Visualize_RMSE_Boxplot.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Box Plot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-01-19T19:11:52.955937Z",
     "start_time": "2021-01-19T19:11:52.132752Z"
    }
   },
   "outputs": [],
   "source": [
    "import warnings\n",
    "import itertools\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "warnings.filterwarnings(\"ignore\")\n",
    "plt.style.use('fivethirtyeight')\n",
    "import pandas as pd\n",
    "#import statsmodels.api as sm\n",
    "import seaborn as sns\n",
    "import matplotlib\n",
    "\n",
    "matplotlib.rcParams['axes.labelsize']=14\n",
    "matplotlib.rcParams['xtick.labelsize']=12\n",
    "matplotlib.rcParams['ytick.labelsize']=12\n",
    "matplotlib.rcParams['text.color']='k'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-01-19T19:11:52.971940Z",
     "start_time": "2021-01-19T19:11:52.956937Z"
    }
   },
   "outputs": [],
   "source": [
    "pd.set_option('display.max_columns',500) \n",
    "#출력시 생략 X"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-01-19T19:11:53.098756Z",
     "start_time": "2021-01-19T19:11:52.972941Z"
    }
   },
   "outputs": [],
   "source": [
    "df1_val = pd.read_excel(\"BG_Univariate.xlsx\",sheet_name=\"Validation\")\n",
    "df1_val=df1_val.set_index('VAL')\n",
    "df1_train = pd.read_excel(\"BG_Univariate.xlsx\",sheet_name=\"Train\")\n",
    "df1_train=df1_train.set_index('TRAIN')\n",
    "df2_val = pd.read_excel(\"BG_Multivariate_Value.xlsx\",sheet_name=\"Validation\")\n",
    "df2_val=df2_val.set_index('VAL')\n",
    "df2_train = pd.read_excel(\"BG_Multivariate_Value.xlsx\",sheet_name=\"Train\")\n",
    "df2_train=df2_train.set_index('TRAIN')\n",
    "df3_val = pd.read_excel(\"BG_Multivariate_0_1.xlsx\",sheet_name=\"Validation\")\n",
    "df3_val=df3_val.set_index('VAL')\n",
    "df3_train = pd.read_excel(\"BG_Multivariate_0_1.xlsx\",sheet_name=\"Train\")\n",
    "df3_train=df3_train.set_index('TRAIN')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-01-19T19:11:53.114586Z",
     "start_time": "2021-01-19T19:11:53.099757Z"
    }
   },
   "outputs": [],
   "source": [
    "cols=['Comment']\n",
    "df2_val.drop(cols, axis=1, inplace=True)\n",
    "df2_train.drop(cols, axis=1, inplace=True)\n",
    "df3_val.drop(cols, axis=1, inplace=True)\n",
    "df3_train.drop(cols, axis=1, inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-01-19T19:11:53.145594Z",
     "start_time": "2021-01-19T19:11:53.115588Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>RNN_15</th>\n",
       "      <th>RNN_30</th>\n",
       "      <th>RNN_60</th>\n",
       "      <th>LSTM_15</th>\n",
       "      <th>LSTM_30</th>\n",
       "      <th>LSTM_60</th>\n",
       "      <th>SLSTM_15</th>\n",
       "      <th>SLSTM_30</th>\n",
       "      <th>SLSTM_60</th>\n",
       "      <th>BLSTM_15</th>\n",
       "      <th>BLSTM_30</th>\n",
       "      <th>BLSTM_60</th>\n",
       "      <th>GRU_15</th>\n",
       "      <th>GRU_30</th>\n",
       "      <th>GRU_60</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>VAL</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Sam_1</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sam_3</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sam_4</th>\n",
       "      <td>12.348254</td>\n",
       "      <td>20.032011</td>\n",
       "      <td>35.058868</td>\n",
       "      <td>12.714410</td>\n",
       "      <td>20.201773</td>\n",
       "      <td>35.618450</td>\n",
       "      <td>11.113446</td>\n",
       "      <td>18.124851</td>\n",
       "      <td>31.904629</td>\n",
       "      <td>11.407502</td>\n",
       "      <td>19.842045</td>\n",
       "      <td>35.741947</td>\n",
       "      <td>12.232445</td>\n",
       "      <td>19.157049</td>\n",
       "      <td>34.418507</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sam_5</th>\n",
       "      <td>11.030983</td>\n",
       "      <td>20.169693</td>\n",
       "      <td>33.031170</td>\n",
       "      <td>11.138407</td>\n",
       "      <td>19.638182</td>\n",
       "      <td>34.081615</td>\n",
       "      <td>10.909716</td>\n",
       "      <td>20.304680</td>\n",
       "      <td>34.685020</td>\n",
       "      <td>11.274434</td>\n",
       "      <td>20.125393</td>\n",
       "      <td>35.691242</td>\n",
       "      <td>10.601842</td>\n",
       "      <td>19.622520</td>\n",
       "      <td>34.607445</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sam_6</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sam_7</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sam_8</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sam_9</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sam_10</th>\n",
       "      <td>10.255667</td>\n",
       "      <td>15.723925</td>\n",
       "      <td>29.093735</td>\n",
       "      <td>8.830861</td>\n",
       "      <td>16.365564</td>\n",
       "      <td>28.707188</td>\n",
       "      <td>9.476698</td>\n",
       "      <td>15.699814</td>\n",
       "      <td>27.220388</td>\n",
       "      <td>8.993172</td>\n",
       "      <td>15.732971</td>\n",
       "      <td>31.237423</td>\n",
       "      <td>9.695850</td>\n",
       "      <td>17.592098</td>\n",
       "      <td>29.185032</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sam_11</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sam_12</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sam_13</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sam_14</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sam_15</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sam_16</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sam_17</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sam_18</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sam_19</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sam_20</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>RMSE_MEAN</th>\n",
       "      <td>11.211635</td>\n",
       "      <td>18.641876</td>\n",
       "      <td>32.394591</td>\n",
       "      <td>10.894559</td>\n",
       "      <td>18.735173</td>\n",
       "      <td>32.802418</td>\n",
       "      <td>10.499953</td>\n",
       "      <td>18.043115</td>\n",
       "      <td>31.270012</td>\n",
       "      <td>10.558369</td>\n",
       "      <td>18.566803</td>\n",
       "      <td>34.223537</td>\n",
       "      <td>10.843379</td>\n",
       "      <td>18.790556</td>\n",
