, 5333, 446],\n",
       " [32, 31, 389, 12, 528, 32, 471, 148, 4, 36, 82, 81],\n",
       " [261,\n",
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       "  3576,\n",
       "  1206,\n",
       "  329,\n",
       "  37086,\n",
       "  722,\n",
       "  5142,\n",
       "  283,\n",
       "  228,\n",
       "  1153,\n",
       "  1122,\n",
       "  2985,\n",
       "  1803,\n",
       "  241],\n",
       " [1098, 12, 1514, 11126, 1565, 58, 3392, 636],\n",
       " [8, 314, 3089, 37087, 2330, 41, 4490, 11, 111, 4, 11, 21, 78],\n",
       " [7, 99, 1185, 286, 7, 1185, 34, 99, 286, 286],\n",
       " [21593,\n",
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       "  68,\n",
       "  116,\n",
       "  594,\n",
       "  1001,\n",
       "  44,\n",
       "  8887,\n",
       "  1308,\n",
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       "  595,\n",
       "  14884,\n",
       "  239,\n",
       "  177,\n",
       "  4157,\n",
       "  26531,\n",
       "  62,\n",
       "  26532,\n",
       "  3932,\n",
       "  41,\n",
       "  8567,\n",
       "  21594,\n",
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       "  80,\n",
       "  167,\n",
       "  1204,\n",
       "  1210,\n",
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       "  585,\n",
       "  1269,\n",
       "  287,\n",
       "  5143,\n",
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       "  3282,\n",
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       "  742,\n",
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       "  5237,\n",
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       "  138,\n",
       "  1778,\n",
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       "  167,\n",
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       "  60,\n",
       "  44,\n",
       "  9627,\n",
       "  24,\n",
       "  595,\n",
       "  3110,\n",
       "  7346,\n",
       "  1297,\n",
       "  37088,\n",
       "  27,\n",
       "  1,\n",
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       "  60,\n",
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       "  171,\n",
       "  170,\n",
       "  7794,\n",
       "  37089,\n",
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       "  241,\n",
       "  6502,\n",
       "  255,\n",
       "  120,\n",
       "  1023,\n",
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       "  7347,\n",
       "  29,\n",
       "  8888,\n",
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       "  478,\n",
       "  4766,\n",
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       "  1645,\n",
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       "  122,\n",
       "  5951,\n",
       "  2471,\n",
       "  1001,\n",
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       "  1288,\n",
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       "  80,\n",
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       "  192,\n",
       "  79,\n",
       "  5],\n",
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       "  1527,\n",
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       "  458,\n",
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       "  523,\n",
       "  102,\n",
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       "  203,\n",
       "  8568,\n",
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       "  423,\n",
       "  4553,\n",
       "  210,\n",
       "  37090,\n",
       "  379,\n",
       "  8889,\n",
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       "  2298,\n",
       "  2885,\n",
       "  103,\n",
       "  385,\n",
       "  7,\n",
       "  37091,\n",
       "  2760,\n",
       "  1,\n",
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       "  2,\n",
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       "  2761,\n",
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       "  339,\n",
       "  60,\n",
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       "  124,\n",
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       "  80,\n",
       "  5,\n",
       "  124,\n",
       "  142,\n",
       "  15,\n",
       "  17,\n",
       "  4158,\n",
       "  361,\n",
       "  423,\n",
       "  18,\n",
       "  16,\n",
       "  59,\n",
       "  136,\n",
       "  680,\n",
       "  16427,\n",
       "  257,\n",
       "  1303,\n",
       "  950,\n",
       "  53,\n",
       "  13,\n",
       "  11839,\n",
       "  284,\n",
       "  177,\n",
       "  168,\n",
       "  184,\n",
       "  4159,\n",
       "  168,\n",
       "  1216,\n",
       "  40,\n",
       "  1477,\n",
       "  2123,\n",
       "  284,\n",
       "  168,\n",
       "  184],\n",
       " [8, 37, 15, 17, 11127, 3, 16, 18, 16, 11, 2139, 36, 42, 11840, 36, 5, 17],\n",
       " [6,\n",
       "  174,\n",
       "  1623,\n",
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       "  12644,\n",
       "  5,\n",
       "  933,\n",
       "  2183,\n",
       "  12644,\n",
       "  423,\n",
       "  64,\n",
       "  1075,\n",
       "  18464,\n",
       "  988,\n",
       "  2183,\n",
       "  5335,\n",
       "  123,\n",
       "  781,\n",
       "  988,\n",
       "  593,\n",
       "  346,\n",
       "  988,\n",
       "  37092,\n",
       "  21595,\n",
       "  608,\n",
       "  781,\n",
       "  988,\n",
       "  593,\n",
       "  2183,\n",
       "  7152,\n",
       "  174,\n",
       "  933,\n",
       "  9,\n",
       "  5,\n",
       "  1694,\n",
       "  366,\n",
       "  256,\n",
       "  1623,\n",
       "  772,\n",
       "  26,\n",
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       " [5, 1734],\n",
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       "  14,\n",
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       "  1189,\n",
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       "  34,\n",
       "  22,\n",
       "  25,\n",
       "  1,\n",
       "  3,\n",
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       "  18470,\n",
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       "  27,\n",
       "  2,\n",
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       "  20,\n",
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       "  322,\n",
       "  519,\n",
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       " [55, 68, 39, 26, 4, 692, 378, 26544, 64, 404, 160, 1488, 224, 260, 312, 243],\n",
       " [37111],\n",
       " [461, 93, 76, 24, 336, 277, 65],\n",
       " [156, 66, 110, 8, 1650, 34, 201, 186],\n",
