Attempt 0.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "import librosa\n",
    "#import librosa.display\n",
    "import numpy as np\n",
    "#import matplotlib.pyplot as plt\n",
    "import tensorflow as tf\n",
    "#from matplotlib.pyplot import specgram\n",
    "import keras\n",
    "from keras.preprocessing import sequence\n",
    "from keras.models import Sequential\n",
    "from keras.layers import Dense, Embedding\n",
    "from keras.layers import LSTM\n",
    "from keras.preprocessing.text import Tokenizer\n",
    "from keras.preprocessing.sequence import pad_sequences\n",
    "from keras.utils import to_categorical\n",
    "from keras.layers import Input, Flatten, Dropout, Activation\n",
    "from keras.layers import Conv1D, MaxPooling1D, AveragePooling1D\n",
    "from keras.models import Model\n",
    "from keras.callbacks import ModelCheckpoint\n",
    "from sklearn.metrics import confusion_matrix"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "import os"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [],
   "source": [
    "actorlist = os.listdir('Audio')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "mydir = 'Audio/'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [],
   "source": [
    "mylist = os.listdir(mydir)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Actor_18\n"
     ]
    }
   ],
   "source": [
    "print(mylist[2])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [],
   "source": [
    "actorlist.sort()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['.DS_Store', 'Actor_01', 'Actor_02', 'Actor_03', 'Actor_04', 'Actor_05', 'Actor_06', 'Actor_07', 'Actor_08', 'Actor_09', 'Actor_10', 'Actor_11', 'Actor_12', 'Actor_13', 'Actor_14', 'Actor_15', 'Actor_16', 'Actor_17', 'Actor_18', 'Actor_19', 'Actor_20', 'Actor_21', 'Actor_22', 'Actor_23', 'Actor_24']\n"
     ]
    }
   ],
   "source": [
    "print(actorlist)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [],
   "source": [
    "feeling_list=[]\n",
    "mydir = 'Audio/'\n",
    "for actor in actorlist:\n",
    "    try:\n",
    "        mylist = os.listdir(mydir+actor)\n",
    "        mylist.sort()\n",
    "        for item in mylist:\n",
    "\n",
    "            if item[6:-16]=='01' and int(item[18:-4])%2==0:\n",
    "                feeling_list.append('female_neutral')\n",
    "            elif item[6:-16]=='01' and int(item[18:-4])%2==1:\n",
    "                feeling_list.append('male_neutral')\n",
    "\n",
    "            if item[6:-16]=='02' and int(item[18:-4])%2==0:\n",
    "                feeling_list.append('female_calm')\n",
    "            elif item[6:-16]=='02' and int(item[18:-4])%2==1:\n",
    "                feeling_list.append('male_calm')\n",
    "\n",
    "            elif item[6:-16]=='03' and int(item[18:-4])%2==0:\n",
    "                feeling_list.append('female_happy')\n",
    "            elif item[6:-16]=='03' and int(item[18:-4])%2==1:\n",
    "                feeling_list.append('male_happy')\n",
    "\n",
    "            elif item[6:-16]=='04' and int(item[18:-4])%2==0:\n",
    "                feeling_list.append('female_sad')\n",
    "            elif item[6:-16]=='04' and int(item[18:-4])%2==1:\n",
    "                feeling_list.append('male_sad')\n",
    "\n",
    "            elif item[6:-16]=='05' and int(item[18:-4])%2==0:\n",
    "                feeling_list.append('female_angry')\n",
    "            elif item[6:-16]=='05' and int(item[18:-4])%2==1:\n",
    "                feeling_list.append('male_angry')\n",
    "\n",
    "            elif item[6:-16]=='06' and int(item[18:-4])%2==0:\n",
    "                feeling_list.append('female_fearful')\n",
    "            elif item[6:-16]=='06' and int(item[18:-4])%2==1:\n",
    "                feeling_list.append('male_fearful')\n",
    "\n",
    "            if item[6:-16]=='07' and int(item[18:-4])%2==0:\n",
    "                feeling_list.append('female_disgust')\n",
    "            elif item[6:-16]=='07' and int(item[18:-4])%2==1:\n",
    "                feeling_list.append('male_disgust')\n",
    "\n",
    "            if item[6:-16]=='08' and int(item[18:-4])%2==0:\n",
    "                feeling_list.append('female_surpise')\n",
    "            elif item[6:-16]=='08' and int(item[18:-4])%2==1:\n",
    "                feeling_list.append('male_surprise')\n",
    "                \n",
    "    except: pass\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "labels = pd.DataFrame(feeling_list)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
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       "      <td>male_neutral</td>\n",
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       "      <td>male_neutral</td>\n",
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       "      <th>4</th>\n",
       "      <td>male_calm</td>\n",
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       "      <th>5</th>\n",
       "      <td>male_calm</td>\n",
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       "      <th>6</th>\n",
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       "      <th>9</th>\n",
       "      <td>male_calm</td>\n",
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       "      <th>10</th>\n",
       "      <td>male_happy</td>\n",
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       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>male_happy</td>\n",
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       "      <th>12</th>\n",
       "      <td>male_happy</td>\n",
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       "      <th>13</th>\n",
       "      <td>male_happy</td>\n",
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       "      <th>14</th>\n",
       "      <td>male_happy</td>\n",
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       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>male_happy</td>\n",
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       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>male_happy</td>\n",
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       "      <th>17</th>\n",
       "      <td>male_happy</td>\n",
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       "      <th>18</th>\n",
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       "      <th>19</th>\n",
       "      <td>male_sad</td>\n",
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       "      <th>20</th>\n",
       "      <td>male_sad</td>\n",
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       "      <th>21</th>\n",
       "      <td>male_sad</td>\n",
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       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>male_sad</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>male_sad</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>male_sad</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>male_sad</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>male_angry</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>male_angry</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>male_angry</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>male_angry</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1207</th>\n",
       "      <td>female_calm</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1208</th>\n",
       "      <td>female_calm</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1209</th>\n",
       "      <td>female_calm</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1210</th>\n",
       "      <td>female_happy</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1211</th>\n",
       "      <td>female_happy</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1212</th>\n",
       "      <td>female_happy</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1213</th>\n",
       "      <td>female_happy</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1214</th>\n",
       "      <td>female_happy</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1215</th>\n",
       "      <td>female_happy</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1216</th>\n",
       "      <td>female_happy</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1217</th>\n",
       "      <td>female_happy</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1218</th>\n",
       "      <td>female_sad</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1219</th>\n",
       "      <td>female_sad</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1220</th>\n",
       "      <td>female_sad</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1221</th>\n",
       "      <td>female_angry</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1222</th>\n",
       "      <td>female_angry</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1223</th>\n",
       "      <td>female_fearful</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1224</th>\n",
       "      <td>female_fearful</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1225</th>\n",
       "      <td>female_fearful</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1226</th>\n",
       "      <td>female_fearful</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1227</th>\n",
       "      <td>female_fearful</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1228</th>\n",
       "      <td>female_disgust</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1229</th>\n",
       "      <td>female_surpise</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1230</th>\n",
       "      <td>female_surpise</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1231</th>\n",
       "      <td>female_surpise</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1232</th>\n",
       "      <td>female_surpise</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1233</th>\n",
       "      <td>female_surpise</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1234</th>\n",
       "      <td>female_surpise</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1235</th>\n",
       "      <td>female_surpise</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1236</th>\n",
       "      <td>female_surpise</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1237 rows × 1 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                   0\n",
       "0       male_neutral\n",
       "1       male_neutral\n",
       "2       male_neutral\n",
       "3       male_neutral\n",
       "4          male_calm\n",
       "5          male_calm\n",
       "6          male_calm\n",
       "7          male_calm\n",
       "8          male_calm\n",
       "9          male_calm\n",
       "10        male_happy\n",
       "11        male_happy\n",
       "12        male_happy\n",
       "13        male_happy\n",
       "14        male_happy\n",
       "15        male_happy\n",
       "16        male_happy\n",
       "17        male_happy\n",
       "18          male_sad\n",
       "19          male_sad\n",
       "20          male_sad\n",
       "21          male_sad\n",
       "22          male_sad\n",
       "23          male_sad\n",
       "24          male_sad\n",
       "25          male_sad\n",
       "26        male_angry\n",
       "27        male_angry\n",
       "28        male_angry\n",
       "29        male_angry\n",
       "...              ...\n",
       "1207     female_calm\n",
       "1208     female_calm\n",
       "1209     female_calm\n",
       "1210    female_happy\n",
       "1211    female_happy\n",
       "1212    female_happy\n",
       "1213    female_happy\n",
       "1214    female_happy\n",
       "1215    female_happy\n",
       "1216    female_happy\n",
       "1217    female_happy\n",
       "1218      female_sad\n",
       "1219      female_sad\n",
       "1220      female_sad\n",
       "1221    female_angry\n",
       "1222    female_angry\n",
       "1223  female_fearful\n",
       "1224  female_fearful\n",
       "1225  female_fearful\n",
       "1226  female_fearful\n",
       "1227  female_fearful\n",
       "1228  female_disgust\n",
       "1229  female_surpise\n",
       "1230  female_surpise\n",
       "1231  female_surpise\n",
       "1232  female_surpise\n",
       "1233  female_surpise\n",
       "1234  female_surpise\n",
       "1235  female_surpise\n",
       "1236  female_surpise\n",
       "\n",
       "[1237 rows x 1 columns]"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "labels"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0 .DS_Store\n",
      "1 Actor_01\n",
      "2 Actor_02\n",
      "3 Actor_03\n",
      "4 Actor_04\n",
      "5 Actor_05\n",
      "6 Actor_06\n",
      "7 Actor_07\n",
      "8 Actor_08\n",
      "9 Actor_09\n",
      "10 Actor_10\n",
      "11 Actor_11\n",
      "12 Actor_12\n",
      "13 Actor_13\n",
      "14 Actor_14\n",
      "15 Actor_15\n",
      "16 Actor_16\n",
      "17 Actor_17\n",
      "18 Actor_18\n",
      "19 Actor_19\n",
      "20 Actor_20\n",
      "21 Actor_21\n",
      "22 Actor_22\n",
      "23 Actor_23\n",
      "24 Actor_24\n"
     ]
    }
   ],
   "source": [
    "df = pd.DataFrame(columns=['feature'])\n",
    "bookmark=0\n",
    "for index,actor in enumerate(actorlist):\n",
    "    print(index, actor)\n",
    "    try:\n",
    "        recordinglist = os.listdir('Audio/'+actor)\n",
    "        for index, recording in enumerate(recordinglist):\n",
    "            X, sample_rate = librosa.load('Audio/'+actor+'/'+recording, res_type='kaiser_fast',duration=2.5,sr=22050*2,offset=0.5)\n",
    "            sample_rate = np.array(sample_rate)\n",
    "            mfccs = np.mean(librosa.feature.mfcc(y=X, \n",
    "                                                sr=sample_rate, \n",
    "                                                n_mfcc=13),\n",
    "                            axis=0)\n",
    "            feature = mfccs\n",
    "            df.loc[bookmark] = [feature]\n",
    "            bookmark=bookmark+1\n",
    "    except: pass"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [],
   "source": [
    "featuresDf = pd.DataFrame(df['feature'].values.tolist())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
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       "      <td>-61.862374</td>\n",
       "      <td>-61.862374</td>\n",
       "      <td>...</td>\n",
       "      <td>-61.862374</td>\n",
       "      <td>-61.862374</td>\n",
       "      <td>-61.761406</td>\n",
       "      <td>-60.348411</td>\n",
       "      <td>-60.160468</td>\n",
       "      <td>-61.384289</td>\n",
       "      <td>-60.519129</td>\n",
       "      <td>-61.495963</td>\n",
       "      <td>-61.862374</td>\n",
       "      <td>-60.531564</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>-61.508001</td>\n",
       "      <td>-61.508001</td>\n",
       "      <td>-61.508001</td>\n",
       "      <td>-61.508001</td>\n",
       "      <td>-61.508001</td>\n",
       "      <td>-61.508001</td>\n",
       "      <td>-61.508001</td>\n",
       "      <td>-61.508001</td>\n",
       "      <td>-61.508001</td>\n",
       "      <td>-61.508001</td>\n",
       "      <td>...</td>\n",
       "      <td>-61.508001</td>\n",
       "      <td>-61.508001</td>\n",
       "      <td>-61.508001</td>\n",
       "      <td>-61.508001</td>\n",
       "      <td>-61.508001</td>\n",
       "      <td>-61.508001</td>\n",
       "      <td>-61.508001</td>\n",
       "      <td>-61.508001</td>\n",
       "      <td>-61.508001</td>\n",
       "      <td>-61.508001</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>-55.663086</td>\n",
       "      <td>-56.170336</td>\n",
       "      <td>-56.157848</td>\n",
       "      <td>-54.663471</td>\n",
       "      <td>-55.166778</td>\n",
       "      <td>-56.156944</td>\n",
       "      <td>-56.156944</td>\n",
       "      <td>-56.156944</td>\n",
       "      <td>-56.156944</td>\n",
       "      <td>-56.156944</td>\n",
       "      <td>...</td>\n",
       "      <td>-55.155076</td>\n",
       "      <td>-56.156944</td>\n",
       "      <td>-56.156944</td>\n",
       "      <td>-56.156944</td>\n",
       "      <td>-55.844215</td>\n",
       "      <td>-56.156944</td>\n",
       "      <td>-56.156944</td>\n",
       "      <td>-56.156944</td>\n",
       "      <td>-56.156944</td>\n",
       "      <td>-56.156944</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>-63.523530</td>\n",
       "      <td>-63.523530</td>\n",
       "      <td>-63.523530</td>\n",
       "      <td>-63.523530</td>\n",
       "      <td>-63.523530</td>\n",
       "      <td>-63.377373</td>\n",
       "      <td>-61.595853</td>\n",
       "      <td>-63.160227</td>\n",
       "      <td>-63.523530</td>\n",
       "      <td>-63.523530</td>\n",
       "      <td>...</td>\n",
       "      <td>-39.336517</td>\n",
       "      <td>-39.847823</td>\n",
       "      <td>-40.466040</td>\n",
       "      <td>-40.448086</td>\n",
       "      <td>-42.883065</td>\n",
       "      <td>-43.367558</td>\n",
       "      <td>-46.280296</td>\n",
       "      <td>-48.273818</td>\n",
       "      <td>-49.745182</td>\n",
       "      <td>-50.472916</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>-54.985143</td>\n",
       "      <td>-54.914563</td>\n",
       "      <td>-54.937813</td>\n",
       "      <td>-56.227640</td>\n",
       "      <td>-56.685268</td>\n",
       "      <td>-57.022505</td>\n",
       "      <td>-58.089938</td>\n",
       "      <td>-58.376127</td>\n",
       "      <td>-58.420398</td>\n",
       "      <td>-56.623606</td>\n",
       "      <td>...</td>\n",
       "      <td>-41.046524</td>\n",
       "      <td>-42.297510</td>\n",
       "      <td>-41.002176</td>\n",
       "      <td>-41.728109</td>\n",
       "      <td>-41.608780</td>\n",
       "      <td>-43.741884</td>\n",
       "      <td>-45.259488</td>\n",
       "      <td>-44.909683</td>\n",
       "      <td>-44.988356</td>\n",
       "      <td>-44.630824</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>-67.736151</td>\n",
       "      <td>-67.778018</td>\n",
       "      <td>-66.746144</td>\n",
       "      <td>-65.957883</td>\n",
       "      <td>-67.736151</td>\n",
       "      <td>-67.736151</td>\n",
       "      <td>-67.736151</td>\n",
       "      <td>-67.258683</td>\n",
       "      <td>-67.736151</td>\n",
       "      <td>-67.736151</td>\n",
       "      <td>...</td>\n",
       "      <td>-61.192877</td>\n",
       "      <td>-61.116259</td>\n",
       "      <td>-63.291237</td>\n",
       "      <td>-65.844225</td>\n",
       "      <td>-65.121000</td>\n",
       "      <td>-59.515303</td>\n",
       "      <td>-59.591485</td>\n",
       "      <td>-66.712170</td>\n",
       "      <td>-67.736151</td>\n",
       "      <td>-67.736151</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>-61.560626</td>\n",
       "      <td>-61.560626</td>\n",
       "      <td>-61.560626</td>\n",
       "      <td>-61.560626</td>\n",
       "      <td>-61.560626</td>\n",
       "      <td>-61.560626</td>\n",
       "      <td>-61.560626</td>\n",
       "      <td>-61.560626</td>\n",
       "      <td>-61.560626</td>\n",
       "      <td>-61.560626</td>\n",
       "      <td>...</td>\n",
       "      <td>-55.407579</td>\n",
       "      <td>-53.844575</td>\n",
       "      <td>-54.260574</td>\n",
       "      <td>-55.809029</td>\n",
       "      <td>-54.627146</td>\n",
       "      <td>-53.186850</td>\n",
       "      <td>-53.998237</td>\n",
       "      <td>-53.535159</td>\n",
       "      <td>-57.203741</td>\n",
       "      <td>-59.989199</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>-57.414988</td>\n",
       "      <td>-57.414988</td>\n",
       "      <td>-57.414988</td>\n",
       "      <td>-57.414988</td>\n",
       "      <td>-57.414988</td>\n",
       "      <td>-57.414988</td>\n",
       "      <td>-57.414988</td>\n",
       "      <td>-57.414988</td>\n",
       "      <td>-57.414988</td>\n",
       "      <td>-57.414988</td>\n",
       "      <td>...</td>\n",
       "      <td>-27.840106</td>\n",
       "      <td>-27.892961</td>\n",
       "      <td>-29.425555</td>\n",
       "      <td>-31.255728</td>\n",
       "      <td>-34.011845</td>\n",
       "      <td>-34.322584</td>\n",
       "      <td>-33.564934</td>\n",
       "      <td>-36.074428</td>\n",
       "      <td>-37.658693</td>\n",
       "      <td>-38.917999</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>-60.369038</td>\n",
       "      <td>-60.083715</td>\n",
       "      <td>-60.978925</td>\n",
       "      <td>-60.952456</td>\n",
       "      <td>-60.982486</td>\n",
       "      <td>-60.983948</td>\n",
       "      <td>-60.981255</td>\n",
       "      <td>-60.981255</td>\n",
       "      <td>-60.981255</td>\n",
       "      <td>-60.249618</td>\n",
       "      <td>...</td>\n",
       "      <td>-48.786174</td>\n",
       "      <td>-49.848358</td>\n",
       "      <td>-49.632920</td>\n",
       "      <td>-55.102587</td>\n",
       "      <td>-55.481730</td>\n",
       "      <td>-52.952234</td>\n",
       "      <td>-51.401589</td>\n",
       "      <td>-54.072970</td>\n",
       "      <td>-52.639566</td>\n",
       "      <td>-52.664178</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>-73.841370</td>\n",
       "      <td>-73.841370</td>\n",
       "      <td>-73.841370</td>\n",
       "      <td>-73.719655</td>\n",
       "      <td>-73.841370</td>\n",
       "      <td>-73.841370</td>\n",
       "      <td>-73.841370</td>\n",
       "      <td>-73.303635</td>\n",
       "      <td>-72.806811</td>\n",
       "      <td>-73.841370</td>\n",
       "      <td>...</td>\n",
       "      <td>-51.629344</td>\n",
       "      <td>-50.568866</td>\n",
       "      <td>-53.505840</td>\n",
       "      <td>-54.222252</td>\n",
       "      <td>-51.545521</td>\n",
       "      <td>-52.573785</td>\n",
       "      <td>-54.786292</td>\n",
       "      <td>-56.344280</td>\n",
       "      <td>-57.508212</td>\n",
       "      <td>-56.577322</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>-66.058485</td>\n",
       "      <td>-66.058485</td>\n",
       "      <td>-66.058485</td>\n",
       "      <td>-66.058485</td>\n",
       "      <td>-66.058485</td>\n",
       "      <td>-66.058485</td>\n",
       "      <td>-66.058485</td>\n",
       "      <td>-66.058485</td>\n",
       "      <td>-66.058485</td>\n",
       "      <td>-66.058485</td>\n",
       "      <td>...</td>\n",
       "      <td>-57.539617</td>\n",
       "      <td>-55.826307</td>\n",
       "      <td>-57.741989</td>\n",
       "      <td>-59.796385</td>\n",
       "      <td>-60.975377</td>\n",
       "      <td>-62.663056</td>\n",
       "      <td>-64.573480</td>\n",
       "      <td>-63.782612</td>\n",
       "      <td>-61.515785</td>\n",
       "      <td>-58.214885</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>-69.673289</td>\n",
       "      <td>-69.693311</td>\n",
       "      <td>-69.693311</td>\n",
       "      <td>-69.693311</td>\n",
       "      <td>-69.693311</td>\n",
       "      <td>-69.693311</td>\n",
       "      <td>-69.693311</td>\n",
       "      <td>-69.620774</td>\n",
       "      <td>-69.693311</td>\n",
       "      <td>-68.906572</td>\n",
       "      <td>...</td>\n",
       "      <td>-61.967161</td>\n",
       "      <td>-61.018557</td>\n",
       "      <td>-60.341144</td>\n",
       "      <td>-63.465331</td>\n",
       "      <td>-64.500144</td>\n",
       "      <td>-61.646850</td>\n",
       "      <td>-58.001485</td>\n",
       "      <td>-58.848490</td>\n",
       "      <td>-62.603930</td>\n",
       "      <td>-61.121783</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>-58.731007</td>\n",
       "      <td>-58.746531</td>\n",
       "      <td>-58.048578</td>\n",
       "      <td>-57.370804</td>\n",
       "      <td>-58.199914</td>\n",
       "      <td>-59.706633</td>\n",
       "      <td>-59.876183</td>\n",
       "      <td>-59.998060</td>\n",
       "      <td>-59.936650</td>\n",
       "      <td>-60.248568</td>\n",
       "      <td>...</td>\n",
       "      <td>-54.060476</td>\n",
       "      <td>-50.477974</td>\n",
       "      <td>-50.955292</td>\n",
       "      <td>-55.110642</td>\n",
       "      <td>-53.636647</td>\n",
       "      <td>-57.134217</td>\n",
       "      <td>-58.249914</td>\n",
       "      <td>-56.417940</td>\n",
       "      <td>-54.576753</td>\n",
       "      <td>-51.933967</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>-65.427316</td>\n",
       "      <td>-65.427316</td>\n",
       "      <td>-65.261778</td>\n",
       "      <td>-65.427316</td>\n",
       "      <td>-65.427316</td>\n",
       "      <td>-65.427316</td>\n",
       "      <td>-65.027579</td>\n",
       "      <td>-65.404326</td>\n",
       "      <td>-65.427316</td>\n",
       "      <td>-58.999030</td>\n",
       "      <td>...</td>\n",
       "      <td>-59.589138</td>\n",
       "      <td>-60.775384</td>\n",
       "      <td>-64.036734</td>\n",
       "      <td>-64.463488</td>\n",
       "      <td>-65.204989</td>\n",
       "      <td>-64.805729</td>\n",
       "      <td>-64.463925</td>\n",
       "      <td>-61.400518</td>\n",
       "      <td>-60.954330</td>\n",
       "      <td>-62.738246</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>-70.746514</td>\n",
       "      <td>-70.746514</td>\n",
       "      <td>-70.025286</td>\n",
       "      <td>-69.131263</td>\n",
       "      <td>-70.746514</td>\n",
       "      <td>-70.746514</td>\n",
       "      <td>-70.746514</td>\n",
       "      <td>-70.746514</td>\n",
       "      <td>-70.746514</td>\n",
       "      <td>-70.746514</td>\n",
       "      <td>...</td>\n",
       "      <td>-30.967125</td>\n",
       "      <td>-32.430043</td>\n",
       "      <td>-32.474731</td>\n",
       "      <td>-34.334454</td>\n",
       "      <td>-38.280955</td>\n",
       "      <td>-39.110355</td>\n",
       "      <td>-41.010279</td>\n",
       "      <td>-40.282721</td>\n",
       "      <td>-41.454053</td>\n",
       "      <td>-44.383208</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>-65.800971</td>\n",
       "      <td>-65.800971</td>\n",
       "      <td>-65.800971</td>\n",
       "      <td>-65.800971</td>\n",
       "      <td>-65.800971</td>\n",
       "      <td>-65.800971</td>\n",
       "      <td>-65.800971</td>\n",
       "      <td>-65.800971</td>\n",
       "      <td>-65.800971</td>\n",
       "      <td>-65.800971</td>\n",
       "      <td>...</td>\n",
       "      <td>-58.299903</td>\n",
       "      <td>-62.295248</td>\n",
       "      <td>-64.930130</td>\n",
       "      <td>-65.332128</td>\n",
       "      <td>-64.116934</td>\n",
       "      <td>-64.319911</td>\n",
       "      <td>-64.971422</td>\n",
       "      <td>-63.155779</td>\n",
       "      <td>-64.178668</td>\n",
       "      <td>-63.061902</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>-56.872732</td>\n",
       "      <td>-56.872732</td>\n",
       "      <td>-56.872732</td>\n",
       "      <td>-56.872732</td>\n",
       "      <td>-56.872732</td>\n",
       "      <td>-56.872732</td>\n",
       "      <td>-56.872732</td>\n",
       "      <td>-56.872732</td>\n",
       "      <td>-56.872732</td>\n",
       "      <td>-56.872732</td>\n",
       "      <td>...</td>\n",
       "      <td>-52.086101</td>\n",
       "      <td>-53.075004</td>\n",
       "      <td>-50.191141</td>\n",
       "      <td>-52.827795</td>\n",
       "      <td>-52.266746</td>\n",
       "      <td>-52.902039</td>\n",
       "      <td>-55.671309</td>\n",
       "      <td>-54.770633</td>\n",
       "      <td>-55.084441</td>\n",
       "      <td>-54.702373</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>-45.030752</td>\n",
       "      <td>-46.782718</td>\n",
       "      <td>-47.775523</td>\n",
       "      <td>-45.638217</td>\n",
       "      <td>-45.101453</td>\n",
       "      <td>-48.043098</td>\n",
       "      <td>-48.737015</td>\n",
       "      <td>-48.716680</td>\n",
       "      <td>-49.198881</td>\n",
       "      <td>-49.100113</td>\n",
       "      <td>...</td>\n",
       "      <td>-55.137522</td>\n",
       "      <td>-56.838867</td>\n",
       "      <td>-54.096441</td>\n",
       "      <td>-53.427294</td>\n",
       "      <td>-59.046055</td>\n",
       "      <td>-57.349793</td>\n",
       "      <td>-58.454388</td>\n",
       "      <td>-59.379402</td>\n",
       "      <td>-60.010827</td>\n",
       "      <td>-60.010827</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>-55.623820</td>\n",
       "      <td>-55.623820</td>\n",
       "      <td>-55.570382</td>\n",
       "      <td>-53.938661</td>\n",
       "      <td>-52.901043</td>\n",
       "      <td>-54.380761</td>\n",
       "      <td>-54.381170</td>\n",
       "      <td>-55.478573</td>\n",
       "      <td>-55.612238</td>\n",
       "      <td>-55.888784</td>\n",
       "      <td>...</td>\n",
       "      <td>-33.353605</td>\n",
       "      <td>-31.432299</td>\n",
       "      <td>-33.775317</td>\n",
       "      <td>-36.061379</td>\n",
       "      <td>-38.142237</td>\n",
       "      <td>-38.785398</td>\n",
       "      <td>-39.644426</td>\n",
       "      <td>-41.592496</td>\n",
       "      <td>-45.736790</td>\n",
       "      <td>-42.881675</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>-37.497485</td>\n",
       "      <td>-40.120203</td>\n",
       "      <td>-41.299181</td>\n",
       "      <td>-42.205225</td>\n",
       "      <td>-42.010662</td>\n",
       "      <td>-42.347005</td>\n",
       "      <td>-41.992263</td>\n",
       "      <td>-40.100020</td>\n",
       "      <td>-38.743483</td>\n",
       "      <td>-38.762679</td>\n",
       "      <td>...</td>\n",
       "      <td>-23.044164</td>\n",
       "      <td>-23.336383</td>\n",
       "      <td>-23.641674</td>\n",
       "      <td>-24.689784</td>\n",
       "      <td>-27.675552</td>\n",
       "      <td>-29.822065</td>\n",
       "      <td>-30.353207</td>\n",
       "      <td>-30.983005</td>\n",
       "      <td>-29.849928</td>\n",
       "      <td>-29.777451</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>-70.229631</td>\n",
       "      <td>-70.229631</td>\n",
       "      <td>-70.229631</td>\n",
       "      <td>-70.229631</td>\n",
       "      <td>-70.229631</td>\n",
       "      <td>-70.229631</td>\n",
       "      <td>-70.229631</td>\n",
       "      <td>-70.229631</td>\n",
       "      <td>-70.229631</td>\n",
       "      <td>-70.229631</td>\n",
       "      <td>...</td>\n",
       "      <td>-70.229631</td>\n",
       "      <td>-70.229631</td>\n",
       "      <td>-70.229631</td>\n",
       "      <td>-70.229631</td>\n",
       "      <td>-70.229631</td>\n",
       "      <td>-66.133574</td>\n",
       "      <td>-62.637364</td>\n",
       "      <td>-66.394377</td>\n",
       "      <td>-70.229631</td>\n",
       "      <td>-70.229631</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>-66.166102</td>\n",
       "      <td>-65.178092</td>\n",
       "      <td>-64.740645</td>\n",
       "      <td>-64.826073</td>\n",
       "      <td>-61.850929</td>\n",
       "      <td>-63.990030</td>\n",
       "      <td>-66.804897</td>\n",
       "      <td>-66.020444</td>\n",
       "      <td>-64.604263</td>\n",
       "      <td>-65.701721</td>\n",
       "      <td>...</td>\n",
       "      <td>-48.220253</td>\n",
       "      <td>-47.565877</td>\n",
       "      <td>-48.008283</td>\n",
       "      <td>-50.184724</td>\n",
       "      <td>-51.803760</td>\n",
       "      <td>-51.938013</td>\n",
       "      <td>-51.970586</td>\n",
       "      <td>-51.551021</td>\n",
       "      <td>-54.941525</td>\n",
       "      <td>-56.443121</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>-65.755877</td>\n",
       "      <td>-65.755877</td>\n",
       "      <td>-65.755877</td>\n",
       "      <td>-65.755877</td>\n",
       "      <td>-65.755877</td>\n",
       "      <td>-65.755877</td>\n",
       "      <td>-65.755877</td>\n",
       "      <td>-65.755877</td>\n",
       "      <td>-65.755877</td>\n",
       "      <td>-65.755877</td>\n",
       "      <td>...</td>\n",
       "      <td>-41.396984</td>\n",
       "      <td>-41.763078</td>\n",
       "      <td>-43.194898</td>\n",
       "      <td>-44.881519</td>\n",
       "      <td>-45.717573</td>\n",
       "      <td>-48.605297</td>\n",
       "      <td>-53.018700</td>\n",
       "      <td>-49.683550</td>\n",
       "      <td>-51.019885</td>\n",
       "      <td>-57.109811</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>-69.051400</td>\n",
       "      <td>-69.051400</td>\n",
       "      <td>-69.051400</td>\n",
       "      <td>-69.051400</td>\n",
       "      <td>-69.051400</td>\n",
       "      <td>-68.754863</td>\n",
       "      <td>-69.051400</td>\n",
       "      <td>-69.051400</td>\n",
       "      <td>-69.051400</td>\n",
       "      <td>-68.359101</td>\n",
       "      <td>...</td>\n",
       "      <td>-59.824621</td>\n",
       "      <td>-57.681647</td>\n",
       "      <td>-56.301264</td>\n",
       "      <td>-58.650128</td>\n",
       "      <td>-63.881082</td>\n",
       "      <td>-63.749409</td>\n",
       "      <td>-65.222466</td>\n",
       "      <td>-65.308242</td>\n",
       "      <td>-67.008563</td>\n",
       "      <td>-68.636299</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>-65.818869</td>\n",
       "      <td>-65.818869</td>\n",
       "      <td>-65.818869</td>\n",
       "      <td>-65.818869</td>\n",
       "      <td>-65.805538</td>\n",
       "      <td>-65.818869</td>\n",
       "      <td>-65.818869</td>\n",
       "      <td>-65.629539</td>\n",
       "      <td>-64.802625</td>\n",
       "      <td>-65.818869</td>\n",
       "      <td>...</td>\n",
       "      <td>-65.818869</td>\n",
       "      <td>-65.818869</td>\n",
       "      <td>-65.818869</td>\n",
       "      <td>-65.818869</td>\n",
       "      <td>-65.438060</td>\n",
       "      <td>-65.684853</td>\n",
       "      <td>-65.818869</td>\n",
       "      <td>-65.818869</td>\n",
       "      <td>-65.818869</td>\n",
       "      <td>-65.818869</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>-69.243253</td>\n",
       "      <td>-69.243253</td>\n",
       "      <td>-69.243253</td>\n",
       "      <td>-69.243253</td>\n",
       "      <td>-68.901972</td>\n",
       "      <td>-67.982999</td>\n",
       "      <td>-68.089201</td>\n",
       "      <td>-67.897329</td>\n",
       "      <td>-65.258010</td>\n",
       "      <td>-67.170980</td>\n",
       "      <td>...</td>\n",
       "      <td>-29.808566</td>\n",
       "      <td>-29.354753</td>\n",
       "      <td>-30.388718</td>\n",
       "      <td>-30.094085</td>\n",
       "      <td>-30.615464</td>\n",
       "      <td>-31.126341</td>\n",
       "      <td>-31.148714</td>\n",
       "      <td>-31.413186</td>\n",
       "      <td>-31.356208</td>\n",
       "      <td>-30.060384</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>-63.311078</td>\n",
       "      <td>-63.072484</td>\n",
       "      <td>-63.412433</td>\n",
       "      <td>-63.796762</td>\n",
       "      <td>-63.581991</td>\n",
       "      <td>-58.921211</td>\n",
       "      <td>-57.955046</td>\n",
       "      <td>-61.224968</td>\n",
       "      <td>-63.782931</td>\n",
       "      <td>-63.796762</td>\n",
       "      <td>...</td>\n",
       "      <td>-59.814756</td>\n",
       "      <td>-62.505021</td>\n",
       "      <td>-59.518870</td>\n",
       "      <td>-60.482347</td>\n",
       "      <td>-58.338576</td>\n",
       "      <td>-58.965295</td>\n",
       "      <td>-63.520669</td>\n",
       "      <td>-63.769352</td>\n",
       "      <td>-63.829853</td>\n",
       "      <td>-62.814244</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>-54.181857</td>\n",
       "      <td>-53.653303</td>\n",
       "      <td>-52.179519</td>\n",
       "      <td>-52.163266</td>\n",
       "      <td>-53.387515</td>\n",
       "      <td>-53.853849</td>\n",
       "      <td>-52.760702</td>\n",
       "      <td>-51.047829</td>\n",
       "      <td>-50.953316</td>\n",
       "      <td>-50.094384</td>\n",
       "      <td>...</td>\n",
       "      <td>-30.440305</td>\n",
       "      <td>-31.906057</td>\n",
       "      <td>-32.806936</td>\n",
       "      <td>-33.447647</td>\n",
       "      <td>-34.668094</td>\n",
       "      <td>-34.520308</td>\n",
       "      <td>-37.190555</td>\n",
       "      <td>-40.918852</td>\n",
       "      <td>-41.119227</td>\n",
       "      <td>-38.409354</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>-63.686438</td>\n",
       "      <td>-63.686438</td>\n",
       "      <td>-63.686438</td>\n",
       "      <td>-63.686438</td>\n",
       "      <td>-63.686438</td>\n",
       "      <td>-63.686438</td>\n",
       "      <td>-63.686438</td>\n",
       "      <td>-63.686438</td>\n",
       "      <td>-63.686438</td>\n",
       "      <td>-63.686438</td>\n",
       "      <td>...</td>\n",
       "      <td>-63.686438</td>\n",
       "      <td>-63.686438</td>\n",
       "      <td>-63.686438</td>\n",
       "      <td>-63.686438</td>\n",
       "      <td>-63.686438</td>\n",
       "      <td>-63.686438</td>\n",
       "      <td>-63.686438</td>\n",
       "      <td>-63.686438</td>\n",
       "      <td>-63.686438</td>\n",
       "      <td>-63.686438</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>-58.389652</td>\n",
       "      <td>-58.389652</td>\n",
       "      <td>-58.389652</td>\n",
       "      <td>-58.389652</td>\n",
       "      <td>-58.389652</td>\n",
       "      <td>-58.389652</td>\n",
       "      <td>-58.389652</td>\n",
       "      <td>-58.389652</td>\n",
       "      <td>-58.389652</td>\n",
       "      <td>-58.389652</td>\n",
       "      <td>...</td>\n",
       "      <td>-58.389652</td>\n",
       "      <td>-58.389652</td>\n",
       "      <td>-58.389652</td>\n",
       "      <td>-57.649487</td>\n",
       "      <td>-58.025433</td>\n",
       "      <td>-58.389652</td>\n",
       "      <td>-58.389652</td>\n",
       "      <td>-58.389652</td>\n",
       "      <td>-58.389652</td>\n",
       "      <td>-58.389652</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1207</th>\n",
       "      <td>-67.128017</td>\n",
       "      <td>-67.128017</td>\n",
       "      <td>-67.128017</td>\n",
       "      <td>-67.128017</td>\n",
       "      <td>-67.128017</td>\n",
       "      <td>-67.128017</td>\n",
       "      <td>-67.128017</td>\n",
       "      <td>-67.128017</td>\n",
       "      <td>-67.128017</td>\n",
       "      <td>-67.128017</td>\n",
       "      <td>...</td>\n",
       "      <td>-49.989319</td>\n",
       "      <td>-52.192277</td>\n",
       "      <td>-53.082673</td>\n",
       "      <td>-54.695262</td>\n",
       "      <td>-52.384729</td>\n",
       "      <td>-53.175544</td>\n",
       "      <td>-54.981104</td>\n",
       "      <td>-54.078131</td>\n",
       "      <td>-54.207101</td>\n",
       "      <td>-56.474811</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1208</th>\n",
       "      <td>-59.699105</td>\n",
       "      <td>-59.587370</td>\n",
       "      <td>-59.571284</td>\n",
       "      <td>-59.328462</td>\n",
       "      <td>-59.369630</td>\n",
       "      <td>-59.321506</td>\n",
       "      <td>-59.319399</td>\n",
       "      <td>-59.590825</td>\n",
       "      <td>-59.591379</td>\n",
       "      <td>-59.675603</td>\n",
       "      <td>...</td>\n",
       "      <td>-35.083652</td>\n",
       "      <td>-34.058435</td>\n",
       "      <td>-34.644343</td>\n",
       "      <td>-34.442063</td>\n",
       "      <td>-36.707547</td>\n",
       "      <td>-41.146307</td>\n",
       "      <td>-43.172390</td>\n",
       "      <td>-42.835244</td>\n",
       "      <td>-46.150078</td>\n",
       "      <td>-45.851973</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1209</th>\n",