       "      <td>32.736995</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              RNN_15     RNN_30     RNN_60    LSTM_15    LSTM_30    LSTM_60  \\\n",
       "VAL                                                                           \n",
       "Sam_1            NaN        NaN        NaN        NaN        NaN        NaN   \n",
       "Sam_3            NaN        NaN        NaN        NaN        NaN        NaN   \n",
       "Sam_4      12.348254  20.032011  35.058868  12.714410  20.201773  35.618450   \n",
       "Sam_5      11.030983  20.169693  33.031170  11.138407  19.638182  34.081615   \n",
       "Sam_6            NaN        NaN        NaN        NaN        NaN        NaN   \n",
       "Sam_7            NaN        NaN        NaN        NaN        NaN        NaN   \n",
       "Sam_8            NaN        NaN        NaN        NaN        NaN        NaN   \n",
       "Sam_9            NaN        NaN        NaN        NaN        NaN        NaN   \n",
       "Sam_10     10.255667  15.723925  29.093735   8.830861  16.365564  28.707188   \n",
       "Sam_11           NaN        NaN        NaN        NaN        NaN        NaN   \n",
       "Sam_12           NaN        NaN        NaN        NaN        NaN        NaN   \n",
       "Sam_13           NaN        NaN        NaN        NaN        NaN        NaN   \n",
       "Sam_14           NaN        NaN        NaN        NaN        NaN        NaN   \n",
       "Sam_15           NaN        NaN        NaN        NaN        NaN        NaN   \n",
       "Sam_16           NaN        NaN        NaN        NaN        NaN        NaN   \n",
       "Sam_17           NaN        NaN        NaN        NaN        NaN        NaN   \n",
       "Sam_18           NaN        NaN        NaN        NaN        NaN        NaN   \n",
       "Sam_19           NaN        NaN        NaN        NaN        NaN        NaN   \n",
       "Sam_20           NaN        NaN        NaN        NaN        NaN        NaN   \n",
       "RMSE_MEAN  11.211635  18.641876  32.394591  10.894559  18.735173  32.802418   \n",
       "\n",
       "            SLSTM_15   SLSTM_30   SLSTM_60   BLSTM_15   BLSTM_30   BLSTM_60  \\\n",
       "VAL                                                                           \n",
       "Sam_1            NaN        NaN        NaN        NaN        NaN        NaN   \n",
       "Sam_3            NaN        NaN        NaN        NaN        NaN        NaN   \n",
       "Sam_4      11.113446  18.124851  31.904629  11.407502  19.842045  35.741947   \n",
       "Sam_5      10.909716  20.304680  34.685020  11.274434  20.125393  35.691242   \n",
       "Sam_6            NaN        NaN        NaN        NaN        NaN        NaN   \n",
       "Sam_7            NaN        NaN        NaN        NaN        NaN        NaN   \n",
       "Sam_8            NaN        NaN        NaN        NaN        NaN        NaN   \n",
       "Sam_9            NaN        NaN        NaN        NaN        NaN        NaN   \n",
       "Sam_10      9.476698  15.699814  27.220388   8.993172  15.732971  31.237423   \n",
       "Sam_11           NaN        NaN        NaN        NaN        NaN        NaN   \n",
       "Sam_12           NaN        NaN        NaN        NaN        NaN        NaN   \n",
       "Sam_13           NaN        NaN        NaN        NaN        NaN        NaN   \n",
       "Sam_14           NaN        NaN        NaN        NaN        NaN        NaN   \n",
       "Sam_15           NaN        NaN        NaN        NaN        NaN        NaN   \n",
       "Sam_16           NaN        NaN        NaN        NaN        NaN        NaN   \n",
       "Sam_17           NaN        NaN        NaN        NaN        NaN        NaN   \n",
       "Sam_18           NaN        NaN        NaN        NaN        NaN        NaN   \n",
       "Sam_19           NaN        NaN        NaN        NaN        NaN        NaN   \n",
       "Sam_20           NaN        NaN        NaN        NaN        NaN        NaN   \n",
       "RMSE_MEAN  10.499953  18.043115  31.270012  10.558369  18.566803  34.223537   \n",
       "\n",
       "              GRU_15     GRU_30     GRU_60  \n",
       "VAL                                         \n",
       "Sam_1            NaN        NaN        NaN  \n",
       "Sam_3            NaN        NaN        NaN  \n",
       "Sam_4      12.232445  19.157049  34.418507  \n",
       "Sam_5      10.601842  19.622520  34.607445  \n",
       "Sam_6            NaN        NaN        NaN  \n",
       "Sam_7            NaN        NaN        NaN  \n",
       "Sam_8            NaN        NaN        NaN  \n",
       "Sam_9            NaN        NaN        NaN  \n",
       "Sam_10      9.695850  17.592098  29.185032  \n",
       "Sam_11           NaN        NaN        NaN  \n",
       "Sam_12           NaN        NaN        NaN  \n",
       "Sam_13           NaN        NaN        NaN  \n",
       "Sam_14           NaN        NaN        NaN  \n",
       "Sam_15           NaN        NaN        NaN  \n",
       "Sam_16           NaN        NaN        NaN  \n",
       "Sam_17           NaN        NaN        NaN  \n",
       "Sam_18           NaN        NaN        NaN  \n",
       "Sam_19           NaN        NaN        NaN  \n",
       "Sam_20           NaN        NaN        NaN  \n",
       "RMSE_MEAN  10.843379  18.790556  32.736995  "
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df2_val"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-01-19T19:11:53.161596Z",
     "start_time": "2021-01-19T19:11:53.146594Z"
    }
   },
   "outputs": [],
   "source": [
    "df1_val=df1_val.dropna()\n",
    "df1_train=df1_train.dropna()\n",
    "df2_val=df2_val.dropna()\n",
    "df2_train=df2_train.dropna()\n",
    "df3_val=df3_val.dropna()\n",
    "df3_train=df3_train.dropna()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-01-19T19:11:53.177601Z",
     "start_time": "2021-01-19T19:11:53.162597Z"
    }
   },
   "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>RNN_15</th>\n",
       "      <th>RNN_30</th>\n",
       "      <th>RNN_60</th>\n",
       "      <th>LSTM_15</th>\n",
       "      <th>LSTM_30</th>\n",
       "      <th>LSTM_60</th>\n",
       "      <th>SLSTM_15</th>\n",
       "      <th>SLSTM_30</th>\n",
       "      <th>SLSTM_60</th>\n",
       "      <th>BLSTM_15</th>\n",
       "      <th>BLSTM_30</th>\n",
       "      <th>BLSTM_60</th>\n",
       "      <th>GRU_15</th>\n",
       "      <th>GRU_30</th>\n",