       " [847,\n",
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       "  10,\n",
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       "  127,\n",
       "  1237,\n",
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       "  491,\n",
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       "  36,\n",
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       "  3,\n",
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       "  3144,\n",
       "  344,\n",
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       "  9,\n",
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       " [689, 5435, 689, 224, 7579],\n",
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       "  40,\n",
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       "  21623,\n",
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       "  14896],\n",
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       "  23,\n",
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       "  4157,\n",
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       "  5071,\n",
       "  9,\n",
       "  12643,\n",
       "  18,\n",
       "  16,\n",
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       "  10,\n",
       "  522,\n",
       "  669,\n",
       "  65,\n",
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       "  10571,\n",
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       "  5,\n",
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       "  24,\n",
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       "  40,\n",
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       "  509,\n",
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       "  254,\n",
       "  2063,\n",
       "  3337,\n",
       "  1329],\n",
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       "  144,\n",
       "  2232,\n",
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       "  21628,\n",
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       "  40,\n",
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       "  417,\n",
       "  3115,\n",
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       "  134,\n",
       "  8,\n",
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       "  18,\n",
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       "  1279,\n",
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       "  2758,\n",
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       "  70,\n",
       "  3856],\n",
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       "  1214,\n",
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       "  10080,\n",
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       "  415,\n",
       "  3455,\n",
       "  990,\n",
       "  4167,\n",
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       "  1330,\n",
       "  1546,\n",
       "  397,\n",
       "  1546,\n",
       "  3227,\n",
       "  740,\n",
       "  2042,\n",
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       " [4, 109, 17],\n",
       " [11855, 37186, 1, 3397, 73, 32, 390, 941, 12, 452, 14, 1, 15, 117],\n",
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       "  4561,\n",
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       "  1915,\n",
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       "  15,\n",
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       "  84,\n",
       "  26574,\n",
       "  26575,\n",
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       "  398,\n",
       "  3012,\n",
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       "  829,\n",
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       "  3338,\n",
       "  63,\n",
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       " [26, 1537, 5243, 37, 1184, 1040, 70, 610, 160, 7793, 372],\n",
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       "  75,\n",
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       "  12,\n",
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       "  18,\n",
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       "  566,\n",
       "  3,\n",
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       "  418,\n",
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       "  1190,\n",
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       "  2864,\n",
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       "  215,\n",
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       " [69, 1, 1828, 3227, 2383, 560, 7355, 447, 2569, 62],\n",
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       "  25,\n",
       "  38,\n",
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       "  1612,\n",
       "  10081,\n",
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       "  21,\n",
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       "  344,\n",
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       "  30,\n",
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       "  26577,\n",
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       "  2143,\n",
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       "  37197,\n",
       "  37198,\n",
       "  8897],\n",
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       "  620,\n",
       "  2022,\n",
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       "  138,\n",
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       "  1583,\n",
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       "  1583,\n",
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       "  4607,\n",
       "  295,\n",
       "  3169,\n",
       "  1409,\n",
       "  541,\n",
       "  62,\n",
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       "  11,\n",
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       "  2,\n",
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       "  4023,\n",
       "  2888,\n",
       "  92,\n",
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       "  421,\n",
       "  228,\n",
       "  1031,\n",
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       " [258, 305, 26586, 258, 1132, 5, 258, 12, 1299, 5, 17, 14, 1980, 1405, 15],\n",
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       "  647,\n",
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       "  237,\n",
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       "  436],\n",
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       "  352,\n",