       "      <td>-54.677157</td>\n",
       "      <td>-54.677157</td>\n",
       "      <td>-54.677157</td>\n",
       "      <td>-54.677157</td>\n",
       "      <td>-54.677157</td>\n",
       "      <td>-54.677157</td>\n",
       "      <td>-54.677157</td>\n",
       "      <td>-54.677157</td>\n",
       "      <td>-54.677157</td>\n",
       "      <td>-54.677157</td>\n",
       "      <td>...</td>\n",
       "      <td>-38.598323</td>\n",
       "      <td>-38.009244</td>\n",
       "      <td>-40.035804</td>\n",
       "      <td>-39.657108</td>\n",
       "      <td>-40.550019</td>\n",
       "      <td>-43.559956</td>\n",
       "      <td>-45.444457</td>\n",
       "      <td>-46.496016</td>\n",
       "      <td>-46.470699</td>\n",
       "      <td>-47.322224</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1210</th>\n",
       "      <td>-59.849780</td>\n",
       "      <td>-59.849780</td>\n",
       "      <td>-59.849780</td>\n",
       "      <td>-59.849780</td>\n",
       "      <td>-59.849780</td>\n",
       "      <td>-59.849780</td>\n",
       "      <td>-59.849780</td>\n",
       "      <td>-59.849780</td>\n",
       "      <td>-59.863135</td>\n",
       "      <td>-60.327359</td>\n",
       "      <td>...</td>\n",
       "      <td>-59.395951</td>\n",
       "      <td>-58.885912</td>\n",
       "      <td>-59.354939</td>\n",
       "      <td>-59.807379</td>\n",
       "      <td>-59.775160</td>\n",
       "      <td>-58.808937</td>\n",
       "      <td>-57.853232</td>\n",
       "      <td>-58.398109</td>\n",
       "      <td>-59.114060</td>\n",
       "      <td>-58.564454</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1211</th>\n",
       "      <td>-54.897441</td>\n",
       "      <td>-55.061032</td>\n",
       "      <td>-54.983695</td>\n",
       "      <td>-55.102022</td>\n",
       "      <td>-55.289954</td>\n",
       "      <td>-55.346702</td>\n",
       "      <td>-55.382404</td>\n",
       "      <td>-55.439658</td>\n",
       "      <td>-55.337597</td>\n",
       "      <td>-54.012888</td>\n",
       "      <td>...</td>\n",
       "      <td>-33.921105</td>\n",
       "      <td>-35.287239</td>\n",
       "      <td>-39.428942</td>\n",
       "      <td>-41.273553</td>\n",
       "      <td>-40.047037</td>\n",
       "      <td>-40.112812</td>\n",
       "      <td>-43.898186</td>\n",
       "      <td>-46.512260</td>\n",
       "      <td>-45.556203</td>\n",
       "      <td>-43.528693</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1212</th>\n",
       "      <td>-44.552925</td>\n",
       "      <td>-44.552925</td>\n",
       "      <td>-44.552925</td>\n",
       "      <td>-44.552925</td>\n",
       "      <td>-44.552925</td>\n",
       "      <td>-44.552925</td>\n",
       "      <td>-44.552925</td>\n",
       "      <td>-44.552925</td>\n",
       "      <td>-44.552925</td>\n",
       "      <td>-44.552925</td>\n",
       "      <td>...</td>\n",
       "      <td>-43.782118</td>\n",
       "      <td>-38.175252</td>\n",
       "      <td>-37.902636</td>\n",
       "      <td>-40.407236</td>\n",
       "      <td>-40.815793</td>\n",
       "      <td>-41.241603</td>\n",
       "      <td>-41.736607</td>\n",
       "      <td>-43.396698</td>\n",
       "      <td>-42.237670</td>\n",
       "      <td>-41.635098</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1213</th>\n",
       "      <td>-48.668418</td>\n",
       "      <td>-45.720402</td>\n",
       "      <td>-46.046837</td>\n",
       "      <td>-46.525805</td>\n",
       "      <td>-47.946480</td>\n",
       "      <td>-44.790188</td>\n",
       "      <td>-43.489744</td>\n",
       "      <td>-46.490625</td>\n",
       "      <td>-50.799665</td>\n",
       "      <td>-50.240377</td>\n",
       "      <td>...</td>\n",
       "      <td>-43.185244</td>\n",
       "      <td>-45.281609</td>\n",
       "      <td>-48.504020</td>\n",
       "      <td>-50.357992</td>\n",
       "      <td>-44.687362</td>\n",
       "      <td>-43.194414</td>\n",
       "      <td>-46.666642</td>\n",
       "      <td>-50.128142</td>\n",
       "      <td>-50.941980</td>\n",
       "      <td>-50.317816</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1214</th>\n",
       "      <td>-57.332370</td>\n",
       "      <td>-57.332370</td>\n",
       "      <td>-57.332370</td>\n",
       "      <td>-57.332370</td>\n",
       "      <td>-57.332370</td>\n",
       "      <td>-57.332370</td>\n",
       "      <td>-57.332370</td>\n",
       "      <td>-57.332370</td>\n",
       "      <td>-57.332370</td>\n",
       "      <td>-57.332370</td>\n",
       "      <td>...</td>\n",
       "      <td>-56.290172</td>\n",
       "      <td>-56.565868</td>\n",
       "      <td>-57.332370</td>\n",
       "      <td>-56.719102</td>\n",
       "      <td>-56.908147</td>\n",
       "      <td>-56.898329</td>\n",
       "      <td>-57.050586</td>\n",
       "      <td>-57.332370</td>\n",
       "      <td>-57.262080</td>\n",
       "      <td>-57.332370</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1215</th>\n",
       "      <td>-56.079682</td>\n",
       "      <td>-56.079682</td>\n",
       "      <td>-56.079682</td>\n",
       "      <td>-56.079682</td>\n",
       "      <td>-56.079682</td>\n",
       "      <td>-56.109858</td>\n",
       "      <td>-56.402303</td>\n",
       "      <td>-55.341964</td>\n",
       "      <td>-55.211303</td>\n",
       "      <td>-56.189707</td>\n",
       "      <td>...</td>\n",
       "      <td>-45.134884</td>\n",
       "      <td>-45.765619</td>\n",
       "      <td>-45.138881</td>\n",
       "      <td>-45.866570</td>\n",
       "      <td>-44.450824</td>\n",
       "      <td>-45.075534</td>\n",
       "      <td>-47.864657</td>\n",
       "      <td>-49.669654</td>\n",
       "      <td>-52.591634</td>\n",
       "      <td>-54.877643</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1216</th>\n",
       "      <td>-64.678723</td>\n",
       "      <td>-64.678723</td>\n",
       "      <td>-64.678723</td>\n",
       "      <td>-64.678723</td>\n",
       "      <td>-64.678723</td>\n",
       "      <td>-64.678723</td>\n",
       "      <td>-64.678723</td>\n",
       "      <td>-64.678723</td>\n",
       "      <td>-64.678723</td>\n",
       "      <td>-64.678723</td>\n",
       "      <td>...</td>\n",
       "      <td>-60.835003</td>\n",
       "      <td>-61.665689</td>\n",
       "      <td>-61.047234</td>\n",
       "      <td>-59.299474</td>\n",
       "      <td>-60.432158</td>\n",
       "      <td>-62.515880</td>\n",
       "      <td>-64.088474</td>\n",
       "      <td>-64.658195</td>\n",
       "      <td>-64.604102</td>\n",
       "      <td>-64.560031</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1217</th>\n",
       "      <td>-65.562365</td>\n",
       "      <td>-65.562365</td>\n",
       "      <td>-65.562365</td>\n",
       "      <td>-65.562365</td>\n",
       "      <td>-65.562365</td>\n",
       "      <td>-65.562365</td>\n",
       "      <td>-65.562365</td>\n",
       "      <td>-65.562365</td>\n",
       "      <td>-65.562365</td>\n",
       "      <td>-65.562365</td>\n",
       "      <td>...</td>\n",
       "      <td>-59.220376</td>\n",
       "      <td>-61.889744</td>\n",
       "      <td>-61.001034</td>\n",
       "      <td>-61.759804</td>\n",
       "      <td>-62.241800</td>\n",
       "      <td>-62.069901</td>\n",
       "      <td>-61.062766</td>\n",
       "      <td>-58.563208</td>\n",
       "      <td>-60.640275</td>\n",
       "      <td>-63.574741</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1218</th>\n",
       "      <td>-66.807157</td>\n",
       "      <td>-67.642669</td>\n",
       "      <td>-67.920088</td>\n",
       "      <td>-68.177969</td>\n",
       "      <td>-67.961404</td>\n",
       "      <td>-67.855784</td>\n",
       "      <td>-68.056359</td>\n",
       "      <td>-67.975604</td>\n",
       "      <td>-67.535529</td>\n",
       "      <td>-67.833166</td>\n",
       "      <td>...</td>\n",
       "      <td>-59.862302</td>\n",
       "      <td>-58.913939</td>\n",
       "      <td>-57.802619</td>\n",
       "      <td>-59.957985</td>\n",
       "      <td>-62.548852</td>\n",
       "      <td>-66.173967</td>\n",
       "      <td>-64.493243</td>\n",
       "      <td>-62.488814</td>\n",
       "      <td>-63.460311</td>\n",
       "      <td>-64.412657</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1219</th>\n",
       "      <td>-65.356763</td>\n",
       "      <td>-65.356763</td>\n",
       "      <td>-65.356763</td>\n",
       "      <td>-65.356763</td>\n",
       "      <td>-65.356763</td>\n",
       "      <td>-65.356763</td>\n",
       "      <td>-65.356763</td>\n",
       "      <td>-65.356763</td>\n",
       "      <td>-65.356763</td>\n",
       "      <td>-65.356763</td>\n",
       "      <td>...</td>\n",
       "      <td>-60.025150</td>\n",
       "      <td>-57.523709</td>\n",
       "      <td>-56.629023</td>\n",
       "      <td>-57.543099</td>\n",
       "      <td>-58.982573</td>\n",
       "      <td>-57.795045</td>\n",
       "      <td>-57.904399</td>\n",
       "      <td>-58.457920</td>\n",
       "      <td>-60.506432</td>\n",
       "      <td>-59.845687</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1220</th>\n",
       "      <td>-45.194876</td>\n",
       "      <td>-45.194876</td>\n",
       "      <td>-45.194876</td>\n",
       "      <td>-45.194876</td>\n",
       "      <td>-45.194876</td>\n",
       "      <td>-45.194876</td>\n",
       "      <td>-45.194876</td>\n",
       "      <td>-45.194876</td>\n",
       "      <td>-45.194876</td>\n",
       "      <td>-45.194876</td>\n",
       "      <td>...</td>\n",
       "      <td>-45.120444</td>\n",
       "      <td>-45.666244</td>\n",
       "      <td>-45.259188</td>\n",
       "      <td>-45.147653</td>\n",
       "      <td>-45.233620</td>\n",
       "      <td>-45.194876</td>\n",
       "      <td>-45.194876</td>\n",
       "      <td>-45.194876</td>\n",
       "      <td>-45.194876</td>\n",
       "      <td>-45.194876</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1221</th>\n",
       "      <td>-52.044049</td>\n",
       "      <td>-52.044049</td>\n",
       "      <td>-52.044049</td>\n",
       "      <td>-52.044049</td>\n",
       "      <td>-52.044049</td>\n",
       "      <td>-52.044049</td>\n",
       "      <td>-52.044049</td>\n",
       "      <td>-52.044049</td>\n",
       "      <td>-52.044049</td>\n",
       "      <td>-52.044049</td>\n",
       "      <td>...</td>\n",
       "      <td>-51.649853</td>\n",
       "      <td>-51.989357</td>\n",
       "      <td>-52.044049</td>\n",
       "      <td>-52.044049</td>\n",
       "      <td>-52.044049</td>\n",
       "      <td>-52.044049</td>\n",
       "      <td>-52.044049</td>\n",
       "      <td>-52.044049</td>\n",
       "      <td>-52.044049</td>\n",
       "      <td>-52.044049</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1222</th>\n",
       "      <td>-58.988811</td>\n",
       "      <td>-58.988811</td>\n",
       "      <td>-60.665468</td>\n",
       "      <td>-60.689583</td>\n",
       "      <td>-59.735563</td>\n",
       "      <td>-60.501480</td>\n",
       "      <td>-60.420515</td>\n",
       "      <td>-59.816253</td>\n",
       "      <td>-60.189272</td>\n",
       "      <td>-60.110914</td>\n",
       "      <td>...</td>\n",
       "      <td>-58.988811</td>\n",
       "      <td>-58.988811</td>\n",
       "      <td>-58.988811</td>\n",
       "      <td>-58.916401</td>\n",
       "      <td>-58.988811</td>\n",
       "      <td>-58.988811</td>\n",
       "      <td>-58.988811</td>\n",
       "      <td>-58.988811</td>\n",
       "      <td>-58.988811</td>\n",
       "      <td>-58.988811</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1223</th>\n",
       "      <td>-56.940813</td>\n",
       "      <td>-56.940813</td>\n",
       "      <td>-56.940813</td>\n",
       "      <td>-56.940813</td>\n",
       "      <td>-56.940813</td>\n",
       "      <td>-56.943359</td>\n",
       "      <td>-57.077028</td>\n",
       "      <td>-56.940813</td>\n",
       "      <td>-56.940813</td>\n",
       "      <td>-57.228633</td>\n",
       "      <td>...</td>\n",
       "      <td>-43.485592</td>\n",
       "      <td>-42.686466</td>\n",
       "      <td>-44.226132</td>\n",
       "      <td>-44.101891</td>\n",
       "      <td>-43.651345</td>\n",
       "      <td>-45.493498</td>\n",
       "      <td>-47.759692</td>\n",
       "      <td>-50.536515</td>\n",
       "      <td>-51.336391</td>\n",
       "      <td>-50.690862</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1224</th>\n",
       "      <td>-63.942344</td>\n",
       "      <td>-63.942344</td>\n",
       "      <td>-63.942344</td>\n",
       "      <td>-63.942344</td>\n",
       "      <td>-63.942344</td>\n",
       "      <td>-63.942344</td>\n",
       "      <td>-63.942344</td>\n",
       "      <td>-63.942344</td>\n",
       "      <td>-63.942344</td>\n",
       "      <td>-63.942344</td>\n",
       "      <td>...</td>\n",
       "      <td>-61.936769</td>\n",
       "      <td>-61.957350</td>\n",
       "      <td>-63.942344</td>\n",
       "      <td>-63.942344</td>\n",
       "      <td>-63.942344</td>\n",
       "      <td>-63.933362</td>\n",
       "      <td>-63.799121</td>\n",
       "      <td>-63.616188</td>\n",
       "      <td>-63.476149</td>\n",
       "      <td>-63.391090</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1225</th>\n",
       "      <td>-71.407071</td>\n",
       "      <td>-71.407071</td>\n",
       "      <td>-71.407071</td>\n",
       "      <td>-71.407071</td>\n",
       "      <td>-71.407071</td>\n",
       "      <td>-71.407071</td>\n",
       "      <td>-71.407071</td>\n",
       "      <td>-71.407071</td>\n",
       "      <td>-71.407071</td>\n",
       "      <td>-71.407071</td>\n",
       "      <td>...</td>\n",
       "      <td>-64.210706</td>\n",
       "      <td>-64.321623</td>\n",
       "      <td>-66.922372</td>\n",
       "      <td>-70.591707</td>\n",
       "      <td>-69.530834</td>\n",
       "      <td>-66.970003</td>\n",
       "      <td>-66.873352</td>\n",
       "      <td>-68.084319</td>\n",
       "      <td>-70.437988</td>\n",
       "      <td>-70.868711</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1226</th>\n",
       "      <td>-64.968548</td>\n",
       "      <td>-64.968548</td>\n",
       "      <td>-64.968548</td>\n",
       "      <td>-64.968548</td>\n",
       "      <td>-64.968548</td>\n",
       "      <td>-64.968548</td>\n",
       "      <td>-64.968548</td>\n",
       "      <td>-64.968548</td>\n",
       "      <td>-64.968548</td>\n",
       "      <td>-67.252646</td>\n",
       "      <td>...</td>\n",
       "      <td>-64.832551</td>\n",
       "      <td>-64.678076</td>\n",
       "      <td>-64.360786</td>\n",
       "      <td>-64.642809</td>\n",
       "      <td>-62.274782</td>\n",
       "      <td>-62.417866</td>\n",
       "      <td>-63.560128</td>\n",
       "      <td>-63.105106</td>\n",
       "      <td>-63.359077</td>\n",
       "      <td>-63.284678</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1227</th>\n",
       "      <td>-55.767393</td>\n",
       "      <td>-55.767393</td>\n",
       "      <td>-55.767393</td>\n",
       "      <td>-55.767393</td>\n",
       "      <td>-55.767393</td>\n",
       "      <td>-55.767393</td>\n",
       "      <td>-55.767393</td>\n",
       "      <td>-55.767393</td>\n",
       "      <td>-55.767393</td>\n",
       "      <td>-55.767393</td>\n",
       "      <td>...</td>\n",
       "      <td>-36.255997</td>\n",
       "      <td>-36.569010</td>\n",
       "      <td>-36.725955</td>\n",
       "      <td>-38.104478</td>\n",
       "      <td>-38.821533</td>\n",
       "      <td>-38.295397</td>\n",
       "      <td>-36.559404</td>\n",
       "      <td>-36.244597</td>\n",
       "      <td>-35.140083</td>\n",
       "      <td>-32.330563</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1228</th>\n",
       "      <td>-74.012896</td>\n",
       "      <td>-73.948519</td>\n",
       "      <td>-73.379063</td>\n",
       "      <td>-71.428494</td>\n",
       "      <td>-72.432060</td>\n",
       "      <td>-74.236830</td>\n",
       "      <td>-73.548430</td>\n",
       "      <td>-71.061247</td>\n",
       "      <td>-71.375159</td>\n",
       "      <td>-73.176079</td>\n",
       "      <td>...</td>\n",
       "      <td>-45.162116</td>\n",
       "      <td>-47.070428</td>\n",
       "      <td>-48.173410</td>\n",
       "      <td>-49.330655</td>\n",
       "      <td>-51.711174</td>\n",
       "      <td>-52.365458</td>\n",
       "      <td>-54.464719</td>\n",
       "      <td>-56.410372</td>\n",
       "      <td>-56.113212</td>\n",
       "      <td>-54.474242</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1229</th>\n",
       "      <td>-64.793803</td>\n",
       "      <td>-64.793803</td>\n",
       "      <td>-64.793803</td>\n",
       "      <td>-65.559996</td>\n",
       "      <td>-65.851749</td>\n",
       "      <td>-65.446570</td>\n",
       "      <td>-66.626091</td>\n",
       "      <td>-66.020631</td>\n",
       "      <td>-66.533440</td>\n",
       "      <td>-64.211415</td>\n",
       "      <td>...</td>\n",
       "      <td>-58.620567</td>\n",
       "      <td>-60.016013</td>\n",
       "      <td>-61.026796</td>\n",
       "      <td>-61.306973</td>\n",
       "      <td>-61.006645</td>\n",
       "      <td>-60.669009</td>\n",
       "      <td>-62.031732</td>\n",
       "      <td>-64.399412</td>\n",
       "      <td>-64.815625</td>\n",
       "      <td>-64.799419</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1230</th>\n",
       "      <td>-64.448001</td>\n",
       "      <td>-64.448001</td>\n",
       "      <td>-64.448001</td>\n",
       "      <td>-64.247894</td>\n",
       "      <td>-63.931406</td>\n",
       "      <td>-64.395909</td>\n",
       "      <td>-64.448001</td>\n",
       "      <td>-64.448001</td>\n",
       "      <td>-64.448001</td>\n",
       "      <td>-64.244446</td>\n",
       "      <td>...</td>\n",
       "      <td>-46.602849</td>\n",
       "      <td>-45.155677</td>\n",
       "      <td>-46.213197</td>\n",
       "      <td>-48.122823</td>\n",
       "      <td>-45.521263</td>\n",
       "      <td>-45.774197</td>\n",
       "      <td>-49.803602</td>\n",
       "      <td>-51.963733</td>\n",
       "      <td>-52.965988</td>\n",
       "      <td>-52.242500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1231</th>\n",
       "      <td>-52.388832</td>\n",
       "      <td>-52.388832</td>\n",
       "      <td>-52.388832</td>\n",
       "      <td>-52.388832</td>\n",
       "      <td>-54.024092</td>\n",
       "      <td>-54.198564</td>\n",
       "      <td>-53.286076</td>\n",
       "      <td>-52.388832</td>\n",
       "      <td>-52.388832</td>\n",
       "      <td>-52.399767</td>\n",
       "      <td>...</td>\n",
       "      <td>-44.453112</td>\n",
       "      <td>-44.524053</td>\n",
       "      <td>-46.362766</td>\n",
       "      <td>-46.383047</td>\n",
       "      <td>-47.492377</td>\n",
       "      <td>-51.348980</td>\n",
       "      <td>-51.252681</td>\n",
       "      <td>-50.509345</td>\n",
       "      <td>-49.606151</td>\n",
       "      <td>-47.599135</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1232</th>\n",
       "      <td>-69.567537</td>\n",
       "      <td>-69.567537</td>\n",
       "      <td>-69.567537</td>\n",
       "      <td>-69.567537</td>\n",
       "      <td>-69.567537</td>\n",
       "      <td>-69.567537</td>\n",
       "      <td>-69.567537</td>\n",
       "      <td>-69.567537</td>\n",
       "      <td>-69.567537</td>\n",
       "      <td>-69.567537</td>\n",
       "      <td>...</td>\n",
       "      <td>-40.807244</td>\n",
       "      <td>-43.286208</td>\n",
       "      <td>-43.042348</td>\n",
       "      <td>-42.400162</td>\n",
       "      <td>-42.409806</td>\n",
       "      <td>-41.685644</td>\n",
       "      <td>-41.405289</td>\n",
       "      <td>-42.035714</td>\n",
       "      <td>-40.774790</td>\n",
       "      <td>-38.137740</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1233</th>\n",
       "      <td>-55.897192</td>\n",
       "      <td>-55.845639</td>\n",
       "      <td>-55.693414</td>\n",
       "      <td>-55.669094</td>\n",
       "      <td>-55.983359</td>\n",
       "      <td>-56.143512</td>\n",
       "      <td>-56.128047</td>\n",
       "      <td>-55.966648</td>\n",
       "      <td>-55.947412</td>\n",
       "      <td>-55.989351</td>\n",
       "      <td>...</td>\n",
       "      <td>-24.167525</td>\n",
       "      <td>-25.450151</td>\n",
       "      <td>-26.664525</td>\n",
       "      <td>-28.591213</td>\n",
       "      <td>-29.936010</td>\n",
       "      <td>-29.608872</td>\n",
       "      <td>-31.826348</td>\n",
       "      <td>-36.193416</td>\n",
       "      <td>-37.252570</td>\n",
       "      <td>-37.633020</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1234</th>\n",
       "      <td>-53.054884</td>\n",
       "      <td>-53.054884</td>\n",
       "      <td>-53.054884</td>\n",
       "      <td>-53.054884</td>\n",
       "      <td>-53.054884</td>\n",
       "      <td>-53.054884</td>\n",
       "      <td>-53.054884</td>\n",
       "      <td>-53.054884</td>\n",
       "      <td>-53.054884</td>\n",
       "      <td>-53.054884</td>\n",
       "      <td>...</td>\n",
       "      <td>-51.727804</td>\n",
       "      <td>-50.203255</td>\n",
       "      <td>-49.621696</td>\n",
       "      <td>-52.275230</td>\n",
       "      <td>-51.447833</td>\n",
       "      <td>-51.883657</td>\n",
       "      <td>-52.533490</td>\n",
       "      <td>-50.991376</td>\n",
       "      <td>-48.410666</td>\n",
       "      <td>-47.317401</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1235</th>\n",
       "      <td>-64.206723</td>\n",
       "      <td>-64.206723</td>\n",
       "      <td>-64.206723</td>\n",
       "      <td>-64.206723</td>\n",
       "      <td>-64.206723</td>\n",
       "      <td>-64.206723</td>\n",
       "      <td>-64.206723</td>\n",
       "      <td>-64.206723</td>\n",
       "      <td>-64.206723</td>\n",
       "      <td>-64.206723</td>\n",
       "      <td>...</td>\n",
       "      <td>-56.091409</td>\n",
       "      <td>-59.251821</td>\n",
       "      <td>-58.833817</td>\n",
       "      <td>-57.978339</td>\n",
       "      <td>-61.298153</td>\n",
       "      <td>-58.773552</td>\n",
       "      <td>-60.140413</td>\n",
       "      <td>-63.886547</td>\n",
       "      <td>-63.014960</td>\n",
       "      <td>-63.745278</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1236</th>\n",
       "      <td>-55.255136</td>\n",
       "      <td>-55.255136</td>\n",
       "      <td>-55.186653</td>\n",
       "      <td>-55.345294</td>\n",
       "      <td>-55.053389</td>\n",
       "      <td>-53.088172</td>\n",
       "      <td>-52.199923</td>\n",
       "      <td>-52.218305</td>\n",
       "      <td>-52.633871</td>\n",
       "      <td>-51.629967</td>\n",
       "      <td>...</td>\n",
       "      <td>-47.927133</td>\n",
       "      <td>-50.145131</td>\n",
       "      <td>-48.712166</td>\n",
       "      <td>-47.603032</td>\n",
       "      <td>-45.205415</td>\n",
       "      <td>-44.438685</td>\n",
       "      <td>-48.720497</td>\n",
       "      <td>-50.850345</td>\n",
       "      <td>-50.327162</td>\n",
       "      <td>-48.915758</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1237 rows × 216 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "            0          1          2          3          4          5    \\\n",
       "0    -61.862374 -61.862374 -61.862374 -61.862374 -61.862374 -61.862374   \n",
       "1    -61.508001 -61.508001 -61.508001 -61.508001 -61.508001 -61.508001   \n",
       "2    -55.663086 -56.170336 -56.157848 -54.663471 -55.166778 -56.156944   \n",
       "3    -63.523530 -63.523530 -63.523530 -63.523530 -63.523530 -63.377373   \n",
       "4    -54.985143 -54.914563 -54.937813 -56.227640 -56.685268 -57.022505   \n",
       "5    -67.736151 -67.778018 -66.746144 -65.957883 -67.736151 -67.736151   \n",
       "6    -61.560626 -61.560626 -61.560626 -61.560626 -61.560626 -61.560626   \n",
       "7    -57.414988 -57.414988 -57.414988 -57.414988 -57.414988 -57.414988   \n",
       "8    -60.369038 -60.083715 -60.978925 -60.952456 -60.982486 -60.983948   \n",
       "9    -73.841370 -73.841370 -73.841370 -73.719655 -73.841370 -73.841370   \n",
       "10   -66.058485 -66.058485 -66.058485 -66.058485 -66.058485 -66.058485   \n",
       "11   -69.673289 -69.693311 -69.693311 -69.693311 -69.693311 -69.693311   \n",
       "12   -58.731007 -58.746531 -58.048578 -57.370804 -58.199914 -59.706633   \n",
       "13   -65.427316 -65.427316 -65.261778 -65.427316 -65.427316 -65.427316   \n",
       "14   -70.746514 -70.746514 -70.025286 -69.131263 -70.746514 -70.746514   \n",
       "15   -65.800971 -65.800971 -65.800971 -65.800971 -65.800971 -65.800971   \n",
       "16   -56.872732 -56.872732 -56.872732 -56.872732 -56.872732 -56.872732   \n",
       "17   -45.030752 -46.782718 -47.775523 -45.638217 -45.101453 -48.043098   \n",
       "18   -55.623820 -55.623820 -55.570382 -53.938661 -52.901043 -54.380761   \n",
       "19   -37.497485 -40.120203 -41.299181 -42.205225 -42.010662 -42.347005   \n",
       "20   -70.229631 -70.229631 -70.229631 -70.229631 -70.229631 -70.229631   \n",
       "21   -66.166102 -65.178092 -64.740645 -64.826073 -61.850929 -63.990030   \n",
       "22   -65.755877 -65.755877 -65.755877 -65.755877 -65.755877 -65.755877   \n",
       "23   -69.051400 -69.051400 -69.051400 -69.051400 -69.051400 -68.754863   \n",
       "24   -65.818869 -65.818869 -65.818869 -65.818869 -65.805538 -65.818869   \n",
       "25   -69.243253 -69.243253 -69.243253 -69.243253 -68.901972 -67.982999   \n",
       "26   -63.311078 -63.072484 -63.412433 -63.796762 -63.581991 -58.921211   \n",
       "27   -54.181857 -53.653303 -52.179519 -52.163266 -53.387515 -53.853849   \n",
       "28   -63.686438 -63.686438 -63.686438 -63.686438 -63.686438 -63.686438   \n",
       "29   -58.389652 -58.389652 -58.389652 -58.389652 -58.389652 -58.389652   \n",
       "...         ...        ...        ...        ...        ...        ...   \n",
       "1207 -67.128017 -67.128017 -67.128017 -67.128017 -67.128017 -67.128017   \n",
       "1208 -59.699105 -59.587370 -59.571284 -59.328462 -59.369630 -59.321506   \n",
       "1209 -54.677157 -54.677157 -54.677157 -54.677157 -54.677157 -54.677157   \n",
       "1210 -59.849780 -59.849780 -59.849780 -59.849780 -59.849780 -59.849780   \n",
       "1211 -54.897441 -55.061032 -54.983695 -55.102022 -55.289954 -55.346702   \n",
       "1212 -44.552925 -44.552925 -44.552925 -44.552925 -44.552925 -44.552925   \n",
       "1213 -48.668418 -45.720402 -46.046837 -46.525805 -47.946480 -44.790188   \n",
       "1214 -57.332370 -57.332370 -57.332370 -57.332370 -57.332370 -57.332370   \n",
       "1215 -56.079682 -56.079682 -56.079682 -56.079682 -56.079682 -56.109858   \n",
       "1216 -64.678723 -64.678723 -64.678723 -64.678723 -64.678723 -64.678723   \n",
       "1217 -65.562365 -65.562365 -65.562365 -65.562365 -65.562365 -65.562365   \n",
       "1218 -66.807157 -67.642669 -67.920088 -68.177969 -67.961404 -67.855784   \n",
       "1219 -65.356763 -65.356763 -65.356763 -65.356763 -65.356763 -65.356763   \n",
       "1220 -45.194876 -45.194876 -45.194876 -45.194876 -45.194876 -45.194876   \n",
       "1221 -52.044049 -52.044049 -52.044049 -52.044049 -52.044049 -52.044049   \n",
       "1222 -58.988811 -58.988811 -60.665468 -60.689583 -59.735563 -60.501480   \n",
       "1223 -56.940813 -56.940813 -56.940813 -56.940813 -56.940813 -56.943359   \n",
       "1224 -63.942344 -63.942344 -63.942344 -63.942344 -63.942344 -63.942344   \n",
       "1225 -71.407071 -71.407071 -71.407071 -71.407071 -71.407071 -71.407071   \n",
       "1226 -64.968548 -64.968548 -64.968548 -64.968548 -64.968548 -64.968548   \n",
       "1227 -55.767393 -55.767393 -55.767393 -55.767393 -55.767393 -55.767393   \n",
       "1228 -74.012896 -73.948519 -73.379063 -71.428494 -72.432060 -74.236830   \n",
       "1229 -64.793803 -64.793803 -64.793803 -65.559996 -65.851749 -65.446570   \n",
       "1230 -64.448001 -64.448001 -64.448001 -64.247894 -63.931406 -64.395909   \n",
       "1231 -52.388832 -52.388832 -52.388832 -52.388832 -54.024092 -54.198564   \n",
       "1232 -69.567537 -69.567537 -69.567537 -69.567537 -69.567537 -69.567537   \n",
       "1233 -55.897192 -55.845639 -55.693414 -55.669094 -55.983359 -56.143512   \n",
       "1234 -53.054884 -53.054884 -53.054884 -53.054884 -53.054884 -53.054884   \n",
       "1235 -64.206723 -64.206723 -64.206723 -64.206723 -64.206723 -64.206723   \n",
       "1236 -55.255136 -55.255136 -55.186653 -55.345294 -55.053389 -53.088172   \n",
       "\n",
       "            6          7          8          9      ...            206  \\\n",
       "0    -61.862374 -61.862374 -61.862374 -61.862374    ...     -61.862374   \n",
       "1    -61.508001 -61.508001 -61.508001 -61.508001    ...     -61.508001   \n",
       "2    -56.156944 -56.156944 -56.156944 -56.156944    ...     -55.155076   \n",
       "3    -61.595853 -63.160227 -63.523530 -63.523530    ...     -39.336517   \n",
       "4    -58.089938 -58.376127 -58.420398 -56.623606    ...     -41.046524   \n",
       "5    -67.736151 -67.258683 -67.736151 -67.736151    ...     -61.192877   \n",
       "6    -61.560626 -61.560626 -61.560626 -61.560626    ...     -55.407579   \n",
       "7    -57.414988 -57.414988 -57.414988 -57.414988    ...     -27.840106   \n",
       "8    -60.981255 -60.981255 -60.981255 -60.249618    ...     -48.786174   \n",
       "9    -73.841370 -73.303635 -72.806811 -73.841370    ...     -51.629344   \n",
       "10   -66.058485 -66.058485 -66.058485 -66.058485    ...     -57.539617   \n",
       "11   -69.693311 -69.620774 -69.693311 -68.906572    ...     -61.967161   \n",
       "12   -59.876183 -59.998060 -59.936650 -60.248568    ...     -54.060476   \n",
       "13   -65.027579 -65.404326 -65.427316 -58.999030    ...     -59.589138   \n",
       "14   -70.746514 -70.746514 -70.746514 -70.746514    ...     -30.967125   \n",
       "15   -65.800971 -65.800971 -65.800971 -65.800971    ...     -58.299903   \n",
       "16   -56.872732 -56.872732 -56.872732 -56.872732    ...     -52.086101   \n",
       "17   -48.737015 -48.716680 -49.198881 -49.100113    ...     -55.137522   \n",
       "18   -54.381170 -55.478573 -55.612238 -55.888784    ...     -33.353605   \n",
       "19   -41.992263 -40.100020 -38.743483 -38.762679    ...     -23.044164   \n",
       "20   -70.229631 -70.229631 -70.229631 -70.229631    ...     -70.229631   \n",
       "21   -66.804897 -66.020444 -64.604263 -65.701721    ...     -48.220253   \n",
       "22   -65.755877 -65.755877 -65.755877 -65.755877    ...     -41.396984   \n",
       "23   -69.051400 -69.051400 -69.051400 -68.359101    ...     -59.824621   \n",
       "24   -65.818869 -65.629539 -64.802625 -65.818869    ...     -65.818869   \n",
       "25   -68.089201 -67.897329 -65.258010 -67.170980    ...     -29.808566   \n",
       "26   -57.955046 -61.224968 -63.782931 -63.796762    ...     -59.814756   \n",
       "27   -52.760702 -51.047829 -50.953316 -50.094384    ...     -30.440305   \n",
       "28   -63.686438 -63.686438 -63.686438 -63.686438    ...     -63.686438   \n",
       "29   -58.389652 -58.389652 -58.389652 -58.389652    ...     -58.389652   \n",
       "...         ...        ...        ...        ...    ...            ...   \n",
       "1207 -67.128017 -67.128017 -67.128017 -67.128017    ...     -49.989319   \n",
       "1208 -59.319399 -59.590825 -59.591379 -59.675603    ...     -35.083652   \n",
       "1209 -54.677157 -54.677157 -54.677157 -54.677157    ...     -38.598323   \n",
       "1210 -59.849780 -59.849780 -59.863135 -60.327359    ...     -59.395951   \n",
       "1211 -55.382404 -55.439658 -55.337597 -54.012888    ...     -33.921105   \n",
       "1212 -44.552925 -44.552925 -44.552925 -44.552925    ...     -43.782118   \n",
       "1213 -43.489744 -46.490625 -50.799665 -50.240377    ...     -43.185244   \n",
       "1214 -57.332370 -57.332370 -57.332370 -57.332370    ...     -56.290172   \n",
       "1215 -56.402303 -55.341964 -55.211303 -56.189707    ...     -45.134884   \n",
       "1216 -64.678723 -64.678723 -64.678723 -64.678723    ...     -60.835003   \n",
       "1217 -65.562365 -65.562365 -65.562365 -65.562365    ...     -59.220376   \n",
       "1218 -68.056359 -67.975604 -67.535529 -67.833166    ...     -59.862302   \n",
       "1219 -65.356763 -65.356763 -65.356763 -65.356763    ...     -60.025150   \n",
       "1220 -45.194876 -45.194876 -45.194876 -45.194876    ...     -45.120444   \n",
       "1221 -52.044049 -52.044049 -52.044049 -52.044049    ...     -51.649853   \n",
       "1222 -60.420515 -59.816253 -60.189272 -60.110914    ...     -58.988811   \n",
       "1223 -57.077028 -56.940813 -56.940813 -57.228633    ...     -43.485592   \n",
       "1224 -63.942344 -63.942344 -63.942344 -63.942344    ...     -61.936769   \n",
       "1225 -71.407071 -71.407071 -71.407071 -71.407071    ...     -64.210706   \n",
       "1226 -64.968548 -64.968548 -64.968548 -67.252646    ...     -64.832551   \n",
       "1227 -55.767393 -55.767393 -55.767393 -55.767393    ...     -36.255997   \n",
       "1228 -73.548430 -71.061247 -71.375159 -73.176079    ...     -45.162116   \n",
       "1229 -66.626091 -66.020631 -66.533440 -64.211415    ...     -58.620567   \n",
       "1230 -64.448001 -64.448001 -64.448001 -64.244446    ...     -46.602849   \n",
       "1231 -53.286076 -52.388832 -52.388832 -52.399767    ...     -44.453112   \n",
       "1232 -69.567537 -69.567537 -69.567537 -69.567537    ...     -40.807244   \n",
       "1233 -56.128047 -55.966648 -55.947412 -55.989351    ...     -24.167525   \n",
       "1234 -53.054884 -53.054884 -53.054884 -53.054884    ...     -51.727804   \n",
       "1235 -64.206723 -64.206723 -64.206723 -64.206723    ...     -56.091409   \n",
       "1236 -52.199923 -52.218305 -52.633871 -51.629967    ...     -47.927133   \n",
       "\n",
       "            207        208        209        210        211        212  \\\n",
       "0    -61.862374 -61.761406 -60.348411 -60.160468 -61.384289 -60.519129   \n",
       "1    -61.508001 -61.508001 -61.508001 -61.508001 -61.508001 -61.508001   \n",
       "2    -56.156944 -56.156944 -56.156944 -55.844215 -56.156944 -56.156944   \n",
       "3    -39.847823 -40.466040 -40.448086 -42.883065 -43.367558 -46.280296   \n",
       "4    -42.297510 -41.002176 -41.728109 -41.608780 -43.741884 -45.259488   \n",
       "5    -61.116259 -63.291237 -65.844225 -65.121000 -59.515303 -59.591485   \n",
       "6    -53.844575 -54.260574 -55.809029 -54.627146 -53.186850 -53.998237   \n",
       "7    -27.892961 -29.425555 -31.255728 -34.011845 -34.322584 -33.564934   \n",
       "8    -49.848358 -49.632920 -55.102587 -55.481730 -52.952234 -51.401589   \n",
       "9    -50.568866 -53.505840 -54.222252 -51.545521 -52.573785 -54.786292   \n",
       "10   -55.826307 -57.741989 -59.796385 -60.975377 -62.663056 -64.573480   \n",
       "11   -61.018557 -60.341144 -63.465331 -64.500144 -61.646850 -58.001485   \n",
       "12   -50.477974 -50.955292 -55.110642 -53.636647 -57.134217 -58.249914   \n",
       "13   -60.775384 -64.036734 -64.463488 -65.204989 -64.805729 -64.463925   \n",
       "14   -32.430043 -32.474731 -34.334454 -38.280955 -39.110355 -41.010279   \n",
       "15   -62.295248 -64.930130 -65.332128 -64.116934 -64.319911 -64.971422   \n",
       "16   -53.075004 -50.191141 -52.827795 -52.266746 -52.902039 -55.671309   \n",
       "17   -56.838867 -54.096441 -53.427294 -59.046055 -57.349793 -58.454388   \n",
       "18   -31.432299 -33.775317 -36.061379 -38.142237 -38.785398 -39.644426   \n",
       "19   -23.336383 -23.641674 -24.689784 -27.675552 -29.822065 -30.353207   \n",
       "20   -70.229631 -70.229631 -70.229631 -70.229631 -66.133574 -62.637364   \n",
       "21   -47.565877 -48.008283 -50.184724 -51.803760 -51.938013 -51.970586   \n",
       "22   -41.763078 -43.194898 -44.881519 -45.717573 -48.605297 -53.018700   \n",
       "23   -57.681647 -56.301264 -58.650128 -63.881082 -63.749409 -65.222466   \n",
       "24   -65.818869 -65.818869 -65.818869 -65.438060 -65.684853 -65.818869   \n",
       "25   -29.354753 -30.388718 -30.094085 -30.615464 -31.126341 -31.148714   \n",
       "26   -62.505021 -59.518870 -60.482347 -58.338576 -58.965295 -63.520669   \n",
       "27   -31.906057 -32.806936 -33.447647 -34.668094 -34.520308 -37.190555   \n",
       "28   -63.686438 -63.686438 -63.686438 -63.686438 -63.686438 -63.686438   \n",
       "29   -58.389652 -58.389652 -57.649487 -58.025433 -58.389652 -58.389652   \n",
       "...         ...        ...        ...        ...        ...        ...   \n",
       "1207 -52.192277 -53.082673 -54.695262 -52.384729 -53.175544 -54.981104   \n",
       "1208 -34.058435 -34.644343 -34.442063 -36.707547 -41.146307 -43.172390   \n",
       "1209 -38.009244 -40.035804 -39.657108 -40.550019 -43.559956 -45.444457   \n",
       "1210 -58.885912 -59.354939 -59.807379 -59.775160 -58.808937 -57.853232   \n",
       "1211 -35.287239 -39.428942 -41.273553 -40.047037 -40.112812 -43.898186   \n",
       "1212 -38.175252 -37.902636 -40.407236 -40.815793 -41.241603 -41.736607   \n",
       "1213 -45.281609 -48.504020 -50.357992 -44.687362 -43.194414 -46.666642   \n",
       "1214 -56.565868 -57.332370 -56.719102 -56.908147 -56.898329 -57.050586   \n",
       "1215 -45.765619 -45.138881 -45.866570 -44.450824 -45.075534 -47.864657   \n",
       "1216 -61.665689 -61.047234 -59.299474 -60.432158 -62.515880 -64.088474   \n",
       "1217 -61.889744 -61.001034 -61.759804 -62.241800 -62.069901 -61.062766   \n",
       "1218 -58.913939 -57.802619 -59.957985 -62.548852 -66.173967 -64.493243   \n",
       "1219 -57.523709 -56.629023 -57.543099 -58.982573 -57.795045 -57.904399   \n",
       "1220 -45.666244 -45.259188 -45.147653 -45.233620 -45.194876 -45.194876   \n",
       "1221 -51.989357 -52.044049 -52.044049 -52.044049 -52.044049 -52.044049   \n",
       "1222 -58.988811 -58.988811 -58.916401 -58.988811 -58.988811 -58.988811   \n",
       "1223 -42.686466 -44.226132 -44.101891 -43.651345 -45.493498 -47.759692   \n",
       "1224 -61.957350 -63.942344 -63.942344 -63.942344 -63.933362 -63.799121   \n",
       "1225 -64.321623 -66.922372 -70.591707 -69.530834 -66.970003 -66.873352   \n",
       "1226 -64.678076 -64.360786 -64.642809 -62.274782 -62.417866 -63.560128   \n",
       "1227 -36.569010 -36.725955 -38.104478 -38.821533 -38.295397 -36.559404   \n",
       "1228 -47.070428 -48.173410 -49.330655 -51.711174 -52.365458 -54.464719   \n",
       "1229 -60.016013 -61.026796 -61.306973 -61.006645 -60.669009 -62.031732   \n",
       "1230 -45.155677 -46.213197 -48.122823 -45.521263 -45.774197 -49.803602   \n",
       "1231 -44.524053 -46.362766 -46.383047 -47.492377 -51.348980 -51.252681   \n",
       "1232 -43.286208 -43.042348 -42.400162 -42.409806 -41.685644 -41.405289   \n",
       "1233 -25.450151 -26.664525 -28.591213 -29.936010 -29.608872 -31.826348   \n",
       "1234 -50.203255 -49.621696 -52.275230 -51.447833 -51.883657 -52.533490   \n",
       "1235 -59.251821 -58.833817 -57.978339 -61.298153 -58.773552 -60.140413   \n",
       "1236 -50.145131 -48.712166 -47.603032 -45.205415 -44.438685 -48.720497   \n",
       "\n",
       "            213        214        215  \n",
       "0    -61.495963 -61.862374 -60.531564  \n",
       "1    -61.508001 -61.508001 -61.508001  \n",
       "2    -56.156944 -56.156944 -56.156944  \n",
       "3    -48.273818 -49.745182 -50.472916  \n",