       "      <th>GRU_60</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>VAL</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Sam_1</th>\n",
       "      <td>26.854633</td>\n",
       "      <td>40.024243</td>\n",
       "      <td>54.880226</td>\n",
       "      <td>26.402745</td>\n",
       "      <td>42.489192</td>\n",
       "      <td>53.649741</td>\n",
       "      <td>28.218610</td>\n",
       "      <td>42.877581</td>\n",
       "      <td>54.741967</td>\n",
       "      <td>27.301202</td>\n",
       "      <td>44.956751</td>\n",
       "      <td>53.442187</td>\n",
       "      <td>25.451551</td>\n",
       "      <td>39.291000</td>\n",
       "      <td>54.916565</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sam_3</th>\n",
       "      <td>8.176680</td>\n",
       "      <td>14.188218</td>\n",
       "      <td>30.674542</td>\n",
       "      <td>10.222731</td>\n",
       "      <td>15.608697</td>\n",
       "      <td>30.100113</td>\n",
       "      <td>8.942386</td>\n",
       "      <td>17.099501</td>\n",
       "      <td>39.160685</td>\n",
       "      <td>11.459472</td>\n",
       "      <td>12.869140</td>\n",
       "      <td>28.004707</td>\n",
       "      <td>6.889841</td>\n",
       "      <td>15.404279</td>\n",
       "      <td>26.442139</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sam_4</th>\n",
       "      <td>12.340954</td>\n",
       "      <td>20.623681</td>\n",
       "      <td>35.305947</td>\n",
       "      <td>12.293086</td>\n",
       "      <td>19.965777</td>\n",
       "      <td>35.661033</td>\n",
       "      <td>11.312514</td>\n",
       "      <td>19.155846</td>\n",
       "      <td>35.366440</td>\n",
       "      <td>14.418453</td>\n",
       "      <td>20.634770</td>\n",
       "      <td>35.805218</td>\n",
       "      <td>12.663463</td>\n",
       "      <td>20.990197</td>\n",
       "      <td>34.218215</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sam_5</th>\n",
       "      <td>11.707588</td>\n",
       "      <td>20.022594</td>\n",
       "      <td>32.652153</td>\n",
       "      <td>11.146695</td>\n",
       "      <td>19.687028</td>\n",
       "      <td>33.420012</td>\n",
       "      <td>11.509018</td>\n",
       "      <td>20.111474</td>\n",
       "      <td>32.487016</td>\n",
       "      <td>12.232214</td>\n",
       "      <td>20.042171</td>\n",
       "      <td>32.840073</td>\n",
       "      <td>11.185947</td>\n",
       "      <td>20.130129</td>\n",
       "      <td>32.400263</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sam_6</th>\n",
       "      <td>14.111294</td>\n",
       "      <td>26.244060</td>\n",
       "      <td>44.519175</td>\n",
       "      <td>14.215299</td>\n",
       "      <td>26.533982</td>\n",
       "      <td>49.231606</td>\n",
       "      <td>14.919136</td>\n",
       "      <td>33.222387</td>\n",
       "      <td>47.938151</td>\n",
       "      <td>13.250767</td>\n",
       "      <td>26.399817</td>\n",
       "      <td>46.175949</td>\n",
       "      <td>14.248623</td>\n",
       "      <td>27.890571</td>\n",
       "      <td>45.722750</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sam_7</th>\n",
       "      <td>8.384763</td>\n",
       "      <td>14.355303</td>\n",
       "      <td>23.223770</td>\n",
       "      <td>9.977287</td>\n",
       "      <td>14.342096</td>\n",
       "      <td>25.530988</td>\n",
       "      <td>8.581657</td>\n",
       "      <td>15.514722</td>\n",
       "      <td>24.632305</td>\n",
       "      <td>7.645493</td>\n",
       "      <td>15.099010</td>\n",
       "      <td>25.837860</td>\n",
       "      <td>7.595327</td>\n",
       "      <td>16.544641</td>\n",
       "      <td>25.996287</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sam_8</th>\n",
       "      <td>13.897451</td>\n",
       "      <td>24.091296</td>\n",
       "      <td>34.224933</td>\n",
       "      <td>14.924112</td>\n",
       "      <td>26.410374</td>\n",
       "      <td>35.091271</td>\n",
       "      <td>16.853572</td>\n",
       "      <td>26.020988</td>\n",
       "      <td>37.713173</td>\n",
       "      <td>15.952210</td>\n",
       "      <td>24.245990</td>\n",
       "      <td>38.071274</td>\n",
       "      <td>14.884393</td>\n",
       "      <td>24.055973</td>\n",
       "      <td>34.966995</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sam_9</th>\n",
       "      <td>5.386403</td>\n",
       "      <td>7.587962</td>\n",
       "      <td>11.454974</td>\n",
       "      <td>5.488566</td>\n",
       "      <td>8.671893</td>\n",
       "      <td>17.270071</td>\n",
       "      <td>6.329396</td>\n",
       "      <td>8.512041</td>\n",
       "      <td>11.254617</td>\n",
       "      <td>5.120001</td>\n",
       "      <td>9.541773</td>\n",
       "      <td>11.766248</td>\n",
       "      <td>5.720792</td>\n",
       "      <td>7.868143</td>\n",
       "      <td>12.752221</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sam_10</th>\n",
       "      <td>10.834386</td>\n",
       "      <td>18.447079</td>\n",
       "      <td>29.332332</td>\n",
       "      <td>10.609743</td>\n",
       "      <td>20.640648</td>\n",
       "      <td>30.419786</td>\n",
       "      <td>10.544008</td>\n",
       "      <td>16.618929</td>\n",
       "      <td>38.811752</td>\n",
       "      <td>9.970849</td>\n",
       "      <td>17.929647</td>\n",
       "      <td>26.274885</td>\n",
       "      <td>10.004007</td>\n",
       "      <td>16.400516</td>\n",
       "      <td>27.556773</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sam_11</th>\n",
       "      <td>15.322060</td>\n",
       "      <td>24.621324</td>\n",
       "      <td>34.659339</td>\n",
       "      <td>16.318498</td>\n",
       "      <td>25.351447</td>\n",
       "      <td>34.207552</td>\n",
       "      <td>16.355754</td>\n",
       "      <td>39.676459</td>\n",
       "      <td>54.272177</td>\n",
       "      <td>16.439759</td>\n",
       "      <td>24.863948</td>\n",
       "      <td>62.740926</td>\n",
       "      <td>16.114894</td>\n",
       "      <td>25.977643</td>\n",
       "      <td>37.257061</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sam_12</th>\n",
       "      <td>10.052484</td>\n",
       "      <td>19.366920</td>\n",
       "      <td>33.189111</td>\n",
       "      <td>9.941705</td>\n",
       "      <td>20.896921</td>\n",