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       "  2824,\n",
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       "  3980,\n",
       "  1506,\n",
       "  1444,\n",
       "  3820,\n",
       "  362],\n",
       " [28,\n",
       "  45,\n",
       "  38,\n",
       "  37228,\n",
       "  10,\n",
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       "  12,\n",
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       "  24,\n",
       "  37230,\n",
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       "  107,\n",
       "  3696,\n",
       "  353,\n",
       "  1928,\n",
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       "  1003,\n",
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       "  2,\n",
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       "  33,\n",
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       "  468,\n",
       "  4436,\n",
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       "  146,\n",
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       "  423,\n",
       "  60,\n",
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       "  25,\n",
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       "  4377,\n",
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       "  3982,\n",
       "  13670,\n",
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       "  1472,\n",
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       "  285,\n",
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       "  318,\n",
       "  6364,\n",
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       "  37256,\n",
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       "  52,\n",
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       "  53,\n",
       "  21646,\n",
       "  14,\n",
       "  136,\n",
       "  1839,\n",
       "  16462],\n",
       " [123, 1925, 828, 358, 11148, 507],\n",
       " [21, 56, 36, 131, 291, 306, 11, 295, 870, 6, 199, 27, 2, 777, 36, 487],\n",
       " [1125, 1098, 1264, 48, 1264, 1002, 2, 18505, 1125, 1098, 9649, 5155],\n",
       " [15,\n",
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       "  398,\n",
       "  1210,\n",
       "  11,\n",
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       "  681,\n",
       "  11,\n",
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       "  186,\n",
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       " [37265, 733, 787, 37266, 401, 929, 370, 281, 3976, 8590, 481, 119, 1524],\n",
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       "  5157,\n",
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       "  546,\n",
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       " [2041, 550, 87, 2041, 550, 105, 2842, 4],\n",
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       "  30,\n",
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       "  1003,\n",
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       "  10,\n",
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       "  17,\n",
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       "  2618,\n",
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       "  175,\n",
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       "  10,\n",
       "  2742,\n",
       "  4500,\n",
       "  10579,\n",
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       "  3,\n",
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       "  420,\n",
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       "  1003,\n",
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       "  253,\n",
       "  2528,\n",
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       "  242,\n",
       "  3289,\n",
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       "  2103,\n",
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       "  5,\n",
       "  78,\n",
       "  11152,\n",
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       "  481,\n",
       "  337,\n",
       "  5841,\n",
       "  16,\n",
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       "  475,\n",
       "  16,\n",
       "  13678,\n",
       "  473,\n",
       "  13,\n",
       "  2144,\n",
       "  226,\n",
       "  2688,\n",
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       "  102,\n",
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       "  920,\n",
       "  1205,\n",
       "  37282,\n",
       "  37283,\n",
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       "  222,\n",
       "  37284,\n",
       "  1867,\n",
       "  172,\n",
       "  37285,\n",
       "  8907],\n",
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       "  26,\n",
       "  8908,\n",
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       "  2252,\n",
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       "  18,\n",
       "  16],\n",
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       "  443,\n",
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       "  72,\n",
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       "  27,\n",
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       "  10581,\n",
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       "  47,\n",
       "  5629,\n",
       "  4705,\n",
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       "  144,\n",
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       "  15,\n",
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       "  632,\n",
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       "  203,\n",
       "  21657,\n",
       "  672,\n",
       "  39,\n",
       "  19,\n",
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       "  20,\n",
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       "  3,\n",
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       " [13, 126, 31, 370, 6, 147, 46, 763, 1314, 1435, 64, 84, 564, 3],\n",
       " [864, 84, 84],\n",
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       " [113, 13682, 932, 113, 687, 1437, 11, 345, 37297, 4],\n",
       " [15, 17, 37, 417, 11, 7363, 156, 66, 2334, 8],\n",
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       "  326,\n",
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       "  35,\n",
       "  20],\n",
       " [72, 90],\n",
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       "  1719],\n",
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       "  45,\n",
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       "  4781,\n",
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       "  14,\n",