       "4    -44.909683 -44.988356 -44.630824  \n",
       "5    -66.712170 -67.736151 -67.736151  \n",
       "6    -53.535159 -57.203741 -59.989199  \n",
       "7    -36.074428 -37.658693 -38.917999  \n",
       "8    -54.072970 -52.639566 -52.664178  \n",
       "9    -56.344280 -57.508212 -56.577322  \n",
       "10   -63.782612 -61.515785 -58.214885  \n",
       "11   -58.848490 -62.603930 -61.121783  \n",
       "12   -56.417940 -54.576753 -51.933967  \n",
       "13   -61.400518 -60.954330 -62.738246  \n",
       "14   -40.282721 -41.454053 -44.383208  \n",
       "15   -63.155779 -64.178668 -63.061902  \n",
       "16   -54.770633 -55.084441 -54.702373  \n",
       "17   -59.379402 -60.010827 -60.010827  \n",
       "18   -41.592496 -45.736790 -42.881675  \n",
       "19   -30.983005 -29.849928 -29.777451  \n",
       "20   -66.394377 -70.229631 -70.229631  \n",
       "21   -51.551021 -54.941525 -56.443121  \n",
       "22   -49.683550 -51.019885 -57.109811  \n",
       "23   -65.308242 -67.008563 -68.636299  \n",
       "24   -65.818869 -65.818869 -65.818869  \n",
       "25   -31.413186 -31.356208 -30.060384  \n",
       "26   -63.769352 -63.829853 -62.814244  \n",
       "27   -40.918852 -41.119227 -38.409354  \n",
       "28   -63.686438 -63.686438 -63.686438  \n",
       "29   -58.389652 -58.389652 -58.389652  \n",
       "...         ...        ...        ...  \n",
       "1207 -54.078131 -54.207101 -56.474811  \n",
       "1208 -42.835244 -46.150078 -45.851973  \n",
       "1209 -46.496016 -46.470699 -47.322224  \n",
       "1210 -58.398109 -59.114060 -58.564454  \n",
       "1211 -46.512260 -45.556203 -43.528693  \n",
       "1212 -43.396698 -42.237670 -41.635098  \n",
       "1213 -50.128142 -50.941980 -50.317816  \n",
       "1214 -57.332370 -57.262080 -57.332370  \n",
       "1215 -49.669654 -52.591634 -54.877643  \n",
       "1216 -64.658195 -64.604102 -64.560031  \n",
       "1217 -58.563208 -60.640275 -63.574741  \n",
       "1218 -62.488814 -63.460311 -64.412657  \n",
       "1219 -58.457920 -60.506432 -59.845687  \n",
       "1220 -45.194876 -45.194876 -45.194876  \n",
       "1221 -52.044049 -52.044049 -52.044049  \n",
       "1222 -58.988811 -58.988811 -58.988811  \n",
       "1223 -50.536515 -51.336391 -50.690862  \n",
       "1224 -63.616188 -63.476149 -63.391090  \n",
       "1225 -68.084319 -70.437988 -70.868711  \n",
       "1226 -63.105106 -63.359077 -63.284678  \n",
       "1227 -36.244597 -35.140083 -32.330563  \n",
       "1228 -56.410372 -56.113212 -54.474242  \n",
       "1229 -64.399412 -64.815625 -64.799419  \n",
       "1230 -51.963733 -52.965988 -52.242500  \n",
       "1231 -50.509345 -49.606151 -47.599135  \n",
       "1232 -42.035714 -40.774790 -38.137740  \n",
       "1233 -36.193416 -37.252570 -37.633020  \n",
       "1234 -50.991376 -48.410666 -47.317401  \n",
       "1235 -63.886547 -63.014960 -63.745278  \n",
       "1236 -50.850345 -50.327162 -48.915758  \n",
       "\n",
       "[1237 rows x 216 columns]"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "featuresDf"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [],
   "source": [
    "labeledDf = pd.concat([featuresDf, labels], axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>0</th>\n",
       "      <th>1</th>\n",
       "      <th>2</th>\n",
       "      <th>3</th>\n",
       "      <th>4</th>\n",
       "      <th>5</th>\n",
       "      <th>6</th>\n",
       "      <th>7</th>\n",
       "      <th>8</th>\n",
       "      <th>9</th>\n",
       "      <th>...</th>\n",
       "      <th>207</th>\n",
       "      <th>208</th>\n",
       "      <th>209</th>\n",
       "      <th>210</th>\n",
       "      <th>211</th>\n",
       "      <th>212</th>\n",
       "      <th>213</th>\n",
       "      <th>214</th>\n",
       "      <th>215</th>\n",
       "      <th>0</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>-61.862374</td>\n",
       "      <td>-61.862374</td>\n",
       "      <td>-61.862374</td>\n",
       "      <td>-61.862374</td>\n",
       "      <td>-61.862374</td>\n",
       "      <td>-61.862374</td>\n",
       "      <td>-61.862374</td>\n",
       "      <td>-61.862374</td>\n",
       "      <td>-61.862374</td>\n",
       "      <td>-61.862374</td>\n",
       "      <td>...</td>\n",
       "      <td>-61.862374</td>\n",
       "      <td>-61.761406</td>\n",
       "      <td>-60.348411</td>\n",
       "      <td>-60.160468</td>\n",
       "      <td>-61.384289</td>\n",
       "      <td>-60.519129</td>\n",
       "      <td>-61.495963</td>\n",
       "      <td>-61.862374</td>\n",
       "      <td>-60.531564</td>\n",
       "      <td>male_neutral</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>-61.508001</td>\n",
       "      <td>-61.508001</td>\n",
       "      <td>-61.508001</td>\n",
       "      <td>-61.508001</td>\n",
       "      <td>-61.508001</td>\n",
       "      <td>-61.508001</td>\n",
       "      <td>-61.508001</td>\n",
       "      <td>-61.508001</td>\n",
       "      <td>-61.508001</td>\n",
       "      <td>-61.508001</td>\n",
       "      <td>...</td>\n",
       "      <td>-61.508001</td>\n",
       "      <td>-61.508001</td>\n",
       "      <td>-61.508001</td>\n",
       "      <td>-61.508001</td>\n",
       "      <td>-61.508001</td>\n",
       "      <td>-61.508001</td>\n",
       "      <td>-61.508001</td>\n",
       "      <td>-61.508001</td>\n",
       "      <td>-61.508001</td>\n",
       "      <td>male_neutral</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>-55.663086</td>\n",
       "      <td>-56.170336</td>\n",
       "      <td>-56.157848</td>\n",
       "      <td>-54.663471</td>\n",
       "      <td>-55.166778</td>\n",
       "      <td>-56.156944</td>\n",
       "      <td>-56.156944</td>\n",
       "      <td>-56.156944</td>\n",
       "      <td>-56.156944</td>\n",
       "      <td>-56.156944</td>\n",
       "      <td>...</td>\n",
       "      <td>-56.156944</td>\n",
       "      <td>-56.156944</td>\n",
       "      <td>-56.156944</td>\n",
       "      <td>-55.844215</td>\n",
       "      <td>-56.156944</td>\n",
       "      <td>-56.156944</td>\n",
       "      <td>-56.156944</td>\n",
       "      <td>-56.156944</td>\n",
       "      <td>-56.156944</td>\n",
       "      <td>male_neutral</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>-63.523530</td>\n",
       "      <td>-63.523530</td>\n",
       "      <td>-63.523530</td>\n",
       "      <td>-63.523530</td>\n",
       "      <td>-63.523530</td>\n",
       "      <td>-63.377373</td>\n",
       "      <td>-61.595853</td>\n",
       "      <td>-63.160227</td>\n",
       "      <td>-63.523530</td>\n",
       "      <td>-63.523530</td>\n",
       "      <td>...</td>\n",
       "      <td>-39.847823</td>\n",
       "      <td>-40.466040</td>\n",
       "      <td>-40.448086</td>\n",
       "      <td>-42.883065</td>\n",
       "      <td>-43.367558</td>\n",
       "      <td>-46.280296</td>\n",
       "      <td>-48.273818</td>\n",
       "      <td>-49.745182</td>\n",
       "      <td>-50.472916</td>\n",
       "      <td>male_neutral</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>-54.985143</td>\n",
       "      <td>-54.914563</td>\n",
       "      <td>-54.937813</td>\n",
       "      <td>-56.227640</td>\n",
       "      <td>-56.685268</td>\n",
       "      <td>-57.022505</td>\n",
       "      <td>-58.089938</td>\n",
       "      <td>-58.376127</td>\n",
       "      <td>-58.420398</td>\n",
       "      <td>-56.623606</td>\n",
       "      <td>...</td>\n",
       "      <td>-42.297510</td>\n",
       "      <td>-41.002176</td>\n",
       "      <td>-41.728109</td>\n",
       "      <td>-41.608780</td>\n",
       "      <td>-43.741884</td>\n",
       "      <td>-45.259488</td>\n",
       "      <td>-44.909683</td>\n",
       "      <td>-44.988356</td>\n",
       "      <td>-44.630824</td>\n",
       "      <td>male_calm</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>-67.736151</td>\n",
       "      <td>-67.778018</td>\n",
       "      <td>-66.746144</td>\n",
       "      <td>-65.957883</td>\n",
       "      <td>-67.736151</td>\n",
       "      <td>-67.736151</td>\n",
       "      <td>-67.736151</td>\n",
       "      <td>-67.258683</td>\n",
       "      <td>-67.736151</td>\n",
       "      <td>-67.736151</td>\n",
       "      <td>...</td>\n",
       "      <td>-61.116259</td>\n",
       "      <td>-63.291237</td>\n",
       "      <td>-65.844225</td>\n",
       "      <td>-65.121000</td>\n",
       "      <td>-59.515303</td>\n",
       "      <td>-59.591485</td>\n",
       "      <td>-66.712170</td>\n",
       "      <td>-67.736151</td>\n",
       "      <td>-67.736151</td>\n",
       "      <td>male_calm</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>-61.560626</td>\n",
       "      <td>-61.560626</td>\n",
       "      <td>-61.560626</td>\n",
       "      <td>-61.560626</td>\n",
       "      <td>-61.560626</td>\n",
       "      <td>-61.560626</td>\n",
       "      <td>-61.560626</td>\n",
       "      <td>-61.560626</td>\n",
       "      <td>-61.560626</td>\n",
       "      <td>-61.560626</td>\n",
       "      <td>...</td>\n",
       "      <td>-53.844575</td>\n",
       "      <td>-54.260574</td>\n",
       "      <td>-55.809029</td>\n",
       "      <td>-54.627146</td>\n",
       "      <td>-53.186850</td>\n",
       "      <td>-53.998237</td>\n",
       "      <td>-53.535159</td>\n",
       "      <td>-57.203741</td>\n",
       "      <td>-59.989199</td>\n",
       "      <td>male_calm</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>-57.414988</td>\n",
       "      <td>-57.414988</td>\n",
       "      <td>-57.414988</td>\n",
       "      <td>-57.414988</td>\n",
       "      <td>-57.414988</td>\n",
       "      <td>-57.414988</td>\n",
       "      <td>-57.414988</td>\n",
       "      <td>-57.414988</td>\n",
       "      <td>-57.414988</td>\n",
       "      <td>-57.414988</td>\n",
       "      <td>...</td>\n",
       "      <td>-27.892961</td>\n",
       "      <td>-29.425555</td>\n",
       "      <td>-31.255728</td>\n",
       "      <td>-34.011845</td>\n",
       "      <td>-34.322584</td>\n",
       "      <td>-33.564934</td>\n",
       "      <td>-36.074428</td>\n",
       "      <td>-37.658693</td>\n",
       "      <td>-38.917999</td>\n",
       "      <td>male_calm</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>-60.369038</td>\n",
       "      <td>-60.083715</td>\n",
       "      <td>-60.978925</td>\n",
       "      <td>-60.952456</td>\n",
       "      <td>-60.982486</td>\n",
       "      <td>-60.983948</td>\n",
       "      <td>-60.981255</td>\n",
       "      <td>-60.981255</td>\n",
       "      <td>-60.981255</td>\n",
       "      <td>-60.249618</td>\n",
       "      <td>...</td>\n",
       "      <td>-49.848358</td>\n",
       "      <td>-49.632920</td>\n",
       "      <td>-55.102587</td>\n",
       "      <td>-55.481730</td>\n",
       "      <td>-52.952234</td>\n",
       "      <td>-51.401589</td>\n",
       "      <td>-54.072970</td>\n",
       "      <td>-52.639566</td>\n",
       "      <td>-52.664178</td>\n",
       "      <td>male_calm</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>-73.841370</td>\n",
       "      <td>-73.841370</td>\n",
       "      <td>-73.841370</td>\n",
       "      <td>-73.719655</td>\n",
       "      <td>-73.841370</td>\n",
       "      <td>-73.841370</td>\n",
       "      <td>-73.841370</td>\n",
       "      <td>-73.303635</td>\n",
       "      <td>-72.806811</td>\n",
       "      <td>-73.841370</td>\n",
       "      <td>...</td>\n",
       "      <td>-50.568866</td>\n",
       "      <td>-53.505840</td>\n",
       "      <td>-54.222252</td>\n",
       "      <td>-51.545521</td>\n",
       "      <td>-52.573785</td>\n",
       "      <td>-54.786292</td>\n",
       "      <td>-56.344280</td>\n",
       "      <td>-57.508212</td>\n",
       "      <td>-56.577322</td>\n",
       "      <td>male_calm</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>-66.058485</td>\n",
       "      <td>-66.058485</td>\n",
       "      <td>-66.058485</td>\n",
       "      <td>-66.058485</td>\n",
       "      <td>-66.058485</td>\n",
       "      <td>-66.058485</td>\n",
       "      <td>-66.058485</td>\n",
       "      <td>-66.058485</td>\n",
       "      <td>-66.058485</td>\n",
       "      <td>-66.058485</td>\n",
       "      <td>...</td>\n",
       "      <td>-55.826307</td>\n",
       "      <td>-57.741989</td>\n",
       "      <td>-59.796385</td>\n",
       "      <td>-60.975377</td>\n",
       "      <td>-62.663056</td>\n",
       "      <td>-64.573480</td>\n",
       "      <td>-63.782612</td>\n",
       "      <td>-61.515785</td>\n",
       "      <td>-58.214885</td>\n",
       "      <td>male_happy</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>-69.673289</td>\n",
       "      <td>-69.693311</td>\n",
       "      <td>-69.693311</td>\n",
       "      <td>-69.693311</td>\n",
       "      <td>-69.693311</td>\n",
       "      <td>-69.693311</td>\n",
       "      <td>-69.693311</td>\n",
       "      <td>-69.620774</td>\n",
       "      <td>-69.693311</td>\n",
       "      <td>-68.906572</td>\n",
       "      <td>...</td>\n",
       "      <td>-61.018557</td>\n",
       "      <td>-60.341144</td>\n",
       "      <td>-63.465331</td>\n",
       "      <td>-64.500144</td>\n",
       "      <td>-61.646850</td>\n",
       "      <td>-58.001485</td>\n",
       "      <td>-58.848490</td>\n",
       "      <td>-62.603930</td>\n",
       "      <td>-61.121783</td>\n",
       "      <td>male_happy</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>-58.731007</td>\n",
       "      <td>-58.746531</td>\n",
       "      <td>-58.048578</td>\n",
       "      <td>-57.370804</td>\n",
       "      <td>-58.199914</td>\n",
       "      <td>-59.706633</td>\n",
       "      <td>-59.876183</td>\n",
       "      <td>-59.998060</td>\n",
       "      <td>-59.936650</td>\n",
       "      <td>-60.248568</td>\n",
       "      <td>...</td>\n",
       "      <td>-50.477974</td>\n",
       "      <td>-50.955292</td>\n",
       "      <td>-55.110642</td>\n",
       "      <td>-53.636647</td>\n",
       "      <td>-57.134217</td>\n",
       "      <td>-58.249914</td>\n",
       "      <td>-56.417940</td>\n",
       "      <td>-54.576753</td>\n",
       "      <td>-51.933967</td>\n",
       "      <td>male_happy</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>-65.427316</td>\n",
       "      <td>-65.427316</td>\n",
       "      <td>-65.261778</td>\n",
       "      <td>-65.427316</td>\n",
       "      <td>-65.427316</td>\n",
       "      <td>-65.427316</td>\n",
       "      <td>-65.027579</td>\n",
       "      <td>-65.404326</td>\n",
       "      <td>-65.427316</td>\n",
       "      <td>-58.999030</td>\n",
       "      <td>...</td>\n",
       "      <td>-60.775384</td>\n",
       "      <td>-64.036734</td>\n",
       "      <td>-64.463488</td>\n",
       "      <td>-65.204989</td>\n",
       "      <td>-64.805729</td>\n",
       "      <td>-64.463925</td>\n",
       "      <td>-61.400518</td>\n",
       "      <td>-60.954330</td>\n",
       "      <td>-62.738246</td>\n",
       "      <td>male_happy</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>-70.746514</td>\n",
       "      <td>-70.746514</td>\n",
       "      <td>-70.025286</td>\n",
       "      <td>-69.131263</td>\n",
       "      <td>-70.746514</td>\n",
       "      <td>-70.746514</td>\n",
       "      <td>-70.746514</td>\n",
       "      <td>-70.746514</td>\n",
       "      <td>-70.746514</td>\n",
       "      <td>-70.746514</td>\n",
       "      <td>...</td>\n",
       "      <td>-32.430043</td>\n",
       "      <td>-32.474731</td>\n",
       "      <td>-34.334454</td>\n",
       "      <td>-38.280955</td>\n",
       "      <td>-39.110355</td>\n",
       "      <td>-41.010279</td>\n",
       "      <td>-40.282721</td>\n",
       "      <td>-41.454053</td>\n",
       "      <td>-44.383208</td>\n",
       "      <td>male_happy</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>-65.800971</td>\n",
       "      <td>-65.800971</td>\n",
       "      <td>-65.800971</td>\n",
       "      <td>-65.800971</td>\n",
       "      <td>-65.800971</td>\n",
       "      <td>-65.800971</td>\n",
       "      <td>-65.800971</td>\n",
       "      <td>-65.800971</td>\n",
       "      <td>-65.800971</td>\n",
       "      <td>-65.800971</td>\n",
       "      <td>...</td>\n",
       "      <td>-62.295248</td>\n",
       "      <td>-64.930130</td>\n",
       "      <td>-65.332128</td>\n",
       "      <td>-64.116934</td>\n",
       "      <td>-64.319911</td>\n",
       "      <td>-64.971422</td>\n",
       "      <td>-63.155779</td>\n",
       "      <td>-64.178668</td>\n",
       "      <td>-63.061902</td>\n",
       "      <td>male_happy</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>-56.872732</td>\n",
       "      <td>-56.872732</td>\n",
       "      <td>-56.872732</td>\n",
       "      <td>-56.872732</td>\n",
       "      <td>-56.872732</td>\n",
       "      <td>-56.872732</td>\n",
       "      <td>-56.872732</td>\n",
       "      <td>-56.872732</td>\n",
       "      <td>-56.872732</td>\n",
       "      <td>-56.872732</td>\n",
       "      <td>...</td>\n",
       "      <td>-53.075004</td>\n",
       "      <td>-50.191141</td>\n",
       "      <td>-52.827795</td>\n",
       "      <td>-52.266746</td>\n",
       "      <td>-52.902039</td>\n",
       "      <td>-55.671309</td>\n",
       "      <td>-54.770633</td>\n",
       "      <td>-55.084441</td>\n",
       "      <td>-54.702373</td>\n",
       "      <td>male_happy</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>-45.030752</td>\n",
       "      <td>-46.782718</td>\n",
       "      <td>-47.775523</td>\n",
       "      <td>-45.638217</td>\n",
       "      <td>-45.101453</td>\n",
       "      <td>-48.043098</td>\n",
       "      <td>-48.737015</td>\n",
       "      <td>-48.716680</td>\n",
       "      <td>-49.198881</td>\n",
       "      <td>-49.100113</td>\n",
       "      <td>...</td>\n",
       "      <td>-56.838867</td>\n",
       "      <td>-54.096441</td>\n",
       "      <td>-53.427294</td>\n",
       "      <td>-59.046055</td>\n",
       "      <td>-57.349793</td>\n",
       "      <td>-58.454388</td>\n",
       "      <td>-59.379402</td>\n",
       "      <td>-60.010827</td>\n",
       "      <td>-60.010827</td>\n",
       "      <td>male_happy</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>-55.623820</td>\n",
       "      <td>-55.623820</td>\n",
       "      <td>-55.570382</td>\n",
       "      <td>-53.938661</td>\n",
       "      <td>-52.901043</td>\n",
       "      <td>-54.380761</td>\n",
       "      <td>-54.381170</td>\n",
       "      <td>-55.478573</td>\n",
       "      <td>-55.612238</td>\n",
       "      <td>-55.888784</td>\n",
       "      <td>...</td>\n",
       "      <td>-31.432299</td>\n",
       "      <td>-33.775317</td>\n",
       "      <td>-36.061379</td>\n",
       "      <td>-38.142237</td>\n",
       "      <td>-38.785398</td>\n",
       "      <td>-39.644426</td>\n",
       "      <td>-41.592496</td>\n",
       "      <td>-45.736790</td>\n",
       "      <td>-42.881675</td>\n",
       "      <td>male_sad</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>-37.497485</td>\n",
       "      <td>-40.120203</td>\n",
       "      <td>-41.299181</td>\n",
       "      <td>-42.205225</td>\n",
       "      <td>-42.010662</td>\n",
       "      <td>-42.347005</td>\n",
       "      <td>-41.992263</td>\n",
       "      <td>-40.100020</td>\n",
       "      <td>-38.743483</td>\n",
       "      <td>-38.762679</td>\n",
       "      <td>...</td>\n",
       "      <td>-23.336383</td>\n",
       "      <td>-23.641674</td>\n",
       "      <td>-24.689784</td>\n",
       "      <td>-27.675552</td>\n",
       "      <td>-29.822065</td>\n",
       "      <td>-30.353207</td>\n",
       "      <td>-30.983005</td>\n",
       "      <td>-29.849928</td>\n",
       "      <td>-29.777451</td>\n",
       "      <td>male_sad</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>-70.229631</td>\n",
       "      <td>-70.229631</td>\n",
       "      <td>-70.229631</td>\n",
       "      <td>-70.229631</td>\n",
       "      <td>-70.229631</td>\n",
       "      <td>-70.229631</td>\n",
       "      <td>-70.229631</td>\n",
       "      <td>-70.229631</td>\n",
       "      <td>-70.229631</td>\n",
       "      <td>-70.229631</td>\n",
       "      <td>...</td>\n",
       "      <td>-70.229631</td>\n",
       "      <td>-70.229631</td>\n",
       "      <td>-70.229631</td>\n",
       "      <td>-70.229631</td>\n",
       "      <td>-66.133574</td>\n",
       "      <td>-62.637364</td>\n",
       "      <td>-66.394377</td>\n",
       "      <td>-70.229631</td>\n",
       "      <td>-70.229631</td>\n",
       "      <td>male_sad</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>-66.166102</td>\n",
       "      <td>-65.178092</td>\n",
       "      <td>-64.740645</td>\n",
       "      <td>-64.826073</td>\n",
       "      <td>-61.850929</td>\n",
       "      <td>-63.990030</td>\n",
       "      <td>-66.804897</td>\n",
       "      <td>-66.020444</td>\n",
       "      <td>-64.604263</td>\n",
       "      <td>-65.701721</td>\n",
       "      <td>...</td>\n",
       "      <td>-47.565877</td>\n",
       "      <td>-48.008283</td>\n",
       "      <td>-50.184724</td>\n",
       "      <td>-51.803760</td>\n",
       "      <td>-51.938013</td>\n",
       "      <td>-51.970586</td>\n",
       "      <td>-51.551021</td>\n",
       "      <td>-54.941525</td>\n",
       "      <td>-56.443121</td>\n",
       "      <td>male_sad</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>-65.755877</td>\n",
       "      <td>-65.755877</td>\n",
       "      <td>-65.755877</td>\n",
       "      <td>-65.755877</td>\n",
       "      <td>-65.755877</td>\n",
       "      <td>-65.755877</td>\n",
       "      <td>-65.755877</td>\n",
       "      <td>-65.755877</td>\n",
       "      <td>-65.755877</td>\n",
       "      <td>-65.755877</td>\n",
       "      <td>...</td>\n",
       "      <td>-41.763078</td>\n",
       "      <td>-43.194898</td>\n",
       "      <td>-44.881519</td>\n",
       "      <td>-45.717573</td>\n",
       "      <td>-48.605297</td>\n",
       "      <td>-53.018700</td>\n",
       "      <td>-49.683550</td>\n",
       "      <td>-51.019885</td>\n",
       "      <td>-57.109811</td>\n",
       "      <td>male_sad</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>-69.051400</td>\n",
       "      <td>-69.051400</td>\n",
       "      <td>-69.051400</td>\n",
       "      <td>-69.051400</td>\n",
       "      <td>-69.051400</td>\n",
       "      <td>-68.754863</td>\n",
       "      <td>-69.051400</td>\n",
       "      <td>-69.051400</td>\n",
       "      <td>-69.051400</td>\n",
       "      <td>-68.359101</td>\n",
       "      <td>...</td>\n",
       "      <td>-57.681647</td>\n",
       "      <td>-56.301264</td>\n",
       "      <td>-58.650128</td>\n",
       "      <td>-63.881082</td>\n",
       "      <td>-63.749409</td>\n",
       "      <td>-65.222466</td>\n",
       "      <td>-65.308242</td>\n",
       "      <td>-67.008563</td>\n",
       "      <td>-68.636299</td>\n",
       "      <td>male_sad</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>-65.818869</td>\n",
       "      <td>-65.818869</td>\n",
       "      <td>-65.818869</td>\n",
       "      <td>-65.818869</td>\n",
       "      <td>-65.805538</td>\n",
       "      <td>-65.818869</td>\n",
       "      <td>-65.818869</td>\n",
       "      <td>-65.629539</td>\n",
       "      <td>-64.802625</td>\n",
       "      <td>-65.818869</td>\n",
       "      <td>...</td>\n",
       "      <td>-65.818869</td>\n",
       "      <td>-65.818869</td>\n",
       "      <td>-65.818869</td>\n",
       "      <td>-65.438060</td>\n",
       "      <td>-65.684853</td>\n",
       "      <td>-65.818869</td>\n",
       "      <td>-65.818869</td>\n",
       "      <td>-65.818869</td>\n",
       "      <td>-65.818869</td>\n",
       "      <td>male_sad</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>-69.243253</td>\n",
       "      <td>-69.243253</td>\n",
       "      <td>-69.243253</td>\n",
       "      <td>-69.243253</td>\n",
       "      <td>-68.901972</td>\n",
       "      <td>-67.982999</td>\n",
       "      <td>-68.089201</td>\n",
       "      <td>-67.897329</td>\n",
       "      <td>-65.258010</td>\n",
       "      <td>-67.170980</td>\n",
       "      <td>...</td>\n",
       "      <td>-29.354753</td>\n",
       "      <td>-30.388718</td>\n",
       "      <td>-30.094085</td>\n",
       "      <td>-30.615464</td>\n",
       "      <td>-31.126341</td>\n",
       "      <td>-31.148714</td>\n",
       "      <td>-31.413186</td>\n",
       "      <td>-31.356208</td>\n",
       "      <td>-30.060384</td>\n",
       "      <td>male_sad</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>-63.311078</td>\n",
       "      <td>-63.072484</td>\n",
       "      <td>-63.412433</td>\n",
       "      <td>-63.796762</td>\n",
       "      <td>-63.581991</td>\n",
       "      <td>-58.921211</td>\n",
       "      <td>-57.955046</td>\n",
       "      <td>-61.224968</td>\n",
       "      <td>-63.782931</td>\n",
       "      <td>-63.796762</td>\n",
       "      <td>...</td>\n",
       "      <td>-62.505021</td>\n",
       "      <td>-59.518870</td>\n",
       "      <td>-60.482347</td>\n",
       "      <td>-58.338576</td>\n",
       "      <td>-58.965295</td>\n",
       "      <td>-63.520669</td>\n",
       "      <td>-63.769352</td>\n",
       "      <td>-63.829853</td>\n",
       "      <td>-62.814244</td>\n",
       "      <td>male_angry</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>-54.181857</td>\n",
       "      <td>-53.653303</td>\n",
       "      <td>-52.179519</td>\n",
       "      <td>-52.163266</td>\n",
       "      <td>-53.387515</td>\n",
       "      <td>-53.853849</td>\n",
       "      <td>-52.760702</td>\n",
       "      <td>-51.047829</td>\n",
       "      <td>-50.953316</td>\n",
       "      <td>-50.094384</td>\n",
       "      <td>...</td>\n",
       "      <td>-31.906057</td>\n",
       "      <td>-32.806936</td>\n",
       "      <td>-33.447647</td>\n",
       "      <td>-34.668094</td>\n",
       "      <td>-34.520308</td>\n",
       "      <td>-37.190555</td>\n",
       "      <td>-40.918852</td>\n",
       "      <td>-41.119227</td>\n",
       "      <td>-38.409354</td>\n",
       "      <td>male_angry</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>-63.686438</td>\n",
       "      <td>-63.686438</td>\n",
       "      <td>-63.686438</td>\n",
       "      <td>-63.686438</td>\n",
       "      <td>-63.686438</td>\n",
       "      <td>-63.686438</td>\n",
       "      <td>-63.686438</td>\n",
       "      <td>-63.686438</td>\n",
       "      <td>-63.686438</td>\n",
       "      <td>-63.686438</td>\n",
       "      <td>...</td>\n",
       "      <td>-63.686438</td>\n",
       "      <td>-63.686438</td>\n",
       "      <td>-63.686438</td>\n",
       "      <td>-63.686438</td>\n",
       "      <td>-63.686438</td>\n",
       "      <td>-63.686438</td>\n",
       "      <td>-63.686438</td>\n",
       "      <td>-63.686438</td>\n",
       "      <td>-63.686438</td>\n",
       "      <td>male_angry</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>-58.389652</td>\n",
       "      <td>-58.389652</td>\n",
       "      <td>-58.389652</td>\n",
       "      <td>-58.389652</td>\n",
       "      <td>-58.389652</td>\n",
       "      <td>-58.389652</td>\n",
       "      <td>-58.389652</td>\n",
       "      <td>-58.389652</td>\n",
       "      <td>-58.389652</td>\n",
       "      <td>-58.389652</td>\n",
       "      <td>...</td>\n",
       "      <td>-58.389652</td>\n",
       "      <td>-58.389652</td>\n",
       "      <td>-57.649487</td>\n",
       "      <td>-58.025433</td>\n",
       "      <td>-58.389652</td>\n",
       "      <td>-58.389652</td>\n",
       "      <td>-58.389652</td>\n",
       "      <td>-58.389652</td>\n",
       "      <td>-58.389652</td>\n",
       "      <td>male_angry</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1207</th>\n",
       "      <td>-67.128017</td>\n",
       "      <td>-67.128017</td>\n",
       "      <td>-67.128017</td>\n",
       "      <td>-67.128017</td>\n",
       "      <td>-67.128017</td>\n",
       "      <td>-67.128017</td>\n",
       "      <td>-67.128017</td>\n",
       "      <td>-67.128017</td>\n",
       "      <td>-67.128017</td>\n",
       "      <td>-67.128017</td>\n",
       "      <td>...</td>\n",
       "      <td>-52.192277</td>\n",
       "      <td>-53.082673</td>\n",
       "      <td>-54.695262</td>\n",
       "      <td>-52.384729</td>\n",
       "      <td>-53.175544</td>\n",
       "      <td>-54.981104</td>\n",
       "      <td>-54.078131</td>\n",
       "      <td>-54.207101</td>\n",
       "      <td>-56.474811</td>\n",
       "      <td>female_calm</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1208</th>\n",
       "      <td>-59.699105</td>\n",
       "      <td>-59.587370</td>\n",
       "      <td>-59.571284</td>\n",
       "      <td>-59.328462</td>\n",
       "      <td>-59.369630</td>\n",
       "      <td>-59.321506</td>\n",
       "      <td>-59.319399</td>\n",
       "      <td>-59.590825</td>\n",
       "      <td>-59.591379</td>\n",
       "      <td>-59.675603</td>\n",
       "      <td>...</td>\n",
       "      <td>-34.058435</td>\n",
       "      <td>-34.644343</td>\n",
       "      <td>-34.442063</td>\n",
       "      <td>-36.707547</td>\n",
       "      <td>-41.146307</td>\n",
       "      <td>-43.172390</td>\n",
       "      <td>-42.835244</td>\n",
       "      <td>-46.150078</td>\n",
       "      <td>-45.851973</td>\n",
       "      <td>female_calm</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1209</th>\n",
       "      <td>-54.677157</td>\n",
       "      <td>-54.677157</td>\n",
       "      <td>-54.677157</td>\n",
       "      <td>-54.677157</td>\n",
       "      <td>-54.677157</td>\n",
       "      <td>-54.677157</td>\n",
       "      <td>-54.677157</td>\n",
       "      <td>-54.677157</td>\n",
       "      <td>-54.677157</td>\n",
       "      <td>-54.677157</td>\n",
       "      <td>...</td>\n",
       "      <td>-38.009244</td>\n",
       "      <td>-40.035804</td>\n",
       "      <td>-39.657108</td>\n",
       "      <td>-40.550019</td>\n",
       "      <td>-43.559956</td>\n",
       "      <td>-45.444457</td>\n",
       "      <td>-46.496016</td>\n",
       "      <td>-46.470699</td>\n",
       "      <td>-47.322224</td>\n",
       "      <td>female_calm</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1210</th>\n",
       "      <td>-59.849780</td>\n",
       "      <td>-59.849780</td>\n",
       "      <td>-59.849780</td>\n",
       "      <td>-59.849780</td>\n",
       "      <td>-59.849780</td>\n",
       "      <td>-59.849780</td>\n",
       "      <td>-59.849780</td>\n",
       "      <td>-59.849780</td>\n",
       "      <td>-59.863135</td>\n",
       "      <td>-60.327359</td>\n",
       "      <td>...</td>\n",
       "      <td>-58.885912</td>\n",
       "      <td>-59.354939</td>\n",
       "      <td>-59.807379</td>\n",
       "      <td>-59.775160</td>\n",
       "      <td>-58.808937</td>\n",
       "      <td>-57.853232</td>\n",
       "      <td>-58.398109</td>\n",
       "      <td>-59.114060</td>\n",
       "      <td>-58.564454</td>\n",
       "      <td>female_happy</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1211</th>\n",
       "      <td>-54.897441</td>\n",
       "      <td>-55.061032</td>\n",
       "      <td>-54.983695</td>\n",
       "      <td>-55.102022</td>\n",
       "      <td>-55.289954</td>\n",
       "      <td>-55.346702</td>\n",
       "      <td>-55.382404</td>\n",
       "      <td>-55.439658</td>\n",
       "      <td>-55.337597</td>\n",
       "      <td>-54.012888</td>\n",
       "      <td>...</td>\n",
       "      <td>-35.287239</td>\n",
       "      <td>-39.428942</td>\n",
       "      <td>-41.273553</td>\n",
       "      <td>-40.047037</td>\n",
       "      <td>-40.112812</td>\n",
       "      <td>-43.898186</td>\n",
       "      <td>-46.512260</td>\n",
       "      <td>-45.556203</td>\n",
       "      <td>-43.528693</td>\n",
       "      <td>female_happy</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1212</th>\n",
       "      <td>-44.552925</td>\n",
       "      <td>-44.552925</td>\n",
       "      <td>-44.552925</td>\n",
       "      <td>-44.552925</td>\n",
       "      <td>-44.552925</td>\n",
       "      <td>-44.552925</td>\n",
       "      <td>-44.552925</td>\n",
       "      <td>-44.552925</td>\n",
       "      <td>-44.552925</td>\n",
       "      <td>-44.552925</td>\n",
       "      <td>...</td>\n",
       "      <td>-38.175252</td>\n",
       "      <td>-37.902636</td>\n",
       "      <td>-40.407236</td>\n",
       "      <td>-40.815793</td>\n",
       "      <td>-41.241603</td>\n",
       "      <td>-41.736607</td>\n",
       "      <td>-43.396698</td>\n",
       "      <td>-42.237670</td>\n",
       "      <td>-41.635098</td>\n",
       "      <td>female_happy</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1213</th>\n",
       "      <td>-48.668418</td>\n",
       "      <td>-45.720402</td>\n",
       "      <td>-46.046837</td>\n",
       "      <td>-46.525805</td>\n",
       "      <td>-47.946480</td>\n",
       "      <td>-44.790188</td>\n",
       "      <td>-43.489744</td>\n",
       "      <td>-46.490625</td>\n",
       "      <td>-50.799665</td>\n",
       "      <td>-50.240377</td>\n",
       "      <td>...</td>\n",
       "      <td>-45.281609</td>\n",
       "      <td>-48.504020</td>\n",
       "      <td>-50.357992</td>\n",
       "      <td>-44.687362</td>\n",
       "      <td>-43.194414</td>\n",
       "      <td>-46.666642</td>\n",
       "      <td>-50.128142</td>\n",
       "      <td>-50.941980</td>\n",
       "      <td>-50.317816</td>\n",
       "      <td>female_happy</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1214</th>\n",
       "      <td>-57.332370</td>\n",
       "      <td>-57.332370</td>\n",
       "      <td>-57.332370</td>\n",
       "      <td>-57.332370</td>\n",
       "      <td>-57.332370</td>\n",
       "      <td>-57.332370</td>\n",
       "      <td>-57.332370</td>\n",
       "      <td>-57.332370</td>\n",
       "      <td>-57.332370</td>\n",
       "      <td>-57.332370</td>\n",
       "      <td>...</td>\n",
       "      <td>-56.565868</td>\n",
       "      <td>-57.332370</td>\n",
       "      <td>-56.719102</td>\n",
       "      <td>-56.908147</td>\n",
       "      <td>-56.898329</td>\n",
       "      <td>-57.050586</td>\n",
       "      <td>-57.332370</td>\n",
       "      <td>-57.262080</td>\n",
       "      <td>-57.332370</td>\n",
       "      <td>female_happy</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1215</th>\n",
       "      <td>-56.079682</td>\n",
       "      <td>-56.079682</td>\n",
       "      <td>-56.079682</td>\n",
       "      <td>-56.079682</td>\n",
       "      <td>-56.079682</td>\n",
       "      <td>-56.109858</td>\n",
       "      <td>-56.402303</td>\n",
       "      <td>-55.341964</td>\n",
       "      <td>-55.211303</td>\n",
       "      <td>-56.189707</td>\n",
       "      <td>...</td>\n",
       "      <td>-45.765619</td>\n",
       "      <td>-45.138881</td>\n",
       "      <td>-45.866570</td>\n",
       "      <td>-44.450824</td>\n",
       "      <td>-45.075534</td>\n",
       "      <td>-47.864657</td>\n",
       "      <td>-49.669654</td>\n",
       "      <td>-52.591634</td>\n",
       "      <td>-54.877643</td>\n",
       "      <td>female_happy</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1216</th>\n",
       "      <td>-64.678723</td>\n",
       "      <td>-64.678723</td>\n",
       "      <td>-64.678723</td>\n",
       "      <td>-64.678723</td>\n",
       "      <td>-64.678723</td>\n",
       "      <td>-64.678723</td>\n",
       "      <td>-64.678723</td>\n",
       "      <td>-64.678723</td>\n",
       "      <td>-64.678723</td>\n",
       "      <td>-64.678723</td>\n",
       "      <td>...</td>\n",
       "      <td>-61.665689</td>\n",
       "      <td>-61.047234</td>\n",
       "      <td>-59.299474</td>\n",
       "      <td>-60.432158</td>\n",
       "      <td>-62.515880</td>\n",
       "      <td>-64.088474</td>\n",
       "      <td>-64.658195</td>\n",
       "      <td>-64.604102</td>\n",
       "      <td>-64.560031</td>\n",
       "      <td>female_happy</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1217</th>\n",
       "      <td>-65.562365</td>\n",
       "      <td>-65.562365</td>\n",
       "      <td>-65.562365</td>\n",
       "      <td>-65.562365</td>\n",
       "      <td>-65.562365</td>\n",
       "      <td>-65.562365</td>\n",
       "      <td>-65.562365</td>\n",
       "      <td>-65.562365</td>\n",
       "      <td>-65.562365</td>\n",
       "      <td>-65.562365</td>\n",
       "      <td>...</td>\n",
       "      <td>-61.889744</td>\n",
       "      <td>-61.001034</td>\n",
       "      <td>-61.759804</td>\n",
       "      <td>-62.241800</td>\n",
       "      <td>-62.069901</td>\n",
       "      <td>-61.062766</td>\n",
       "      <td>-58.563208</td>\n",
       "      <td>-60.640275</td>\n",
       "      <td>-63.574741</td>\n",
       "      <td>female_happy</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1218</th>\n",
       "      <td>-66.807157</td>\n",
       "      <td>-67.642669</td>\n",
       "      <td>-67.920088</td>\n",
       "      <td>-68.177969</td>\n",
       "      <td>-67.961404</td>\n",
       "      <td>-67.855784</td>\n",
       "      <td>-68.056359</td>\n",
       "      <td>-67.975604</td>\n",
       "      <td>-67.535529</td>\n",
       "      <td>-67.833166</td>\n",
       "      <td>...</td>\n",
       "      <td>-58.913939</td>\n",
       "      <td>-57.802619</td>\n",
       "      <td>-59.957985</td>\n",
       "      <td>-62.548852</td>\n",
       "      <td>-66.173967</td>\n",
       "      <td>-64.493243</td>\n",
       "      <td>-62.488814</td>\n",
       "      <td>-63.460311</td>\n",
       "      <td>-64.412657</td>\n",
       "      <td>female_sad</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1219</th>\n",
       "      <td>-65.356763</td>\n",
       "      <td>-65.356763</td>\n",
       "      <td>-65.356763</td>\n",
       "      <td>-65.356763</td>\n",
       "      <td>-65.356763</td>\n",
       "      <td>-65.356763</td>\n",
       "      <td>-65.356763</td>\n",
       "      <td>-65.356763</td>\n",
       "      <td>-65.356763</td>\n",
       "      <td>-65.356763</td>\n",
       "      <td>...</td>\n",
       "      <td>-57.523709</td>\n",
       "      <td>-56.629023</td>\n",
       "      <td>-57.543099</td>\n",
       "      <td>-58.982573</td>\n",
       "      <td>-57.795045</td>\n",
       "      <td>-57.904399</td>\n",
       "      <td>-58.457920</td>\n",
       "      <td>-60.506432</td>\n",
       "      <td>-59.845687</td>\n",
       "      <td>female_sad</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1220</th>\n",
       "      <td>-45.194876</td>\n",
       "      <td>-45.194876</td>\n",
       "      <td>-45.194876</td>\n",
       "      <td>-45.194876</td>\n",
       "      <td>-45.194876</td>\n",
       "      <td>-45.194876</td>\n",
       "      <td>-45.194876</td>\n",
       "      <td>-45.194876</td>\n",
       "      <td>-45.194876</td>\n",
       "      <td>-45.194876</td>\n",
       "      <td>...</td>\n",
       "      <td>-45.666244</td>\n",
       "      <td>-45.259188</td>\n",
       "      <td>-45.147653</td>\n",
       "      <td>-45.233620</td>\n",
       "      <td>-45.194876</td>\n",
       "      <td>-45.194876</td>\n",