       "      <td>34.707735</td>\n",
       "      <td>9.601831</td>\n",
       "      <td>18.773804</td>\n",
       "      <td>37.563062</td>\n",
       "      <td>11.074336</td>\n",
       "      <td>22.565829</td>\n",
       "      <td>36.592459</td>\n",
       "      <td>9.494971</td>\n",
       "      <td>19.672170</td>\n",
       "      <td>35.905216</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sam_13</th>\n",
       "      <td>9.357811</td>\n",
       "      <td>16.944636</td>\n",
       "      <td>28.363765</td>\n",
       "      <td>9.653801</td>\n",
       "      <td>16.577190</td>\n",
       "      <td>39.719427</td>\n",
       "      <td>9.640426</td>\n",
       "      <td>18.750276</td>\n",
       "      <td>39.600675</td>\n",
       "      <td>13.288670</td>\n",
       "      <td>20.611646</td>\n",
       "      <td>33.131553</td>\n",
       "      <td>11.318268</td>\n",
       "      <td>21.587944</td>\n",
       "      <td>35.358328</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sam_14</th>\n",
       "      <td>16.549968</td>\n",
       "      <td>26.395903</td>\n",
       "      <td>35.424613</td>\n",
       "      <td>16.968131</td>\n",
       "      <td>24.892058</td>\n",
       "      <td>35.354938</td>\n",
       "      <td>16.147312</td>\n",
       "      <td>26.347232</td>\n",
       "      <td>35.207807</td>\n",
       "      <td>15.652824</td>\n",
       "      <td>25.379066</td>\n",
       "      <td>33.960746</td>\n",
       "      <td>16.025946</td>\n",
       "      <td>24.931274</td>\n",
       "      <td>35.094933</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sam_15</th>\n",
       "      <td>9.669038</td>\n",
       "      <td>18.006609</td>\n",
       "      <td>29.739130</td>\n",
       "      <td>16.215036</td>\n",
       "      <td>25.265268</td>\n",
       "      <td>35.559528</td>\n",
       "      <td>16.101801</td>\n",
       "      <td>45.904517</td>\n",
       "      <td>43.299389</td>\n",
       "      <td>11.076687</td>\n",
       "      <td>24.692473</td>\n",
       "      <td>35.843237</td>\n",
       "      <td>11.075530</td>\n",
       "      <td>23.986651</td>\n",
       "      <td>33.238654</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sam_16</th>\n",
       "      <td>9.289498</td>\n",
       "      <td>15.083041</td>\n",
       "      <td>24.593289</td>\n",
       "      <td>10.122994</td>\n",
       "      <td>14.089682</td>\n",
       "      <td>23.060063</td>\n",
       "      <td>10.959092</td>\n",
       "      <td>13.802045</td>\n",
       "      <td>22.439890</td>\n",
       "      <td>10.641884</td>\n",
       "      <td>13.649335</td>\n",
       "      <td>24.076786</td>\n",
       "      <td>9.206109</td>\n",
       "      <td>14.818009</td>\n",
       "      <td>23.764603</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sam_17</th>\n",
       "      <td>18.685251</td>\n",
       "      <td>29.577463</td>\n",
       "      <td>43.452597</td>\n",
       "      <td>19.842609</td>\n",
       "      <td>29.931505</td>\n",
       "      <td>45.196361</td>\n",
       "      <td>19.665486</td>\n",
       "      <td>29.908628</td>\n",
       "      <td>47.236473</td>\n",
       "      <td>19.684149</td>\n",
       "      <td>30.805836</td>\n",
       "      <td>44.232608</td>\n",
       "      <td>18.413487</td>\n",
       "      <td>29.010941</td>\n",
       "      <td>43.607313</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sam_18</th>\n",
       "      <td>19.775816</td>\n",
       "      <td>34.865240</td>\n",
       "      <td>55.927668</td>\n",
       "      <td>18.651160</td>\n",
       "      <td>33.076482</td>\n",
       "      <td>54.215024</td>\n",
       "      <td>19.254511</td>\n",
       "      <td>33.939341</td>\n",
       "      <td>53.717259</td>\n",
       "      <td>19.298399</td>\n",
       "      <td>34.870155</td>\n",
       "      <td>54.046683</td>\n",
       "      <td>18.987483</td>\n",
       "      <td>32.376016</td>\n",
       "      <td>54.280152</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sam_19</th>\n",
       "      <td>11.246133</td>\n",
       "      <td>18.331196</td>\n",
       "      <td>28.289318</td>\n",
       "      <td>11.405261</td>\n",
       "      <td>16.895745</td>\n",
       "      <td>25.783301</td>\n",
       "      <td>10.583769</td>\n",
       "      <td>17.055220</td>\n",
       "      <td>26.046902</td>\n",
       "      <td>11.297284</td>\n",
       "      <td>16.575917</td>\n",
       "      <td>25.540061</td>\n",
       "      <td>11.300331</td>\n",
       "      <td>16.689062</td>\n",
       "      <td>26.284620</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>RMSE_MEAN</th>\n",
       "      <td>12.869012</td>\n",
       "      <td>21.598709</td>\n",
       "      <td>33.883716</td>\n",
       "      <td>13.577748</td>\n",
       "      <td>22.295888</td>\n",
       "      <td>35.454364</td>\n",
       "      <td>13.640015</td>\n",
       "      <td>24.627277</td>\n",
       "      <td>37.860541</td>\n",
       "      <td>13.655814</td>\n",
       "      <td>22.540737</td>\n",
       "      <td>36.021303</td>\n",
       "      <td>12.810053</td>\n",
       "      <td>22.090287</td>\n",
       "      <td>34.431283</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              RNN_15     RNN_30     RNN_60    LSTM_15    LSTM_30    LSTM_60  \\\n",
       "VAL                                                                           \n",
       "Sam_1      26.854633  40.024243  54.880226  26.402745  42.489192  53.649741   \n",
       "Sam_3       8.176680  14.188218  30.674542  10.222731  15.608697  30.100113   \n",
       "Sam_4      12.340954  20.623681  35.305947  12.293086  19.965777  35.661033   \n",
       "Sam_5      11.707588  20.022594  32.652153  11.146695  19.687028  33.420012   \n",
       "Sam_6      14.111294  26.244060  44.519175  14.215299  26.533982  49.231606   \n",
       "Sam_7       8.384763  14.355303  23.223770   9.977287  14.342096  25.530988   \n",
       "Sam_8      13.897451  24.091296  34.224933  14.924112  26.410374  35.091271   \n",
       "Sam_9       5.386403   7.587962  11.454974   5.488566   8.671893  17.270071   \n",
       "Sam_10     10.834386  18.447079  29.332332  10.609743  20.640648  30.419786   \n",
       "Sam_11     15.322060  24.621324  34.659339  16.318498  25.351447  34.207552   \n",
       "Sam_12     10.052484  19.366920  33.189111   9.941705  20.896921  34.707735   \n",