       "  4073,\n",
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       "  576,\n",
       "  630,\n",
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       "  390,\n",
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       "  134,\n",
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       "  105,\n",
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       "  403,\n",
       "  32,\n",
       "  54,\n",
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       "  1297,\n",
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       "  352,\n",
       "  37,\n",
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       "  294,\n",
       "  335,\n",
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       "  2134,\n",
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       "  5438,\n",
       "  40,\n",
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       "  326,\n",
       "  1388,\n",
       "  60,\n",
       "  37299,\n",
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       "  46,\n",
       "  26609,\n",
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       " [58, 395, 175, 9, 5160, 151],\n",
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       " [19,\n",
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       "  2554,\n",
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       "  192,\n",
       "  844,\n",
       "  335,\n",
       "  1472,\n",
       "  6084,\n",
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       " [438, 26, 8],\n",
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       "  2250,\n",
       "  2201,\n",
       "  11872,\n",
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       "  15,\n",
       "  1924,\n",
       "  10,\n",
       "  2201,\n",
       "  8290,\n",
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       "  1080,\n",
       "  2,\n",
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       "  755,\n",
       "  593,\n",
       "  36,\n",
       "  18515,\n",
       "  1724,\n",
       "  1080,\n",
       "  37304,\n",
       "  194,\n",
       "  463,\n",
       "  94,\n",
       "  1069,\n",
       "  254,\n",
       "  1213,\n",
       "  669],\n",
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       "  44],\n",
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       "  467,\n",
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       "  381,\n",
       "  12676,\n",
       "  8914,\n",
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       "  536,\n",
       "  161,\n",
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       "  1234],\n",
       " [26, 8, 26, 8, 51, 955, 168, 850, 2549, 137, 11, 8, 110, 3783],\n",
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       "  569,\n",
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       " [137, 287, 152, 1980, 26, 378],\n",
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       " [687, 1, 738],\n",
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       "  10063,\n",
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       "  81,\n",
       "  31,\n",
       "  4441,\n",
       "  100,\n",
       "  362,\n",
       "  733,\n",
       "  2906,\n",
       "  8,\n",
       "  99,\n",
       "  34,\n",
       "  129,\n",
       "  4318,\n",
       "  1792,\n",
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       "  4318,\n",
       "  37325,\n",
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       "  286,\n",
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       "  18,\n",
       "  16,\n",
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       "  56,\n",
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       "  11,\n",
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       "  185,\n",
       "  202,\n",
       "  2,\n",
       "  164,\n",
       "  3,\n",
       "  131,\n",
       "  113,\n",
       "  11,\n",
       "  198,\n",
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       "  113,\n",
       "  142,\n",
       "  4859,\n",
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       "  114,\n",
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       "  114,\n",
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       "  22,\n",
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       "  1109,\n",
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       "  464,\n",
       "  130,\n",
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       "  26618,\n",
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       "  28,\n",
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       "  6,\n",
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       "  220,\n",
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       " [160, 124, 9, 102, 10586, 52, 229, 30, 1325, 2807],\n",
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       " [1, 1671, 9657, 173, 3113, 84, 501, 147, 108],\n",
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       "  165,\n",
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       "  20,\n",
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       "  372,\n",
       "  1607,\n",
       "  18521,\n",
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       "  4074,\n",
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       "  384,\n",
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       "  1813,\n",
       "  21669,\n",
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       "  21670,\n",
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       "  12,\n",
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       "  40,\n",
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       "  8006,\n",
       "  1900,\n",
       "  5,\n",
       "  45,\n",
       "  1719,\n",
       "  1672,\n",
       "  102,\n",
       "  257,\n",
       "  3,\n",
       "  1958,\n",
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       "  253,\n",
       "  21671,\n",
       "  1958,\n",
       "  2937,\n",
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       "  1958,\n",
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       "  12679,\n",
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       "  639,\n",
       "  30],\n",
       " [72, 726, 6663, 28, 72, 4119, 260, 24],\n",
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       "  11,\n",
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       "  22,\n",
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       "  2635,\n",