       "      <td>-45.194876</td>\n",
       "      <td>-45.194876</td>\n",
       "      <td>-45.194876</td>\n",
       "      <td>female_sad</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1221</th>\n",
       "      <td>-52.044049</td>\n",
       "      <td>-52.044049</td>\n",
       "      <td>-52.044049</td>\n",
       "      <td>-52.044049</td>\n",
       "      <td>-52.044049</td>\n",
       "      <td>-52.044049</td>\n",
       "      <td>-52.044049</td>\n",
       "      <td>-52.044049</td>\n",
       "      <td>-52.044049</td>\n",
       "      <td>-52.044049</td>\n",
       "      <td>...</td>\n",
       "      <td>-51.989357</td>\n",
       "      <td>-52.044049</td>\n",
       "      <td>-52.044049</td>\n",
       "      <td>-52.044049</td>\n",
       "      <td>-52.044049</td>\n",
       "      <td>-52.044049</td>\n",
       "      <td>-52.044049</td>\n",
       "      <td>-52.044049</td>\n",
       "      <td>-52.044049</td>\n",
       "      <td>female_angry</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1222</th>\n",
       "      <td>-58.988811</td>\n",
       "      <td>-58.988811</td>\n",
       "      <td>-60.665468</td>\n",
       "      <td>-60.689583</td>\n",
       "      <td>-59.735563</td>\n",
       "      <td>-60.501480</td>\n",
       "      <td>-60.420515</td>\n",
       "      <td>-59.816253</td>\n",
       "      <td>-60.189272</td>\n",
       "      <td>-60.110914</td>\n",
       "      <td>...</td>\n",
       "      <td>-58.988811</td>\n",
       "      <td>-58.988811</td>\n",
       "      <td>-58.916401</td>\n",
       "      <td>-58.988811</td>\n",
       "      <td>-58.988811</td>\n",
       "      <td>-58.988811</td>\n",
       "      <td>-58.988811</td>\n",
       "      <td>-58.988811</td>\n",
       "      <td>-58.988811</td>\n",
       "      <td>female_angry</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1223</th>\n",
       "      <td>-56.940813</td>\n",
       "      <td>-56.940813</td>\n",
       "      <td>-56.940813</td>\n",
       "      <td>-56.940813</td>\n",
       "      <td>-56.940813</td>\n",
       "      <td>-56.943359</td>\n",
       "      <td>-57.077028</td>\n",
       "      <td>-56.940813</td>\n",
       "      <td>-56.940813</td>\n",
       "      <td>-57.228633</td>\n",
       "      <td>...</td>\n",
       "      <td>-42.686466</td>\n",
       "      <td>-44.226132</td>\n",
       "      <td>-44.101891</td>\n",
       "      <td>-43.651345</td>\n",
       "      <td>-45.493498</td>\n",
       "      <td>-47.759692</td>\n",
       "      <td>-50.536515</td>\n",
       "      <td>-51.336391</td>\n",
       "      <td>-50.690862</td>\n",
       "      <td>female_fearful</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1224</th>\n",
       "      <td>-63.942344</td>\n",
       "      <td>-63.942344</td>\n",
       "      <td>-63.942344</td>\n",
       "      <td>-63.942344</td>\n",
       "      <td>-63.942344</td>\n",
       "      <td>-63.942344</td>\n",
       "      <td>-63.942344</td>\n",
       "      <td>-63.942344</td>\n",
       "      <td>-63.942344</td>\n",
       "      <td>-63.942344</td>\n",
       "      <td>...</td>\n",
       "      <td>-61.957350</td>\n",
       "      <td>-63.942344</td>\n",
       "      <td>-63.942344</td>\n",
       "      <td>-63.942344</td>\n",
       "      <td>-63.933362</td>\n",
       "      <td>-63.799121</td>\n",
       "      <td>-63.616188</td>\n",
       "      <td>-63.476149</td>\n",
       "      <td>-63.391090</td>\n",
       "      <td>female_fearful</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1225</th>\n",
       "      <td>-71.407071</td>\n",
       "      <td>-71.407071</td>\n",
       "      <td>-71.407071</td>\n",
       "      <td>-71.407071</td>\n",
       "      <td>-71.407071</td>\n",
       "      <td>-71.407071</td>\n",
       "      <td>-71.407071</td>\n",
       "      <td>-71.407071</td>\n",
       "      <td>-71.407071</td>\n",
       "      <td>-71.407071</td>\n",
       "      <td>...</td>\n",
       "      <td>-64.321623</td>\n",
       "      <td>-66.922372</td>\n",
       "      <td>-70.591707</td>\n",
       "      <td>-69.530834</td>\n",
       "      <td>-66.970003</td>\n",
       "      <td>-66.873352</td>\n",
       "      <td>-68.084319</td>\n",
       "      <td>-70.437988</td>\n",
       "      <td>-70.868711</td>\n",
       "      <td>female_fearful</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1226</th>\n",
       "      <td>-64.968548</td>\n",
       "      <td>-64.968548</td>\n",
       "      <td>-64.968548</td>\n",
       "      <td>-64.968548</td>\n",
       "      <td>-64.968548</td>\n",
       "      <td>-64.968548</td>\n",
       "      <td>-64.968548</td>\n",
       "      <td>-64.968548</td>\n",
       "      <td>-64.968548</td>\n",
       "      <td>-67.252646</td>\n",
       "      <td>...</td>\n",
       "      <td>-64.678076</td>\n",
       "      <td>-64.360786</td>\n",
       "      <td>-64.642809</td>\n",
       "      <td>-62.274782</td>\n",
       "      <td>-62.417866</td>\n",
       "      <td>-63.560128</td>\n",
       "      <td>-63.105106</td>\n",
       "      <td>-63.359077</td>\n",
       "      <td>-63.284678</td>\n",
       "      <td>female_fearful</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1227</th>\n",
       "      <td>-55.767393</td>\n",
       "      <td>-55.767393</td>\n",
       "      <td>-55.767393</td>\n",
       "      <td>-55.767393</td>\n",
       "      <td>-55.767393</td>\n",
       "      <td>-55.767393</td>\n",
       "      <td>-55.767393</td>\n",
       "      <td>-55.767393</td>\n",
       "      <td>-55.767393</td>\n",
       "      <td>-55.767393</td>\n",
       "      <td>...</td>\n",
       "      <td>-36.569010</td>\n",
       "      <td>-36.725955</td>\n",
       "      <td>-38.104478</td>\n",
       "      <td>-38.821533</td>\n",
       "      <td>-38.295397</td>\n",
       "      <td>-36.559404</td>\n",
       "      <td>-36.244597</td>\n",
       "      <td>-35.140083</td>\n",
       "      <td>-32.330563</td>\n",
       "      <td>female_fearful</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1228</th>\n",
       "      <td>-74.012896</td>\n",
       "      <td>-73.948519</td>\n",
       "      <td>-73.379063</td>\n",
       "      <td>-71.428494</td>\n",
       "      <td>-72.432060</td>\n",
       "      <td>-74.236830</td>\n",
       "      <td>-73.548430</td>\n",
       "      <td>-71.061247</td>\n",
       "      <td>-71.375159</td>\n",
       "      <td>-73.176079</td>\n",
       "      <td>...</td>\n",
       "      <td>-47.070428</td>\n",
       "      <td>-48.173410</td>\n",
       "      <td>-49.330655</td>\n",
       "      <td>-51.711174</td>\n",
       "      <td>-52.365458</td>\n",
       "      <td>-54.464719</td>\n",
       "      <td>-56.410372</td>\n",
       "      <td>-56.113212</td>\n",
       "      <td>-54.474242</td>\n",
       "      <td>female_disgust</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1229</th>\n",
       "      <td>-64.793803</td>\n",
       "      <td>-64.793803</td>\n",
       "      <td>-64.793803</td>\n",
       "      <td>-65.559996</td>\n",
       "      <td>-65.851749</td>\n",
       "      <td>-65.446570</td>\n",
       "      <td>-66.626091</td>\n",
       "      <td>-66.020631</td>\n",
       "      <td>-66.533440</td>\n",
       "      <td>-64.211415</td>\n",
       "      <td>...</td>\n",
       "      <td>-60.016013</td>\n",
       "      <td>-61.026796</td>\n",
       "      <td>-61.306973</td>\n",
       "      <td>-61.006645</td>\n",
       "      <td>-60.669009</td>\n",
       "      <td>-62.031732</td>\n",
       "      <td>-64.399412</td>\n",
       "      <td>-64.815625</td>\n",
       "      <td>-64.799419</td>\n",
       "      <td>female_surpise</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1230</th>\n",
       "      <td>-64.448001</td>\n",
       "      <td>-64.448001</td>\n",
       "      <td>-64.448001</td>\n",
       "      <td>-64.247894</td>\n",
       "      <td>-63.931406</td>\n",
       "      <td>-64.395909</td>\n",
       "      <td>-64.448001</td>\n",
       "      <td>-64.448001</td>\n",
       "      <td>-64.448001</td>\n",
       "      <td>-64.244446</td>\n",
       "      <td>...</td>\n",
       "      <td>-45.155677</td>\n",
       "      <td>-46.213197</td>\n",
       "      <td>-48.122823</td>\n",
       "      <td>-45.521263</td>\n",
       "      <td>-45.774197</td>\n",
       "      <td>-49.803602</td>\n",
       "      <td>-51.963733</td>\n",
       "      <td>-52.965988</td>\n",
       "      <td>-52.242500</td>\n",
       "      <td>female_surpise</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1231</th>\n",
       "      <td>-52.388832</td>\n",
       "      <td>-52.388832</td>\n",
       "      <td>-52.388832</td>\n",
       "      <td>-52.388832</td>\n",
       "      <td>-54.024092</td>\n",
       "      <td>-54.198564</td>\n",
       "      <td>-53.286076</td>\n",
       "      <td>-52.388832</td>\n",
       "      <td>-52.388832</td>\n",
       "      <td>-52.399767</td>\n",
       "      <td>...</td>\n",
       "      <td>-44.524053</td>\n",
       "      <td>-46.362766</td>\n",
       "      <td>-46.383047</td>\n",
       "      <td>-47.492377</td>\n",
       "      <td>-51.348980</td>\n",
       "      <td>-51.252681</td>\n",
       "      <td>-50.509345</td>\n",
       "      <td>-49.606151</td>\n",
       "      <td>-47.599135</td>\n",
       "      <td>female_surpise</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1232</th>\n",
       "      <td>-69.567537</td>\n",
       "      <td>-69.567537</td>\n",
       "      <td>-69.567537</td>\n",
       "      <td>-69.567537</td>\n",
       "      <td>-69.567537</td>\n",
       "      <td>-69.567537</td>\n",
       "      <td>-69.567537</td>\n",
       "      <td>-69.567537</td>\n",
       "      <td>-69.567537</td>\n",
       "      <td>-69.567537</td>\n",
       "      <td>...</td>\n",
       "      <td>-43.286208</td>\n",
       "      <td>-43.042348</td>\n",
       "      <td>-42.400162</td>\n",
       "      <td>-42.409806</td>\n",
       "      <td>-41.685644</td>\n",
       "      <td>-41.405289</td>\n",
       "      <td>-42.035714</td>\n",
       "      <td>-40.774790</td>\n",
       "      <td>-38.137740</td>\n",
       "      <td>female_surpise</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1233</th>\n",
       "      <td>-55.897192</td>\n",
       "      <td>-55.845639</td>\n",
       "      <td>-55.693414</td>\n",
       "      <td>-55.669094</td>\n",
       "      <td>-55.983359</td>\n",
       "      <td>-56.143512</td>\n",
       "      <td>-56.128047</td>\n",
       "      <td>-55.966648</td>\n",
       "      <td>-55.947412</td>\n",
       "      <td>-55.989351</td>\n",
       "      <td>...</td>\n",
       "      <td>-25.450151</td>\n",
       "      <td>-26.664525</td>\n",
       "      <td>-28.591213</td>\n",
       "      <td>-29.936010</td>\n",
       "      <td>-29.608872</td>\n",
       "      <td>-31.826348</td>\n",
       "      <td>-36.193416</td>\n",
       "      <td>-37.252570</td>\n",
       "      <td>-37.633020</td>\n",
       "      <td>female_surpise</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1234</th>\n",
       "      <td>-53.054884</td>\n",
       "      <td>-53.054884</td>\n",
       "      <td>-53.054884</td>\n",
       "      <td>-53.054884</td>\n",
       "      <td>-53.054884</td>\n",
       "      <td>-53.054884</td>\n",
       "      <td>-53.054884</td>\n",
       "      <td>-53.054884</td>\n",
       "      <td>-53.054884</td>\n",
       "      <td>-53.054884</td>\n",
       "      <td>...</td>\n",
       "      <td>-50.203255</td>\n",
       "      <td>-49.621696</td>\n",
       "      <td>-52.275230</td>\n",
       "      <td>-51.447833</td>\n",
       "      <td>-51.883657</td>\n",
       "      <td>-52.533490</td>\n",
       "      <td>-50.991376</td>\n",
       "      <td>-48.410666</td>\n",
       "      <td>-47.317401</td>\n",
       "      <td>female_surpise</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1235</th>\n",
       "      <td>-64.206723</td>\n",
       "      <td>-64.206723</td>\n",
       "      <td>-64.206723</td>\n",
       "      <td>-64.206723</td>\n",
       "      <td>-64.206723</td>\n",
       "      <td>-64.206723</td>\n",
       "      <td>-64.206723</td>\n",
       "      <td>-64.206723</td>\n",
       "      <td>-64.206723</td>\n",
       "      <td>-64.206723</td>\n",
       "      <td>...</td>\n",
       "      <td>-59.251821</td>\n",
       "      <td>-58.833817</td>\n",
       "      <td>-57.978339</td>\n",
       "      <td>-61.298153</td>\n",
       "      <td>-58.773552</td>\n",
       "      <td>-60.140413</td>\n",
       "      <td>-63.886547</td>\n",
       "      <td>-63.014960</td>\n",
       "      <td>-63.745278</td>\n",
       "      <td>female_surpise</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1236</th>\n",
       "      <td>-55.255136</td>\n",
       "      <td>-55.255136</td>\n",
       "      <td>-55.186653</td>\n",
       "      <td>-55.345294</td>\n",
       "      <td>-55.053389</td>\n",
       "      <td>-53.088172</td>\n",
       "      <td>-52.199923</td>\n",
       "      <td>-52.218305</td>\n",
       "      <td>-52.633871</td>\n",
       "      <td>-51.629967</td>\n",
       "      <td>...</td>\n",
       "      <td>-50.145131</td>\n",
       "      <td>-48.712166</td>\n",
       "      <td>-47.603032</td>\n",
       "      <td>-45.205415</td>\n",
       "      <td>-44.438685</td>\n",
       "      <td>-48.720497</td>\n",
       "      <td>-50.850345</td>\n",
       "      <td>-50.327162</td>\n",
       "      <td>-48.915758</td>\n",
       "      <td>female_surpise</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1237 rows × 217 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "            0          1          2          3          4          5    \\\n",
       "0    -61.862374 -61.862374 -61.862374 -61.862374 -61.862374 -61.862374   \n",
       "1    -61.508001 -61.508001 -61.508001 -61.508001 -61.508001 -61.508001   \n",
       "2    -55.663086 -56.170336 -56.157848 -54.663471 -55.166778 -56.156944   \n",
       "3    -63.523530 -63.523530 -63.523530 -63.523530 -63.523530 -63.377373   \n",
       "4    -54.985143 -54.914563 -54.937813 -56.227640 -56.685268 -57.022505   \n",
       "5    -67.736151 -67.778018 -66.746144 -65.957883 -67.736151 -67.736151   \n",
       "6    -61.560626 -61.560626 -61.560626 -61.560626 -61.560626 -61.560626   \n",
       "7    -57.414988 -57.414988 -57.414988 -57.414988 -57.414988 -57.414988   \n",
       "8    -60.369038 -60.083715 -60.978925 -60.952456 -60.982486 -60.983948   \n",
       "9    -73.841370 -73.841370 -73.841370 -73.719655 -73.841370 -73.841370   \n",
       "10   -66.058485 -66.058485 -66.058485 -66.058485 -66.058485 -66.058485   \n",
       "11   -69.673289 -69.693311 -69.693311 -69.693311 -69.693311 -69.693311   \n",
       "12   -58.731007 -58.746531 -58.048578 -57.370804 -58.199914 -59.706633   \n",
       "13   -65.427316 -65.427316 -65.261778 -65.427316 -65.427316 -65.427316   \n",
       "14   -70.746514 -70.746514 -70.025286 -69.131263 -70.746514 -70.746514   \n",
       "15   -65.800971 -65.800971 -65.800971 -65.800971 -65.800971 -65.800971   \n",
       "16   -56.872732 -56.872732 -56.872732 -56.872732 -56.872732 -56.872732   \n",
       "17   -45.030752 -46.782718 -47.775523 -45.638217 -45.101453 -48.043098   \n",
       "18   -55.623820 -55.623820 -55.570382 -53.938661 -52.901043 -54.380761   \n",
       "19   -37.497485 -40.120203 -41.299181 -42.205225 -42.010662 -42.347005   \n",
       "20   -70.229631 -70.229631 -70.229631 -70.229631 -70.229631 -70.229631   \n",
       "21   -66.166102 -65.178092 -64.740645 -64.826073 -61.850929 -63.990030   \n",
       "22   -65.755877 -65.755877 -65.755877 -65.755877 -65.755877 -65.755877   \n",
       "23   -69.051400 -69.051400 -69.051400 -69.051400 -69.051400 -68.754863   \n",
       "24   -65.818869 -65.818869 -65.818869 -65.818869 -65.805538 -65.818869   \n",
       "25   -69.243253 -69.243253 -69.243253 -69.243253 -68.901972 -67.982999   \n",
       "26   -63.311078 -63.072484 -63.412433 -63.796762 -63.581991 -58.921211   \n",
       "27   -54.181857 -53.653303 -52.179519 -52.163266 -53.387515 -53.853849   \n",
       "28   -63.686438 -63.686438 -63.686438 -63.686438 -63.686438 -63.686438   \n",
       "29   -58.389652 -58.389652 -58.389652 -58.389652 -58.389652 -58.389652   \n",
       "...         ...        ...        ...        ...        ...        ...   \n",
       "1207 -67.128017 -67.128017 -67.128017 -67.128017 -67.128017 -67.128017   \n",
       "1208 -59.699105 -59.587370 -59.571284 -59.328462 -59.369630 -59.321506   \n",
       "1209 -54.677157 -54.677157 -54.677157 -54.677157 -54.677157 -54.677157   \n",
       "1210 -59.849780 -59.849780 -59.849780 -59.849780 -59.849780 -59.849780   \n",
       "1211 -54.897441 -55.061032 -54.983695 -55.102022 -55.289954 -55.346702   \n",
       "1212 -44.552925 -44.552925 -44.552925 -44.552925 -44.552925 -44.552925   \n",
       "1213 -48.668418 -45.720402 -46.046837 -46.525805 -47.946480 -44.790188   \n",
       "1214 -57.332370 -57.332370 -57.332370 -57.332370 -57.332370 -57.332370   \n",
       "1215 -56.079682 -56.079682 -56.079682 -56.079682 -56.079682 -56.109858   \n",
       "1216 -64.678723 -64.678723 -64.678723 -64.678723 -64.678723 -64.678723   \n",
       "1217 -65.562365 -65.562365 -65.562365 -65.562365 -65.562365 -65.562365   \n",
       "1218 -66.807157 -67.642669 -67.920088 -68.177969 -67.961404 -67.855784   \n",
       "1219 -65.356763 -65.356763 -65.356763 -65.356763 -65.356763 -65.356763   \n",
       "1220 -45.194876 -45.194876 -45.194876 -45.194876 -45.194876 -45.194876   \n",
       "1221 -52.044049 -52.044049 -52.044049 -52.044049 -52.044049 -52.044049   \n",
       "1222 -58.988811 -58.988811 -60.665468 -60.689583 -59.735563 -60.501480   \n",
       "1223 -56.940813 -56.940813 -56.940813 -56.940813 -56.940813 -56.943359   \n",
       "1224 -63.942344 -63.942344 -63.942344 -63.942344 -63.942344 -63.942344   \n",
       "1225 -71.407071 -71.407071 -71.407071 -71.407071 -71.407071 -71.407071   \n",
       "1226 -64.968548 -64.968548 -64.968548 -64.968548 -64.968548 -64.968548   \n",
       "1227 -55.767393 -55.767393 -55.767393 -55.767393 -55.767393 -55.767393   \n",
       "1228 -74.012896 -73.948519 -73.379063 -71.428494 -72.432060 -74.236830   \n",
       "1229 -64.793803 -64.793803 -64.793803 -65.559996 -65.851749 -65.446570   \n",
       "1230 -64.448001 -64.448001 -64.448001 -64.247894 -63.931406 -64.395909   \n",
       "1231 -52.388832 -52.388832 -52.388832 -52.388832 -54.024092 -54.198564   \n",
       "1232 -69.567537 -69.567537 -69.567537 -69.567537 -69.567537 -69.567537   \n",
       "1233 -55.897192 -55.845639 -55.693414 -55.669094 -55.983359 -56.143512   \n",
       "1234 -53.054884 -53.054884 -53.054884 -53.054884 -53.054884 -53.054884   \n",
       "1235 -64.206723 -64.206723 -64.206723 -64.206723 -64.206723 -64.206723   \n",
       "1236 -55.255136 -55.255136 -55.186653 -55.345294 -55.053389 -53.088172   \n",
       "\n",
       "            6          7          8          9         ...              207  \\\n",
       "0    -61.862374 -61.862374 -61.862374 -61.862374       ...       -61.862374   \n",
       "1    -61.508001 -61.508001 -61.508001 -61.508001       ...       -61.508001   \n",
       "2    -56.156944 -56.156944 -56.156944 -56.156944       ...       -56.156944   \n",
       "3    -61.595853 -63.160227 -63.523530 -63.523530       ...       -39.847823   \n",
       "4    -58.089938 -58.376127 -58.420398 -56.623606       ...       -42.297510   \n",
       "5    -67.736151 -67.258683 -67.736151 -67.736151       ...       -61.116259   \n",
       "6    -61.560626 -61.560626 -61.560626 -61.560626       ...       -53.844575   \n",
       "7    -57.414988 -57.414988 -57.414988 -57.414988       ...       -27.892961   \n",
       "8    -60.981255 -60.981255 -60.981255 -60.249618       ...       -49.848358   \n",
       "9    -73.841370 -73.303635 -72.806811 -73.841370       ...       -50.568866   \n",
       "10   -66.058485 -66.058485 -66.058485 -66.058485       ...       -55.826307   \n",
       "11   -69.693311 -69.620774 -69.693311 -68.906572       ...       -61.018557   \n",
       "12   -59.876183 -59.998060 -59.936650 -60.248568       ...       -50.477974   \n",
       "13   -65.027579 -65.404326 -65.427316 -58.999030       ...       -60.775384   \n",
       "14   -70.746514 -70.746514 -70.746514 -70.746514       ...       -32.430043   \n",
       "15   -65.800971 -65.800971 -65.800971 -65.800971       ...       -62.295248   \n",
       "16   -56.872732 -56.872732 -56.872732 -56.872732       ...       -53.075004   \n",
       "17   -48.737015 -48.716680 -49.198881 -49.100113       ...       -56.838867   \n",
       "18   -54.381170 -55.478573 -55.612238 -55.888784       ...       -31.432299   \n",
       "19   -41.992263 -40.100020 -38.743483 -38.762679       ...       -23.336383   \n",
       "20   -70.229631 -70.229631 -70.229631 -70.229631       ...       -70.229631   \n",
       "21   -66.804897 -66.020444 -64.604263 -65.701721       ...       -47.565877   \n",
       "22   -65.755877 -65.755877 -65.755877 -65.755877       ...       -41.763078   \n",
       "23   -69.051400 -69.051400 -69.051400 -68.359101       ...       -57.681647   \n",
       "24   -65.818869 -65.629539 -64.802625 -65.818869       ...       -65.818869   \n",
       "25   -68.089201 -67.897329 -65.258010 -67.170980       ...       -29.354753   \n",
       "26   -57.955046 -61.224968 -63.782931 -63.796762       ...       -62.505021   \n",
       "27   -52.760702 -51.047829 -50.953316 -50.094384       ...       -31.906057   \n",
       "28   -63.686438 -63.686438 -63.686438 -63.686438       ...       -63.686438   \n",
       "29   -58.389652 -58.389652 -58.389652 -58.389652       ...       -58.389652   \n",
       "...         ...        ...        ...        ...       ...              ...   \n",
       "1207 -67.128017 -67.128017 -67.128017 -67.128017       ...       -52.192277   \n",
       "1208 -59.319399 -59.590825 -59.591379 -59.675603       ...       -34.058435   \n",
       "1209 -54.677157 -54.677157 -54.677157 -54.677157       ...       -38.009244   \n",
       "1210 -59.849780 -59.849780 -59.863135 -60.327359       ...       -58.885912   \n",
       "1211 -55.382404 -55.439658 -55.337597 -54.012888       ...       -35.287239   \n",
       "1212 -44.552925 -44.552925 -44.552925 -44.552925       ...       -38.175252   \n",
       "1213 -43.489744 -46.490625 -50.799665 -50.240377       ...       -45.281609   \n",
       "1214 -57.332370 -57.332370 -57.332370 -57.332370       ...       -56.565868   \n",
       "1215 -56.402303 -55.341964 -55.211303 -56.189707       ...       -45.765619   \n",
       "1216 -64.678723 -64.678723 -64.678723 -64.678723       ...       -61.665689   \n",
       "1217 -65.562365 -65.562365 -65.562365 -65.562365       ...       -61.889744   \n",
       "1218 -68.056359 -67.975604 -67.535529 -67.833166       ...       -58.913939   \n",
       "1219 -65.356763 -65.356763 -65.356763 -65.356763       ...       -57.523709   \n",
       "1220 -45.194876 -45.194876 -45.194876 -45.194876       ...       -45.666244   \n",
       "1221 -52.044049 -52.044049 -52.044049 -52.044049       ...       -51.989357   \n",
       "1222 -60.420515 -59.816253 -60.189272 -60.110914       ...       -58.988811   \n",
       "1223 -57.077028 -56.940813 -56.940813 -57.228633       ...       -42.686466   \n",
       "1224 -63.942344 -63.942344 -63.942344 -63.942344       ...       -61.957350   \n",
       "1225 -71.407071 -71.407071 -71.407071 -71.407071       ...       -64.321623   \n",
       "1226 -64.968548 -64.968548 -64.968548 -67.252646       ...       -64.678076   \n",
       "1227 -55.767393 -55.767393 -55.767393 -55.767393       ...       -36.569010   \n",
       "1228 -73.548430 -71.061247 -71.375159 -73.176079       ...       -47.070428   \n",
       "1229 -66.626091 -66.020631 -66.533440 -64.211415       ...       -60.016013   \n",
       "1230 -64.448001 -64.448001 -64.448001 -64.244446       ...       -45.155677   \n",
       "1231 -53.286076 -52.388832 -52.388832 -52.399767       ...       -44.524053   \n",
       "1232 -69.567537 -69.567537 -69.567537 -69.567537       ...       -43.286208   \n",
       "1233 -56.128047 -55.966648 -55.947412 -55.989351       ...       -25.450151   \n",
       "1234 -53.054884 -53.054884 -53.054884 -53.054884       ...       -50.203255   \n",
       "1235 -64.206723 -64.206723 -64.206723 -64.206723       ...       -59.251821   \n",
       "1236 -52.199923 -52.218305 -52.633871 -51.629967       ...       -50.145131   \n",
       "\n",
       "            208        209        210        211        212        213  \\\n",
       "0    -61.761406 -60.348411 -60.160468 -61.384289 -60.519129 -61.495963   \n",
       "1    -61.508001 -61.508001 -61.508001 -61.508001 -61.508001 -61.508001   \n",
       "2    -56.156944 -56.156944 -55.844215 -56.156944 -56.156944 -56.156944   \n",
       "3    -40.466040 -40.448086 -42.883065 -43.367558 -46.280296 -48.273818   \n",
       "4    -41.002176 -41.728109 -41.608780 -43.741884 -45.259488 -44.909683   \n",
       "5    -63.291237 -65.844225 -65.121000 -59.515303 -59.591485 -66.712170   \n",
       "6    -54.260574 -55.809029 -54.627146 -53.186850 -53.998237 -53.535159   \n",
       "7    -29.425555 -31.255728 -34.011845 -34.322584 -33.564934 -36.074428   \n",
       "8    -49.632920 -55.102587 -55.481730 -52.952234 -51.401589 -54.072970   \n",
       "9    -53.505840 -54.222252 -51.545521 -52.573785 -54.786292 -56.344280   \n",
       "10   -57.741989 -59.796385 -60.975377 -62.663056 -64.573480 -63.782612   \n",
       "11   -60.341144 -63.465331 -64.500144 -61.646850 -58.001485 -58.848490   \n",
       "12   -50.955292 -55.110642 -53.636647 -57.134217 -58.249914 -56.417940   \n",
       "13   -64.036734 -64.463488 -65.204989 -64.805729 -64.463925 -61.400518   \n",
       "14   -32.474731 -34.334454 -38.280955 -39.110355 -41.010279 -40.282721   \n",
       "15   -64.930130 -65.332128 -64.116934 -64.319911 -64.971422 -63.155779   \n",
       "16   -50.191141 -52.827795 -52.266746 -52.902039 -55.671309 -54.770633   \n",
       "17   -54.096441 -53.427294 -59.046055 -57.349793 -58.454388 -59.379402   \n",
       "18   -33.775317 -36.061379 -38.142237 -38.785398 -39.644426 -41.592496   \n",
       "19   -23.641674 -24.689784 -27.675552 -29.822065 -30.353207 -30.983005   \n",
       "20   -70.229631 -70.229631 -70.229631 -66.133574 -62.637364 -66.394377   \n",
       "21   -48.008283 -50.184724 -51.803760 -51.938013 -51.970586 -51.551021   \n",
       "22   -43.194898 -44.881519 -45.717573 -48.605297 -53.018700 -49.683550   \n",
       "23   -56.301264 -58.650128 -63.881082 -63.749409 -65.222466 -65.308242   \n",
       "24   -65.818869 -65.818869 -65.438060 -65.684853 -65.818869 -65.818869   \n",
       "25   -30.388718 -30.094085 -30.615464 -31.126341 -31.148714 -31.413186   \n",
       "26   -59.518870 -60.482347 -58.338576 -58.965295 -63.520669 -63.769352   \n",
       "27   -32.806936 -33.447647 -34.668094 -34.520308 -37.190555 -40.918852   \n",
       "28   -63.686438 -63.686438 -63.686438 -63.686438 -63.686438 -63.686438   \n",
       "29   -58.389652 -57.649487 -58.025433 -58.389652 -58.389652 -58.389652   \n",
       "...         ...        ...        ...        ...        ...        ...   \n",
       "1207 -53.082673 -54.695262 -52.384729 -53.175544 -54.981104 -54.078131   \n",
       "1208 -34.644343 -34.442063 -36.707547 -41.146307 -43.172390 -42.835244   \n",
       "1209 -40.035804 -39.657108 -40.550019 -43.559956 -45.444457 -46.496016   \n",
       "1210 -59.354939 -59.807379 -59.775160 -58.808937 -57.853232 -58.398109   \n",
       "1211 -39.428942 -41.273553 -40.047037 -40.112812 -43.898186 -46.512260   \n",
       "1212 -37.902636 -40.407236 -40.815793 -41.241603 -41.736607 -43.396698   \n",
       "1213 -48.504020 -50.357992 -44.687362 -43.194414 -46.666642 -50.128142   \n",
       "1214 -57.332370 -56.719102 -56.908147 -56.898329 -57.050586 -57.332370   \n",
       "1215 -45.138881 -45.866570 -44.450824 -45.075534 -47.864657 -49.669654   \n",
       "1216 -61.047234 -59.299474 -60.432158 -62.515880 -64.088474 -64.658195   \n",
       "1217 -61.001034 -61.759804 -62.241800 -62.069901 -61.062766 -58.563208   \n",
       "1218 -57.802619 -59.957985 -62.548852 -66.173967 -64.493243 -62.488814   \n",
       "1219 -56.629023 -57.543099 -58.982573 -57.795045 -57.904399 -58.457920   \n",
       "1220 -45.259188 -45.147653 -45.233620 -45.194876 -45.194876 -45.194876   \n",
       "1221 -52.044049 -52.044049 -52.044049 -52.044049 -52.044049 -52.044049   \n",
       "1222 -58.988811 -58.916401 -58.988811 -58.988811 -58.988811 -58.988811   \n",
       "1223 -44.226132 -44.101891 -43.651345 -45.493498 -47.759692 -50.536515   \n",
       "1224 -63.942344 -63.942344 -63.942344 -63.933362 -63.799121 -63.616188   \n",
       "1225 -66.922372 -70.591707 -69.530834 -66.970003 -66.873352 -68.084319   \n",
       "1226 -64.360786 -64.642809 -62.274782 -62.417866 -63.560128 -63.105106   \n",
       "1227 -36.725955 -38.104478 -38.821533 -38.295397 -36.559404 -36.244597   \n",
       "1228 -48.173410 -49.330655 -51.711174 -52.365458 -54.464719 -56.410372   \n",
       "1229 -61.026796 -61.306973 -61.006645 -60.669009 -62.031732 -64.399412   \n",
       "1230 -46.213197 -48.122823 -45.521263 -45.774197 -49.803602 -51.963733   \n",
       "1231 -46.362766 -46.383047 -47.492377 -51.348980 -51.252681 -50.509345   \n",
       "1232 -43.042348 -42.400162 -42.409806 -41.685644 -41.405289 -42.035714   \n",
       "1233 -26.664525 -28.591213 -29.936010 -29.608872 -31.826348 -36.193416   \n",
       "1234 -49.621696 -52.275230 -51.447833 -51.883657 -52.533490 -50.991376   \n",
       "1235 -58.833817 -57.978339 -61.298153 -58.773552 -60.140413 -63.886547   \n",
       "1236 -48.712166 -47.603032 -45.205415 -44.438685 -48.720497 -50.850345   \n",
       "\n",
       "            214        215             0    \n",
       "0    -61.862374 -60.531564    male_neutral  \n",
       "1    -61.508001 -61.508001    male_neutral  \n",
       "2    -56.156944 -56.156944    male_neutral  \n",
       "3    -49.745182 -50.472916    male_neutral  \n",
       "4    -44.988356 -44.630824       male_calm  \n",
       "5    -67.736151 -67.736151       male_calm  \n",
       "6    -57.203741 -59.989199       male_calm  \n",
       "7    -37.658693 -38.917999       male_calm  \n",
       "8    -52.639566 -52.664178       male_calm  \n",
       "9    -57.508212 -56.577322       male_calm  \n",
       "10   -61.515785 -58.214885      male_happy  \n",
       "11   -62.603930 -61.121783      male_happy  \n",
       "12   -54.576753 -51.933967      male_happy  \n",
       "13   -60.954330 -62.738246      male_happy  \n",
       "14   -41.454053 -44.383208      male_happy  \n",
       "15   -64.178668 -63.061902      male_happy  \n",
       "16   -55.084441 -54.702373      male_happy  \n",
       "17   -60.010827 -60.010827      male_happy  \n",
       "18   -45.736790 -42.881675        male_sad  \n",
       "19   -29.849928 -29.777451        male_sad  \n",
       "20   -70.229631 -70.229631        male_sad  \n",
       "21   -54.941525 -56.443121        male_sad  \n",
       "22   -51.019885 -57.109811        male_sad  \n",
       "23   -67.008563 -68.636299        male_sad  \n",
       "24   -65.818869 -65.818869        male_sad  \n",
       "25   -31.356208 -30.060384        male_sad  \n",
       "26   -63.829853 -62.814244      male_angry  \n",
       "27   -41.119227 -38.409354      male_angry  \n",
       "28   -63.686438 -63.686438      male_angry  \n",
       "29   -58.389652 -58.389652      male_angry  \n",
       "...         ...        ...             ...  \n",
       "1207 -54.207101 -56.474811     female_calm  \n",
       "1208 -46.150078 -45.851973     female_calm  \n",
       "1209 -46.470699 -47.322224     female_calm  \n",
       "1210 -59.114060 -58.564454    female_happy  \n",
       "1211 -45.556203 -43.528693    female_happy  \n",
       "1212 -42.237670 -41.635098    female_happy  \n",
       "1213 -50.941980 -50.317816    female_happy  \n",
       "1214 -57.262080 -57.332370    female_happy  \n",
       "1215 -52.591634 -54.877643    female_happy  \n",
       "1216 -64.604102 -64.560031    female_happy  \n",
       "1217 -60.640275 -63.574741    female_happy  \n",
       "1218 -63.460311 -64.412657      female_sad  \n",
       "1219 -60.506432 -59.845687      female_sad  \n",
       "1220 -45.194876 -45.194876      female_sad  \n",
       "1221 -52.044049 -52.044049    female_angry  \n",
       "1222 -58.988811 -58.988811    female_angry  \n",
       "1223 -51.336391 -50.690862  female_fearful  \n",
       "1224 -63.476149 -63.391090  female_fearful  \n",
       "1225 -70.437988 -70.868711  female_fearful  \n",
       "1226 -63.359077 -63.284678  female_fearful  \n",
       "1227 -35.140083 -32.330563  female_fearful  \n",
       "1228 -56.113212 -54.474242  female_disgust  \n",
       "1229 -64.815625 -64.799419  female_surpise  \n",
       "1230 -52.965988 -52.242500  female_surpise  \n",
       "1231 -49.606151 -47.599135  female_surpise  \n",
       "1232 -40.774790 -38.137740  female_surpise  \n",
       "1233 -37.252570 -37.633020  female_surpise  \n",
       "1234 -48.410666 -47.317401  female_surpise  \n",
       "1235 -63.014960 -63.745278  female_surpise  \n",
       "1236 -50.327162 -48.915758  female_surpise  \n",
       "\n",
       "[1237 rows x 217 columns]"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "labeledDf"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [],
   "source": [
    "named = labeledDf.rename(index=str, columns={\"0\":\"label\"})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.utils import shuffle\n",
    "renamed = shuffle(named)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "    <tr style=\"text-align: right;\">\n",
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       "      <th>0</th>\n",
       "      <th>1</th>\n",
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       "      <th>208</th>\n",
       "      <th>209</th>\n",
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       "    <tr>\n",
       "      <th>1058</th>\n",
       "      <td>-79.309150</td>\n",
       "      <td>-79.309150</td>\n",
       "      <td>-79.309150</td>\n",
       "      <td>-79.309150</td>\n",
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       "      <td>-79.309150</td>\n",
       "      <td>-79.309150</td>\n",
       "      <td>-79.309150</td>\n",
       "      <td>...</td>\n",
       "      <td>-68.866125</td>\n",
       "      <td>-70.879400</td>\n",
       "      <td>-73.272181</td>\n",
       "      <td>-67.424679</td>\n",
       "      <td>-65.619448</td>\n",
       "      <td>-63.118954</td>\n",
       "      <td>-63.787244</td>\n",
       "      <td>-66.494020</td>\n",
       "      <td>-66.106942</td>\n",
       "      <td>female_surpise</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>803</th>\n",
       "      <td>-64.247620</td>\n",
       "      <td>-64.373116</td>\n",
       "      <td>-63.817062</td>\n",
       "      <td>-60.828506</td>\n",
       "      <td>-58.402493</td>\n",
       "      <td>-51.610943</td>\n",
       "      <td>-51.796620</td>\n",
       "      <td>-52.992585</td>\n",
       "      <td>-54.142099</td>\n",
       "      <td>-52.943971</td>\n",
       "      <td>...</td>\n",
       "      <td>-47.849436</td>\n",
       "      <td>-48.964547</td>\n",
       "      <td>-48.379615</td>\n",
       "      <td>-47.041026</td>\n",
       "      <td>-46.480041</td>\n",
       "      <td>-46.190387</td>\n",
       "      <td>-46.501645</td>\n",
       "      <td>-46.433923</td>\n",
       "      <td>-47.593557</td>\n",
       "      <td>male_surprise</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>53</th>\n",
       "      <td>-64.894397</td>\n",
       "      <td>-64.894397</td>\n",
       "      <td>-64.894397</td>\n",
       "      <td>-64.894397</td>\n",
       "      <td>-64.894397</td>\n",
       "      <td>-64.894397</td>\n",
       "      <td>-64.894397</td>\n",
       "      <td>-64.894397</td>\n",
       "      <td>-64.894397</td>\n",
       "      <td>-64.894397</td>\n",
       "      <td>...</td>\n",
       "      <td>-55.871372</td>\n",
       "      <td>-52.304884</td>\n",
       "      <td>-53.291198</td>\n",
       "      <td>-59.366247</td>\n",
       "      <td>-58.611711</td>\n",
       "      <td>-56.177619</td>\n",
       "      <td>-56.868883</td>\n",
       "      <td>-60.205536</td>\n",
       "      <td>-62.329517</td>\n",
       "      <td>female_calm</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80</th>\n",
       "      <td>-55.217309</td>\n",
       "      <td>-57.142352</td>\n",
       "      <td>-56.979509</td>\n",
       "      <td>-56.664986</td>\n",
       "      <td>-57.439550</td>\n",
       "      <td>-57.614163</td>\n",
       "      <td>-57.124357</td>\n",
       "      <td>-56.951166</td>\n",
       "      <td>-56.631125</td>\n",
       "      <td>-56.283090</td>\n",
       "      <td>...</td>\n",
       "      <td>-53.750141</td>\n",
       "      <td>-56.681749</td>\n",
       "      <td>-56.086068</td>\n",
       "      <td>-57.121125</td>\n",
       "      <td>-57.198056</td>\n",
       "      <td>-57.852790</td>\n",
       "      <td>-57.664425</td>\n",
       "      <td>-55.603506</td>\n",
       "      <td>-54.206286</td>\n",
       "      <td>female_fearful</td>\n",
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       "    <tr>\n",
       "      <th>369</th>\n",
       "      <td>-55.309755</td>\n",
       "      <td>-53.135627</td>\n",
       "      <td>-53.411575</td>\n",
       "      <td>-53.746281</td>\n",
       "      <td>-52.089333</td>\n",
       "      <td>-52.538318</td>\n",
       "      <td>-52.818341</td>\n",
       "      <td>-52.520157</td>\n",
       "      <td>-54.157408</td>\n",
       "      <td>-56.611049</td>\n",
       "      <td>...</td>\n",
       "      <td>-52.228938</td>\n",
       "      <td>-52.653944</td>\n",
       "      <td>-51.813917</td>\n",
       "      <td>-52.422211</td>\n",
       "      <td>-53.317482</td>\n",
       "      <td>-51.357122</td>\n",
       "      <td>-52.184839</td>\n",
       "      <td>-53.723655</td>\n",
       "      <td>-51.837224</td>\n",
       "      <td>female_happy</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>67</th>\n",
       "      <td>-61.161481</td>\n",
       "      <td>-61.161481</td>\n",
       "      <td>-61.161481</td>\n",
       "      <td>-61.161481</td>\n",
       "      <td>-61.161481</td>\n",
       "      <td>-61.161481</td>\n",
       "      <td>-61.161481</td>\n",
       "      <td>-61.161481</td>\n",
       "      <td>-61.161481</td>\n",
       "      <td>-61.161481</td>\n",
       "      <td>...</td>\n",
       "      <td>-55.272283</td>\n",
       "      <td>-58.792892</td>\n",
       "      <td>-58.944671</td>\n",
       "      <td>-58.572789</td>\n",
       "      <td>-56.419658</td>\n",
       "      <td>-56.884215</td>\n",
       "      <td>-59.682174</td>\n",
       "      <td>-60.086037</td>\n",
       "      <td>-58.741867</td>\n",
       "      <td>female_sad</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>222</th>\n",
       "      <td>-39.749325</td>\n",
       "      <td>-39.749325</td>\n",
       "      <td>-39.749325</td>\n",
       "      <td>-39.749325</td>\n",
       "      <td>-39.749325</td>\n",
       "      <td>-39.749325</td>\n",
       "      <td>-39.749325</td>\n",
       "      <td>-39.749325</td>\n",
       "      <td>-39.749325</td>\n",
       "      <td>-39.749325</td>\n",
       "      <td>...</td>\n",
       "      <td>-38.703549</td>\n",
       "      <td>-39.578304</td>\n",
       "      <td>-39.625226</td>\n",