       "Sam_13      9.357811  16.944636  28.363765   9.653801  16.577190  39.719427   \n",
       "Sam_14     16.549968  26.395903  35.424613  16.968131  24.892058  35.354938   \n",
       "Sam_15      9.669038  18.006609  29.739130  16.215036  25.265268  35.559528   \n",
       "Sam_16      9.289498  15.083041  24.593289  10.122994  14.089682  23.060063   \n",
       "Sam_17     18.685251  29.577463  43.452597  19.842609  29.931505  45.196361   \n",
       "Sam_18     19.775816  34.865240  55.927668  18.651160  33.076482  54.215024   \n",
       "Sam_19     11.246133  18.331196  28.289318  11.405261  16.895745  25.783301   \n",
       "RMSE_MEAN  12.869012  21.598709  33.883716  13.577748  22.295888  35.454364   \n",
       "\n",
       "            SLSTM_15   SLSTM_30   SLSTM_60   BLSTM_15   BLSTM_30   BLSTM_60  \\\n",
       "VAL                                                                           \n",
       "Sam_1      28.218610  42.877581  54.741967  27.301202  44.956751  53.442187   \n",
       "Sam_3       8.942386  17.099501  39.160685  11.459472  12.869140  28.004707   \n",
       "Sam_4      11.312514  19.155846  35.366440  14.418453  20.634770  35.805218   \n",
       "Sam_5      11.509018  20.111474  32.487016  12.232214  20.042171  32.840073   \n",
       "Sam_6      14.919136  33.222387  47.938151  13.250767  26.399817  46.175949   \n",
       "Sam_7       8.581657  15.514722  24.632305   7.645493  15.099010  25.837860   \n",
       "Sam_8      16.853572  26.020988  37.713173  15.952210  24.245990  38.071274   \n",
       "Sam_9       6.329396   8.512041  11.254617   5.120001   9.541773  11.766248   \n",
       "Sam_10     10.544008  16.618929  38.811752   9.970849  17.929647  26.274885   \n",
       "Sam_11     16.355754  39.676459  54.272177  16.439759  24.863948  62.740926   \n",
       "Sam_12      9.601831  18.773804  37.563062  11.074336  22.565829  36.592459   \n",
       "Sam_13      9.640426  18.750276  39.600675  13.288670  20.611646  33.131553   \n",
       "Sam_14     16.147312  26.347232  35.207807  15.652824  25.379066  33.960746   \n",
       "Sam_15     16.101801  45.904517  43.299389  11.076687  24.692473  35.843237   \n",
       "Sam_16     10.959092  13.802045  22.439890  10.641884  13.649335  24.076786   \n",
       "Sam_17     19.665486  29.908628  47.236473  19.684149  30.805836  44.232608   \n",
       "Sam_18     19.254511  33.939341  53.717259  19.298399  34.870155  54.046683   \n",
       "Sam_19     10.583769  17.055220  26.046902  11.297284  16.575917  25.540061   \n",
       "RMSE_MEAN  13.640015  24.627277  37.860541  13.655814  22.540737  36.021303   \n",
       "\n",
       "              GRU_15     GRU_30     GRU_60  \n",
       "VAL                                         \n",
       "Sam_1      25.451551  39.291000  54.916565  \n",
       "Sam_3       6.889841  15.404279  26.442139  \n",
       "Sam_4      12.663463  20.990197  34.218215  \n",
       "Sam_5      11.185947  20.130129  32.400263  \n",
       "Sam_6      14.248623  27.890571  45.722750  \n",
       "Sam_7       7.595327  16.544641  25.996287  \n",
       "Sam_8      14.884393  24.055973  34.966995  \n",
       "Sam_9       5.720792   7.868143  12.752221  \n",
       "Sam_10     10.004007  16.400516  27.556773  \n",
       "Sam_11     16.114894  25.977643  37.257061  \n",
       "Sam_12      9.494971  19.672170  35.905216  \n",
       "Sam_13     11.318268  21.587944  35.358328  \n",
       "Sam_14     16.025946  24.931274  35.094933  \n",
       "Sam_15     11.075530  23.986651  33.238654  \n",
       "Sam_16      9.206109  14.818009  23.764603  \n",
       "Sam_17     18.413487  29.010941  43.607313  \n",
       "Sam_18     18.987483  32.376016  54.280152  \n",
       "Sam_19     11.300331  16.689062  26.284620  \n",
       "RMSE_MEAN  12.810053  22.090287  34.431283  "
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df1_val"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-01-19T19:11:53.193604Z",
     "start_time": "2021-01-19T19:11:53.178601Z"
    }
   },
   "outputs": [],
   "source": [
    "df1_val=df1_val.drop(['RMSE_MEAN'])\n",
    "df1_train=df1_train.drop(['RMSE_MEAN'])\n",
    "df2_val=df2_val.drop(['RMSE_MEAN'])\n",
    "df2_train=df2_train.drop(['RMSE_MEAN'])\n",
    "df3_val=df3_val.drop(['RMSE_MEAN'])\n",
    "df3_train=df3_train.drop(['RMSE_MEAN'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-01-19T19:11:53.209607Z",
     "start_time": "2021-01-19T19:11:53.194604Z"
    }
   },
   "outputs": [],
   "source": [
    "df1_val=df1_val.sort_values(by=['VAL'],axis=0,ascending=True)\n",
    "df1_val=df1_val.reset_index(drop=True)\n",
    "df1_train=df1_train.sort_values(by=['TRAIN'],axis=0,ascending=True)\n",
    "df1_train=df1_train.reset_index(drop=True)\n",
    "df2_val=df2_val.sort_values(by=['VAL'],axis=0,ascending=True)\n",
    "df2_val=df2_val.reset_index(drop=True)\n",
    "df2_train=df2_train.sort_values(by=['TRAIN'],axis=0,ascending=True)\n",
    "df2_train=df2_train.reset_index(drop=True)\n",
    "df3_val=df3_val.sort_values(by=['VAL'],axis=0,ascending=True)\n",
    "df3_val=df3_val.reset_index(drop=True)\n",
    "df3_train=df3_train.sort_values(by=['TRAIN'],axis=0,ascending=True)\n",
    "df3_train=df3_train.reset_index(drop=True)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-01-19T19:11:53.241614Z",
     "start_time": "2021-01-19T19:11:53.210607Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>RNN_15</th>\n",
       "      <th>RNN_30</th>\n",
       "      <th>RNN_60</th>\n",
       "      <th>LSTM_15</th>\n",
       "      <th>LSTM_30</th>\n",
       "      <th>LSTM_60</th>\n",
       "      <th>SLSTM_15</th>\n",
       "      <th>SLSTM_30</th>\n",
       "      <th>SLSTM_60</th>\n",
       "      <th>BLSTM_15</th>\n",
       "      <th>BLSTM_30</th>\n",
       "      <th>BLSTM_60</th>\n",
       "      <th>GRU_15</th>\n",
       "      <th>GRU_30</th>\n",
       "      <th>GRU_60</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>26.854633</td>\n",
       "      <td>40.024243</td>\n",
       "      <td>54.880226</td>\n",
       "      <td>26.402745</td>\n",
       "      <td>42.489192</td>\n",
       "      <td>53.649741</td>\n",
       "      <td>28.218610</td>\n",
       "      <td>42.877581</td>\n",
       "      <td>54.741967</td>\n",
       "      <td>27.301202</td>\n",
       "      <td>44.956751</td>\n",
       "      <td>53.442187</td>\n",
       "      <td>25.451551</td>\n",