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       "  493,\n",
       "  30,\n",
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       "  96,\n",
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       "  114,\n",
       "  2152,\n",
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       "  263,\n",
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       " [504, 926, 39, 10, 480, 247, 761, 628, 86, 5974, 6826],\n",
       " [265, 410, 14, 21, 56],\n",
       " [612, 220, 13675, 5074, 95],\n",
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       "  171,\n",
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       "  10,\n",
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       "  11882,\n",
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       " [854, 854],\n",
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       " [72, 216, 894, 28, 169, 2984, 216, 435, 1399, 13, 212, 1424, 208, 15],\n",
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       "  4383,\n",
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       "  18,\n",
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       "  90,\n",
       "  3045,\n",
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       "  37,\n",
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       " [72, 60, 19, 76, 474, 6, 14, 8],\n",
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       "  654,\n",
       "  18,\n",
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       "  39,\n",
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       "  16,\n",
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       "  17,\n",
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       "  3619,\n",
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       "  193,\n",
       "  1874,\n",
       "  178,\n",
       "  13,\n",
       "  1357,\n",
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       " [224, 793, 1197, 1809, 20, 37347, 1570, 410],\n",
       " [4992,\n",
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       "  1443,\n",
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       "  3,\n",
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       "  1479,\n",
       "  10,\n",
       "  85,\n",
       "  29,\n",
       "  2542,\n",
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       " [15, 17],\n",
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       "  11883,\n",
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       "  1109,\n",
       "  1421,\n",
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       "  33,\n",
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       "  1310,\n",
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       "  2,\n",
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       "  15,\n",
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       "  382,\n",
       "  4784,\n",
       "  3434,\n",
       "  20,\n",
       "  364,\n",
       "  52,\n",
       "  8029,\n",
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       "  500,\n",
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       "  18,\n",
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       "  3,\n",
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       " [199, 1312, 6],\n",
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       " [2072,\n",
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       "  37375,\n",
       "  740,\n",
       "  349,\n",
       "  5848,\n",
       "  146,\n",
       "  16485,\n",
       "  968,\n",
       "  329,\n",
       "  850,\n",
       "  36,\n",
       "  2267,\n",
       "  253,\n",
       "  9,\n",
       "  2225,\n",
       "  882,\n",
       "  1022,\n",
       "  19,\n",
       "  397,\n",
       "  105,\n",
       "  325,\n",
       "  5,\n",
       "  19,\n",
       "  1147,\n",
       "  186],\n",
       " [37376,\n",
       "  43,\n",
       "  37377,\n",
       "  1353,\n",
       "  18,\n",
       "  16,\n",
       "  296,\n",
       "  245,\n",
       "  26642,\n",
       "  37378,\n",
       "  26643,\n",
       "  37379,\n",
       "  37380,\n",
       "  1353,\n",
       "  1,\n",
       "  43,\n",
       "  37381,\n",
       "  21679,\n",
       "  802,\n",
       "  331,\n",
       "  7180,\n",
       "  1056,\n",
       "  473,\n",
       "  439,\n",
       "  37382,\n",
       "  37383,\n",
       "  16,\n",
       "  172,\n",
       "  18,\n",
       "  128,\n",
       "  37384],\n",
       " [18, 16, 91, 669, 347, 18, 16, 91, 669, 347],\n",
       " [984, 13, 23, 381, 40, 15, 355, 37, 36, 5],\n",
       " [4, 22, 25, 902, 4],\n",
       " [994,\n",
       "  1108,\n",
       "  69,\n",
       "  154,\n",
       "  1427,\n",
       "  1108,\n",
       "  12,\n",
       "  29,\n",
       "  6526,\n",
       "  760,\n",
       "  1445,\n",
       "  363,\n",
       "  161,\n",
       "  147,\n",
       "  201,\n",
       "  20],\n",
       " [1867,\n",
       "  18,\n",
       "  16,\n",
       "  1097,\n",
       "  126,\n",
       "  184,\n",
       "  11,\n",
       "  23,\n",
       "  126,\n",
       "  38,\n",
       "  9254,\n",
       "  1261,\n",
       "  157,\n",
       "  206,\n",
       "  3224,\n",
       "  27,\n",
       "  236,\n",
       "  5345,\n",
       "  22,\n",
       "  3,\n",
       "  95,\n",
       "  361,\n",
       "  44,\n",
       "  13694,\n",
       "  5345,\n",
       "  22,\n",
       "  3,\n",
       "  18,\n",
       "  16,\n",
       "  921,\n",
       "  41,\n",
       "  82,\n",
       "  10,\n",
       "  424,\n",
       "  299,\n",
       "  27,\n",
       "  121,\n",
       "  3190,\n",
       "  541,\n",
       "  62,\n",
       "  44,\n",
       "  2620,\n",
       "  157,\n",
       "  29,\n",
       "  18,\n",
       "  16,\n",
       "  44,\n",
       "  1867,\n",
       "  3490,\n",
       "  20,\n",
       "  29,\n",
       "  614,\n",
       "  13,\n",
       "  117,\n",
       "  215,\n",
       "  109,\n",
       "  17,\n",
       "  1680,\n",
       "  1026,\n",
       "  21680,\n",
       "  80,\n",
       "  40,\n",
       "  7004,\n",
       "  18,\n",
       "  16,\n",
       "  226,\n",
       "  355,\n",
       "  29,\n",
       "  102,\n",
       "  18,\n",
       "  16,\n",
       "  8030,\n",
       "  17,\n",
       "  9255,\n",
       "  430,\n",
       "  2542,\n",
       "  938],\n",
       " [69, 507],\n",
       " [4, 14, 42],\n",
       " [499, 799, 7, 786, 2235, 5530, 37385],\n",