       "      <td>-39.157460</td>\n",
       "      <td>-39.267257</td>\n",
       "      <td>-39.749325</td>\n",
       "      <td>-39.749325</td>\n",
       "      <td>-39.749325</td>\n",
       "      <td>-39.749325</td>\n",
       "      <td>male_sad</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1176</th>\n",
       "      <td>-52.765701</td>\n",
       "      <td>-52.765701</td>\n",
       "      <td>-52.765701</td>\n",
       "      <td>-52.765701</td>\n",
       "      <td>-52.765701</td>\n",
       "      <td>-52.765701</td>\n",
       "      <td>-52.566388</td>\n",
       "      <td>-51.456360</td>\n",
       "      <td>-51.228733</td>\n",
       "      <td>-51.377650</td>\n",
       "      <td>...</td>\n",
       "      <td>-52.273590</td>\n",
       "      <td>-52.550974</td>\n",
       "      <td>-52.765701</td>\n",
       "      <td>-52.765701</td>\n",
       "      <td>-52.765701</td>\n",
       "      <td>-52.765701</td>\n",
       "      <td>-52.765701</td>\n",
       "      <td>-52.765701</td>\n",
       "      <td>-52.765701</td>\n",
       "      <td>male_angry</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>829</th>\n",
       "      <td>-35.319465</td>\n",
       "      <td>-39.132699</td>\n",
       "      <td>-39.785703</td>\n",
       "      <td>-37.674017</td>\n",
       "      <td>-37.200961</td>\n",
       "      <td>-35.843159</td>\n",
       "      <td>-36.003844</td>\n",
       "      <td>-37.002807</td>\n",
       "      <td>-38.095702</td>\n",
       "      <td>-41.360303</td>\n",
       "      <td>...</td>\n",
       "      <td>-39.295047</td>\n",
       "      <td>-37.979322</td>\n",
       "      <td>-38.666503</td>\n",
       "      <td>-39.226166</td>\n",
       "      <td>-39.982413</td>\n",
       "      <td>-39.395069</td>\n",
       "      <td>-38.948013</td>\n",
       "      <td>-40.996470</td>\n",
       "      <td>-40.479915</td>\n",
       "      <td>female_sad</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>585</th>\n",
       "      <td>-62.627153</td>\n",
       "      <td>-62.568323</td>\n",
       "      <td>-61.628763</td>\n",
       "      <td>-62.030573</td>\n",
       "      <td>-62.627153</td>\n",
       "      <td>-62.627153</td>\n",
       "      <td>-62.627153</td>\n",
       "      <td>-62.627153</td>\n",
       "      <td>-62.627153</td>\n",
       "      <td>-62.627153</td>\n",
       "      <td>...</td>\n",
       "      <td>-54.196675</td>\n",
       "      <td>-53.794721</td>\n",
       "      <td>-54.912960</td>\n",
       "      <td>-53.278996</td>\n",
       "      <td>-54.207670</td>\n",
       "      <td>-55.128292</td>\n",
       "      <td>-55.759278</td>\n",
       "      <td>-53.931032</td>\n",
       "      <td>-52.580857</td>\n",
       "      <td>female_calm</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>10 rows × 217 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "            0          1          2          3          4          5    \\\n",
       "1058 -79.309150 -79.309150 -79.309150 -79.309150 -79.309150 -79.309150   \n",
       "803  -64.247620 -64.373116 -63.817062 -60.828506 -58.402493 -51.610943   \n",
       "53   -64.894397 -64.894397 -64.894397 -64.894397 -64.894397 -64.894397   \n",
       "80   -55.217309 -57.142352 -56.979509 -56.664986 -57.439550 -57.614163   \n",
       "369  -55.309755 -53.135627 -53.411575 -53.746281 -52.089333 -52.538318   \n",
       "67   -61.161481 -61.161481 -61.161481 -61.161481 -61.161481 -61.161481   \n",
       "222  -39.749325 -39.749325 -39.749325 -39.749325 -39.749325 -39.749325   \n",
       "1176 -52.765701 -52.765701 -52.765701 -52.765701 -52.765701 -52.765701   \n",
       "829  -35.319465 -39.132699 -39.785703 -37.674017 -37.200961 -35.843159   \n",
       "585  -62.627153 -62.568323 -61.628763 -62.030573 -62.627153 -62.627153   \n",
       "\n",
       "            6          7          8          9         ...              207  \\\n",
       "1058 -79.309150 -79.309150 -79.309150 -79.309150       ...       -68.866125   \n",
       "803  -51.796620 -52.992585 -54.142099 -52.943971       ...       -47.849436   \n",
       "53   -64.894397 -64.894397 -64.894397 -64.894397       ...       -55.871372   \n",
       "80   -57.124357 -56.951166 -56.631125 -56.283090       ...       -53.750141   \n",
       "369  -52.818341 -52.520157 -54.157408 -56.611049       ...       -52.228938   \n",
       "67   -61.161481 -61.161481 -61.161481 -61.161481       ...       -55.272283   \n",
       "222  -39.749325 -39.749325 -39.749325 -39.749325       ...       -38.703549   \n",
       "1176 -52.566388 -51.456360 -51.228733 -51.377650       ...       -52.273590   \n",
       "829  -36.003844 -37.002807 -38.095702 -41.360303       ...       -39.295047   \n",
       "585  -62.627153 -62.627153 -62.627153 -62.627153       ...       -54.196675   \n",
       "\n",
       "            208        209        210        211        212        213  \\\n",
       "1058 -70.879400 -73.272181 -67.424679 -65.619448 -63.118954 -63.787244   \n",
       "803  -48.964547 -48.379615 -47.041026 -46.480041 -46.190387 -46.501645   \n",
       "53   -52.304884 -53.291198 -59.366247 -58.611711 -56.177619 -56.868883   \n",
       "80   -56.681749 -56.086068 -57.121125 -57.198056 -57.852790 -57.664425   \n",
       "369  -52.653944 -51.813917 -52.422211 -53.317482 -51.357122 -52.184839   \n",
       "67   -58.792892 -58.944671 -58.572789 -56.419658 -56.884215 -59.682174   \n",
       "222  -39.578304 -39.625226 -39.157460 -39.267257 -39.749325 -39.749325   \n",
       "1176 -52.550974 -52.765701 -52.765701 -52.765701 -52.765701 -52.765701   \n",
       "829  -37.979322 -38.666503 -39.226166 -39.982413 -39.395069 -38.948013   \n",
       "585  -53.794721 -54.912960 -53.278996 -54.207670 -55.128292 -55.759278   \n",
       "\n",
       "            214        215             0    \n",
       "1058 -66.494020 -66.106942  female_surpise  \n",
       "803  -46.433923 -47.593557   male_surprise  \n",
       "53   -60.205536 -62.329517     female_calm  \n",
       "80   -55.603506 -54.206286  female_fearful  \n",
       "369  -53.723655 -51.837224    female_happy  \n",
       "67   -60.086037 -58.741867      female_sad  \n",
       "222  -39.749325 -39.749325        male_sad  \n",
       "1176 -52.765701 -52.765701      male_angry  \n",
       "829  -40.996470 -40.479915      female_sad  \n",
       "585  -53.931032 -52.580857     female_calm  \n",
       "\n",
       "[10 rows x 217 columns]"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "renamed[:10]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [],
   "source": [
    "renamed = renamed.fillna(0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "metadata": {},
   "outputs": [],
   "source": [
    "divider = np.random.rand(len(renamed)) < 0.85\n",
    "train = renamed[divider]\n",
    "test = renamed[~divider]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 75,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>0</th>\n",
       "      <th>1</th>\n",
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       "      <th>182</th>\n",
       "      <td>-55.895559</td>\n",
       "      <td>-55.895559</td>\n",
       "      <td>-55.895559</td>\n",
       "      <td>-55.895559</td>\n",
       "      <td>-55.895559</td>\n",
       "      <td>-55.895559</td>\n",
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       "      <td>-55.895559</td>\n",
       "      <td>-55.895559</td>\n",
       "      <td>-55.895559</td>\n",
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       "      <td>-55.878993</td>\n",
       "      <td>-55.720305</td>\n",
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       "      <td>-53.423616</td>\n",
       "      <td>-54.514522</td>\n",
       "      <td>-56.326328</td>\n",
       "      <td>-55.916817</td>\n",
       "      <td>-55.856798</td>\n",
       "      <td>-54.609526</td>\n",
       "      <td>female_fearful</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>909</th>\n",
       "      <td>-49.647638</td>\n",
       "      <td>-50.662648</td>\n",
       "      <td>-52.826906</td>\n",
       "      <td>-51.221888</td>\n",
       "      <td>-49.420939</td>\n",
       "      <td>-49.680657</td>\n",
       "      <td>-47.142643</td>\n",
       "      <td>-49.038043</td>\n",
       "      <td>-51.746490</td>\n",
       "      <td>-51.481773</td>\n",
       "      <td>...</td>\n",
       "      <td>-54.452001</td>\n",
       "      <td>-53.523456</td>\n",
       "      <td>-52.629641</td>\n",
       "      <td>-51.865753</td>\n",
       "      <td>-50.824184</td>\n",
       "      <td>-52.774172</td>\n",
       "      <td>-53.081611</td>\n",
       "      <td>-52.079972</td>\n",
       "      <td>-52.391522</td>\n",
       "      <td>male_disgust</td>\n",
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       "    <tr>\n",
       "      <th>730</th>\n",
       "      <td>-70.400550</td>\n",
       "      <td>-70.400550</td>\n",
       "      <td>-70.400550</td>\n",
       "      <td>-70.400550</td>\n",
       "      <td>-69.432192</td>\n",
       "      <td>-67.132271</td>\n",
       "      <td>-66.026492</td>\n",
       "      <td>-65.041883</td>\n",
       "      <td>-64.778713</td>\n",
       "      <td>-65.204933</td>\n",
       "      <td>...</td>\n",
       "      <td>-61.743077</td>\n",
       "      <td>-58.785375</td>\n",
       "      <td>-58.077398</td>\n",
       "      <td>-59.684619</td>\n",
       "      <td>-61.275630</td>\n",
       "      <td>-60.361666</td>\n",
       "      <td>-57.225772</td>\n",
       "      <td>-58.686888</td>\n",
       "      <td>-63.324019</td>\n",
       "      <td>female_fearful</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>591</th>\n",
       "      <td>-43.013786</td>\n",
       "      <td>-43.013786</td>\n",
       "      <td>-43.013786</td>\n",
       "      <td>-43.013786</td>\n",
       "      <td>-43.013786</td>\n",
       "      <td>-43.013786</td>\n",
       "      <td>-43.013786</td>\n",
       "      <td>-43.013786</td>\n",
       "      <td>-43.013786</td>\n",
       "      <td>-43.013786</td>\n",
       "      <td>...</td>\n",
       "      <td>-29.464094</td>\n",
       "      <td>-28.035271</td>\n",
       "      <td>-26.927565</td>\n",
       "      <td>-28.122175</td>\n",
       "      <td>-30.396886</td>\n",
       "      <td>-29.854355</td>\n",
       "      <td>-27.671695</td>\n",
       "      <td>-26.385856</td>\n",
       "      <td>-24.183284</td>\n",
       "      <td>female_calm</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>423</th>\n",
       "      <td>-61.080895</td>\n",
       "      <td>-61.470583</td>\n",
       "      <td>-61.351923</td>\n",
       "      <td>-59.571079</td>\n",
       "      <td>-59.312108</td>\n",
       "      <td>-59.351803</td>\n",
       "      <td>-62.197510</td>\n",
       "      <td>-61.885155</td>\n",
       "      <td>-59.451596</td>\n",
       "      <td>-61.568372</td>\n",
       "      <td>...</td>\n",
       "      <td>-44.797739</td>\n",
       "      <td>-44.210593</td>\n",
       "      <td>-44.046530</td>\n",
       "      <td>-44.359682</td>\n",
       "      <td>-46.438550</td>\n",
       "      <td>-48.639864</td>\n",
       "      <td>-46.470403</td>\n",
       "      <td>-47.464108</td>\n",
       "      <td>-49.256035</td>\n",
       "      <td>male_calm</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1069</th>\n",
       "      <td>-52.000726</td>\n",
       "      <td>-52.000726</td>\n",
       "      <td>-52.000726</td>\n",
       "      <td>-51.157791</td>\n",
       "      <td>-51.038548</td>\n",
       "      <td>-51.565109</td>\n",
       "      <td>-52.000726</td>\n",
       "      <td>-52.000726</td>\n",
       "      <td>-51.692669</td>\n",
       "      <td>-51.630730</td>\n",
       "      <td>...</td>\n",
       "      <td>-45.041480</td>\n",
       "      <td>-46.360539</td>\n",
       "      <td>-47.435754</td>\n",
       "      <td>-45.051733</td>\n",
       "      <td>-45.605298</td>\n",
       "      <td>-45.434120</td>\n",
       "      <td>-45.584861</td>\n",
       "      <td>-44.438182</td>\n",
       "      <td>-43.538648</td>\n",
       "      <td>male_happy</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>262</th>\n",
       "      <td>-56.335690</td>\n",
       "      <td>-54.906206</td>\n",
       "      <td>-53.692970</td>\n",
       "      <td>-53.523573</td>\n",
       "      <td>-55.157868</td>\n",
       "      <td>-55.398388</td>\n",
       "      <td>-55.014681</td>\n",
       "      <td>-53.006655</td>\n",
       "      <td>-50.264192</td>\n",
       "      <td>-49.289816</td>\n",
       "      <td>...</td>\n",
       "      <td>-55.085740</td>\n",
       "      <td>-51.844803</td>\n",
       "      <td>-53.272320</td>\n",
       "      <td>-55.002000</td>\n",
       "      <td>-49.909913</td>\n",
       "      <td>-48.875654</td>\n",
       "      <td>-49.106418</td>\n",
       "      <td>-49.231347</td>\n",
       "      <td>-50.217761</td>\n",
       "      <td>female_happy</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>839</th>\n",
       "      <td>-52.565037</td>\n",
       "      <td>-52.565037</td>\n",
       "      <td>-52.565037</td>\n",
       "      <td>-52.565037</td>\n",
       "      <td>-52.565037</td>\n",
       "      <td>-52.565037</td>\n",
       "      <td>-52.565037</td>\n",
       "      <td>-52.565037</td>\n",
       "      <td>-53.494297</td>\n",
       "      <td>-52.640799</td>\n",
       "      <td>...</td>\n",
       "      <td>-46.514663</td>\n",
       "      <td>-47.245842</td>\n",
       "      <td>-49.055834</td>\n",
       "      <td>-51.519685</td>\n",
       "      <td>-51.582134</td>\n",
       "      <td>-50.305982</td>\n",
       "      <td>-51.048231</td>\n",
       "      <td>-52.137047</td>\n",
       "      <td>-51.173593</td>\n",
       "      <td>female_angry</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>-53.913995</td>\n",
       "      <td>-53.856719</td>\n",
       "      <td>-53.552779</td>\n",
       "      <td>-53.879402</td>\n",
       "      <td>-54.017351</td>\n",
       "      <td>-54.070804</td>\n",
       "      <td>-54.128800</td>\n",
       "      <td>-54.258137</td>\n",
       "      <td>-54.262680</td>\n",
       "      <td>-54.137379</td>\n",
       "      <td>...</td>\n",
       "      <td>-41.416883</td>\n",
       "      <td>-41.197624</td>\n",
       "      <td>-45.481135</td>\n",
       "      <td>-47.965396</td>\n",
       "      <td>-49.700518</td>\n",
       "      <td>-52.673831</td>\n",
       "      <td>-52.024993</td>\n",
       "      <td>-51.075670</td>\n",
       "      <td>-52.622621</td>\n",
       "      <td>male_fearful</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>255</th>\n",
       "      <td>-56.020816</td>\n",
       "      <td>-55.617262</td>\n",
       "      <td>-55.249567</td>\n",
       "      <td>-55.412151</td>\n",
       "      <td>-54.860023</td>\n",
       "      <td>-53.800115</td>\n",
       "      <td>-51.929230</td>\n",
       "      <td>-50.367562</td>\n",
       "      <td>-49.699363</td>\n",
       "      <td>-50.277689</td>\n",
       "      <td>...</td>\n",
       "      <td>-50.861944</td>\n",
       "      <td>-49.661319</td>\n",
       "      <td>-49.058371</td>\n",
       "      <td>-47.725829</td>\n",
       "      <td>-47.595243</td>\n",
       "      <td>-48.072184</td>\n",
       "      <td>-48.019501</td>\n",
       "      <td>-48.827681</td>\n",
       "      <td>-50.340179</td>\n",
       "      <td>female_neutral</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>10 rows × 217 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "            0          1          2          3          4          5    \\\n",
       "182  -55.895559 -55.895559 -55.895559 -55.895559 -55.895559 -55.895559   \n",
       "909  -49.647638 -50.662648 -52.826906 -51.221888 -49.420939 -49.680657   \n",
       "730  -70.400550 -70.400550 -70.400550 -70.400550 -69.432192 -67.132271   \n",
       "591  -43.013786 -43.013786 -43.013786 -43.013786 -43.013786 -43.013786   \n",
       "423  -61.080895 -61.470583 -61.351923 -59.571079 -59.312108 -59.351803   \n",
       "1069 -52.000726 -52.000726 -52.000726 -51.157791 -51.038548 -51.565109   \n",
       "262  -56.335690 -54.906206 -53.692970 -53.523573 -55.157868 -55.398388   \n",
       "839  -52.565037 -52.565037 -52.565037 -52.565037 -52.565037 -52.565037   \n",
       "34   -53.913995 -53.856719 -53.552779 -53.879402 -54.017351 -54.070804   \n",
       "255  -56.020816 -55.617262 -55.249567 -55.412151 -54.860023 -53.800115   \n",
       "\n",
       "            6          7          8          9         ...              207  \\\n",
       "182  -55.895559 -55.895559 -55.895559 -55.895559       ...       -55.878993   \n",
       "909  -47.142643 -49.038043 -51.746490 -51.481773       ...       -54.452001   \n",
       "730  -66.026492 -65.041883 -64.778713 -65.204933       ...       -61.743077   \n",
       "591  -43.013786 -43.013786 -43.013786 -43.013786       ...       -29.464094   \n",
       "423  -62.197510 -61.885155 -59.451596 -61.568372       ...       -44.797739   \n",
       "1069 -52.000726 -52.000726 -51.692669 -51.630730       ...       -45.041480   \n",
       "262  -55.014681 -53.006655 -50.264192 -49.289816       ...       -55.085740   \n",
       "839  -52.565037 -52.565037 -53.494297 -52.640799       ...       -46.514663   \n",
       "34   -54.128800 -54.258137 -54.262680 -54.137379       ...       -41.416883   \n",
       "255  -51.929230 -50.367562 -49.699363 -50.277689       ...       -50.861944   \n",
       "\n",
       "            208        209        210        211        212        213  \\\n",
       "182  -55.720305 -55.895559 -53.423616 -54.514522 -56.326328 -55.916817   \n",
       "909  -53.523456 -52.629641 -51.865753 -50.824184 -52.774172 -53.081611   \n",
       "730  -58.785375 -58.077398 -59.684619 -61.275630 -60.361666 -57.225772   \n",
       "591  -28.035271 -26.927565 -28.122175 -30.396886 -29.854355 -27.671695   \n",
       "423  -44.210593 -44.046530 -44.359682 -46.438550 -48.639864 -46.470403   \n",
       "1069 -46.360539 -47.435754 -45.051733 -45.605298 -45.434120 -45.584861   \n",
       "262  -51.844803 -53.272320 -55.002000 -49.909913 -48.875654 -49.106418   \n",
       "839  -47.245842 -49.055834 -51.519685 -51.582134 -50.305982 -51.048231   \n",
       "34   -41.197624 -45.481135 -47.965396 -49.700518 -52.673831 -52.024993   \n",
       "255  -49.661319 -49.058371 -47.725829 -47.595243 -48.072184 -48.019501   \n",
       "\n",
       "            214        215             0    \n",
       "182  -55.856798 -54.609526  female_fearful  \n",
       "909  -52.079972 -52.391522    male_disgust  \n",
       "730  -58.686888 -63.324019  female_fearful  \n",
       "591  -26.385856 -24.183284     female_calm  \n",
       "423  -47.464108 -49.256035       male_calm  \n",
       "1069 -44.438182 -43.538648      male_happy  \n",
       "262  -49.231347 -50.217761    female_happy  \n",
       "839  -52.137047 -51.173593    female_angry  \n",
       "34   -51.075670 -52.622621    male_fearful  \n",
       "255  -48.827681 -50.340179  female_neutral  \n",
       "\n",
       "[10 rows x 217 columns]"
      ]
     },
     "execution_count": 75,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train[250:260]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 76,
   "metadata": {},
   "outputs": [],
   "source": [
    "trainfeatures = train.iloc[:, :-1]\n",
    "trainlabel = train.iloc[:, -1:]\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 77,
   "metadata": {},
   "outputs": [],
   "source": [
    "testfeatures = test.iloc[:, :-1]\n",
    "testlabel = test.iloc[:, -1:]\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 78,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/lucaslyon/anaconda3/lib/python3.6/site-packages/sklearn/preprocessing/label.py:111: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  y = column_or_1d(y, warn=True)\n"
     ]
    }
   ],
   "source": [
    "from keras.utils import np_utils\n",
    "from sklearn.preprocessing import LabelEncoder\n",
    "\n",
    "X_train = np.array(trainfeatures)\n",
    "y_train = np.array(trainlabel)\n",
    "X_test = np.array(testfeatures)\n",
    "y_test = np.array(testlabel)\n",
    "\n",
    "lb = LabelEncoder()\n",
    "\n",
    "y_train = np_utils.to_categorical(lb.fit_transform(y_train))\n",
    "y_test = np_utils.to_categorical(lb.fit_transform(y_test))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 79,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[0., 0., 0., ..., 0., 0., 0.],\n",
       "       [0., 0., 0., ..., 0., 0., 1.],\n",
       "       [0., 1., 0., ..., 0., 0., 0.],\n",
       "       ...,\n",
       "       [0., 0., 0., ..., 0., 1., 0.],\n",
       "       [0., 0., 0., ..., 0., 0., 0.],\n",
       "       [0., 0., 0., ..., 0., 1., 0.]], dtype=float32)"
      ]
     },
     "execution_count": 79,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "y_train"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 80,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(1079, 216)"
      ]
     },
     "execution_count": 80,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X_train.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 81,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Pad sequences\n"
     ]
    }
   ],
   "source": [
    "print('Pad sequences')\n",
    "x_traincnn =np.expand_dims(X_train, axis=2)\n",
    "x_testcnn= np.expand_dims(X_test, axis=2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "model = Sequential()\n",
    "\n",
    "model.add(Conv1D(128, 5,padding='same',\n",
    "                 input_shape=(216,1)))\n",
    "model.add(Activation('relu'))\n",
    "model.add(Conv1D(128, 5,padding='same'))\n",
    "model.add(Activation('relu'))\n",
    "model.add(Dropout(0.1))\n",
    "model.add(MaxPooling1D(pool_size=(8)))\n",
    "model.add(Conv1D(128, 5,padding='same',))\n",
    "model.add(Activation('relu'))\n",
    "model.add(Conv1D(128, 5,padding='same',))\n",
    "model.add(Activation('relu'))\n",
    "model.add(Conv1D(128, 5,padding='same',))\n",
    "model.add(Activation('relu'))\n",
    "model.add(Dropout(0.2))\n",
    "model.add(Conv1D(128, 5,padding='same',))\n",
    "model.add(Activation('relu'))\n",
    "model.add(Flatten())\n",
    "model.add(Dense(16))\n",
    "model.add(Activation('softmax'))\n",
    "opt = keras.optimizers.rmsprop(lr=0.00001, decay=1e-6)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "from keras.utils.vis_utils import plot_model\n",
    "plot_model(model, to_file='Attempt0Architecture.png', show_shapes=True, show_layer_names=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 83,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "_________________________________________________________________\n",
      "Layer (type)                 Output Shape              Param #   \n",
      "=================================================================\n",
      "conv1d_13 (Conv1D)           (None, 216, 128)          768       \n",
      "_________________________________________________________________\n",
      "activation_15 (Activation)   (None, 216, 128)          0         \n",
      "_________________________________________________________________\n",
      "conv1d_14 (Conv1D)           (None, 216, 128)          82048     \n",
      "_________________________________________________________________\n",
      "activation_16 (Activation)   (None, 216, 128)          0         \n",
      "_________________________________________________________________\n",
      "dropout_5 (Dropout)          (None, 216, 128)          0         \n",
      "_________________________________________________________________\n",
      "max_pooling1d_3 (MaxPooling1 (None, 27, 128)           0         \n",
      "_________________________________________________________________\n",
      "conv1d_15 (Conv1D)           (None, 27, 128)           82048     \n",
      "_________________________________________________________________\n",
      "activation_17 (Activation)   (None, 27, 128)           0         \n",
      "_________________________________________________________________\n",
      "conv1d_16 (Conv1D)           (None, 27, 128)           82048     \n",
      "_________________________________________________________________\n",
      "activation_18 (Activation)   (None, 27, 128)           0         \n",
      "_________________________________________________________________\n",
      "conv1d_17 (Conv1D)           (None, 27, 128)           82048     \n",
      "_________________________________________________________________\n",
      "activation_19 (Activation)   (None, 27, 128)           0         \n",
      "_________________________________________________________________\n",
      "dropout_6 (Dropout)          (None, 27, 128)           0         \n",
      "_________________________________________________________________\n",
      "conv1d_18 (Conv1D)           (None, 27, 128)           82048     \n",
      "_________________________________________________________________\n",
      "activation_20 (Activation)   (None, 27, 128)           0         \n",
      "_________________________________________________________________\n",
      "flatten_3 (Flatten)          (None, 3456)              0         \n",
      "_________________________________________________________________\n",
      "dense_3 (Dense)              (None, 16)                55312     \n",
      "_________________________________________________________________\n",
      "activation_21 (Activation)   (None, 16)                0         \n",
      "=================================================================\n",
      "Total params: 466,320\n",
      "Trainable params: 466,320\n",
      "Non-trainable params: 0\n",
      "_________________________________________________________________\n"
     ]
    }
   ],
   "source": [
    "model.summary()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 86,
   "metadata": {},
   "outputs": [],
   "source": [
    "model.compile(loss='categorical_crossentropy', optimizer=opt,metrics=['accuracy'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 87,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Train on 1079 samples, validate on 158 samples\n",
      "Epoch 1/1000\n",
      "1079/1079 [==============================] - 3s 2ms/step - loss: 2.7813 - acc: 0.0862 - val_loss: 2.7537 - val_acc: 0.0949\n",
      "Epoch 2/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.7669 - acc: 0.1001 - val_loss: 2.7483 - val_acc: 0.0823\n",
      "Epoch 3/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.7401 - acc: 0.0871 - val_loss: 2.7337 - val_acc: 0.1203\n",
      "Epoch 4/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.7217 - acc: 0.1029 - val_loss: 2.7241 - val_acc: 0.1013\n",
      "Epoch 5/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.7186 - acc: 0.1029 - val_loss: 2.7151 - val_acc: 0.1266\n",
      "Epoch 6/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.7191 - acc: 0.1057 - val_loss: 2.7137 - val_acc: 0.1139\n",
      "Epoch 7/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.7054 - acc: 0.0992 - val_loss: 2.6986 - val_acc: 0.1076\n",
      "Epoch 8/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.6894 - acc: 0.1038 - val_loss: 2.6936 - val_acc: 0.1203\n",
      "Epoch 9/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.6863 - acc: 0.1019 - val_loss: 2.6925 - val_acc: 0.1076\n",
      "Epoch 10/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.6855 - acc: 0.1103 - val_loss: 2.6744 - val_acc: 0.1076\n",
      "Epoch 11/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.6645 - acc: 0.1233 - val_loss: 2.6654 - val_acc: 0.1456\n",
      "Epoch 12/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.6614 - acc: 0.1233 - val_loss: 2.6577 - val_acc: 0.1203\n",
      "Epoch 13/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.6664 - acc: 0.1233 - val_loss: 2.6462 - val_acc: 0.1266\n",
      "Epoch 14/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.6478 - acc: 0.1010 - val_loss: 2.6421 - val_acc: 0.1519\n",
      "Epoch 15/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.6324 - acc: 0.1168 - val_loss: 2.6288 - val_acc: 0.1329\n",
      "Epoch 16/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.6173 - acc: 0.1316 - val_loss: 2.6194 - val_acc: 0.1392\n",
      "Epoch 17/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.5952 - acc: 0.1511 - val_loss: 2.6177 - val_acc: 0.1456\n",
      "Epoch 18/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.6095 - acc: 0.1251 - val_loss: 2.6054 - val_acc: 0.1076\n",
      "Epoch 19/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.5966 - acc: 0.1205 - val_loss: 2.5963 - val_acc: 0.1266\n",
      "Epoch 20/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.5792 - acc: 0.1353 - val_loss: 2.5862 - val_acc: 0.1203\n",
      "Epoch 21/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.5674 - acc: 0.1353 - val_loss: 2.5776 - val_acc: 0.1266\n",
      "Epoch 22/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.5757 - acc: 0.1140 - val_loss: 2.5602 - val_acc: 0.1392\n",
      "Epoch 23/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.5673 - acc: 0.1214 - val_loss: 2.5532 - val_acc: 0.1266\n",
      "Epoch 24/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.5541 - acc: 0.1251 - val_loss: 2.5464 - val_acc: 0.1203\n",
      "Epoch 25/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.5375 - acc: 0.1344 - val_loss: 2.5452 - val_acc: 0.1392\n",
      "Epoch 26/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.5395 - acc: 0.1446 - val_loss: 2.5328 - val_acc: 0.1456\n",
      "Epoch 27/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.5167 - acc: 0.1446 - val_loss: 2.5233 - val_acc: 0.1329\n",
      "Epoch 28/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.5306 - acc: 0.1362 - val_loss: 2.5084 - val_acc: 0.1646\n",
      "Epoch 29/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.5113 - acc: 0.1362 - val_loss: 2.5120 - val_acc: 0.1392\n",
      "Epoch 30/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.4939 - acc: 0.1455 - val_loss: 2.4985 - val_acc: 0.1076\n",
      "Epoch 31/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.4898 - acc: 0.1381 - val_loss: 2.5007 - val_acc: 0.1456\n",
      "Epoch 32/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.4860 - acc: 0.1297 - val_loss: 2.4853 - val_acc: 0.1456\n",
      "Epoch 33/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.4759 - acc: 0.1297 - val_loss: 2.4778 - val_acc: 0.1329\n",
      "Epoch 34/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.4595 - acc: 0.1427 - val_loss: 2.4777 - val_acc: 0.1392\n",
      "Epoch 35/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.4454 - acc: 0.1483 - val_loss: 2.4700 - val_acc: 0.1329\n",
      "Epoch 36/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.4544 - acc: 0.1316 - val_loss: 2.4680 - val_acc: 0.1203\n",
      "Epoch 37/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.4430 - acc: 0.1399 - val_loss: 2.4593 - val_acc: 0.1203\n",
      "Epoch 38/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.4281 - acc: 0.1399 - val_loss: 2.4537 - val_acc: 0.1329\n",
      "Epoch 39/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.4287 - acc: 0.1399 - val_loss: 2.4438 - val_acc: 0.1456\n",
      "Epoch 40/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.4346 - acc: 0.1446 - val_loss: 2.4370 - val_acc: 0.1392\n",
      "Epoch 41/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.4020 - acc: 0.1622 - val_loss: 2.4344 - val_acc: 0.1266\n",
      "Epoch 42/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.4066 - acc: 0.1437 - val_loss: 2.4412 - val_acc: 0.1392\n",
      "Epoch 43/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.4170 - acc: 0.1399 - val_loss: 2.4290 - val_acc: 0.1392\n",
      "Epoch 44/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.4130 - acc: 0.1399 - val_loss: 2.4234 - val_acc: 0.1709\n",
      "Epoch 45/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.3751 - acc: 0.1603 - val_loss: 2.4168 - val_acc: 0.1392\n",
      "Epoch 46/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.3950 - acc: 0.1464 - val_loss: 2.4087 - val_acc: 0.1519\n",
      "Epoch 47/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.3829 - acc: 0.1353 - val_loss: 2.4144 - val_acc: 0.1392\n",
      "Epoch 48/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.3817 - acc: 0.1659 - val_loss: 2.3987 - val_acc: 0.1519\n",
      "Epoch 49/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.3731 - acc: 0.1650 - val_loss: 2.4035 - val_acc: 0.1203\n",
      "Epoch 50/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.3797 - acc: 0.1474 - val_loss: 2.3941 - val_acc: 0.1456\n",
      "Epoch 51/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.3595 - acc: 0.1548 - val_loss: 2.3976 - val_acc: 0.1329\n",
      "Epoch 52/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.3684 - acc: 0.1631 - val_loss: 2.3906 - val_acc: 0.1456\n",
      "Epoch 53/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.3678 - acc: 0.1427 - val_loss: 2.3919 - val_acc: 0.1456\n",
      "Epoch 54/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.3567 - acc: 0.1483 - val_loss: 2.3919 - val_acc: 0.1203\n",
      "Epoch 55/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.3501 - acc: 0.1640 - val_loss: 2.3804 - val_acc: 0.1013\n",
      "Epoch 56/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.3588 - acc: 0.1603 - val_loss: 2.3813 - val_acc: 0.1456\n",
      "Epoch 57/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.3396 - acc: 0.1613 - val_loss: 2.3728 - val_acc: 0.1582\n",
      "Epoch 58/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.3254 - acc: 0.1770 - val_loss: 2.3759 - val_acc: 0.1329\n",
      "Epoch 59/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.3334 - acc: 0.1557 - val_loss: 2.3731 - val_acc: 0.1519\n",
      "Epoch 60/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.3302 - acc: 0.1650 - val_loss: 2.3754 - val_acc: 0.1646\n",
      "Epoch 61/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.3248 - acc: 0.1742 - val_loss: 2.3747 - val_acc: 0.1456\n",
      "Epoch 62/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.3316 - acc: 0.1511 - val_loss: 2.3733 - val_acc: 0.1392\n",
      "Epoch 63/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.3162 - acc: 0.1733 - val_loss: 2.3642 - val_acc: 0.1646\n",
      "Epoch 64/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.3189 - acc: 0.1668 - val_loss: 2.3772 - val_acc: 0.1456\n",
      "Epoch 65/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.3154 - acc: 0.1742 - val_loss: 2.3677 - val_acc: 0.1456\n",
      "Epoch 66/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.3280 - acc: 0.1585 - val_loss: 2.3651 - val_acc: 0.1329\n",
      "Epoch 67/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.3314 - acc: 0.1538 - val_loss: 2.3637 - val_acc: 0.1456\n",
      "Epoch 68/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.3043 - acc: 0.1640 - val_loss: 2.3554 - val_acc: 0.1456\n",
      "Epoch 69/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.3101 - acc: 0.1640 - val_loss: 2.3694 - val_acc: 0.1203\n",
      "Epoch 70/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.3150 - acc: 0.1631 - val_loss: 2.3546 - val_acc: 0.1266\n",
      "Epoch 71/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.2862 - acc: 0.1668 - val_loss: 2.3543 - val_acc: 0.1519\n",
      "Epoch 72/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.3049 - acc: 0.1576 - val_loss: 2.3657 - val_acc: 0.1329\n",
      "Epoch 73/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.2971 - acc: 0.1613 - val_loss: 2.3563 - val_acc: 0.1456\n",
      "Epoch 74/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.3039 - acc: 0.1613 - val_loss: 2.3567 - val_acc: 0.1139\n",
      "Epoch 75/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.2908 - acc: 0.1770 - val_loss: 2.3776 - val_acc: 0.1266\n",
      "Epoch 76/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.2927 - acc: 0.1705 - val_loss: 2.3554 - val_acc: 0.1329\n",
      "Epoch 77/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.2898 - acc: 0.1659 - val_loss: 2.3457 - val_acc: 0.1392\n",
      "Epoch 78/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.2959 - acc: 0.1613 - val_loss: 2.3508 - val_acc: 0.1139\n",
      "Epoch 79/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.2645 - acc: 0.1854 - val_loss: 2.3738 - val_acc: 0.1139\n",
      "Epoch 80/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.2735 - acc: 0.1918 - val_loss: 2.3646 - val_acc: 0.1456\n",
      "Epoch 81/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.2652 - acc: 0.1668 - val_loss: 2.3451 - val_acc: 0.1519\n",
      "Epoch 82/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.2800 - acc: 0.1807 - val_loss: 2.3466 - val_acc: 0.1392\n",
      "Epoch 83/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.2689 - acc: 0.1881 - val_loss: 2.3420 - val_acc: 0.1456\n",
      "Epoch 84/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.2737 - acc: 0.1770 - val_loss: 2.3664 - val_acc: 0.1139\n",
      "Epoch 85/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.2563 - acc: 0.1715 - val_loss: 2.3461 - val_acc: 0.1456\n",
      "Epoch 86/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.2813 - acc: 0.1650 - val_loss: 2.3573 - val_acc: 0.1013\n",
      "Epoch 87/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.2633 - acc: 0.1687 - val_loss: 2.3504 - val_acc: 0.1013\n",
      "Epoch 88/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.2619 - acc: 0.1687 - val_loss: 2.3411 - val_acc: 0.1392\n",
      "Epoch 89/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.2721 - acc: 0.1789 - val_loss: 2.3455 - val_acc: 0.1013\n",
      "Epoch 90/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.2706 - acc: 0.1733 - val_loss: 2.3535 - val_acc: 0.1139\n",
      "Epoch 91/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.2684 - acc: 0.1752 - val_loss: 2.3331 - val_acc: 0.1519\n",
      "Epoch 92/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.2600 - acc: 0.1724 - val_loss: 2.3429 - val_acc: 0.1329\n",
      "Epoch 93/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.2769 - acc: 0.1585 - val_loss: 2.3391 - val_acc: 0.1266\n",
      "Epoch 94/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.2526 - acc: 0.1696 - val_loss: 2.3388 - val_acc: 0.1519\n",
      "Epoch 95/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.2540 - acc: 0.1854 - val_loss: 2.3367 - val_acc: 0.1266\n",
      "Epoch 96/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.2435 - acc: 0.1844 - val_loss: 2.3373 - val_acc: 0.1329\n",
      "Epoch 97/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.2496 - acc: 0.1566 - val_loss: 2.3417 - val_acc: 0.1266\n",
      "Epoch 98/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.2484 - acc: 0.1881 - val_loss: 2.3430 - val_acc: 0.1139\n",
      "Epoch 99/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.2492 - acc: 0.1659 - val_loss: 2.3450 - val_acc: 0.1456\n",
      "Epoch 100/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.2519 - acc: 0.1742 - val_loss: 2.3392 - val_acc: 0.1139\n",
      "Epoch 101/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.2394 - acc: 0.1770 - val_loss: 2.3694 - val_acc: 0.1139\n",
      "Epoch 102/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.2468 - acc: 0.1854 - val_loss: 2.3382 - val_acc: 0.1456\n",
      "Epoch 103/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.2474 - acc: 0.1909 - val_loss: 2.3328 - val_acc: 0.1203\n",
      "Epoch 104/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.2332 - acc: 0.1835 - val_loss: 2.3540 - val_acc: 0.1013\n",
      "Epoch 105/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.2399 - acc: 0.1770 - val_loss: 2.3457 - val_acc: 0.1392\n",