       "      <td>39.291000</td>\n",
       "      <td>54.916565</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>10.834386</td>\n",
       "      <td>18.447079</td>\n",
       "      <td>29.332332</td>\n",
       "      <td>10.609743</td>\n",
       "      <td>20.640648</td>\n",
       "      <td>30.419786</td>\n",
       "      <td>10.544008</td>\n",
       "      <td>16.618929</td>\n",
       "      <td>38.811752</td>\n",
       "      <td>9.970849</td>\n",
       "      <td>17.929647</td>\n",
       "      <td>26.274885</td>\n",
       "      <td>10.004007</td>\n",
       "      <td>16.400516</td>\n",
       "      <td>27.556773</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>15.322060</td>\n",
       "      <td>24.621324</td>\n",
       "      <td>34.659339</td>\n",
       "      <td>16.318498</td>\n",
       "      <td>25.351447</td>\n",
       "      <td>34.207552</td>\n",
       "      <td>16.355754</td>\n",
       "      <td>39.676459</td>\n",
       "      <td>54.272177</td>\n",
       "      <td>16.439759</td>\n",
       "      <td>24.863948</td>\n",
       "      <td>62.740926</td>\n",
       "      <td>16.114894</td>\n",
       "      <td>25.977643</td>\n",
       "      <td>37.257061</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>10.052484</td>\n",
       "      <td>19.366920</td>\n",
       "      <td>33.189111</td>\n",
       "      <td>9.941705</td>\n",
       "      <td>20.896921</td>\n",
       "      <td>34.707735</td>\n",
       "      <td>9.601831</td>\n",
       "      <td>18.773804</td>\n",
       "      <td>37.563062</td>\n",
       "      <td>11.074336</td>\n",
       "      <td>22.565829</td>\n",
       "      <td>36.592459</td>\n",
       "      <td>9.494971</td>\n",
       "      <td>19.672170</td>\n",
       "      <td>35.905216</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>9.357811</td>\n",
       "      <td>16.944636</td>\n",
       "      <td>28.363765</td>\n",
       "      <td>9.653801</td>\n",
       "      <td>16.577190</td>\n",
       "      <td>39.719427</td>\n",
       "      <td>9.640426</td>\n",
       "      <td>18.750276</td>\n",
       "      <td>39.600675</td>\n",
       "      <td>13.288670</td>\n",
       "      <td>20.611646</td>\n",
       "      <td>33.131553</td>\n",
       "      <td>11.318268</td>\n",
       "      <td>21.587944</td>\n",
       "      <td>35.358328</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>16.549968</td>\n",
       "      <td>26.395903</td>\n",
       "      <td>35.424613</td>\n",
       "      <td>16.968131</td>\n",
       "      <td>24.892058</td>\n",
       "      <td>35.354938</td>\n",
       "      <td>16.147312</td>\n",
       "      <td>26.347232</td>\n",
       "      <td>35.207807</td>\n",
       "      <td>15.652824</td>\n",
       "      <td>25.379066</td>\n",
       "      <td>33.960746</td>\n",
       "      <td>16.025946</td>\n",
       "      <td>24.931274</td>\n",
       "      <td>35.094933</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>9.669038</td>\n",
       "      <td>18.006609</td>\n",
       "      <td>29.739130</td>\n",
       "      <td>16.215036</td>\n",
       "      <td>25.265268</td>\n",
       "      <td>35.559528</td>\n",
       "      <td>16.101801</td>\n",
       "      <td>45.904517</td>\n",
       "      <td>43.299389</td>\n",
       "      <td>11.076687</td>\n",
       "      <td>24.692473</td>\n",
       "      <td>35.843237</td>\n",
       "      <td>11.075530</td>\n",
       "      <td>23.986651</td>\n",
       "      <td>33.238654</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>9.289498</td>\n",
       "      <td>15.083041</td>\n",
       "      <td>24.593289</td>\n",
       "      <td>10.122994</td>\n",
       "      <td>14.089682</td>\n",
       "      <td>23.060063</td>\n",
       "      <td>10.959092</td>\n",
       "      <td>13.802045</td>\n",
       "      <td>22.439890</td>\n",
       "      <td>10.641884</td>\n",
       "      <td>13.649335</td>\n",
       "      <td>24.076786</td>\n",
       "      <td>9.206109</td>\n",
       "      <td>14.818009</td>\n",
       "      <td>23.764603</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>18.685251</td>\n",
       "      <td>29.577463</td>\n",
       "      <td>43.452597</td>\n",
       "      <td>19.842609</td>\n",
       "      <td>29.931505</td>\n",
       "      <td>45.196361</td>\n",
       "      <td>19.665486</td>\n",
       "      <td>29.908628</td>\n",
       "      <td>47.236473</td>\n",
       "      <td>19.684149</td>\n",
       "      <td>30.805836</td>\n",
       "      <td>44.232608</td>\n",
       "      <td>18.413487</td>\n",
       "      <td>29.010941</td>\n",
       "      <td>43.607313</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>19.775816</td>\n",
       "      <td>34.865240</td>\n",
       "      <td>55.927668</td>\n",
       "      <td>18.651160</td>\n",
       "      <td>33.076482</td>\n",
       "      <td>54.215024</td>\n",
       "      <td>19.254511</td>\n",
       "      <td>33.939341</td>\n",
       "      <td>53.717259</td>\n",
       "      <td>19.298399</td>\n",
       "      <td>34.870155</td>\n",
       "      <td>54.046683</td>\n",
       "      <td>18.987483</td>\n",
       "      <td>32.376016</td>\n",
       "      <td>54.280152</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>11.246133</td>\n",
       "      <td>18.331196</td>\n",
       "      <td>28.289318</td>\n",
       "      <td>11.405261</td>\n",
       "      <td>16.895745</td>\n",
       "      <td>25.783301</td>\n",
       "      <td>10.583769</td>\n",
       "      <td>17.055220</td>\n",
       "      <td>26.046902</td>\n",
       "      <td>11.297284</td>\n",
       "      <td>16.575917</td>\n",
       "      <td>25.540061</td>\n",
       "      <td>11.300331</td>\n",
       "      <td>16.689062</td>\n",
       "      <td>26.284620</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>8.176680</td>\n",
       "      <td>14.188218</td>\n",
       "      <td>30.674542</td>\n",
       "      <td>10.222731</td>\n",
       "      <td>15.608697</td>\n",
       "      <td>30.100113</td>\n",
       "      <td>8.942386</td>\n",
       "      <td>17.099501</td>\n",
       "      <td>39.160685</td>\n",
       "      <td>11.459472</td>\n",
       "      <td>12.869140</td>\n",
       "      <td>28.004707</td>\n",
       "      <td>6.889841</td>\n",
       "      <td>15.404279</td>\n",