       " [904, 176, 4],\n",
       " [362,\n",
       "  139,\n",
       "  220,\n",
       "  2190,\n",
       "  364,\n",
       "  93,\n",
       "  24,\n",
       "  161,\n",
       "  94,\n",
       "  2756,\n",
       "  643,\n",
       "  187,\n",
       "  84,\n",
       "  191,\n",
       "  23,\n",
       "  358,\n",
       "  2,\n",
       "  2014,\n",
       "  269,\n",
       "  144,\n",
       "  138,\n",
       "  9,\n",
       "  227],\n",
       " [2550,\n",
       "  37386,\n",
       "  1158,\n",
       "  243,\n",
       "  18,\n",
       "  16,\n",
       "  1297,\n",
       "  1900,\n",
       "  7595,\n",
       "  2044,\n",
       "  727,\n",
       "  116,\n",
       "  18,\n",
       "  16,\n",
       "  757],\n",
       " [21,\n",
       "  78,\n",
       "  10,\n",
       "  1258,\n",
       "  189,\n",
       "  86,\n",
       "  1189,\n",
       "  1948,\n",
       "  5441,\n",
       "  30,\n",
       "  3665,\n",
       "  741,\n",
       "  21,\n",
       "  78,\n",
       "  1599,\n",
       "  747,\n",
       "  1772,\n",
       "  522,\n",
       "  321],\n",
       " [1,\n",
       "  125,\n",
       "  11,\n",
       "  8,\n",
       "  1918,\n",
       "  236,\n",
       "  592,\n",
       "  558,\n",
       "  1611,\n",
       "  22,\n",
       "  25,\n",
       "  7,\n",
       "  775,\n",
       "  3536,\n",
       "  34,\n",
       "  210,\n",
       "  592,\n",
       "  2994,\n",
       "  1918,\n",
       "  592,\n",
       "  34,\n",
       "  133],\n",
       " [123, 629, 873, 32, 231],\n",
       " [1681,\n",
       "  280,\n",
       "  37387,\n",
       "  69,\n",
       "  23,\n",
       "  447,\n",
       "  3,\n",
       "  975,\n",
       "  1573,\n",
       "  26644,\n",
       "  290,\n",
       "  10,\n",
       "  334,\n",
       "  248,\n",
       "  238,\n",
       "  347,\n",
       "  300,\n",
       "  57,\n",
       "  1,\n",
       "  26,\n",
       "  325,\n",
       "  3582,\n",
       "  3],\n",
       " [9661,\n",
       "  102,\n",
       "  251,\n",
       "  2,\n",
       "  1141,\n",
       "  398,\n",
       "  324,\n",
       "  9256,\n",
       "  2028,\n",
       "  8031,\n",
       "  3508,\n",
       "  3,\n",
       "  3400,\n",
       "  128,\n",
       "  266,\n",
       "  2476,\n",
       "  1784,\n",
       "  944,\n",
       "  26,\n",
       "  8919],\n",
       " [1, 1, 90, 212, 2, 1949, 248, 4, 824, 662, 322, 824, 2333, 67, 74],\n",
       " [127, 101, 2197, 4785, 567, 21, 78],\n",
       " [37388,\n",
       "  689,\n",
       "  4325,\n",
       "  648,\n",
       "  39,\n",
       "  4621,\n",
       "  18,\n",
       "  16,\n",
       "  382,\n",
       "  46,\n",
       "  118,\n",
       "  22,\n",
       "  36,\n",
       "  42,\n",
       "  11889,\n",
       "  513,\n",
       "  207,\n",
       "  2043,\n",
       "  6219,\n",
       "  79,\n",
       "  382,\n",
       "  87,\n",
       "  8602,\n",
       "  10,\n",
       "  2085,\n",
       "  808,\n",
       "  26645,\n",
       "  26646,\n",
       "  8032,\n",
       "  382,\n",
       "  7181,\n",
       "  9257],\n",
       " [8, 90, 7596, 5, 17, 2529, 82, 355],\n",
       " [87,\n",
       "  5163,\n",
       "  1120,\n",
       "  329,\n",
       "  3358,\n",
       "  6666,\n",
       "  18532,\n",
       "  39,\n",
       "  6666,\n",
       "  204,\n",
       "  283,\n",
       "  783,\n",
       "  1552,\n",
       "  358,\n",
       "  2,\n",
       "  353,\n",
       "  275,\n",
       "  37389,\n",
       "  257,\n",
       "  93,\n",
       "  256],\n",
       " [6829,\n",
       "  8,\n",
       "  4075,\n",
       "  318,\n",
       "  21681,\n",
       "  305,\n",
       "  108,\n",
       "  11890,\n",
       "  317,\n",
       "  37390,\n",
       "  6829,\n",
       "  37391,\n",
       "  2317,\n",
       "  171,\n",
       "  6829,\n",
       "  37392,\n",
       "  19,\n",
       "  2911,\n",
       "  21681,\n",
       "  9258],\n",
       " [1, 186, 337, 503],\n",
       " [1240, 4, 206, 330, 2513, 111, 26, 4],\n",
       " [2154, 2808, 190, 26, 2808, 37393],\n",
       " [129, 203, 19, 321, 85, 22, 25, 719, 124, 9],\n",
       " [268, 12683],\n",
       " [859, 962, 859, 1, 9259, 1487, 574, 10097, 435],\n",
       " [2403,\n",
       "  773,\n",
       "  414,\n",
       "  238,\n",
       "  120,\n",
       "  195,\n",
       "  12684,\n",
       "  11,\n",
       "  5079,\n",
       "  327,\n",
       "  19,\n",
       "  1689,\n",
       "  7577,\n",
       "  13695,\n",
       "  195,\n",
       "  944,\n",
       "  293,\n",
       "  11,\n",
       "  42,\n",
       "  36,\n",
       "  75,\n",
       "  606,\n",
       "  150,\n",
       "  164,\n",
       "  7796],\n",
       " [3164, 16, 1224, 1950, 16, 7],\n",
       " [416, 187, 2844, 5849, 251, 5850, 14930, 9, 6, 4],\n",
       " [5633, 4624, 1380, 727, 18, 16, 1610, 1, 44, 315, 239, 14931],\n",
       " [13,\n",
       "  23,\n",
       "  8580,\n",
       "  17,\n",
       "  13,\n",
       "  23,\n",
       "  15,\n",
       "  17,\n",
       "  55,\n",
       "  68,\n",
       "  401,\n",
       "  45,\n",
       "  1165,\n",
       "  12,\n",
       "  1298,\n",
       "  2186,\n",
       "  13696,\n",
       "  730,\n",
       "  9260,\n",
       "  1243,\n",
       "  45,\n",
       "  257,\n",
       "  2705,\n",
       "  1165,\n",
       "  94,\n",
       "  11159,\n",
       "  549,\n",
       "  2400,\n",
       "  821,\n",
       "  24,\n",
       "  18533,\n",
       "  208,\n",
       "  267,\n",
       "  106,\n",
       "  22,\n",
       "  151,\n",
       "  4288,\n",
       "  3,\n",
       "  14,\n",
       "  1558,\n",
       "  2,\n",
       "  498,\n",
       "  1454,\n",
       "  251,\n",
       "  12,\n",
       "  138,\n",
       "  4177,\n",
       "  3,\n",
       "  14,\n",
       "  97,\n",
       "  266,\n",
       "  2,\n",
       "  208,\n",
       "  1889,\n",
       "  11891,\n",
       "  132,\n",
       "  163,\n",
       "  251,\n",
       "  959,\n",
       "  9,\n",
       "  3701,\n",
       "  1889,\n",
       "  11892,\n",
       "  1869,\n",
       "  3292,\n",
       "  568,\n",
       "  9,\n",
       "  2477,\n",
       "  251,\n",
       "  79,\n",
       "  9,\n",
       "  391,\n",
       "  612,\n",
       "  2,\n",
       "  172,\n",
       "  1350,\n",
       "  26647,\n",
       "  97,\n",
       "  251,\n",
       "  12,\n",
       "  1074,\n",
       "  5,\n",
       "  6207,\n",
       "  1039,\n",
       "  665,\n",