      "Epoch 106/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.2395 - acc: 0.1724 - val_loss: 2.3355 - val_acc: 0.1456\n",
      "Epoch 107/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.2344 - acc: 0.1863 - val_loss: 2.3344 - val_acc: 0.1456\n",
      "Epoch 108/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.2269 - acc: 0.1779 - val_loss: 2.3670 - val_acc: 0.1203\n",
      "Epoch 109/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.2414 - acc: 0.1733 - val_loss: 2.3621 - val_acc: 0.1139\n",
      "Epoch 110/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.2204 - acc: 0.1854 - val_loss: 2.3405 - val_acc: 0.1519\n",
      "Epoch 111/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.2300 - acc: 0.1733 - val_loss: 2.3595 - val_acc: 0.1456\n",
      "Epoch 112/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.2294 - acc: 0.1844 - val_loss: 2.3281 - val_acc: 0.1266\n",
      "Epoch 113/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.2235 - acc: 0.1724 - val_loss: 2.3309 - val_acc: 0.1203\n",
      "Epoch 114/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.2387 - acc: 0.1724 - val_loss: 2.3381 - val_acc: 0.1266\n",
      "Epoch 115/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.2170 - acc: 0.2048 - val_loss: 2.3302 - val_acc: 0.1076\n",
      "Epoch 116/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.2273 - acc: 0.1872 - val_loss: 2.3377 - val_acc: 0.1076\n",
      "Epoch 117/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.2272 - acc: 0.1779 - val_loss: 2.3425 - val_acc: 0.1076\n",
      "Epoch 118/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.2217 - acc: 0.1946 - val_loss: 2.3412 - val_acc: 0.1392\n",
      "Epoch 119/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.2097 - acc: 0.1993 - val_loss: 2.3359 - val_acc: 0.1076\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 120/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.2259 - acc: 0.1918 - val_loss: 2.3533 - val_acc: 0.1076\n",
      "Epoch 121/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.2095 - acc: 0.1872 - val_loss: 2.3268 - val_acc: 0.1139\n",
      "Epoch 122/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.2195 - acc: 0.1826 - val_loss: 2.3297 - val_acc: 0.1203\n",
      "Epoch 123/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.2139 - acc: 0.2067 - val_loss: 2.4085 - val_acc: 0.1013\n",
      "Epoch 124/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.2145 - acc: 0.1900 - val_loss: 2.3403 - val_acc: 0.1139\n",
      "Epoch 125/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.1995 - acc: 0.2076 - val_loss: 2.3232 - val_acc: 0.1076\n",
      "Epoch 126/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.1959 - acc: 0.2011 - val_loss: 2.3297 - val_acc: 0.1139\n",
      "Epoch 127/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.2151 - acc: 0.1826 - val_loss: 2.3446 - val_acc: 0.1139\n",
      "Epoch 128/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.2044 - acc: 0.2057 - val_loss: 2.3367 - val_acc: 0.1203\n",
      "Epoch 129/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.2016 - acc: 0.2057 - val_loss: 2.3219 - val_acc: 0.1013\n",
      "Epoch 130/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.2152 - acc: 0.1918 - val_loss: 2.3412 - val_acc: 0.1139\n",
      "Epoch 131/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.2121 - acc: 0.1891 - val_loss: 2.3330 - val_acc: 0.1139\n",
      "Epoch 132/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.2008 - acc: 0.1974 - val_loss: 2.3473 - val_acc: 0.1329\n",
      "Epoch 133/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.2012 - acc: 0.1779 - val_loss: 2.3262 - val_acc: 0.1203\n",
      "Epoch 134/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.1918 - acc: 0.2159 - val_loss: 2.3252 - val_acc: 0.1203\n",
      "Epoch 135/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.1930 - acc: 0.2039 - val_loss: 2.3353 - val_acc: 0.1203\n",
      "Epoch 136/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.1996 - acc: 0.2076 - val_loss: 2.3309 - val_acc: 0.1329\n",
      "Epoch 137/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.1926 - acc: 0.1872 - val_loss: 2.3290 - val_acc: 0.1139\n",
      "Epoch 138/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.2026 - acc: 0.1844 - val_loss: 2.3304 - val_acc: 0.1139\n",
      "Epoch 139/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.1871 - acc: 0.2113 - val_loss: 2.3538 - val_acc: 0.1139\n",
      "Epoch 140/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.1779 - acc: 0.2215 - val_loss: 2.3208 - val_acc: 0.1139\n",
      "Epoch 141/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.1989 - acc: 0.1928 - val_loss: 2.3272 - val_acc: 0.1266\n",
      "Epoch 142/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.1990 - acc: 0.1974 - val_loss: 2.3215 - val_acc: 0.1203\n",
      "Epoch 143/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.1944 - acc: 0.2206 - val_loss: 2.3401 - val_acc: 0.1203\n",
      "Epoch 144/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.1977 - acc: 0.2011 - val_loss: 2.3333 - val_acc: 0.1203\n",
      "Epoch 145/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.1733 - acc: 0.2122 - val_loss: 2.3575 - val_acc: 0.1203\n",
      "Epoch 146/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.1838 - acc: 0.2048 - val_loss: 2.3336 - val_acc: 0.1519\n",
      "Epoch 147/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.1935 - acc: 0.1965 - val_loss: 2.3272 - val_acc: 0.1076\n",
      "Epoch 148/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.1744 - acc: 0.2169 - val_loss: 2.3347 - val_acc: 0.1203\n",
      "Epoch 149/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.1762 - acc: 0.2122 - val_loss: 2.3257 - val_acc: 0.0949\n",
      "Epoch 150/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.1762 - acc: 0.2113 - val_loss: 2.3355 - val_acc: 0.1329\n",
      "Epoch 151/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.1686 - acc: 0.2215 - val_loss: 2.3495 - val_acc: 0.1329\n",
      "Epoch 152/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.1848 - acc: 0.2095 - val_loss: 2.3260 - val_acc: 0.1139\n",
      "Epoch 153/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.1726 - acc: 0.2132 - val_loss: 2.3274 - val_acc: 0.1139\n",
      "Epoch 154/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.1627 - acc: 0.2196 - val_loss: 2.3461 - val_acc: 0.1139\n",
      "Epoch 155/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.1642 - acc: 0.2215 - val_loss: 2.3377 - val_acc: 0.1266\n",
      "Epoch 156/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.1759 - acc: 0.2057 - val_loss: 2.3505 - val_acc: 0.1203\n",
      "Epoch 157/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.1713 - acc: 0.2224 - val_loss: 2.3321 - val_acc: 0.1203\n",
      "Epoch 158/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.1684 - acc: 0.2252 - val_loss: 2.3324 - val_acc: 0.1266\n",
      "Epoch 159/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.1530 - acc: 0.2085 - val_loss: 2.3311 - val_acc: 0.1203\n",
      "Epoch 160/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.1731 - acc: 0.2057 - val_loss: 2.3373 - val_acc: 0.1076\n",
      "Epoch 161/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.1666 - acc: 0.2326 - val_loss: 2.3424 - val_acc: 0.0949\n",
      "Epoch 162/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.1621 - acc: 0.2252 - val_loss: 2.3428 - val_acc: 0.1329\n",
      "Epoch 163/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.1636 - acc: 0.2215 - val_loss: 2.3474 - val_acc: 0.1329\n",
      "Epoch 164/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.1637 - acc: 0.2169 - val_loss: 2.3290 - val_acc: 0.1266\n",
      "Epoch 165/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.1629 - acc: 0.2076 - val_loss: 2.3267 - val_acc: 0.1329\n",
      "Epoch 166/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.1561 - acc: 0.2141 - val_loss: 2.3424 - val_acc: 0.1139\n",
      "Epoch 167/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.1670 - acc: 0.2113 - val_loss: 2.3374 - val_acc: 0.1139\n",
      "Epoch 168/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.1384 - acc: 0.2224 - val_loss: 2.3682 - val_acc: 0.1203\n",
      "Epoch 169/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.1702 - acc: 0.2104 - val_loss: 2.3511 - val_acc: 0.1076\n",
      "Epoch 170/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.1455 - acc: 0.2206 - val_loss: 2.3400 - val_acc: 0.1139\n",
      "Epoch 171/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.1419 - acc: 0.2280 - val_loss: 2.3282 - val_acc: 0.1392\n",
      "Epoch 172/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.1520 - acc: 0.2178 - val_loss: 2.3424 - val_acc: 0.1266\n",
      "Epoch 173/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.1550 - acc: 0.2224 - val_loss: 2.3300 - val_acc: 0.1329\n",
      "Epoch 174/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.1617 - acc: 0.2048 - val_loss: 2.3324 - val_acc: 0.1203\n",
      "Epoch 175/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.1334 - acc: 0.2400 - val_loss: 2.3363 - val_acc: 0.1139\n",
      "Epoch 176/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.1409 - acc: 0.2178 - val_loss: 2.3336 - val_acc: 0.1076\n",
      "Epoch 177/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.1466 - acc: 0.2326 - val_loss: 2.3481 - val_acc: 0.1203\n",
      "Epoch 178/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.1487 - acc: 0.2132 - val_loss: 2.3392 - val_acc: 0.1329\n",
      "Epoch 179/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.1437 - acc: 0.2076 - val_loss: 2.3322 - val_acc: 0.1266\n",
      "Epoch 180/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.1318 - acc: 0.2354 - val_loss: 2.3675 - val_acc: 0.1139\n",
      "Epoch 181/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.1313 - acc: 0.2345 - val_loss: 2.3889 - val_acc: 0.1329\n",
      "Epoch 182/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.1345 - acc: 0.2363 - val_loss: 2.3416 - val_acc: 0.1139\n",
      "Epoch 183/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.1352 - acc: 0.2187 - val_loss: 2.3359 - val_acc: 0.1203\n",
      "Epoch 184/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.1288 - acc: 0.2169 - val_loss: 2.3352 - val_acc: 0.1266\n",
      "Epoch 185/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.1448 - acc: 0.2169 - val_loss: 2.3378 - val_acc: 0.1266\n",
      "Epoch 186/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.1334 - acc: 0.2298 - val_loss: 2.3466 - val_acc: 0.1203\n",
      "Epoch 187/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.1342 - acc: 0.2345 - val_loss: 2.3463 - val_acc: 0.1139\n",
      "Epoch 188/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.1434 - acc: 0.2252 - val_loss: 2.3459 - val_acc: 0.1203\n",
      "Epoch 189/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.1243 - acc: 0.2400 - val_loss: 2.3372 - val_acc: 0.1203\n",
      "Epoch 190/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.1162 - acc: 0.2502 - val_loss: 2.3409 - val_acc: 0.0949\n",
      "Epoch 191/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.1152 - acc: 0.2345 - val_loss: 2.3374 - val_acc: 0.1139\n",
      "Epoch 192/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.1403 - acc: 0.2178 - val_loss: 2.3351 - val_acc: 0.1076\n",
      "Epoch 193/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.1233 - acc: 0.2326 - val_loss: 2.3419 - val_acc: 0.1266\n",
      "Epoch 194/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.1183 - acc: 0.2437 - val_loss: 2.3459 - val_acc: 0.1329\n",
      "Epoch 195/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.1183 - acc: 0.2326 - val_loss: 2.3471 - val_acc: 0.1203\n",
      "Epoch 196/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.1258 - acc: 0.2234 - val_loss: 2.3583 - val_acc: 0.1203\n",
      "Epoch 197/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.1131 - acc: 0.2382 - val_loss: 2.3580 - val_acc: 0.1266\n",
      "Epoch 198/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.1250 - acc: 0.2308 - val_loss: 2.3511 - val_acc: 0.1013\n",
      "Epoch 199/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.1201 - acc: 0.2428 - val_loss: 2.3364 - val_acc: 0.1013\n",
      "Epoch 200/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.1290 - acc: 0.2410 - val_loss: 2.3904 - val_acc: 0.1076\n",
      "Epoch 201/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.0992 - acc: 0.2576 - val_loss: 2.3388 - val_acc: 0.1076\n",
      "Epoch 202/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.1106 - acc: 0.2391 - val_loss: 2.3471 - val_acc: 0.1139\n",
      "Epoch 203/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.1133 - acc: 0.2280 - val_loss: 2.3670 - val_acc: 0.1203\n",
      "Epoch 204/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.1319 - acc: 0.2475 - val_loss: 2.3486 - val_acc: 0.1203\n",
      "Epoch 205/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.1101 - acc: 0.2363 - val_loss: 2.3485 - val_acc: 0.1076\n",
      "Epoch 206/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.1247 - acc: 0.2132 - val_loss: 2.3690 - val_acc: 0.1329\n",
      "Epoch 207/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.1131 - acc: 0.2326 - val_loss: 2.3573 - val_acc: 0.1266\n",
      "Epoch 208/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.1111 - acc: 0.2363 - val_loss: 2.3489 - val_acc: 0.1076\n",
      "Epoch 209/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.1265 - acc: 0.2326 - val_loss: 2.3621 - val_acc: 0.1203\n",
      "Epoch 210/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.1057 - acc: 0.2428 - val_loss: 2.3356 - val_acc: 0.1266\n",
      "Epoch 211/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.0886 - acc: 0.2465 - val_loss: 2.3421 - val_acc: 0.1139\n",
      "Epoch 212/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.0873 - acc: 0.2363 - val_loss: 2.3503 - val_acc: 0.1266\n",
      "Epoch 213/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.1028 - acc: 0.2317 - val_loss: 2.3661 - val_acc: 0.1076\n",
      "Epoch 214/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.0977 - acc: 0.2475 - val_loss: 2.3550 - val_acc: 0.1266\n",
      "Epoch 215/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.0956 - acc: 0.2530 - val_loss: 2.3588 - val_acc: 0.1266\n",
      "Epoch 216/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.0814 - acc: 0.2465 - val_loss: 2.3486 - val_acc: 0.1076\n",
      "Epoch 217/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.0964 - acc: 0.2465 - val_loss: 2.3490 - val_acc: 0.1076\n",
      "Epoch 218/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.1017 - acc: 0.2456 - val_loss: 2.4322 - val_acc: 0.1076\n",
      "Epoch 219/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.1062 - acc: 0.2363 - val_loss: 2.3676 - val_acc: 0.1013\n",
      "Epoch 220/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.1012 - acc: 0.2345 - val_loss: 2.3555 - val_acc: 0.1139\n",
      "Epoch 221/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.0892 - acc: 0.2521 - val_loss: 2.4400 - val_acc: 0.1076\n",
      "Epoch 222/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.0924 - acc: 0.2447 - val_loss: 2.3439 - val_acc: 0.1013\n",
      "Epoch 223/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.0765 - acc: 0.2530 - val_loss: 2.3483 - val_acc: 0.0949\n",
      "Epoch 224/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.0815 - acc: 0.2660 - val_loss: 2.3587 - val_acc: 0.1266\n",
      "Epoch 225/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.0898 - acc: 0.2549 - val_loss: 2.4008 - val_acc: 0.1139\n",
      "Epoch 226/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.0771 - acc: 0.2549 - val_loss: 2.3455 - val_acc: 0.1076\n",
      "Epoch 227/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.0777 - acc: 0.2567 - val_loss: 2.3753 - val_acc: 0.1013\n",
      "Epoch 228/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.0669 - acc: 0.2493 - val_loss: 2.3658 - val_acc: 0.1266\n",
      "Epoch 229/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.0769 - acc: 0.2512 - val_loss: 2.3608 - val_acc: 0.1076\n",
      "Epoch 230/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.0702 - acc: 0.2623 - val_loss: 2.3471 - val_acc: 0.1139\n",
      "Epoch 231/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.0725 - acc: 0.2493 - val_loss: 2.3629 - val_acc: 0.1013\n",
      "Epoch 232/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.0782 - acc: 0.2428 - val_loss: 2.4144 - val_acc: 0.1266\n",
      "Epoch 233/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.0810 - acc: 0.2437 - val_loss: 2.3569 - val_acc: 0.0949\n",
      "Epoch 234/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.0791 - acc: 0.2576 - val_loss: 2.3645 - val_acc: 0.1076\n",
      "Epoch 235/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.0837 - acc: 0.2382 - val_loss: 2.3596 - val_acc: 0.1266\n",
      "Epoch 236/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.0772 - acc: 0.2521 - val_loss: 2.3624 - val_acc: 0.1266\n",
      "Epoch 237/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.0678 - acc: 0.2484 - val_loss: 2.3909 - val_acc: 0.1329\n",
      "Epoch 238/1000\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.0829 - acc: 0.2437 - val_loss: 2.3591 - val_acc: 0.1139\n",
      "Epoch 239/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.0521 - acc: 0.2632 - val_loss: 2.3638 - val_acc: 0.1203\n",
      "Epoch 240/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.0714 - acc: 0.2586 - val_loss: 2.3681 - val_acc: 0.1013\n",
      "Epoch 241/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.0578 - acc: 0.2678 - val_loss: 2.4639 - val_acc: 0.1266\n",
      "Epoch 242/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.0596 - acc: 0.2604 - val_loss: 2.3542 - val_acc: 0.1139\n",
      "Epoch 243/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.0560 - acc: 0.2604 - val_loss: 2.3666 - val_acc: 0.1266\n",
      "Epoch 244/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.0508 - acc: 0.2697 - val_loss: 2.4003 - val_acc: 0.1139\n",
      "Epoch 245/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.0680 - acc: 0.2530 - val_loss: 2.3673 - val_acc: 0.1076\n",
      "Epoch 246/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.0610 - acc: 0.2734 - val_loss: 2.3747 - val_acc: 0.1013\n",
      "Epoch 247/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.0551 - acc: 0.2595 - val_loss: 2.3831 - val_acc: 0.1139\n",
      "Epoch 248/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.0614 - acc: 0.2484 - val_loss: 2.3636 - val_acc: 0.1203\n",
      "Epoch 249/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.0513 - acc: 0.2706 - val_loss: 2.4607 - val_acc: 0.1203\n",
      "Epoch 250/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.0628 - acc: 0.2604 - val_loss: 2.3629 - val_acc: 0.1013\n",
      "Epoch 251/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.0404 - acc: 0.2836 - val_loss: 2.3926 - val_acc: 0.1076\n",
      "Epoch 252/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.0591 - acc: 0.2530 - val_loss: 2.4656 - val_acc: 0.1013\n",
      "Epoch 253/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.0537 - acc: 0.2725 - val_loss: 2.3572 - val_acc: 0.1203\n",
      "Epoch 254/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.0557 - acc: 0.2641 - val_loss: 2.3625 - val_acc: 0.1456\n",
      "Epoch 255/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.0486 - acc: 0.2595 - val_loss: 2.4969 - val_acc: 0.1076\n",
      "Epoch 256/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.0481 - acc: 0.2632 - val_loss: 2.4573 - val_acc: 0.1076\n",
      "Epoch 257/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.0290 - acc: 0.2966 - val_loss: 2.3624 - val_acc: 0.1013\n",
      "Epoch 258/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.0516 - acc: 0.2456 - val_loss: 2.3604 - val_acc: 0.1076\n",
      "Epoch 259/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.0392 - acc: 0.2780 - val_loss: 2.3566 - val_acc: 0.1203\n",
      "Epoch 260/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.0421 - acc: 0.2873 - val_loss: 2.3677 - val_acc: 0.1392\n",
      "Epoch 261/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.0498 - acc: 0.2799 - val_loss: 2.3643 - val_acc: 0.0949\n",
      "Epoch 262/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.0295 - acc: 0.2743 - val_loss: 2.3681 - val_acc: 0.1076\n",
      "Epoch 263/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.0498 - acc: 0.2549 - val_loss: 2.4006 - val_acc: 0.1139\n",
      "Epoch 264/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.0296 - acc: 0.2808 - val_loss: 2.3653 - val_acc: 0.1139\n",
      "Epoch 265/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.0248 - acc: 0.2836 - val_loss: 2.3735 - val_acc: 0.1266\n",
      "Epoch 266/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.0355 - acc: 0.2521 - val_loss: 2.3639 - val_acc: 0.1203\n",
      "Epoch 267/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.0261 - acc: 0.2660 - val_loss: 2.3709 - val_acc: 0.1139\n",
      "Epoch 268/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.0321 - acc: 0.2984 - val_loss: 2.3660 - val_acc: 0.0949\n",
      "Epoch 269/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.0225 - acc: 0.2836 - val_loss: 2.3645 - val_acc: 0.1013\n",
      "Epoch 270/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.0358 - acc: 0.2753 - val_loss: 2.3698 - val_acc: 0.1013\n",
      "Epoch 271/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.0366 - acc: 0.2817 - val_loss: 2.4100 - val_acc: 0.1013\n",
      "Epoch 272/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.0272 - acc: 0.2697 - val_loss: 2.3851 - val_acc: 0.1076\n",
      "Epoch 273/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.0226 - acc: 0.2817 - val_loss: 2.3980 - val_acc: 0.1266\n",
      "Epoch 274/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.0193 - acc: 0.2984 - val_loss: 2.3775 - val_acc: 0.1203\n",
      "Epoch 275/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.0194 - acc: 0.2929 - val_loss: 2.3988 - val_acc: 0.1139\n",
      "Epoch 276/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.0334 - acc: 0.2845 - val_loss: 2.3659 - val_acc: 0.1266\n",
      "Epoch 277/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.0317 - acc: 0.2715 - val_loss: 2.3747 - val_acc: 0.1329\n",
      "Epoch 278/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.0206 - acc: 0.2956 - val_loss: 2.4048 - val_acc: 0.1076\n",
      "Epoch 279/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.0195 - acc: 0.2910 - val_loss: 2.3852 - val_acc: 0.1139\n",
      "Epoch 280/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.0112 - acc: 0.2669 - val_loss: 2.3792 - val_acc: 0.1013\n",
      "Epoch 281/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.0236 - acc: 0.2790 - val_loss: 2.3911 - val_acc: 0.1076\n",
      "Epoch 282/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.0253 - acc: 0.2743 - val_loss: 2.3996 - val_acc: 0.0949\n",
      "Epoch 283/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.0034 - acc: 0.3003 - val_loss: 2.4105 - val_acc: 0.1203\n",
      "Epoch 284/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.0052 - acc: 0.2947 - val_loss: 2.4141 - val_acc: 0.1076\n",
      "Epoch 285/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.0120 - acc: 0.2669 - val_loss: 2.4001 - val_acc: 0.1329\n",
      "Epoch 286/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.9979 - acc: 0.2956 - val_loss: 2.3823 - val_acc: 0.0949\n",
      "Epoch 287/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.0084 - acc: 0.2975 - val_loss: 2.4557 - val_acc: 0.0886\n",
      "Epoch 288/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.9862 - acc: 0.2929 - val_loss: 2.4120 - val_acc: 0.1013\n",
      "Epoch 289/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.0008 - acc: 0.2799 - val_loss: 2.3905 - val_acc: 0.1266\n",
      "Epoch 290/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.9897 - acc: 0.3086 - val_loss: 2.3750 - val_acc: 0.1139\n",
      "Epoch 291/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.0123 - acc: 0.2799 - val_loss: 2.3770 - val_acc: 0.1139\n",
      "Epoch 292/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.0113 - acc: 0.2688 - val_loss: 2.4094 - val_acc: 0.1013\n",
      "Epoch 293/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.0062 - acc: 0.2753 - val_loss: 2.3968 - val_acc: 0.1139\n",
      "Epoch 294/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.9885 - acc: 0.2715 - val_loss: 2.3889 - val_acc: 0.0823\n",
      "Epoch 295/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.0080 - acc: 0.2854 - val_loss: 2.4098 - val_acc: 0.1013\n",
      "Epoch 296/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.9953 - acc: 0.2827 - val_loss: 2.3849 - val_acc: 0.1076\n",
      "Epoch 297/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 2.0045 - acc: 0.3086 - val_loss: 2.3725 - val_acc: 0.1139\n",
      "Epoch 298/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.9853 - acc: 0.2854 - val_loss: 2.3891 - val_acc: 0.0949\n",
      "Epoch 299/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.9944 - acc: 0.2762 - val_loss: 2.3890 - val_acc: 0.0886\n",
      "Epoch 300/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.9837 - acc: 0.2882 - val_loss: 2.4027 - val_acc: 0.1139\n",
      "Epoch 301/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.9958 - acc: 0.2947 - val_loss: 2.3859 - val_acc: 0.1329\n",
      "Epoch 302/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.9861 - acc: 0.3086 - val_loss: 2.4159 - val_acc: 0.1013\n",
      "Epoch 303/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.9822 - acc: 0.2780 - val_loss: 2.3874 - val_acc: 0.1013\n",
      "Epoch 304/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.9859 - acc: 0.2808 - val_loss: 2.3839 - val_acc: 0.1013\n",
      "Epoch 305/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.9795 - acc: 0.3170 - val_loss: 2.4116 - val_acc: 0.1013\n",
      "Epoch 306/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.9836 - acc: 0.2882 - val_loss: 2.4403 - val_acc: 0.1076\n",
      "Epoch 307/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.9736 - acc: 0.2938 - val_loss: 2.4166 - val_acc: 0.1013\n",
      "Epoch 308/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.9599 - acc: 0.3105 - val_loss: 2.3936 - val_acc: 0.0949\n",
      "Epoch 309/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.9727 - acc: 0.3049 - val_loss: 2.4463 - val_acc: 0.1203\n",
      "Epoch 310/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.9757 - acc: 0.2734 - val_loss: 2.4015 - val_acc: 0.0949\n",
      "Epoch 311/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.9737 - acc: 0.2919 - val_loss: 2.3929 - val_acc: 0.1013\n",
      "Epoch 312/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.9560 - acc: 0.3105 - val_loss: 2.3960 - val_acc: 0.1013\n",
      "Epoch 313/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.9775 - acc: 0.2882 - val_loss: 2.4179 - val_acc: 0.1076\n",
      "Epoch 314/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.9694 - acc: 0.3160 - val_loss: 2.3922 - val_acc: 0.1013\n",
      "Epoch 315/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.9926 - acc: 0.2966 - val_loss: 2.3885 - val_acc: 0.1139\n",
      "Epoch 316/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.9768 - acc: 0.3049 - val_loss: 2.3987 - val_acc: 0.0886\n",
      "Epoch 317/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.9570 - acc: 0.3197 - val_loss: 2.4131 - val_acc: 0.0949\n",
      "Epoch 318/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.9565 - acc: 0.3021 - val_loss: 2.3939 - val_acc: 0.0886\n",
      "Epoch 319/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.9607 - acc: 0.2975 - val_loss: 2.4032 - val_acc: 0.1076\n",
      "Epoch 320/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.9663 - acc: 0.3049 - val_loss: 2.4508 - val_acc: 0.1076\n",
      "Epoch 321/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.9437 - acc: 0.3281 - val_loss: 2.4320 - val_acc: 0.0949\n",
      "Epoch 322/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.9503 - acc: 0.3234 - val_loss: 2.3937 - val_acc: 0.1013\n",
      "Epoch 323/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.9495 - acc: 0.3105 - val_loss: 2.4027 - val_acc: 0.1013\n",
      "Epoch 324/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.9663 - acc: 0.2975 - val_loss: 2.4127 - val_acc: 0.1076\n",
      "Epoch 325/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.9408 - acc: 0.2984 - val_loss: 2.4092 - val_acc: 0.1013\n",
      "Epoch 326/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.9539 - acc: 0.3058 - val_loss: 2.4000 - val_acc: 0.1013\n",
      "Epoch 327/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.9451 - acc: 0.3095 - val_loss: 2.4167 - val_acc: 0.1076\n",
      "Epoch 328/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.9286 - acc: 0.3197 - val_loss: 2.4718 - val_acc: 0.1139\n",
      "Epoch 329/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.9613 - acc: 0.2864 - val_loss: 2.4138 - val_acc: 0.1013\n",
      "Epoch 330/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.9479 - acc: 0.3123 - val_loss: 2.4130 - val_acc: 0.0823\n",
      "Epoch 331/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.9410 - acc: 0.3021 - val_loss: 2.4052 - val_acc: 0.1139\n",
      "Epoch 332/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.9425 - acc: 0.2919 - val_loss: 2.4037 - val_acc: 0.1013\n",
      "Epoch 333/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.9493 - acc: 0.3142 - val_loss: 2.4901 - val_acc: 0.1013\n",
      "Epoch 334/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.9320 - acc: 0.3160 - val_loss: 2.4452 - val_acc: 0.1139\n",
      "Epoch 335/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.9532 - acc: 0.3058 - val_loss: 2.4082 - val_acc: 0.1076\n",
      "Epoch 336/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.9170 - acc: 0.3290 - val_loss: 2.4098 - val_acc: 0.1013\n",
      "Epoch 337/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.9334 - acc: 0.3086 - val_loss: 2.4215 - val_acc: 0.0949\n",
      "Epoch 338/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.9469 - acc: 0.3012 - val_loss: 2.4027 - val_acc: 0.1013\n",
      "Epoch 339/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.9458 - acc: 0.3003 - val_loss: 2.4361 - val_acc: 0.1013\n",
      "Epoch 340/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.9357 - acc: 0.3123 - val_loss: 2.5173 - val_acc: 0.0949\n",
      "Epoch 341/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.9280 - acc: 0.3179 - val_loss: 2.4256 - val_acc: 0.0949\n",
      "Epoch 342/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.9304 - acc: 0.3234 - val_loss: 2.4115 - val_acc: 0.1076\n",
      "Epoch 343/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.9283 - acc: 0.3188 - val_loss: 2.4377 - val_acc: 0.1013\n",
      "Epoch 344/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.9211 - acc: 0.3373 - val_loss: 2.4327 - val_acc: 0.1076\n",
      "Epoch 345/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.9563 - acc: 0.3225 - val_loss: 2.4442 - val_acc: 0.1076\n",
      "Epoch 346/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.9210 - acc: 0.3355 - val_loss: 2.4216 - val_acc: 0.0949\n",
      "Epoch 347/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.9200 - acc: 0.3309 - val_loss: 2.4240 - val_acc: 0.0949\n",
      "Epoch 348/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.9268 - acc: 0.3207 - val_loss: 2.4315 - val_acc: 0.0886\n",
      "Epoch 349/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.9196 - acc: 0.3272 - val_loss: 2.4185 - val_acc: 0.0886\n",
      "Epoch 350/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.9143 - acc: 0.3327 - val_loss: 2.4208 - val_acc: 0.1203\n",
      "Epoch 351/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.9235 - acc: 0.3188 - val_loss: 2.4440 - val_acc: 0.0886\n",
      "Epoch 352/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.9131 - acc: 0.3160 - val_loss: 2.4192 - val_acc: 0.1076\n",
      "Epoch 353/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.9294 - acc: 0.3188 - val_loss: 2.4412 - val_acc: 0.0949\n",
      "Epoch 354/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.9077 - acc: 0.3272 - val_loss: 2.4501 - val_acc: 0.0949\n",
      "Epoch 355/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.9040 - acc: 0.3207 - val_loss: 2.5201 - val_acc: 0.0949\n",
      "Epoch 356/1000\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.9188 - acc: 0.3346 - val_loss: 2.4281 - val_acc: 0.0949\n",
      "Epoch 357/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.9112 - acc: 0.3216 - val_loss: 2.4219 - val_acc: 0.1013\n",
      "Epoch 358/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.9031 - acc: 0.3364 - val_loss: 2.5006 - val_acc: 0.1013\n",
      "Epoch 359/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.9255 - acc: 0.3225 - val_loss: 2.4325 - val_acc: 0.1013\n",
      "Epoch 360/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.9050 - acc: 0.3346 - val_loss: 2.4380 - val_acc: 0.0823\n",
      "Epoch 361/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.9161 - acc: 0.3327 - val_loss: 2.4294 - val_acc: 0.0949\n",
      "Epoch 362/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.9051 - acc: 0.3188 - val_loss: 2.4273 - val_acc: 0.1013\n",
      "Epoch 363/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.9227 - acc: 0.3133 - val_loss: 2.4294 - val_acc: 0.0949\n",
      "Epoch 364/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.8999 - acc: 0.3272 - val_loss: 2.4196 - val_acc: 0.0823\n",
      "Epoch 365/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.8936 - acc: 0.3466 - val_loss: 2.4377 - val_acc: 0.1013\n",
      "Epoch 366/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.8944 - acc: 0.3364 - val_loss: 2.4364 - val_acc: 0.1013\n",
      "Epoch 367/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.9149 - acc: 0.3290 - val_loss: 2.4353 - val_acc: 0.1076\n",
      "Epoch 368/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.8874 - acc: 0.3290 - val_loss: 2.4829 - val_acc: 0.1076\n",
      "Epoch 369/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.9022 - acc: 0.3299 - val_loss: 2.4225 - val_acc: 0.1013\n",
      "Epoch 370/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.9005 - acc: 0.3327 - val_loss: 2.4207 - val_acc: 0.1076\n",
      "Epoch 371/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.8694 - acc: 0.3466 - val_loss: 2.4331 - val_acc: 0.0823\n",
      "Epoch 372/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.9041 - acc: 0.3272 - val_loss: 2.4604 - val_acc: 0.1203\n",
      "Epoch 373/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.8875 - acc: 0.3438 - val_loss: 2.4336 - val_acc: 0.0949\n",
      "Epoch 374/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.8738 - acc: 0.3281 - val_loss: 2.4385 - val_acc: 0.0886\n",
      "Epoch 375/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.8778 - acc: 0.3513 - val_loss: 2.4232 - val_acc: 0.1013\n",
      "Epoch 376/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.8740 - acc: 0.3587 - val_loss: 2.4962 - val_acc: 0.0949\n",
      "Epoch 377/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.8888 - acc: 0.3225 - val_loss: 2.4362 - val_acc: 0.0949\n",
      "Epoch 378/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.8748 - acc: 0.3633 - val_loss: 2.4436 - val_acc: 0.0949\n",
      "Epoch 379/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.8890 - acc: 0.3392 - val_loss: 2.4543 - val_acc: 0.1076\n",
      "Epoch 380/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.8624 - acc: 0.3494 - val_loss: 2.4810 - val_acc: 0.1139\n",
      "Epoch 381/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.8824 - acc: 0.3457 - val_loss: 2.4906 - val_acc: 0.1203\n",
      "Epoch 382/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.8724 - acc: 0.3364 - val_loss: 2.4557 - val_acc: 0.0949\n",
      "Epoch 383/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.8662 - acc: 0.3605 - val_loss: 2.4458 - val_acc: 0.0886\n",
      "Epoch 384/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.8562 - acc: 0.3364 - val_loss: 2.4510 - val_acc: 0.1013\n",
      "Epoch 385/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.8660 - acc: 0.3522 - val_loss: 2.4539 - val_acc: 0.0949\n",
      "Epoch 386/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.8512 - acc: 0.3448 - val_loss: 2.4444 - val_acc: 0.1139\n",
      "Epoch 387/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.8630 - acc: 0.3531 - val_loss: 2.4475 - val_acc: 0.1139\n",
      "Epoch 388/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.8643 - acc: 0.3420 - val_loss: 2.4548 - val_acc: 0.0949\n",
      "Epoch 389/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.8723 - acc: 0.3438 - val_loss: 2.4476 - val_acc: 0.0886\n",
      "Epoch 390/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.8740 - acc: 0.3411 - val_loss: 2.4572 - val_acc: 0.1013\n",
      "Epoch 391/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.8585 - acc: 0.3401 - val_loss: 2.4732 - val_acc: 0.0886\n",
      "Epoch 392/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.8403 - acc: 0.3633 - val_loss: 2.5138 - val_acc: 0.1013\n",
      "Epoch 393/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.8498 - acc: 0.3568 - val_loss: 2.4564 - val_acc: 0.0949\n",
      "Epoch 394/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.8516 - acc: 0.3652 - val_loss: 2.4602 - val_acc: 0.1076\n",
      "Epoch 395/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.8461 - acc: 0.3633 - val_loss: 2.4616 - val_acc: 0.0949\n",
      "Epoch 396/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.8356 - acc: 0.3513 - val_loss: 2.4461 - val_acc: 0.1013\n",
      "Epoch 397/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.8538 - acc: 0.3596 - val_loss: 2.4628 - val_acc: 0.0949\n",
      "Epoch 398/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.8398 - acc: 0.3522 - val_loss: 2.4492 - val_acc: 0.0886\n",
      "Epoch 399/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.8414 - acc: 0.3568 - val_loss: 2.4516 - val_acc: 0.1013\n",
      "Epoch 400/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.8425 - acc: 0.3448 - val_loss: 2.4589 - val_acc: 0.1076\n",
      "Epoch 401/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.8410 - acc: 0.3327 - val_loss: 2.4624 - val_acc: 0.0949\n",
      "Epoch 402/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.8380 - acc: 0.3587 - val_loss: 2.4598 - val_acc: 0.1139\n",
      "Epoch 403/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.8234 - acc: 0.3670 - val_loss: 2.4679 - val_acc: 0.0949\n",
      "Epoch 404/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.8438 - acc: 0.3577 - val_loss: 2.4715 - val_acc: 0.1076\n",
      "Epoch 405/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.8387 - acc: 0.3633 - val_loss: 2.4846 - val_acc: 0.0949\n",
      "Epoch 406/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.8253 - acc: 0.3670 - val_loss: 2.4673 - val_acc: 0.0823\n",
      "Epoch 407/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.8435 - acc: 0.3559 - val_loss: 2.5106 - val_acc: 0.0949\n",
      "Epoch 408/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.8200 - acc: 0.3753 - val_loss: 2.4631 - val_acc: 0.1013\n",
      "Epoch 409/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.8335 - acc: 0.3466 - val_loss: 2.5069 - val_acc: 0.1013\n",
      "Epoch 410/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.8311 - acc: 0.3679 - val_loss: 2.4606 - val_acc: 0.1076\n",
      "Epoch 411/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.8107 - acc: 0.3800 - val_loss: 2.4697 - val_acc: 0.0949\n",