       "      <td>26.442139</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>12.340954</td>\n",
       "      <td>20.623681</td>\n",
       "      <td>35.305947</td>\n",
       "      <td>12.293086</td>\n",
       "      <td>19.965777</td>\n",
       "      <td>35.661033</td>\n",
       "      <td>11.312514</td>\n",
       "      <td>19.155846</td>\n",
       "      <td>35.366440</td>\n",
       "      <td>14.418453</td>\n",
       "      <td>20.634770</td>\n",
       "      <td>35.805218</td>\n",
       "      <td>12.663463</td>\n",
       "      <td>20.990197</td>\n",
       "      <td>34.218215</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>11.707588</td>\n",
       "      <td>20.022594</td>\n",
       "      <td>32.652153</td>\n",
       "      <td>11.146695</td>\n",
       "      <td>19.687028</td>\n",
       "      <td>33.420012</td>\n",
       "      <td>11.509018</td>\n",
       "      <td>20.111474</td>\n",
       "      <td>32.487016</td>\n",
       "      <td>12.232214</td>\n",
       "      <td>20.042171</td>\n",
       "      <td>32.840073</td>\n",
       "      <td>11.185947</td>\n",
       "      <td>20.130129</td>\n",
       "      <td>32.400263</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>14.111294</td>\n",
       "      <td>26.244060</td>\n",
       "      <td>44.519175</td>\n",
       "      <td>14.215299</td>\n",
       "      <td>26.533982</td>\n",
       "      <td>49.231606</td>\n",
       "      <td>14.919136</td>\n",
       "      <td>33.222387</td>\n",
       "      <td>47.938151</td>\n",
       "      <td>13.250767</td>\n",
       "      <td>26.399817</td>\n",
       "      <td>46.175949</td>\n",
       "      <td>14.248623</td>\n",
       "      <td>27.890571</td>\n",
       "      <td>45.722750</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>8.384763</td>\n",
       "      <td>14.355303</td>\n",
       "      <td>23.223770</td>\n",
       "      <td>9.977287</td>\n",
       "      <td>14.342096</td>\n",
       "      <td>25.530988</td>\n",
       "      <td>8.581657</td>\n",
       "      <td>15.514722</td>\n",
       "      <td>24.632305</td>\n",
       "      <td>7.645493</td>\n",
       "      <td>15.099010</td>\n",
       "      <td>25.837860</td>\n",
       "      <td>7.595327</td>\n",
       "      <td>16.544641</td>\n",
       "      <td>25.996287</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>13.897451</td>\n",
       "      <td>24.091296</td>\n",
       "      <td>34.224933</td>\n",
       "      <td>14.924112</td>\n",
       "      <td>26.410374</td>\n",
       "      <td>35.091271</td>\n",
       "      <td>16.853572</td>\n",
       "      <td>26.020988</td>\n",
       "      <td>37.713173</td>\n",
       "      <td>15.952210</td>\n",
       "      <td>24.245990</td>\n",
       "      <td>38.071274</td>\n",
       "      <td>14.884393</td>\n",
       "      <td>24.055973</td>\n",
       "      <td>34.966995</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>5.386403</td>\n",
       "      <td>7.587962</td>\n",
       "      <td>11.454974</td>\n",
       "      <td>5.488566</td>\n",
       "      <td>8.671893</td>\n",
       "      <td>17.270071</td>\n",
       "      <td>6.329396</td>\n",
       "      <td>8.512041</td>\n",
       "      <td>11.254617</td>\n",
       "      <td>5.120001</td>\n",
       "      <td>9.541773</td>\n",
       "      <td>11.766248</td>\n",
       "      <td>5.720792</td>\n",
       "      <td>7.868143</td>\n",
       "      <td>12.752221</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       RNN_15     RNN_30     RNN_60    LSTM_15    LSTM_30    LSTM_60  \\\n",
       "0   26.854633  40.024243  54.880226  26.402745  42.489192  53.649741   \n",
       "1   10.834386  18.447079  29.332332  10.609743  20.640648  30.419786   \n",
       "2   15.322060  24.621324  34.659339  16.318498  25.351447  34.207552   \n",
       "3   10.052484  19.366920  33.189111   9.941705  20.896921  34.707735   \n",
       "4    9.357811  16.944636  28.363765   9.653801  16.577190  39.719427   \n",
       "5   16.549968  26.395903  35.424613  16.968131  24.892058  35.354938   \n",
       "6    9.669038  18.006609  29.739130  16.215036  25.265268  35.559528   \n",
       "7    9.289498  15.083041  24.593289  10.122994  14.089682  23.060063   \n",
       "8   18.685251  29.577463  43.452597  19.842609  29.931505  45.196361   \n",
       "9   19.775816  34.865240  55.927668  18.651160  33.076482  54.215024   \n",
       "10  11.246133  18.331196  28.289318  11.405261  16.895745  25.783301   \n",
       "11   8.176680  14.188218  30.674542  10.222731  15.608697  30.100113   \n",
       "12  12.340954  20.623681  35.305947  12.293086  19.965777  35.661033   \n",
       "13  11.707588  20.022594  32.652153  11.146695  19.687028  33.420012   \n",
       "14  14.111294  26.244060  44.519175  14.215299  26.533982  49.231606   \n",
       "15   8.384763  14.355303  23.223770   9.977287  14.342096  25.530988   \n",
       "16  13.897451  24.091296  34.224933  14.924112  26.410374  35.091271   \n",
       "17   5.386403   7.587962  11.454974   5.488566   8.671893  17.270071   \n",
       "\n",
       "     SLSTM_15   SLSTM_30   SLSTM_60   BLSTM_15   BLSTM_30   BLSTM_60  \\\n",
       "0   28.218610  42.877581  54.741967  27.301202  44.956751  53.442187   \n",
       "1   10.544008  16.618929  38.811752   9.970849  17.929647  26.274885   \n",
       "2   16.355754  39.676459  54.272177  16.439759  24.863948  62.740926   \n",
       "3    9.601831  18.773804  37.563062  11.074336  22.565829  36.592459   \n",
       "4    9.640426  18.750276  39.600675  13.288670  20.611646  33.131553   \n",
       "5   16.147312  26.347232  35.207807  15.652824  25.379066  33.960746   \n",
       "6   16.101801  45.904517  43.299389  11.076687  24.692473  35.843237   \n",
       "7   10.959092  13.802045  22.439890  10.641884  13.649335  24.076786   \n",
       "8   19.665486  29.908628  47.236473  19.684149  30.805836  44.232608   \n",
       "9   19.254511  33.939341  53.717259  19.298399  34.870155  54.046683   \n",
       "10  10.583769  17.055220  26.046902  11.297284  16.575917  25.540061   \n",
       "11   8.942386  17.099501  39.160685  11.459472  12.869140  28.004707   \n",
       "12  11.312514  19.155846  35.366440  14.418453  20.634770  35.805218   \n",
       "13  11.509018  20.111474  32.487016  12.232214  20.042171  32.840073   \n",
       "14  14.919136  33.222387  47.938151  13.250767  26.399817  46.175949   \n",