       "  36,\n",
       "  42],\n",
       " [15, 17, 3122, 139, 7, 3061, 14932, 732, 808, 1050, 34, 4849, 1275],\n",
       " [6,\n",
       "  276,\n",
       "  6,\n",
       "  701,\n",
       "  4289,\n",
       "  37394,\n",
       "  10098,\n",
       "  108,\n",
       "  701,\n",
       "  26,\n",
       "  607,\n",
       "  140,\n",
       "  221,\n",
       "  351,\n",
       "  1752,\n",
       "  2869,\n",
       "  3109,\n",
       "  701,\n",
       "  10,\n",
       "  407,\n",
       "  1629,\n",
       "  3742,\n",
       "  2,\n",
       "  1279,\n",
       "  568,\n",
       "  2,\n",
       "  864,\n",
       "  786,\n",
       "  192,\n",
       "  108,\n",
       "  4290,\n",
       "  4122,\n",
       "  76,\n",
       "  1901,\n",
       "  6224,\n",
       "  153,\n",
       "  287,\n",
       "  1931,\n",
       "  1219,\n",
       "  59,\n",
       "  539,\n",
       "  108,\n",
       "  44,\n",
       "  701,\n",
       "  275],\n",
       " [1, 1, 11, 1621, 119],\n",
       " [111,\n",
       "  4,\n",
       "  1245,\n",
       "  4981,\n",
       "  2,\n",
       "  2,\n",
       "  2607,\n",
       "  866,\n",
       "  7597,\n",
       "  1623,\n",
       "  816,\n",
       "  814,\n",
       "  33,\n",
       "  10,\n",
       "  625,\n",
       "  626,\n",
       "  3571,\n",
       "  241,\n",
       "  2345,\n",
       "  1625,\n",
       "  2714,\n",
       "  743,\n",
       "  2],\n",
       " [5159,\n",
       "  69,\n",
       "  3,\n",
       "  1852,\n",
       "  502,\n",
       "  85,\n",
       "  3,\n",
       "  122,\n",
       "  114,\n",
       "  10,\n",
       "  950,\n",
       "  96,\n",
       "  170,\n",
       "  603,\n",
       "  182,\n",
       "  41,\n",
       "  4175,\n",
       "  404,\n",
       "  12685,\n",
       "  2431,\n",
       "  243,\n",
       "  603,\n",
       "  182,\n",
       "  502,\n",
       "  37395,\n",
       "  11,\n",
       "  40,\n",
       "  29,\n",
       "  87,\n",
       "  1924,\n",
       "  82,\n",
       "  355,\n",
       "  132,\n",
       "  2912,\n",
       "  1860,\n",
       "  446,\n",
       "  18,\n",
       "  4709],\n",
       " [7, 350, 46, 209, 27, 1421, 7, 46, 2639, 88, 16486],\n",
       " [47, 323, 2996, 1, 73],\n",
       " [4170, 1068, 26648, 23, 172, 1068, 26648],\n",
       " [6,\n",
       "  6,\n",
       "  300,\n",
       "  10,\n",
       "  184,\n",
       "  5346,\n",
       "  1936,\n",
       "  347,\n",
       "  21682,\n",
       "  37396,\n",
       "  21657,\n",
       "  938,\n",
       "  2236,\n",
       "  2732,\n",
       "  2236,\n",
       "  9261],\n",
       " [26649,\n",
       "  2573,\n",
       "  43,\n",
       "  66,\n",
       "  10,\n",
       "  101,\n",
       "  351,\n",
       "  634,\n",
       "  14933,\n",
       "  704,\n",
       "  26649,\n",
       "  10099,\n",
       "  1255,\n",
       "  92,\n",
       "  26650,\n",
       "  34,\n",
       "  307,\n",
       "  2415,\n",
       "  118,\n",
       "  97,\n",
       "  4,\n",
       "  2,\n",
       "  391,\n",
       "  83,\n",
       "  18,\n",
       "  16],\n",
       " [14934, 149, 2173, 263, 2262, 13, 38, 3311, 4861, 122, 114, 45, 14, 8],\n",
       " [381, 16487, 11, 21, 62, 83],\n",
       " [2945, 8920, 531, 144, 3509, 549, 2945, 8285, 159, 1308, 167, 5745],\n",
       " [429, 1514, 2464, 8, 40, 5, 17, 14, 201, 20],\n",
       " [205, 576, 144, 50, 181, 2031, 482, 50, 3],\n",
       " [461, 830, 5967, 168],\n",
       " [126,\n",
       "  10,\n",
       "  84,\n",
       "  28,\n",
       "  1464,\n",
       "  3401,\n",
       "  13697,\n",
       "  10,\n",
       "  531,\n",
       "  3986,\n",
       "  3,\n",
       "  10,\n",
       "  531,\n",
       "  3986,\n",
       "  597,\n",
       "  126,\n",
       "  531,\n",
       "  3986,\n",
       "  597,\n",
       "  51,\n",
       "  5150],\n",
       " [3293,\n",
       "  771,\n",
       "  6,\n",
       "  207,\n",
       "  654,\n",
       "  37397,\n",
       "  156,\n",
       "  26651,\n",
       "  77,\n",
       "  184,\n",
       "  452,\n",
       "  37398,\n",
       "  3071,\n",
       "  14,\n",
       "  37399,\n",
       "  744,\n",
       "  8294,\n",
       "  322,\n",
       "  727,\n",
       "  493,\n",
       "  3777,\n",
       "  483,\n",
       "  757,\n",
       "  1421,\n",
       "  5634,\n",
       "  12686,\n",
       "  21683,\n",
       "  1957,\n",
       "  4378],\n",
       " [1, 126, 4710, 6, 4],\n",
       " [4, 55, 68, 11, 42, 446, 2226, 16],\n",
       " [8, 26],\n",
       " [257,\n",
       "  3862,\n",
       "  2037,\n",
       "  745,\n",
       "  28,\n",
       "  2037,\n",
       "  745,\n",
       "  257,\n",
       "  1355,\n",
       "  1827,\n",
       "  1031,\n",
       "  4124,\n",
       "  1169,\n",
       "  3862,\n",
       "  37400,\n",
       "  1169],\n",
       " [235, 623, 235, 623, 178, 3620, 26652, 147, 7370, 3, 8],\n",
       " [1624,\n",
       "  28,\n",
       "  674,\n",
       "  1013,\n",
       "  14,\n",
       "  83,\n",
       "  18,\n",
       "  227,\n",
       "  267,\n",
       "  1902,\n",
       "  71,\n",
       "  3087,\n",
       "  18,\n",
       "  16,\n",
       "  140,\n",
       "  77,\n",
       "  36,\n",
       "  13,\n",
       "  17,\n",
       "  16488,\n",
       "  392,\n",
       "  14,\n",
       "  11,\n",
       "  3262,\n",
       "  239,\n",
       "  263,\n",
       "  2946,\n",
       "  1533,\n",
       "  77,\n",
       "  159,\n",
       "  14,\n",
       "  1102,\n",
       "  3824,\n",
       "  1902,\n",
       "  10067,\n",
       "  71,\n",
       "  24,\n",
       "  2191,\n",
       "  1183,\n",
       "  77,\n",
       "  148],\n",
       " [612,\n",
       "  40,\n",
       "  18,\n",
       "  409,\n",
       "  2261,\n",
       "  82,\n",
       "  408,\n",
       "  8603,\n",
       "  2261,\n",
       "  237,\n",
       "  8033,\n",
       "  543,\n",
       "  1455,\n",
       "  37401,\n",
       "  95,\n",
       "  4076,\n",
       "  45,\n",
       "  293,\n",
       "  747,\n",
       "  37402,\n",
       "  13698,\n",
       "  153,\n",
       "  1829,\n",
       "  234,\n",
       "  83,\n",
       "  1094,\n",
       "  1468,\n",
       "  457],\n",
       " [660, 199, 3454, 36, 21, 4630, 6092, 6, 100, 4],\n",
       " [5519, 5519, 8, 52, 263, 746],\n",
       " [663, 686, 60, 1583],\n",
       " [1289, 6225, 4, 22, 25, 115, 7371, 2, 127, 4],\n",
       " [467, 131, 18, 16, 152, 72, 76, 217, 447, 2],\n",
       " ...]"