      "Epoch 412/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.8254 - acc: 0.3624 - val_loss: 2.4644 - val_acc: 0.1076\n",
      "Epoch 413/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.8093 - acc: 0.3661 - val_loss: 2.5109 - val_acc: 0.1076\n",
      "Epoch 414/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.8427 - acc: 0.3577 - val_loss: 2.4789 - val_acc: 0.1076\n",
      "Epoch 415/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.8262 - acc: 0.3568 - val_loss: 2.4776 - val_acc: 0.1013\n",
      "Epoch 416/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.8143 - acc: 0.3550 - val_loss: 2.4753 - val_acc: 0.1139\n",
      "Epoch 417/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.8254 - acc: 0.3550 - val_loss: 2.5031 - val_acc: 0.1076\n",
      "Epoch 418/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.8150 - acc: 0.3707 - val_loss: 2.4726 - val_acc: 0.0886\n",
      "Epoch 419/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.7956 - acc: 0.3726 - val_loss: 2.4954 - val_acc: 0.1013\n",
      "Epoch 420/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.8091 - acc: 0.3735 - val_loss: 2.4967 - val_acc: 0.1013\n",
      "Epoch 421/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.8059 - acc: 0.3735 - val_loss: 2.4796 - val_acc: 0.1013\n",
      "Epoch 422/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.8116 - acc: 0.3679 - val_loss: 2.5067 - val_acc: 0.0949\n",
      "Epoch 423/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.8139 - acc: 0.3707 - val_loss: 2.5368 - val_acc: 0.0949\n",
      "Epoch 424/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.8232 - acc: 0.3698 - val_loss: 2.4861 - val_acc: 0.1076\n",
      "Epoch 425/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.7988 - acc: 0.3791 - val_loss: 2.4737 - val_acc: 0.0949\n",
      "Epoch 426/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.7975 - acc: 0.3753 - val_loss: 2.4772 - val_acc: 0.0949\n",
      "Epoch 427/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.8242 - acc: 0.3707 - val_loss: 2.5029 - val_acc: 0.1076\n",
      "Epoch 428/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.7818 - acc: 0.3800 - val_loss: 2.4857 - val_acc: 0.0886\n",
      "Epoch 429/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.8104 - acc: 0.3855 - val_loss: 2.5049 - val_acc: 0.1013\n",
      "Epoch 430/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.7790 - acc: 0.3846 - val_loss: 2.4744 - val_acc: 0.1013\n",
      "Epoch 431/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.7960 - acc: 0.3633 - val_loss: 2.4792 - val_acc: 0.1013\n",
      "Epoch 432/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.7901 - acc: 0.3818 - val_loss: 2.5154 - val_acc: 0.1076\n",
      "Epoch 433/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.7753 - acc: 0.3707 - val_loss: 2.5164 - val_acc: 0.0949\n",
      "Epoch 434/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.7790 - acc: 0.3930 - val_loss: 2.4905 - val_acc: 0.1013\n",
      "Epoch 435/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.7925 - acc: 0.3596 - val_loss: 2.4926 - val_acc: 0.1013\n",
      "Epoch 436/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.7961 - acc: 0.3911 - val_loss: 2.4825 - val_acc: 0.1013\n",
      "Epoch 437/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.7860 - acc: 0.3892 - val_loss: 2.5009 - val_acc: 0.1139\n",
      "Epoch 438/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.7756 - acc: 0.3855 - val_loss: 2.4643 - val_acc: 0.1076\n",
      "Epoch 439/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.7633 - acc: 0.3976 - val_loss: 2.4879 - val_acc: 0.1329\n",
      "Epoch 440/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.7765 - acc: 0.3920 - val_loss: 2.4865 - val_acc: 0.1076\n",
      "Epoch 441/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.7763 - acc: 0.3800 - val_loss: 2.4798 - val_acc: 0.0949\n",
      "Epoch 442/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.7805 - acc: 0.3614 - val_loss: 2.4824 - val_acc: 0.1076\n",
      "Epoch 443/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.7774 - acc: 0.3818 - val_loss: 2.5489 - val_acc: 0.0949\n",
      "Epoch 444/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.7830 - acc: 0.3726 - val_loss: 2.5731 - val_acc: 0.0949\n",
      "Epoch 445/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.7696 - acc: 0.3930 - val_loss: 2.5014 - val_acc: 0.0823\n",
      "Epoch 446/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.7853 - acc: 0.3679 - val_loss: 2.4921 - val_acc: 0.1013\n",
      "Epoch 447/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.7606 - acc: 0.3939 - val_loss: 2.5610 - val_acc: 0.0949\n",
      "Epoch 448/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.7823 - acc: 0.3948 - val_loss: 2.5102 - val_acc: 0.0823\n",
      "Epoch 449/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.7537 - acc: 0.3892 - val_loss: 2.4959 - val_acc: 0.1076\n",
      "Epoch 450/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.7577 - acc: 0.4180 - val_loss: 2.5093 - val_acc: 0.1013\n",
      "Epoch 451/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.7714 - acc: 0.3911 - val_loss: 2.5117 - val_acc: 0.1076\n",
      "Epoch 452/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.7438 - acc: 0.4032 - val_loss: 2.5353 - val_acc: 0.1076\n",
      "Epoch 453/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.7232 - acc: 0.4096 - val_loss: 2.5213 - val_acc: 0.1013\n",
      "Epoch 454/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.7542 - acc: 0.4013 - val_loss: 2.5096 - val_acc: 0.0886\n",
      "Epoch 455/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.7343 - acc: 0.4041 - val_loss: 2.5334 - val_acc: 0.1076\n",
      "Epoch 456/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.7542 - acc: 0.3948 - val_loss: 2.5265 - val_acc: 0.1076\n",
      "Epoch 457/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.7426 - acc: 0.3902 - val_loss: 2.5574 - val_acc: 0.1076\n",
      "Epoch 458/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.7426 - acc: 0.4171 - val_loss: 2.5685 - val_acc: 0.1013\n",
      "Epoch 459/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.7390 - acc: 0.3994 - val_loss: 2.5003 - val_acc: 0.1013\n",
      "Epoch 460/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.7540 - acc: 0.3874 - val_loss: 2.5561 - val_acc: 0.1139\n",
      "Epoch 461/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.7304 - acc: 0.4152 - val_loss: 2.5099 - val_acc: 0.0949\n",
      "Epoch 462/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.7335 - acc: 0.3892 - val_loss: 2.5212 - val_acc: 0.1203\n",
      "Epoch 463/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.7393 - acc: 0.3985 - val_loss: 2.5572 - val_acc: 0.1076\n",
      "Epoch 464/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.7425 - acc: 0.3939 - val_loss: 2.5210 - val_acc: 0.1076\n",
      "Epoch 465/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.7433 - acc: 0.4022 - val_loss: 2.5288 - val_acc: 0.1013\n",
      "Epoch 466/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.7360 - acc: 0.4143 - val_loss: 2.5118 - val_acc: 0.1139\n",
      "Epoch 467/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.7284 - acc: 0.3883 - val_loss: 2.5091 - val_acc: 0.1013\n",
      "Epoch 468/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.7296 - acc: 0.4208 - val_loss: 2.5333 - val_acc: 0.1076\n",
      "Epoch 469/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.7341 - acc: 0.4004 - val_loss: 2.5261 - val_acc: 0.0949\n",
      "Epoch 470/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.7319 - acc: 0.3874 - val_loss: 2.5208 - val_acc: 0.0949\n",
      "Epoch 471/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.7259 - acc: 0.4106 - val_loss: 2.5275 - val_acc: 0.1013\n",
      "Epoch 472/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.7155 - acc: 0.4106 - val_loss: 2.5375 - val_acc: 0.1013\n",
      "Epoch 473/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.7083 - acc: 0.4208 - val_loss: 2.5262 - val_acc: 0.0949\n",
      "Epoch 474/1000\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.7063 - acc: 0.4143 - val_loss: 2.5842 - val_acc: 0.1139\n",
      "Epoch 475/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.7186 - acc: 0.4198 - val_loss: 2.5248 - val_acc: 0.1013\n",
      "Epoch 476/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.7230 - acc: 0.4096 - val_loss: 2.5319 - val_acc: 0.1013\n",
      "Epoch 477/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.7215 - acc: 0.3948 - val_loss: 2.5274 - val_acc: 0.1139\n",
      "Epoch 478/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.7139 - acc: 0.4198 - val_loss: 2.5405 - val_acc: 0.1076\n",
      "Epoch 479/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.7208 - acc: 0.4124 - val_loss: 2.5364 - val_acc: 0.1013\n",
      "Epoch 480/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.7268 - acc: 0.4013 - val_loss: 2.5359 - val_acc: 0.1013\n",
      "Epoch 481/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.7174 - acc: 0.4078 - val_loss: 2.5293 - val_acc: 0.1013\n",
      "Epoch 482/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.6977 - acc: 0.3967 - val_loss: 2.5402 - val_acc: 0.1076\n",
      "Epoch 483/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.7176 - acc: 0.4226 - val_loss: 2.5520 - val_acc: 0.1013\n",
      "Epoch 484/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.6908 - acc: 0.4032 - val_loss: 2.5455 - val_acc: 0.0823\n",
      "Epoch 485/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.7060 - acc: 0.4198 - val_loss: 2.5286 - val_acc: 0.1013\n",
      "Epoch 486/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.7128 - acc: 0.3902 - val_loss: 2.5328 - val_acc: 0.1076\n",
      "Epoch 487/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.6860 - acc: 0.4133 - val_loss: 2.5392 - val_acc: 0.0949\n",
      "Epoch 488/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.6960 - acc: 0.4291 - val_loss: 2.5496 - val_acc: 0.1013\n",
      "Epoch 489/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.6890 - acc: 0.4106 - val_loss: 2.5583 - val_acc: 0.0949\n",
      "Epoch 490/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.6937 - acc: 0.4069 - val_loss: 2.5628 - val_acc: 0.1076\n",
      "Epoch 491/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.6900 - acc: 0.4254 - val_loss: 2.5502 - val_acc: 0.0949\n",
      "Epoch 492/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.6730 - acc: 0.4495 - val_loss: 2.5407 - val_acc: 0.1013\n",
      "Epoch 493/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.7003 - acc: 0.4300 - val_loss: 2.5530 - val_acc: 0.0949\n",
      "Epoch 494/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.6825 - acc: 0.4198 - val_loss: 2.6039 - val_acc: 0.1076\n",
      "Epoch 495/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.6846 - acc: 0.4152 - val_loss: 2.5611 - val_acc: 0.1076\n",
      "Epoch 496/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.6997 - acc: 0.4245 - val_loss: 2.5597 - val_acc: 0.1076\n",
      "Epoch 497/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.6556 - acc: 0.4421 - val_loss: 2.5508 - val_acc: 0.0949\n",
      "Epoch 498/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.6651 - acc: 0.4272 - val_loss: 2.5510 - val_acc: 0.1076\n",
      "Epoch 499/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.6765 - acc: 0.4124 - val_loss: 2.5809 - val_acc: 0.1013\n",
      "Epoch 500/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.6672 - acc: 0.4171 - val_loss: 2.5746 - val_acc: 0.1013\n",
      "Epoch 501/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.6860 - acc: 0.4106 - val_loss: 2.5651 - val_acc: 0.1013\n",
      "Epoch 502/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.6559 - acc: 0.4374 - val_loss: 2.5477 - val_acc: 0.1013\n",
      "Epoch 503/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.6448 - acc: 0.4254 - val_loss: 2.5792 - val_acc: 0.1013\n",
      "Epoch 504/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.6772 - acc: 0.4328 - val_loss: 2.5524 - val_acc: 0.0949\n",
      "Epoch 505/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.6679 - acc: 0.4347 - val_loss: 2.5843 - val_acc: 0.1013\n",
      "Epoch 506/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.6613 - acc: 0.4272 - val_loss: 2.5724 - val_acc: 0.0949\n",
      "Epoch 507/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.6638 - acc: 0.4347 - val_loss: 2.5702 - val_acc: 0.0949\n",
      "Epoch 508/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.6565 - acc: 0.4402 - val_loss: 2.5650 - val_acc: 0.1076\n",
      "Epoch 509/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.6461 - acc: 0.4263 - val_loss: 2.5545 - val_acc: 0.0886\n",
      "Epoch 510/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.6644 - acc: 0.4319 - val_loss: 2.5645 - val_acc: 0.1013\n",
      "Epoch 511/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.6400 - acc: 0.4504 - val_loss: 2.6120 - val_acc: 0.0949\n",
      "Epoch 512/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.6589 - acc: 0.4347 - val_loss: 2.6003 - val_acc: 0.0949\n",
      "Epoch 513/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.6533 - acc: 0.4384 - val_loss: 2.5846 - val_acc: 0.1013\n",
      "Epoch 514/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.6385 - acc: 0.4393 - val_loss: 2.6055 - val_acc: 0.0949\n",
      "Epoch 515/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.6446 - acc: 0.4300 - val_loss: 2.5657 - val_acc: 0.1013\n",
      "Epoch 516/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.6607 - acc: 0.4282 - val_loss: 2.6255 - val_acc: 0.1139\n",
      "Epoch 517/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.6484 - acc: 0.4328 - val_loss: 2.6056 - val_acc: 0.1013\n",
      "Epoch 518/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.6458 - acc: 0.4411 - val_loss: 2.5917 - val_acc: 0.1013\n",
      "Epoch 519/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.6369 - acc: 0.4523 - val_loss: 2.5697 - val_acc: 0.0949\n",
      "Epoch 520/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.6576 - acc: 0.4245 - val_loss: 2.5703 - val_acc: 0.0886\n",
      "Epoch 521/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.6340 - acc: 0.4439 - val_loss: 2.6162 - val_acc: 0.1013\n",
      "Epoch 522/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.6315 - acc: 0.4551 - val_loss: 2.5982 - val_acc: 0.1013\n",
      "Epoch 523/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.6332 - acc: 0.4411 - val_loss: 2.5864 - val_acc: 0.0949\n",
      "Epoch 524/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.6227 - acc: 0.4374 - val_loss: 2.6331 - val_acc: 0.1076\n",
      "Epoch 525/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.6397 - acc: 0.4402 - val_loss: 2.5991 - val_acc: 0.1013\n",
      "Epoch 526/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.6188 - acc: 0.4541 - val_loss: 2.6012 - val_acc: 0.1139\n",
      "Epoch 527/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.6227 - acc: 0.4421 - val_loss: 2.5896 - val_acc: 0.1013\n",
      "Epoch 528/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.6330 - acc: 0.4319 - val_loss: 2.5964 - val_acc: 0.1013\n",
      "Epoch 529/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.6174 - acc: 0.4680 - val_loss: 2.5980 - val_acc: 0.1076\n",
      "Epoch 530/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.6190 - acc: 0.4421 - val_loss: 2.6065 - val_acc: 0.0949\n",
      "Epoch 531/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.6228 - acc: 0.4402 - val_loss: 2.6056 - val_acc: 0.1076\n",
      "Epoch 532/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.6186 - acc: 0.4625 - val_loss: 2.6070 - val_acc: 0.0949\n",
      "Epoch 533/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.6090 - acc: 0.4430 - val_loss: 2.7263 - val_acc: 0.1013\n",
      "Epoch 534/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.6108 - acc: 0.4486 - val_loss: 2.6435 - val_acc: 0.1013\n",
      "Epoch 535/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.6112 - acc: 0.4374 - val_loss: 2.5968 - val_acc: 0.1013\n",
      "Epoch 536/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.5961 - acc: 0.4615 - val_loss: 2.6128 - val_acc: 0.0886\n",
      "Epoch 537/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.6081 - acc: 0.4272 - val_loss: 2.6032 - val_acc: 0.0823\n",
      "Epoch 538/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.5940 - acc: 0.4690 - val_loss: 2.6419 - val_acc: 0.0949\n",
      "Epoch 539/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.5970 - acc: 0.4708 - val_loss: 2.6016 - val_acc: 0.1013\n",
      "Epoch 540/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.6256 - acc: 0.4476 - val_loss: 2.6169 - val_acc: 0.1076\n",
      "Epoch 541/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.5908 - acc: 0.4560 - val_loss: 2.6054 - val_acc: 0.1013\n",
      "Epoch 542/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.5737 - acc: 0.4588 - val_loss: 2.6102 - val_acc: 0.1076\n",
      "Epoch 543/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.6054 - acc: 0.4393 - val_loss: 2.6920 - val_acc: 0.1013\n",
      "Epoch 544/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.6039 - acc: 0.4606 - val_loss: 2.6092 - val_acc: 0.1076\n",
      "Epoch 545/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.5923 - acc: 0.4643 - val_loss: 2.6458 - val_acc: 0.1076\n",
      "Epoch 546/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.5681 - acc: 0.4606 - val_loss: 2.6252 - val_acc: 0.1013\n",
      "Epoch 547/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.5946 - acc: 0.4662 - val_loss: 2.6147 - val_acc: 0.1076\n",
      "Epoch 548/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.5766 - acc: 0.4551 - val_loss: 2.6636 - val_acc: 0.1013\n",
      "Epoch 549/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.5887 - acc: 0.4439 - val_loss: 2.6772 - val_acc: 0.0886\n",
      "Epoch 550/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.5827 - acc: 0.4773 - val_loss: 2.6357 - val_acc: 0.0949\n",
      "Epoch 551/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.6027 - acc: 0.4476 - val_loss: 2.6253 - val_acc: 0.0949\n",
      "Epoch 552/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.5917 - acc: 0.4569 - val_loss: 2.6348 - val_acc: 0.1076\n",
      "Epoch 553/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.5620 - acc: 0.4634 - val_loss: 2.6382 - val_acc: 0.1013\n",
      "Epoch 554/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.5951 - acc: 0.4523 - val_loss: 2.6257 - val_acc: 0.1076\n",
      "Epoch 555/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.5786 - acc: 0.4578 - val_loss: 2.6472 - val_acc: 0.0886\n",
      "Epoch 556/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.5681 - acc: 0.4736 - val_loss: 2.6472 - val_acc: 0.0823\n",
      "Epoch 557/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.5820 - acc: 0.4652 - val_loss: 2.6309 - val_acc: 0.1076\n",
      "Epoch 558/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.5564 - acc: 0.4745 - val_loss: 2.7020 - val_acc: 0.1076\n",
      "Epoch 559/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.5718 - acc: 0.4690 - val_loss: 2.6526 - val_acc: 0.1076\n",
      "Epoch 560/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.5486 - acc: 0.4838 - val_loss: 2.6381 - val_acc: 0.0949\n",
      "Epoch 561/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.5528 - acc: 0.4736 - val_loss: 2.6516 - val_acc: 0.1013\n",
      "Epoch 562/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.5404 - acc: 0.5051 - val_loss: 2.6726 - val_acc: 0.1076\n",
      "Epoch 563/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.5292 - acc: 0.5032 - val_loss: 2.6463 - val_acc: 0.1013\n",
      "Epoch 564/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.5520 - acc: 0.4643 - val_loss: 2.6495 - val_acc: 0.0886\n",
      "Epoch 565/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.5689 - acc: 0.4625 - val_loss: 2.6752 - val_acc: 0.1076\n",
      "Epoch 566/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.5521 - acc: 0.4662 - val_loss: 2.6476 - val_acc: 0.0949\n",
      "Epoch 567/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.5491 - acc: 0.4625 - val_loss: 2.6830 - val_acc: 0.1013\n",
      "Epoch 568/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.5463 - acc: 0.4745 - val_loss: 2.6805 - val_acc: 0.1013\n",
      "Epoch 569/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.5349 - acc: 0.4736 - val_loss: 2.6760 - val_acc: 0.1139\n",
      "Epoch 570/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.5662 - acc: 0.4588 - val_loss: 2.6532 - val_acc: 0.0886\n",
      "Epoch 571/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.5301 - acc: 0.4903 - val_loss: 2.6552 - val_acc: 0.1013\n",
      "Epoch 572/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.5178 - acc: 0.4958 - val_loss: 2.6655 - val_acc: 0.0949\n",
      "Epoch 573/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.5429 - acc: 0.4745 - val_loss: 2.7138 - val_acc: 0.0949\n",
      "Epoch 574/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.5259 - acc: 0.4949 - val_loss: 2.6706 - val_acc: 0.0823\n",
      "Epoch 575/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.5202 - acc: 0.4634 - val_loss: 2.6734 - val_acc: 0.1013\n",
      "Epoch 576/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.5352 - acc: 0.4560 - val_loss: 2.6875 - val_acc: 0.0949\n",
      "Epoch 577/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.5246 - acc: 0.4847 - val_loss: 2.7670 - val_acc: 0.1076\n",
      "Epoch 578/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.5369 - acc: 0.4884 - val_loss: 2.6403 - val_acc: 0.1013\n",
      "Epoch 579/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.5172 - acc: 0.4875 - val_loss: 2.6858 - val_acc: 0.1013\n",
      "Epoch 580/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.5373 - acc: 0.4773 - val_loss: 2.6546 - val_acc: 0.1013\n",
      "Epoch 581/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.5164 - acc: 0.4995 - val_loss: 2.6606 - val_acc: 0.1076\n",
      "Epoch 582/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.5459 - acc: 0.4810 - val_loss: 2.6570 - val_acc: 0.0823\n",
      "Epoch 583/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.5303 - acc: 0.4801 - val_loss: 2.6712 - val_acc: 0.1013\n",
      "Epoch 584/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.5099 - acc: 0.4977 - val_loss: 2.6742 - val_acc: 0.1013\n",
      "Epoch 585/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.5238 - acc: 0.4986 - val_loss: 2.6841 - val_acc: 0.1013\n",
      "Epoch 586/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.5207 - acc: 0.4801 - val_loss: 2.7847 - val_acc: 0.1076\n",
      "Epoch 587/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.5028 - acc: 0.5014 - val_loss: 2.6869 - val_acc: 0.0886\n",
      "Epoch 588/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.5066 - acc: 0.4949 - val_loss: 2.6764 - val_acc: 0.0949\n",
      "Epoch 589/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.5016 - acc: 0.4977 - val_loss: 2.6756 - val_acc: 0.1013\n",
      "Epoch 590/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.4880 - acc: 0.5005 - val_loss: 2.6854 - val_acc: 0.1076\n",
      "Epoch 591/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.4889 - acc: 0.4968 - val_loss: 2.8290 - val_acc: 0.1203\n",
      "Epoch 592/1000\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.4980 - acc: 0.5032 - val_loss: 2.6884 - val_acc: 0.0886\n",
      "Epoch 593/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.4869 - acc: 0.5060 - val_loss: 2.6989 - val_acc: 0.1013\n",
      "Epoch 594/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.4979 - acc: 0.4754 - val_loss: 2.7568 - val_acc: 0.0949\n",
      "Epoch 595/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.4728 - acc: 0.5088 - val_loss: 2.6944 - val_acc: 0.1139\n",
      "Epoch 596/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.4787 - acc: 0.4977 - val_loss: 2.7246 - val_acc: 0.1013\n",
      "Epoch 597/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.4984 - acc: 0.4949 - val_loss: 2.6826 - val_acc: 0.1139\n",
      "Epoch 598/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.4931 - acc: 0.5060 - val_loss: 2.7048 - val_acc: 0.1013\n",
      "Epoch 599/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.4851 - acc: 0.5042 - val_loss: 2.7461 - val_acc: 0.1076\n",
      "Epoch 600/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.4943 - acc: 0.4875 - val_loss: 2.6945 - val_acc: 0.0949\n",
      "Epoch 601/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.4560 - acc: 0.5190 - val_loss: 2.7697 - val_acc: 0.0949\n",
      "Epoch 602/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.4918 - acc: 0.5060 - val_loss: 2.7236 - val_acc: 0.1076\n",
      "Epoch 603/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.4954 - acc: 0.5042 - val_loss: 2.7109 - val_acc: 0.1076\n",
      "Epoch 604/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.4831 - acc: 0.4968 - val_loss: 2.7073 - val_acc: 0.0949\n",
      "Epoch 605/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.4721 - acc: 0.5060 - val_loss: 2.7162 - val_acc: 0.0886\n",
      "Epoch 606/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.4609 - acc: 0.5144 - val_loss: 2.7181 - val_acc: 0.0949\n",
      "Epoch 607/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.4510 - acc: 0.5301 - val_loss: 2.7259 - val_acc: 0.1076\n",
      "Epoch 608/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.4690 - acc: 0.5070 - val_loss: 2.7353 - val_acc: 0.1013\n",
      "Epoch 609/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.4624 - acc: 0.5171 - val_loss: 2.7199 - val_acc: 0.1013\n",
      "Epoch 610/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.4519 - acc: 0.4968 - val_loss: 2.7305 - val_acc: 0.1076\n",
      "Epoch 611/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.4608 - acc: 0.5125 - val_loss: 2.7358 - val_acc: 0.0886\n",
      "Epoch 612/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.4643 - acc: 0.5097 - val_loss: 2.7240 - val_acc: 0.0949\n",
      "Epoch 613/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.4452 - acc: 0.5097 - val_loss: 2.7496 - val_acc: 0.1013\n",
      "Epoch 614/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.4335 - acc: 0.5320 - val_loss: 2.7330 - val_acc: 0.1076\n",
      "Epoch 615/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.4484 - acc: 0.5125 - val_loss: 2.7261 - val_acc: 0.0949\n",
      "Epoch 616/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.4172 - acc: 0.5107 - val_loss: 2.7755 - val_acc: 0.1076\n",
      "Epoch 617/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.4494 - acc: 0.5051 - val_loss: 2.7357 - val_acc: 0.0949\n",
      "Epoch 618/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.4362 - acc: 0.5199 - val_loss: 2.7283 - val_acc: 0.0949\n",
      "Epoch 619/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.4422 - acc: 0.5292 - val_loss: 2.7573 - val_acc: 0.1076\n",
      "Epoch 620/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.4440 - acc: 0.5070 - val_loss: 2.7500 - val_acc: 0.0949\n",
      "Epoch 621/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.4068 - acc: 0.5338 - val_loss: 2.7192 - val_acc: 0.0949\n",
      "Epoch 622/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.4391 - acc: 0.5338 - val_loss: 2.7518 - val_acc: 0.1013\n",
      "Epoch 623/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.4333 - acc: 0.5162 - val_loss: 2.7553 - val_acc: 0.0886\n",
      "Epoch 624/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.4411 - acc: 0.5218 - val_loss: 2.7496 - val_acc: 0.0949\n",
      "Epoch 625/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.4247 - acc: 0.5144 - val_loss: 2.7753 - val_acc: 0.1013\n",
      "Epoch 626/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.4443 - acc: 0.5171 - val_loss: 2.7333 - val_acc: 0.0886\n",
      "Epoch 627/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.4124 - acc: 0.5301 - val_loss: 2.7720 - val_acc: 0.0949\n",
      "Epoch 628/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.4232 - acc: 0.5301 - val_loss: 2.7925 - val_acc: 0.0886\n",
      "Epoch 629/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.4041 - acc: 0.5227 - val_loss: 2.7579 - val_acc: 0.1013\n",
      "Epoch 630/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.3922 - acc: 0.5477 - val_loss: 2.7872 - val_acc: 0.0949\n",
      "Epoch 631/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.4138 - acc: 0.5246 - val_loss: 2.7555 - val_acc: 0.1013\n",
      "Epoch 632/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.4291 - acc: 0.5162 - val_loss: 2.7535 - val_acc: 0.1076\n",
      "Epoch 633/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.4215 - acc: 0.5273 - val_loss: 2.8043 - val_acc: 0.1203\n",
      "Epoch 634/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.3972 - acc: 0.5449 - val_loss: 2.7992 - val_acc: 0.1139\n",
      "Epoch 635/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.4305 - acc: 0.5060 - val_loss: 2.7435 - val_acc: 0.0949\n",
      "Epoch 636/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.3994 - acc: 0.5412 - val_loss: 2.7738 - val_acc: 0.1013\n",
      "Epoch 637/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.4003 - acc: 0.5348 - val_loss: 2.7717 - val_acc: 0.0949\n",
      "Epoch 638/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.3938 - acc: 0.5171 - val_loss: 2.7739 - val_acc: 0.1139\n",
      "Epoch 639/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.4080 - acc: 0.5329 - val_loss: 2.8512 - val_acc: 0.1076\n",
      "Epoch 640/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.3996 - acc: 0.5273 - val_loss: 2.8408 - val_acc: 0.1139\n",
      "Epoch 641/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.4261 - acc: 0.5162 - val_loss: 2.8313 - val_acc: 0.1076\n",
      "Epoch 642/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.4111 - acc: 0.5199 - val_loss: 2.8508 - val_acc: 0.1076\n",
      "Epoch 643/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.3933 - acc: 0.5394 - val_loss: 2.8095 - val_acc: 0.1076\n",
      "Epoch 644/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.3856 - acc: 0.5431 - val_loss: 2.8142 - val_acc: 0.1139\n",
      "Epoch 645/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.3867 - acc: 0.5422 - val_loss: 2.9672 - val_acc: 0.1139\n",
      "Epoch 646/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.3950 - acc: 0.5199 - val_loss: 2.7937 - val_acc: 0.1013\n",
      "Epoch 647/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.3903 - acc: 0.5301 - val_loss: 2.8170 - val_acc: 0.1076\n",
      "Epoch 648/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.3708 - acc: 0.5468 - val_loss: 2.8574 - val_acc: 0.1076\n",
      "Epoch 649/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.3880 - acc: 0.5338 - val_loss: 2.8091 - val_acc: 0.0949\n",
      "Epoch 650/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.3973 - acc: 0.5468 - val_loss: 2.7753 - val_acc: 0.0949\n",
      "Epoch 651/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.3662 - acc: 0.5422 - val_loss: 2.8526 - val_acc: 0.1076\n",
      "Epoch 652/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.3744 - acc: 0.5459 - val_loss: 2.8199 - val_acc: 0.1076\n",
      "Epoch 653/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.3643 - acc: 0.5598 - val_loss: 2.8301 - val_acc: 0.1139\n",
      "Epoch 654/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.3877 - acc: 0.5375 - val_loss: 2.8056 - val_acc: 0.0949\n",
      "Epoch 655/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.3805 - acc: 0.5366 - val_loss: 2.7946 - val_acc: 0.1013\n",
      "Epoch 656/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.3495 - acc: 0.5570 - val_loss: 2.8489 - val_acc: 0.1139\n",
      "Epoch 657/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.3441 - acc: 0.5524 - val_loss: 2.8337 - val_acc: 0.1139\n",
      "Epoch 658/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.3455 - acc: 0.5524 - val_loss: 2.8279 - val_acc: 0.1013\n",
      "Epoch 659/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.3576 - acc: 0.5477 - val_loss: 2.8104 - val_acc: 0.1076\n",
      "Epoch 660/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.3590 - acc: 0.5422 - val_loss: 2.8129 - val_acc: 0.0949\n",
      "Epoch 661/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.3530 - acc: 0.5524 - val_loss: 2.8191 - val_acc: 0.1013\n",
      "Epoch 662/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.3368 - acc: 0.5774 - val_loss: 2.8191 - val_acc: 0.1013\n",
      "Epoch 663/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.3457 - acc: 0.5626 - val_loss: 2.8324 - val_acc: 0.0949\n",
      "Epoch 664/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.3507 - acc: 0.5487 - val_loss: 2.8472 - val_acc: 0.1139\n",
      "Epoch 665/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.3572 - acc: 0.5505 - val_loss: 2.8577 - val_acc: 0.1266\n",
      "Epoch 666/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.3240 - acc: 0.5561 - val_loss: 2.8526 - val_acc: 0.0949\n",
      "Epoch 667/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.3350 - acc: 0.5542 - val_loss: 2.8440 - val_acc: 0.1076\n",
      "Epoch 668/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.3422 - acc: 0.5403 - val_loss: 2.8336 - val_acc: 0.1013\n",
      "Epoch 669/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.3373 - acc: 0.5635 - val_loss: 2.8373 - val_acc: 0.1076\n",
      "Epoch 670/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.3555 - acc: 0.5533 - val_loss: 2.9248 - val_acc: 0.1076\n",
      "Epoch 671/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.3231 - acc: 0.5783 - val_loss: 2.8295 - val_acc: 0.1076\n",
      "Epoch 672/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.3347 - acc: 0.5542 - val_loss: 2.8811 - val_acc: 0.1203\n",
      "Epoch 673/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.3214 - acc: 0.5718 - val_loss: 2.8865 - val_acc: 0.1013\n",
      "Epoch 674/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.3233 - acc: 0.5598 - val_loss: 2.8516 - val_acc: 0.1076\n",
      "Epoch 675/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.3371 - acc: 0.5505 - val_loss: 2.8368 - val_acc: 0.1139\n",
      "Epoch 676/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.3366 - acc: 0.5570 - val_loss: 2.8880 - val_acc: 0.1013\n",
      "Epoch 677/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.3022 - acc: 0.5598 - val_loss: 2.8485 - val_acc: 0.1139\n",
      "Epoch 678/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.3254 - acc: 0.5672 - val_loss: 2.8641 - val_acc: 0.1076\n",
      "Epoch 679/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.3021 - acc: 0.5653 - val_loss: 2.8919 - val_acc: 0.1203\n",
      "Epoch 680/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.2947 - acc: 0.5626 - val_loss: 2.8327 - val_acc: 0.0949\n",
      "Epoch 681/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.3024 - acc: 0.5867 - val_loss: 2.8952 - val_acc: 0.1076\n",
      "Epoch 682/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.3072 - acc: 0.5579 - val_loss: 2.8805 - val_acc: 0.1013\n",
      "Epoch 683/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.3238 - acc: 0.5551 - val_loss: 2.8872 - val_acc: 0.1139\n",
      "Epoch 684/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.3293 - acc: 0.5477 - val_loss: 2.9191 - val_acc: 0.1013\n",
      "Epoch 685/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.3166 - acc: 0.5616 - val_loss: 2.9334 - val_acc: 0.1013\n",
      "Epoch 686/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.3000 - acc: 0.5737 - val_loss: 2.8700 - val_acc: 0.1076\n",
      "Epoch 687/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.3023 - acc: 0.5765 - val_loss: 2.8888 - val_acc: 0.1013\n",
      "Epoch 688/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.2744 - acc: 0.5820 - val_loss: 2.8902 - val_acc: 0.1076\n",
      "Epoch 689/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.3019 - acc: 0.5690 - val_loss: 2.8859 - val_acc: 0.1076\n",
      "Epoch 690/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.2948 - acc: 0.5718 - val_loss: 2.8742 - val_acc: 0.0949\n",
      "Epoch 691/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.2991 - acc: 0.5811 - val_loss: 2.8667 - val_acc: 0.1076\n",
      "Epoch 692/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.3007 - acc: 0.5607 - val_loss: 2.9796 - val_acc: 0.1203\n",
      "Epoch 693/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.2909 - acc: 0.5644 - val_loss: 2.9127 - val_acc: 0.1266\n",
      "Epoch 694/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.2918 - acc: 0.5709 - val_loss: 2.8661 - val_acc: 0.1013\n",
      "Epoch 695/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.2815 - acc: 0.5765 - val_loss: 2.8782 - val_acc: 0.1013\n",
      "Epoch 696/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.2965 - acc: 0.5709 - val_loss: 2.8741 - val_acc: 0.1013\n",
      "Epoch 697/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.2935 - acc: 0.5774 - val_loss: 2.8970 - val_acc: 0.0886\n",
      "Epoch 698/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.2719 - acc: 0.5783 - val_loss: 2.9290 - val_acc: 0.1139\n",
      "Epoch 699/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.2745 - acc: 0.5700 - val_loss: 2.9027 - val_acc: 0.1203\n",
      "Epoch 700/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.2682 - acc: 0.5690 - val_loss: 2.9604 - val_acc: 0.1076\n",
      "Epoch 701/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.2685 - acc: 0.5792 - val_loss: 2.8811 - val_acc: 0.1139\n",
      "Epoch 702/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.2654 - acc: 0.5848 - val_loss: 2.9071 - val_acc: 0.1139\n",
      "Epoch 703/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.2917 - acc: 0.5653 - val_loss: 2.9245 - val_acc: 0.1139\n",
      "Epoch 704/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.2566 - acc: 0.5848 - val_loss: 2.9221 - val_acc: 0.0949\n",
      "Epoch 705/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.2675 - acc: 0.5700 - val_loss: 2.9663 - val_acc: 0.1203\n",
      "Epoch 706/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.2450 - acc: 0.5922 - val_loss: 2.9569 - val_acc: 0.1013\n",
      "Epoch 707/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.2534 - acc: 0.5718 - val_loss: 2.9291 - val_acc: 0.1139\n",
      "Epoch 708/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.2340 - acc: 0.6070 - val_loss: 2.9624 - val_acc: 0.1139\n",
      "Epoch 709/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.2687 - acc: 0.5755 - val_loss: 2.9772 - val_acc: 0.1203\n",
      "Epoch 710/1000\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.2541 - acc: 0.5829 - val_loss: 2.9393 - val_acc: 0.0886\n",
      "Epoch 711/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.2398 - acc: 0.5876 - val_loss: 2.9236 - val_acc: 0.1076\n",
      "Epoch 712/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.2499 - acc: 0.5931 - val_loss: 2.9295 - val_acc: 0.1139\n",
      "Epoch 713/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.2302 - acc: 0.6089 - val_loss: 2.9890 - val_acc: 0.1139\n",
      "Epoch 714/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.2105 - acc: 0.6006 - val_loss: 2.9241 - val_acc: 0.1013\n",
      "Epoch 715/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.2160 - acc: 0.6070 - val_loss: 2.9561 - val_acc: 0.1203\n",
      "Epoch 716/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.2246 - acc: 0.5987 - val_loss: 2.9725 - val_acc: 0.1139\n",
      "Epoch 717/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.2398 - acc: 0.5950 - val_loss: 2.9711 - val_acc: 0.1203\n",
      "Epoch 718/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.2129 - acc: 0.6089 - val_loss: 3.0306 - val_acc: 0.1139\n",
      "Epoch 719/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.2374 - acc: 0.5978 - val_loss: 2.9651 - val_acc: 0.1203\n",
      "Epoch 720/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.2548 - acc: 0.5885 - val_loss: 2.9537 - val_acc: 0.0823\n",
      "Epoch 721/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.2493 - acc: 0.5867 - val_loss: 2.9635 - val_acc: 0.0823\n",
      "Epoch 722/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.1974 - acc: 0.6043 - val_loss: 2.9563 - val_acc: 0.0886\n",
      "Epoch 723/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.2069 - acc: 0.6089 - val_loss: 2.9732 - val_acc: 0.1076\n",
      "Epoch 724/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.2264 - acc: 0.6024 - val_loss: 2.9952 - val_acc: 0.1139\n",
      "Epoch 725/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.2107 - acc: 0.5968 - val_loss: 2.9544 - val_acc: 0.0949\n",
      "Epoch 726/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.2037 - acc: 0.6080 - val_loss: 2.9628 - val_acc: 0.1013\n",
      "Epoch 727/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.2093 - acc: 0.6108 - val_loss: 2.9555 - val_acc: 0.1076\n",
      "Epoch 728/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.1954 - acc: 0.6024 - val_loss: 2.9688 - val_acc: 0.1013\n",
      "Epoch 729/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.1623 - acc: 0.6348 - val_loss: 3.0102 - val_acc: 0.0886\n",
      "Epoch 730/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.1980 - acc: 0.6098 - val_loss: 2.9998 - val_acc: 0.0949\n",
      "Epoch 731/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.2070 - acc: 0.6135 - val_loss: 3.0006 - val_acc: 0.1076\n",
      "Epoch 732/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.2130 - acc: 0.6089 - val_loss: 3.0059 - val_acc: 0.1013\n",
      "Epoch 733/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.1870 - acc: 0.6043 - val_loss: 2.9853 - val_acc: 0.0949\n",
      "Epoch 734/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.1878 - acc: 0.6182 - val_loss: 2.9774 - val_acc: 0.1013\n",
      "Epoch 735/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.2001 - acc: 0.6089 - val_loss: 2.9722 - val_acc: 0.0823\n",
      "Epoch 736/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.1781 - acc: 0.6154 - val_loss: 2.9697 - val_acc: 0.1013\n",
      "Epoch 737/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.2087 - acc: 0.5876 - val_loss: 3.0296 - val_acc: 0.1139\n",
      "Epoch 738/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.1741 - acc: 0.6219 - val_loss: 2.9846 - val_acc: 0.1013\n",
      "Epoch 739/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.1958 - acc: 0.6061 - val_loss: 3.0018 - val_acc: 0.0949\n",
      "Epoch 740/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.1946 - acc: 0.6061 - val_loss: 2.9797 - val_acc: 0.0823\n",
      "Epoch 741/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.1833 - acc: 0.6070 - val_loss: 3.0003 - val_acc: 0.0949\n",
      "Epoch 742/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.1676 - acc: 0.6228 - val_loss: 3.0072 - val_acc: 0.0949\n",
      "Epoch 743/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.1888 - acc: 0.6219 - val_loss: 3.0541 - val_acc: 0.1013\n",
      "Epoch 744/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.1602 - acc: 0.6228 - val_loss: 2.9830 - val_acc: 0.0886\n",
      "Epoch 745/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.1665 - acc: 0.6330 - val_loss: 3.0230 - val_acc: 0.1139\n",
      "Epoch 746/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.1796 - acc: 0.5996 - val_loss: 3.1174 - val_acc: 0.1013\n",
      "Epoch 747/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.1548 - acc: 0.6348 - val_loss: 3.0637 - val_acc: 0.0949\n",
      "Epoch 748/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.1759 - acc: 0.6247 - val_loss: 3.0272 - val_acc: 0.1203\n",
      "Epoch 749/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.1567 - acc: 0.6367 - val_loss: 3.0180 - val_acc: 0.1013\n",
      "Epoch 750/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.1600 - acc: 0.6228 - val_loss: 3.0115 - val_acc: 0.1013\n",
      "Epoch 751/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.1414 - acc: 0.6376 - val_loss: 3.0559 - val_acc: 0.1076\n",
      "Epoch 752/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.1512 - acc: 0.6274 - val_loss: 3.0193 - val_acc: 0.1013\n",
      "Epoch 753/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.1474 - acc: 0.6339 - val_loss: 3.0560 - val_acc: 0.1266\n",
      "Epoch 754/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.1437 - acc: 0.6126 - val_loss: 3.0492 - val_acc: 0.0886\n",
      "Epoch 755/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.1686 - acc: 0.6163 - val_loss: 3.0146 - val_acc: 0.1013\n",
      "Epoch 756/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.1382 - acc: 0.6247 - val_loss: 3.0286 - val_acc: 0.1139\n",
      "Epoch 757/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.1281 - acc: 0.6348 - val_loss: 3.0476 - val_acc: 0.0949\n",
      "Epoch 758/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.1541 - acc: 0.6163 - val_loss: 3.0538 - val_acc: 0.1013\n",
      "Epoch 759/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.1729 - acc: 0.6256 - val_loss: 3.0353 - val_acc: 0.0949\n",
      "Epoch 760/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.1181 - acc: 0.6247 - val_loss: 3.0523 - val_acc: 0.0949\n",
      "Epoch 761/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.1305 - acc: 0.6284 - val_loss: 3.0583 - val_acc: 0.1076\n",
      "Epoch 762/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.1089 - acc: 0.6339 - val_loss: 3.0336 - val_acc: 0.0823\n",
      "Epoch 763/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.1310 - acc: 0.6386 - val_loss: 3.1020 - val_acc: 0.1139\n",
      "Epoch 764/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.1331 - acc: 0.6330 - val_loss: 3.0559 - val_acc: 0.1139\n",
      "Epoch 765/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.1306 - acc: 0.6247 - val_loss: 3.1046 - val_acc: 0.1013\n",
      "Epoch 766/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.1171 - acc: 0.6367 - val_loss: 3.0775 - val_acc: 0.1013\n",
      "Epoch 767/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.1150 - acc: 0.6478 - val_loss: 3.0647 - val_acc: 0.0949\n",
      "Epoch 768/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.1131 - acc: 0.6441 - val_loss: 3.1702 - val_acc: 0.0949\n",
      "Epoch 769/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.1203 - acc: 0.6460 - val_loss: 3.0712 - val_acc: 0.0949\n",
      "Epoch 770/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.0976 - acc: 0.6487 - val_loss: 3.0753 - val_acc: 0.0949\n",
      "Epoch 771/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.1192 - acc: 0.6487 - val_loss: 3.1371 - val_acc: 0.1076\n",
      "Epoch 772/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.1097 - acc: 0.6534 - val_loss: 3.0694 - val_acc: 0.1139\n",
      "Epoch 773/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.0840 - acc: 0.6571 - val_loss: 3.1083 - val_acc: 0.1013\n",
      "Epoch 774/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.1209 - acc: 0.6302 - val_loss: 3.0795 - val_acc: 0.0949\n",
      "Epoch 775/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.0944 - acc: 0.6386 - val_loss: 3.1052 - val_acc: 0.1013\n",
      "Epoch 776/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.0966 - acc: 0.6534 - val_loss: 3.0828 - val_acc: 0.0949\n",
      "Epoch 777/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.0875 - acc: 0.6580 - val_loss: 3.0905 - val_acc: 0.1076\n",
      "Epoch 778/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.1288 - acc: 0.6284 - val_loss: 3.0537 - val_acc: 0.0949\n",
      "Epoch 779/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.1114 - acc: 0.6580 - val_loss: 3.0913 - val_acc: 0.1013\n",
      "Epoch 780/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.0985 - acc: 0.6423 - val_loss: 3.0922 - val_acc: 0.0886\n",
      "Epoch 781/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.0753 - acc: 0.6395 - val_loss: 3.0933 - val_acc: 0.0886\n",
      "Epoch 782/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.0843 - acc: 0.6543 - val_loss: 3.1144 - val_acc: 0.1013\n",
      "Epoch 783/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.0730 - acc: 0.6645 - val_loss: 3.1646 - val_acc: 0.1076\n",
      "Epoch 784/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.1068 - acc: 0.6423 - val_loss: 3.2627 - val_acc: 0.1076\n",
      "Epoch 785/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.0742 - acc: 0.6515 - val_loss: 3.1049 - val_acc: 0.0886\n",
      "Epoch 786/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.0975 - acc: 0.6478 - val_loss: 3.1186 - val_acc: 0.0886\n",
      "Epoch 787/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.0988 - acc: 0.6441 - val_loss: 3.1286 - val_acc: 0.1013\n",
      "Epoch 788/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.0787 - acc: 0.6608 - val_loss: 3.1115 - val_acc: 0.0886\n",
      "Epoch 789/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.0971 - acc: 0.6348 - val_loss: 3.0904 - val_acc: 0.0823\n",
      "Epoch 790/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.0639 - acc: 0.6664 - val_loss: 3.1360 - val_acc: 0.1013\n",
      "Epoch 791/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.0698 - acc: 0.6627 - val_loss: 3.1366 - val_acc: 0.1013\n",
      "Epoch 792/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.0926 - acc: 0.6552 - val_loss: 3.1812 - val_acc: 0.1076\n",
      "Epoch 793/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.0550 - acc: 0.6580 - val_loss: 3.1215 - val_acc: 0.0886\n",
      "Epoch 794/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.0520 - acc: 0.6525 - val_loss: 3.1098 - val_acc: 0.0949\n",
      "Epoch 795/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.0475 - acc: 0.6747 - val_loss: 3.1252 - val_acc: 0.0949\n",
      "Epoch 796/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.0540 - acc: 0.6617 - val_loss: 3.1753 - val_acc: 0.1013\n",
      "Epoch 797/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.0679 - acc: 0.6506 - val_loss: 3.1521 - val_acc: 0.0823\n",
      "Epoch 798/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.0667 - acc: 0.6608 - val_loss: 3.1413 - val_acc: 0.0949\n",
      "Epoch 799/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.0739 - acc: 0.6487 - val_loss: 3.1142 - val_acc: 0.0823\n",
      "Epoch 800/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.0626 - acc: 0.6571 - val_loss: 3.1731 - val_acc: 0.1076\n",
      "Epoch 801/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.0778 - acc: 0.6404 - val_loss: 3.1283 - val_acc: 0.1013\n",
      "Epoch 802/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.0344 - acc: 0.6840 - val_loss: 3.1892 - val_acc: 0.1076\n",
      "Epoch 803/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.0577 - acc: 0.6525 - val_loss: 3.1551 - val_acc: 0.1076\n",
      "Epoch 804/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.0452 - acc: 0.6599 - val_loss: 3.2233 - val_acc: 0.1013\n",
      "Epoch 805/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.0322 - acc: 0.6599 - val_loss: 3.1672 - val_acc: 0.0949\n",
      "Epoch 806/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.0397 - acc: 0.6571 - val_loss: 3.1424 - val_acc: 0.1139\n",
      "Epoch 807/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.0268 - acc: 0.6830 - val_loss: 3.1812 - val_acc: 0.0949\n",
      "Epoch 808/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.0334 - acc: 0.6682 - val_loss: 3.1511 - val_acc: 0.1076\n",
      "Epoch 809/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.0408 - acc: 0.6784 - val_loss: 3.2476 - val_acc: 0.1013\n",
      "Epoch 810/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.0361 - acc: 0.6766 - val_loss: 3.2503 - val_acc: 0.0949\n",
      "Epoch 811/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.0241 - acc: 0.6691 - val_loss: 3.2871 - val_acc: 0.1139\n",
      "Epoch 812/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.0377 - acc: 0.6497 - val_loss: 3.2443 - val_acc: 0.0949\n",
      "Epoch 813/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.0369 - acc: 0.6617 - val_loss: 3.1465 - val_acc: 0.0949\n",
      "Epoch 814/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.0267 - acc: 0.6617 - val_loss: 3.1566 - val_acc: 0.1013\n",
      "Epoch 815/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.0123 - acc: 0.6756 - val_loss: 3.1614 - val_acc: 0.1013\n",
      "Epoch 816/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.0341 - acc: 0.6571 - val_loss: 3.1561 - val_acc: 0.0823\n",
      "Epoch 817/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.0145 - acc: 0.6719 - val_loss: 3.2626 - val_acc: 0.1076\n",
      "Epoch 818/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.0019 - acc: 0.6701 - val_loss: 3.1932 - val_acc: 0.0949\n",
      "Epoch 819/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.0058 - acc: 0.6766 - val_loss: 3.2148 - val_acc: 0.1013\n",
      "Epoch 820/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.0016 - acc: 0.6830 - val_loss: 3.1842 - val_acc: 0.0949\n",
      "Epoch 821/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 0.9864 - acc: 0.6830 - val_loss: 3.2094 - val_acc: 0.1013\n",
      "Epoch 822/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.0120 - acc: 0.6664 - val_loss: 3.2204 - val_acc: 0.1139\n",
      "Epoch 823/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.0032 - acc: 0.6645 - val_loss: 3.2901 - val_acc: 0.0949\n",
      "Epoch 824/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 0.9954 - acc: 0.6766 - val_loss: 3.2431 - val_acc: 0.0886\n",
      "Epoch 825/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.0090 - acc: 0.6664 - val_loss: 3.2258 - val_acc: 0.1139\n",
      "Epoch 826/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 0.9969 - acc: 0.6710 - val_loss: 3.2394 - val_acc: 0.1203\n",
      "Epoch 827/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 0.9892 - acc: 0.6858 - val_loss: 3.2211 - val_acc: 0.1013\n",
      "Epoch 828/1000\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1079/1079 [==============================] - 2s 2ms/step - loss: 0.9897 - acc: 0.6728 - val_loss: 3.2446 - val_acc: 0.1139\n",
      "Epoch 829/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.0083 - acc: 0.6812 - val_loss: 3.2240 - val_acc: 0.0823\n",
      "Epoch 830/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.0083 - acc: 0.6821 - val_loss: 3.2161 - val_acc: 0.0949\n",
      "Epoch 831/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 0.9996 - acc: 0.6867 - val_loss: 3.2613 - val_acc: 0.1139\n",
      "Epoch 832/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 0.9714 - acc: 0.6877 - val_loss: 3.2090 - val_acc: 0.0949\n",
      "Epoch 833/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 1.0053 - acc: 0.6664 - val_loss: 3.2578 - val_acc: 0.1076\n",
      "Epoch 834/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 0.9866 - acc: 0.6858 - val_loss: 3.2234 - val_acc: 0.0949\n",
      "Epoch 835/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 0.9729 - acc: 0.7034 - val_loss: 3.2549 - val_acc: 0.1013\n",
      "Epoch 836/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 0.9892 - acc: 0.6849 - val_loss: 3.2544 - val_acc: 0.1013\n",
      "Epoch 837/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 0.9579 - acc: 0.6886 - val_loss: 3.2861 - val_acc: 0.0949\n",
      "Epoch 838/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 0.9715 - acc: 0.6942 - val_loss: 3.2593 - val_acc: 0.1076\n",
      "Epoch 839/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 0.9566 - acc: 0.6895 - val_loss: 3.2710 - val_acc: 0.1013\n",
      "Epoch 840/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 0.9583 - acc: 0.6932 - val_loss: 3.2637 - val_acc: 0.1013\n",
      "Epoch 841/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 0.9624 - acc: 0.6895 - val_loss: 3.2645 - val_acc: 0.0823\n",
      "Epoch 842/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 0.9393 - acc: 0.7006 - val_loss: 3.2237 - val_acc: 0.0949\n",
      "Epoch 843/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 0.9433 - acc: 0.6988 - val_loss: 3.3337 - val_acc: 0.1076\n",
      "Epoch 844/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 0.9598 - acc: 0.6979 - val_loss: 3.3147 - val_acc: 0.0949\n",
      "Epoch 845/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 0.9573 - acc: 0.6858 - val_loss: 3.3441 - val_acc: 0.0886\n",
      "Epoch 846/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 0.9561 - acc: 0.6951 - val_loss: 3.2951 - val_acc: 0.0886\n",
      "Epoch 847/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 0.9485 - acc: 0.6951 - val_loss: 3.3039 - val_acc: 0.0886\n",
      "Epoch 848/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 0.9247 - acc: 0.7016 - val_loss: 3.2802 - val_acc: 0.0823\n",
      "Epoch 849/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 0.9523 - acc: 0.7016 - val_loss: 3.3724 - val_acc: 0.0949\n",
      "Epoch 850/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 0.9240 - acc: 0.7201 - val_loss: 3.3065 - val_acc: 0.0949\n",
      "Epoch 851/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 0.9594 - acc: 0.6979 - val_loss: 3.2981 - val_acc: 0.1139\n",
      "Epoch 852/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 0.9165 - acc: 0.7053 - val_loss: 3.3267 - val_acc: 0.1013\n",
      "Epoch 853/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 0.9596 - acc: 0.6867 - val_loss: 3.3245 - val_acc: 0.1076\n",
      "Epoch 854/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 0.9267 - acc: 0.7136 - val_loss: 3.4643 - val_acc: 0.1076\n",
      "Epoch 855/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 0.9561 - acc: 0.7006 - val_loss: 3.3276 - val_acc: 0.1139\n",
      "Epoch 856/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 0.9166 - acc: 0.7025 - val_loss: 3.3056 - val_acc: 0.0949\n",
      "Epoch 857/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 0.9236 - acc: 0.7016 - val_loss: 3.3218 - val_acc: 0.0949\n",
      "Epoch 858/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 0.9122 - acc: 0.7127 - val_loss: 3.3303 - val_acc: 0.1076\n",
      "Epoch 859/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 0.9146 - acc: 0.7146 - val_loss: 3.3871 - val_acc: 0.0949\n",
      "Epoch 860/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 0.9388 - acc: 0.6969 - val_loss: 3.3810 - val_acc: 0.0949\n",
      "Epoch 861/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 0.9265 - acc: 0.7071 - val_loss: 3.4017 - val_acc: 0.0949\n",
      "Epoch 862/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 0.9334 - acc: 0.7146 - val_loss: 3.3285 - val_acc: 0.1013\n",
      "Epoch 863/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 0.9362 - acc: 0.7118 - val_loss: 3.4496 - val_acc: 0.1076\n",
      "Epoch 864/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 0.9007 - acc: 0.7146 - val_loss: 3.3575 - val_acc: 0.0886\n",
      "Epoch 865/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 0.9064 - acc: 0.7220 - val_loss: 3.3673 - val_acc: 0.0949\n",
      "Epoch 866/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 0.8976 - acc: 0.7220 - val_loss: 3.3191 - val_acc: 0.1076\n",
      "Epoch 867/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 0.9296 - acc: 0.6895 - val_loss: 3.3442 - val_acc: 0.1139\n",
      "Epoch 868/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 0.9059 - acc: 0.7118 - val_loss: 3.4631 - val_acc: 0.1013\n",
      "Epoch 869/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 0.8990 - acc: 0.7118 - val_loss: 3.3707 - val_acc: 0.1076\n",
      "Epoch 870/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 0.8868 - acc: 0.7155 - val_loss: 3.3793 - val_acc: 0.1139\n",
      "Epoch 871/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 0.9018 - acc: 0.7118 - val_loss: 3.3706 - val_acc: 0.0949\n",
      "Epoch 872/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 0.9088 - acc: 0.7173 - val_loss: 3.3660 - val_acc: 0.1139\n",
      "Epoch 873/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 0.9201 - acc: 0.7118 - val_loss: 3.3286 - val_acc: 0.0886\n",
      "Epoch 874/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 0.9001 - acc: 0.7090 - val_loss: 3.3247 - val_acc: 0.0886\n",
      "Epoch 875/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 0.8929 - acc: 0.7164 - val_loss: 3.3892 - val_acc: 0.0949\n",
      "Epoch 876/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 0.8738 - acc: 0.7090 - val_loss: 3.4234 - val_acc: 0.0886\n",
      "Epoch 877/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 0.8535 - acc: 0.7368 - val_loss: 3.3974 - val_acc: 0.0949\n",
      "Epoch 878/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 0.8890 - acc: 0.6969 - val_loss: 3.3898 - val_acc: 0.1013\n",
      "Epoch 879/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 0.8633 - acc: 0.7368 - val_loss: 3.4342 - val_acc: 0.0886\n",
      "Epoch 880/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 0.8621 - acc: 0.7377 - val_loss: 3.3979 - val_acc: 0.0886\n",
      "Epoch 881/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 0.8821 - acc: 0.7257 - val_loss: 3.4304 - val_acc: 0.1139\n",
      "Epoch 882/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 0.8682 - acc: 0.7322 - val_loss: 3.3767 - val_acc: 0.1013\n",
      "Epoch 883/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 0.8830 - acc: 0.7192 - val_loss: 3.4339 - val_acc: 0.0949\n",
      "Epoch 884/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 0.8771 - acc: 0.7275 - val_loss: 3.3887 - val_acc: 0.1013\n",
      "Epoch 885/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 0.8461 - acc: 0.7451 - val_loss: 3.4722 - val_acc: 0.1013\n",
      "Epoch 886/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 0.8595 - acc: 0.7266 - val_loss: 3.4200 - val_acc: 0.0949\n",
      "Epoch 887/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 0.8863 - acc: 0.7220 - val_loss: 3.3835 - val_acc: 0.0949\n",
      "Epoch 888/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 0.8521 - acc: 0.7396 - val_loss: 3.4844 - val_acc: 0.1013\n",
      "Epoch 889/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 0.8692 - acc: 0.7303 - val_loss: 3.3935 - val_acc: 0.0949\n",
      "Epoch 890/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 0.8465 - acc: 0.7442 - val_loss: 3.4435 - val_acc: 0.0949\n",
      "Epoch 891/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 0.8433 - acc: 0.7377 - val_loss: 3.4118 - val_acc: 0.1013\n",
      "Epoch 892/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 0.8505 - acc: 0.7386 - val_loss: 3.4517 - val_acc: 0.1013\n",
      "Epoch 893/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 0.8789 - acc: 0.7044 - val_loss: 3.4135 - val_acc: 0.0949\n",
      "Epoch 894/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 0.8388 - acc: 0.7368 - val_loss: 3.4261 - val_acc: 0.0949\n",
      "Epoch 895/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 0.8658 - acc: 0.7359 - val_loss: 3.3974 - val_acc: 0.1076\n",
      "Epoch 896/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 0.8371 - acc: 0.7377 - val_loss: 3.4236 - val_acc: 0.1076\n",
      "Epoch 897/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 0.8422 - acc: 0.7303 - val_loss: 3.4346 - val_acc: 0.1076\n",
      "Epoch 898/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 0.8437 - acc: 0.7322 - val_loss: 3.4983 - val_acc: 0.0949\n",
      "Epoch 899/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 0.8353 - acc: 0.7331 - val_loss: 3.5094 - val_acc: 0.0823\n",
      "Epoch 900/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 0.8379 - acc: 0.7414 - val_loss: 3.4591 - val_acc: 0.0949\n",
      "Epoch 901/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 0.8460 - acc: 0.7424 - val_loss: 3.4356 - val_acc: 0.0949\n",
      "Epoch 902/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 0.8312 - acc: 0.7479 - val_loss: 3.4268 - val_acc: 0.1013\n",
      "Epoch 903/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 0.7988 - acc: 0.7488 - val_loss: 3.4724 - val_acc: 0.1013\n",
      "Epoch 904/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 0.8031 - acc: 0.7674 - val_loss: 3.4929 - val_acc: 0.0886\n",
      "Epoch 905/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 0.8105 - acc: 0.7572 - val_loss: 3.5035 - val_acc: 0.1139\n",
      "Epoch 906/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 0.8258 - acc: 0.7340 - val_loss: 3.4562 - val_acc: 0.0949\n",
      "Epoch 907/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 0.8156 - acc: 0.7424 - val_loss: 3.4680 - val_acc: 0.0949\n",
      "Epoch 908/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 0.7973 - acc: 0.7433 - val_loss: 3.4906 - val_acc: 0.0886\n",
      "Epoch 909/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 0.8177 - acc: 0.7414 - val_loss: 3.4992 - val_acc: 0.1013\n",
      "Epoch 910/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 0.7906 - acc: 0.7507 - val_loss: 3.4760 - val_acc: 0.1013\n",
      "Epoch 911/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 0.8037 - acc: 0.7424 - val_loss: 3.5206 - val_acc: 0.0886\n",
      "Epoch 912/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 0.8044 - acc: 0.7433 - val_loss: 3.4964 - val_acc: 0.0949\n",
      "Epoch 913/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 0.8138 - acc: 0.7424 - val_loss: 3.5238 - val_acc: 0.1076\n",
      "Epoch 914/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 0.8033 - acc: 0.7525 - val_loss: 3.5291 - val_acc: 0.1013\n",
      "Epoch 915/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 0.8149 - acc: 0.7488 - val_loss: 3.5318 - val_acc: 0.0949\n",
      "Epoch 916/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 0.8179 - acc: 0.7470 - val_loss: 3.4960 - val_acc: 0.1013\n",
      "Epoch 917/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 0.7972 - acc: 0.7414 - val_loss: 3.4814 - val_acc: 0.0949\n",
      "Epoch 918/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 0.8139 - acc: 0.7470 - val_loss: 3.4915 - val_acc: 0.1139\n",
      "Epoch 919/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 0.7835 - acc: 0.7627 - val_loss: 3.5431 - val_acc: 0.1139\n",
      "Epoch 920/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 0.7968 - acc: 0.7470 - val_loss: 3.4667 - val_acc: 0.0949\n",
      "Epoch 921/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 0.7977 - acc: 0.7525 - val_loss: 3.4947 - val_acc: 0.0949\n",
      "Epoch 922/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 0.7881 - acc: 0.7525 - val_loss: 3.5081 - val_acc: 0.1013\n",
      "Epoch 923/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 0.7852 - acc: 0.7488 - val_loss: 3.6096 - val_acc: 0.1013\n",
      "Epoch 924/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 0.7835 - acc: 0.7498 - val_loss: 3.4875 - val_acc: 0.0823\n",
      "Epoch 925/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 0.7984 - acc: 0.7488 - val_loss: 3.5299 - val_acc: 0.0886\n",
      "Epoch 926/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 0.7767 - acc: 0.7507 - val_loss: 3.5361 - val_acc: 0.0949\n",
      "Epoch 927/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 0.7715 - acc: 0.7535 - val_loss: 3.6743 - val_acc: 0.0823\n",
      "Epoch 928/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 0.7953 - acc: 0.7516 - val_loss: 3.5349 - val_acc: 0.1013\n",
      "Epoch 929/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 0.7988 - acc: 0.7414 - val_loss: 3.5208 - val_acc: 0.1013\n",
      "Epoch 930/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 0.7835 - acc: 0.7544 - val_loss: 3.5551 - val_acc: 0.0949\n",
      "Epoch 931/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 0.7562 - acc: 0.7618 - val_loss: 3.5395 - val_acc: 0.1013\n",
      "Epoch 932/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 0.7842 - acc: 0.7572 - val_loss: 3.5330 - val_acc: 0.0949\n",
      "Epoch 933/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 0.7728 - acc: 0.7655 - val_loss: 3.5652 - val_acc: 0.1013\n",
      "Epoch 934/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 0.7357 - acc: 0.7757 - val_loss: 3.5746 - val_acc: 0.0949\n",
      "Epoch 935/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 0.8065 - acc: 0.7359 - val_loss: 3.6188 - val_acc: 0.0949\n",
      "Epoch 936/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 0.7654 - acc: 0.7618 - val_loss: 3.5938 - val_acc: 0.1013\n",
      "Epoch 937/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 0.7467 - acc: 0.7655 - val_loss: 3.5552 - val_acc: 0.1013\n",
      "Epoch 938/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 0.7853 - acc: 0.7386 - val_loss: 3.6173 - val_acc: 0.0823\n",
      "Epoch 939/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 0.7445 - acc: 0.7618 - val_loss: 3.5429 - val_acc: 0.0949\n",
      "Epoch 940/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 0.7609 - acc: 0.7637 - val_loss: 3.5777 - val_acc: 0.0949\n",
      "Epoch 941/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 0.7370 - acc: 0.7868 - val_loss: 3.6173 - val_acc: 0.0949\n",
      "Epoch 942/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 0.7594 - acc: 0.7692 - val_loss: 3.6045 - val_acc: 0.0949\n",
      "Epoch 943/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 0.7604 - acc: 0.7702 - val_loss: 3.6146 - val_acc: 0.0886\n",
      "Epoch 944/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 0.7503 - acc: 0.7637 - val_loss: 3.5941 - val_acc: 0.1139\n",
      "Epoch 945/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 0.7266 - acc: 0.7702 - val_loss: 3.5906 - val_acc: 0.0886\n",
      "Epoch 946/1000\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1079/1079 [==============================] - 2s 2ms/step - loss: 0.7527 - acc: 0.7646 - val_loss: 3.6326 - val_acc: 0.1013\n",
      "Epoch 947/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 0.7321 - acc: 0.7757 - val_loss: 3.5855 - val_acc: 0.1076\n",
      "Epoch 948/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 0.7640 - acc: 0.7590 - val_loss: 3.6560 - val_acc: 0.0886\n",
      "Epoch 949/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 0.7237 - acc: 0.7683 - val_loss: 3.6692 - val_acc: 0.0886\n",
      "Epoch 950/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 0.7385 - acc: 0.7665 - val_loss: 3.6918 - val_acc: 0.1013\n",
      "Epoch 951/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 0.7389 - acc: 0.7729 - val_loss: 3.6411 - val_acc: 0.0886\n",
      "Epoch 952/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 0.7200 - acc: 0.7794 - val_loss: 3.6129 - val_acc: 0.0886\n",
      "Epoch 953/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 0.7265 - acc: 0.7739 - val_loss: 3.6171 - val_acc: 0.0886\n",
      "Epoch 954/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 0.7262 - acc: 0.7813 - val_loss: 3.6164 - val_acc: 0.0886\n",
      "Epoch 955/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 0.7066 - acc: 0.7683 - val_loss: 3.6437 - val_acc: 0.1013\n",
      "Epoch 956/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 0.7335 - acc: 0.7711 - val_loss: 3.6542 - val_acc: 0.0949\n",
      "Epoch 957/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 0.7049 - acc: 0.7859 - val_loss: 3.6793 - val_acc: 0.1013\n",
      "Epoch 958/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 0.6935 - acc: 0.7896 - val_loss: 3.6507 - val_acc: 0.1139\n",
      "Epoch 959/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 0.6997 - acc: 0.7868 - val_loss: 3.6818 - val_acc: 0.0759\n",
      "Epoch 960/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 0.7230 - acc: 0.7637 - val_loss: 3.7268 - val_acc: 0.1013\n",
      "Epoch 961/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 0.7232 - acc: 0.7720 - val_loss: 3.6384 - val_acc: 0.0823\n",
      "Epoch 962/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 0.6825 - acc: 0.7933 - val_loss: 3.7095 - val_acc: 0.1076\n",
      "Epoch 963/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 0.7066 - acc: 0.7905 - val_loss: 3.6627 - val_acc: 0.0949\n",
      "Epoch 964/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 0.6908 - acc: 0.7822 - val_loss: 3.6841 - val_acc: 0.1013\n",
      "Epoch 965/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 0.7103 - acc: 0.7729 - val_loss: 3.6665 - val_acc: 0.1076\n",
      "Epoch 966/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 0.6876 - acc: 0.7924 - val_loss: 3.7357 - val_acc: 0.1013\n",
      "Epoch 967/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 0.7130 - acc: 0.7674 - val_loss: 3.6505 - val_acc: 0.1013\n",
      "Epoch 968/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 0.6893 - acc: 0.7887 - val_loss: 3.7177 - val_acc: 0.1013\n",
      "Epoch 969/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 0.6920 - acc: 0.7757 - val_loss: 3.6740 - val_acc: 0.0949\n",
      "Epoch 970/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 0.6965 - acc: 0.7850 - val_loss: 3.6861 - val_acc: 0.0886\n",
      "Epoch 971/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 0.6890 - acc: 0.7822 - val_loss: 3.7259 - val_acc: 0.0949\n",
      "Epoch 972/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 0.6696 - acc: 0.7989 - val_loss: 3.7091 - val_acc: 0.0949\n",
      "Epoch 973/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 0.6750 - acc: 0.7998 - val_loss: 3.6856 - val_acc: 0.1013\n",
      "Epoch 974/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 0.6748 - acc: 0.7896 - val_loss: 3.7361 - val_acc: 0.0823\n",
      "Epoch 975/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 0.6954 - acc: 0.7868 - val_loss: 3.6526 - val_acc: 0.1013\n",
      "Epoch 976/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 0.6667 - acc: 0.7989 - val_loss: 3.7097 - val_acc: 0.1076\n",
      "Epoch 977/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 0.6847 - acc: 0.7804 - val_loss: 3.7051 - val_acc: 0.1013\n",
      "Epoch 978/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 0.6887 - acc: 0.7776 - val_loss: 3.6955 - val_acc: 0.0949\n",
      "Epoch 979/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 0.6962 - acc: 0.7822 - val_loss: 3.6820 - val_acc: 0.1013\n",
      "Epoch 980/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 0.6820 - acc: 0.7970 - val_loss: 3.8595 - val_acc: 0.0886\n",
      "Epoch 981/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 0.6757 - acc: 0.7850 - val_loss: 3.7396 - val_acc: 0.1076\n",
      "Epoch 982/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 0.6734 - acc: 0.7961 - val_loss: 3.7245 - val_acc: 0.0886\n",
      "Epoch 983/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 0.6963 - acc: 0.7868 - val_loss: 3.7156 - val_acc: 0.0949\n",
      "Epoch 984/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 0.6495 - acc: 0.8082 - val_loss: 3.7407 - val_acc: 0.0949\n",
      "Epoch 985/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 0.6758 - acc: 0.7887 - val_loss: 3.7760 - val_acc: 0.0886\n",
      "Epoch 986/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 0.6558 - acc: 0.8026 - val_loss: 3.7959 - val_acc: 0.0886\n",
      "Epoch 987/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 0.6740 - acc: 0.7970 - val_loss: 3.7789 - val_acc: 0.0886\n",
      "Epoch 988/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 0.6686 - acc: 0.7961 - val_loss: 3.8102 - val_acc: 0.1013\n",
      "Epoch 989/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 0.6407 - acc: 0.7970 - val_loss: 3.7693 - val_acc: 0.0886\n",
      "Epoch 990/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 0.6471 - acc: 0.7924 - val_loss: 3.7853 - val_acc: 0.1013\n",
      "Epoch 991/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 0.6510 - acc: 0.7841 - val_loss: 3.7224 - val_acc: 0.1013\n",
      "Epoch 992/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 0.6263 - acc: 0.8193 - val_loss: 3.8049 - val_acc: 0.1013\n",
      "Epoch 993/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 0.6629 - acc: 0.7980 - val_loss: 3.7777 - val_acc: 0.1013\n",
      "Epoch 994/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 0.6576 - acc: 0.7980 - val_loss: 3.8103 - val_acc: 0.0949\n",
      "Epoch 995/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 0.6168 - acc: 0.8054 - val_loss: 3.7859 - val_acc: 0.1013\n",
      "Epoch 996/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 0.6367 - acc: 0.8109 - val_loss: 3.8080 - val_acc: 0.0949\n",
      "Epoch 997/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 0.6367 - acc: 0.8156 - val_loss: 3.9319 - val_acc: 0.1013\n",
      "Epoch 998/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 0.6327 - acc: 0.8184 - val_loss: 3.8033 - val_acc: 0.1013\n",
      "Epoch 999/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 0.6450 - acc: 0.8007 - val_loss: 3.7844 - val_acc: 0.0949\n",
      "Epoch 1000/1000\n",
      "1079/1079 [==============================] - 2s 2ms/step - loss: 0.6376 - acc: 0.7989 - val_loss: 3.7799 - val_acc: 0.1013\n"
     ]
    }
   ],
   "source": [
    "cnnhistory=model.fit(x_traincnn, y_train, batch_size=32, epochs=1000, validation_data=(x_testcnn, y_test))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "cnnhistory"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "ename": "NameError",
     "evalue": "name 'cnnhistory' is not defined",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mNameError\u001b[0m                                 Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-1-00d6aeb0b05b>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[1;32m      1\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mmatplotlib\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mpyplot\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0mplt\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      2\u001b[0m \u001b[0;31m# Plot training & validation accuracy values\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 3\u001b[0;31m \u001b[0mplt\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mplot\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mcnnhistory\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mhistory\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'acc'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      4\u001b[0m \u001b[0mplt\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mplot\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mcnnhistory\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mhistory\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'val_acc'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      5\u001b[0m \u001b[0mplt\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtitle\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'Model accuracy'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;31mNameError\u001b[0m: name 'cnnhistory' is not defined"
     ]
    }
   ],
   "source": [
    "# import matplotlib.pyplot as plt\n",
    "# # Plot training & validation accuracy values\n",
    "# plt.plot(cnnhistory.history['acc'])\n",
    "# plt.plot(cnnhistory.history['val_acc'])\n",
    "# plt.title('Model accuracy')\n",
    "# plt.ylabel('Accuracy')\n",
    "# plt.xlabel('Epoch')\n",
    "# plt.legend(['Train', 'Test'], loc='upper left')\n",
    "# plt.save(\"Attempt0Acc.png\")\n",
    "\n",
    "# Plot training & validation loss values\n",
    "plt.plot(cnnhistory.history['loss'])\n",
    "plt.plot(cnnhistory.history['val_loss'])\n",
    "plt.title('Model loss')\n",
    "plt.ylabel('Loss')\n",
    "plt.xlabel('Epoch')\n",
    "plt.legend(['Train', 'Test'], loc='upper left')\n",
    "plt.save(\"Attempt0Loss.png\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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