      ]
     },
     "execution_count": 104,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train_sequences"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Designing Model Architecture"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 82,
   "metadata": {},
   "outputs": [],
   "source": [
    "def DNN():\n",
    "    model = Sequential()\n",
    "    model.add(Embedding(n_unique_words, n_dim, input_length=max_text_length))\n",
    "    model.add(Flatten())\n",
    "    model.add(Dense(n_dense, activation='relu'))\n",
    "    model.add(Dropout(dropout))\n",
    "    model.add(Dense(1, activation='sigmoid'))\n",
    "    return model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 83,
   "metadata": {
    "collapsed": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Model: \"sequential_6\"\n",
      "_________________________________________________________________\n",
      "Layer (type)                 Output Shape              Param #   \n",
      "=================================================================\n",
      "embedding_6 (Embedding)      (None, 150, 64)           6400000   \n",
      "_________________________________________________________________\n",
      "flatten_6 (Flatten)          (None, 9600)              0         \n",
      "_________________________________________________________________\n",
      "dense_11 (Dense)             (None, 64)                614464    \n",
      "_________________________________________________________________\n",
      "dropout_6 (Dropout)          (None, 64)                0         \n",
      "_________________________________________________________________\n",
      "dense_12 (Dense)             (None, 1)                 65        \n",
      "=================================================================\n",
      "Total params: 7,014,529\n",
      "Trainable params: 7,014,529\n",
      "Non-trainable params: 0\n",
      "_________________________________________________________________\n"
     ]
    }
   ],
   "source": [
    "model = DNN()\n",
    "model.summary()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Configure Model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 84,
   "metadata": {},
   "outputs": [],
   "source": [
    "model.compile(loss='binary_crossentropy',optimizer='adam',metrics=['accuracy'])\n",
    "model_ckpt = ModelCheckpoint(filepath=output_dir+'weights.{epoch:02d}.hdf5')\n",
    "\n",
    "if not os.path.exists(output_dir):\n",
    "    os.makedirs(output_dir)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Train"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 87,
   "metadata": {
    "collapsed": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Train on 125369 samples, validate on 53730 samples\n",
      "Epoch 1/4\n",
      "125369/125369 [==============================] - 78s 626us/step - loss: 0.4624 - accuracy: 0.8329 - val_loss: 0.4532 - val_accuracy: 0.8329\n",
      "Epoch 2/4\n",
      "125369/125369 [==============================] - 79s 628us/step - loss: 0.3854 - accuracy: 0.8462 - val_loss: 0.5245 - val_accuracy: 0.8095\n",
      "Epoch 3/4\n",
      "125369/125369 [==============================] - 80s 638us/step - loss: 0.2117 - accuracy: 0.9176 - val_loss: 0.7168 - val_accuracy: 0.7649\n",
      "Epoch 4/4\n",
      "125369/125369 [==============================] - 80s 641us/step - loss: 0.1441 - accuracy: 0.9458 - val_loss: 0.9345 - val_accuracy: 0.7625\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<keras.callbacks.callbacks.History at 0x7fdcc84e9438>"
      ]
     },
     "execution_count": 87,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "model.fit(train_sequences_matrix, Y_train, \n",
    "          batch_size=batch_size, \n",
    "          epochs=epochs, \n",
    "          verbose=1, \n",
    "          validation_data=(test_sequences_matrix, Y_test), callbacks=[model_ckpt])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Evaluate"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 95,
   "metadata": {},
   "outputs": [],
   "source": [
    "model.load_weights(output_dir+'/weights.02.hdf5')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 96,
   "metadata": {},
   "outputs": [],
   "source": [
    "y_hat = model.predict_proba(test_sequences_matrix)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 101,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.hist(y_hat)\n",
    "_ = plt.axvline(x=.5, color='orange')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 103,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "49.94229386221398\n"
     ]
    }
   ],
   "source": [
    "auc = roc_auc_score(Y_test, y_hat)*100.0\n",
    "print(auc)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}