       "15   8.581657  15.514722  24.632305   7.645493  15.099010  25.837860   \n",
       "16  16.853572  26.020988  37.713173  15.952210  24.245990  38.071274   \n",
       "17   6.329396   8.512041  11.254617   5.120001   9.541773  11.766248   \n",
       "\n",
       "       GRU_15     GRU_30     GRU_60  \n",
       "0   25.451551  39.291000  54.916565  \n",
       "1   10.004007  16.400516  27.556773  \n",
       "2   16.114894  25.977643  37.257061  \n",
       "3    9.494971  19.672170  35.905216  \n",
       "4   11.318268  21.587944  35.358328  \n",
       "5   16.025946  24.931274  35.094933  \n",
       "6   11.075530  23.986651  33.238654  \n",
       "7    9.206109  14.818009  23.764603  \n",
       "8   18.413487  29.010941  43.607313  \n",
       "9   18.987483  32.376016  54.280152  \n",
       "10  11.300331  16.689062  26.284620  \n",
       "11   6.889841  15.404279  26.442139  \n",
       "12  12.663463  20.990197  34.218215  \n",
       "13  11.185947  20.130129  32.400263  \n",
       "14  14.248623  27.890571  45.722750  \n",
       "15   7.595327  16.544641  25.996287  \n",
       "16  14.884393  24.055973  34.966995  \n",
       "17   5.720792   7.868143  12.752221  "
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df1_val"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## RNN"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-01-19T19:11:53.257618Z",
     "start_time": "2021-01-19T19:11:53.242615Z"
    }
   },
   "outputs": [],
   "source": [
    "# RNN\n",
    "#val_RNN15 = pd.concat(df1_val['RNN_15'],df2_val['RNN_15'],df3_val['RNN_15'])\n",
    "val_RNN15 = pd.concat([df1_val['RNN_15'],df2_val['RNN_15'],df3_val['RNN_15']],axis=1)\n",
    "val_RNN15.columns=['Uni','Mul_value','Mul_0_1']\n",
    "train_RNN15 = pd.concat([df1_train['RNN_15'],df2_train['RNN_15'],df3_train['RNN_15']],axis=1)\n",
    "train_RNN15.columns=['Uni','Mul_value','Mul_0_1']\n",
    "val_RNN30 = pd.concat([df1_val['RNN_30'],df2_val['RNN_30'],df3_val['RNN_30']],axis=1)\n",
    "val_RNN30.columns=['Uni','Mul_value','Mul_0_1']\n",
    "train_RNN30 = pd.concat([df1_train['RNN_30'],df2_train['RNN_30'],df3_train['RNN_30']],axis=1)\n",
    "train_RNN30.columns=['Uni','Mul_value','Mul_0_1']\n",
    "val_RNN60 = pd.concat([df1_val['RNN_60'],df2_val['RNN_60'],df3_val['RNN_60']],axis=1)\n",
    "val_RNN60.columns=['Uni','Mul_value','Mul_0_1']\n",
    "train_RNN60 = pd.concat([df1_train['RNN_60'],df2_train['RNN_60'],df3_train['RNN_60']],axis=1)\n",
    "train_RNN60.columns=['Uni','Mul_value','Mul_0_1']\n",
    "#sns.boxplot(y=df2_val['RNN_15'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-01-19T19:11:53.272622Z",
     "start_time": "2021-01-19T19:11:53.258618Z"
    }
   },
   "outputs": [],
   "source": [
    "#val_RNN15=val_RNN15.rename({'RNN_15':'val_1','RNN_15':'val_2','RNN_15':'val_3'},axis='columns')\n",
    "#val_RNN15.columns=['Uni','Mul_value','Mul_0_1']\n",
    "#val_RNN30.columns=['Uni','Mul_value','Mul_0_1']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-01-19T19:11:53.288625Z",
     "start_time": "2021-01-19T19:11:53.273622Z"
    }
   },
   "outputs": [],
   "source": [
    "#val_RNN15"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-01-19T19:11:53.432657Z",
     "start_time": "2021-01-19T19:11:53.289625Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, '< RNN_15_VAL >')"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x648 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(12,9))\n",
    "sns.boxplot(data=val_RNN15,palette=\"Set3\")\n",
    "plt.title('< RNN_15_VAL >',family='Times New Roman')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-01-19T19:11:53.575820Z",
     "start_time": "2021-01-19T19:11:53.433658Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, '< RNN_15_TRAIN >')"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x648 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(12,9))\n",
    "sns.boxplot(data=train_RNN15,palette=\"Set3\")\n",
    "plt.title('< RNN_15_TRAIN >',family='Times New Roman')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-01-19T19:11:53.717773Z",
     "start_time": "2021-01-19T19:11:53.576821Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, '< RNN_30_VAL >')"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x648 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(12,9))\n",
    "sns.boxplot(data=val_RNN30,palette=\"Set3\")\n",
    "plt.title('< RNN_30_VAL >',family='Times New Roman')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-01-19T19:11:53.859805Z",
     "start_time": "2021-01-19T19:11:53.718775Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, '< RNN_30_TRAIN >')"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x648 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(12,9))\n",
    "sns.boxplot(data=train_RNN30,palette=\"Set3\")\n",
    "plt.title('< RNN_30_TRAIN >',family='Times New Roman')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-01-19T19:11:53.986834Z",
     "start_time": "2021-01-19T19:11:53.860806Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, '< RNN_60_VAL >')"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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ZCACADkRA0OrmzJmTxsbGJEljY2PmzJlT4YkAAGgtAoJWN3DgwHTq1ClJ0qlTpwwcOLDCEwEA0FoEBK1uyJAhqaqqSpJUVVXlwAMPrPBEAAC0FgFBq+vWrVtqampSVVWVmpqadO3atdIjAQDQSjpXegA6piFDhmTp0qXOPgAAdDBVdXV1TZUeAgAA2DC4hAkAACgmIAAAgGICgjaxfPnyTJgwwbdQAwB0MAKCNjF9+vQsXLjQt1ADAHQwAoJWt3z58syePTtNTU2ZPXu2sxAAAB2IgKDVTZ8+PU1N//twr6amJmchAAA6EAFBq5szZ04aGxuTJI2NjZkzZ06FJwIAoLUICFrdwIED06lTpyRJp06dMnDgwApPBABAaxEQtLohQ4akqqoqSVJVVeXbqAEAOhABQavr1q1bampqUlVVlZqamnTt2rXSIwEA0Eo6V3oAOqYhQ4Zk6dKlzj4AAHQwVXV1dU2VHgIAANgwuIQJAAAoJiAAAIBiAgIAACgmIAAAgGICAgAAKCYgAACAYgICAAAoJiAAAIBiAgIAACgmIAAAgGICAgAAKCYgAACAYgICAAAoJiAAAIBiAgIAACgmIAAAgGICAgAAKCYgAACAYgICAAAoJiAAAIBiAgIAACgmIAAAgGICAgAAKCYgAACAYgICAIB1Wr58eSZMmJD6+vpKj0I7ISAAAFin6dOnZ+HChbn//vsrPQrthIAAAGCtli9fntmzZ6epqSmzZ892FoIkAgIAgHWYPn16mpqakiRNTU3OQpBEQAAAsA5z5sxJY2NjkqSxsTFz5syp8ES0BwICAIC1GjhwYDp16pQk6dSpUwYOHFjhiWgPBAQAAGs1ZMiQVFVVJUmqqqpy4IEHVngi2gMBAQDAWnXr1i01NTWpqqpKTU1NunbtWumRaAc6V3oAAADaryFDhmTp0qXOPtCsqq6urqnSQwAAABsGlzABAADFBAQAAFBMQAAAAMUEBAAAUExAAAAAxQQEAABQTEAAAADFBAQAAFBMQAAAAMWKAmLYsGH58Ic/nB122CE77LBD9tlnn+Z1M2fOzODBg7Pddttl+PDhWbRoUZsNCwAAVFbxGYgf/OAHWbJkSZYsWZJHH300SbJs2bKccMIJGT16dBYsWJBBgwZl5MiRbTYsAABQWe/pEqapU6emX79+OeKII7LZZpvl3HPPzdy5czNv3rzWmg8AAGhHOpduOGbMmHz3u99Nnz59csEFF2T//fdPbW1tBgwY0LxNdXV1evXqldra2vTt23etx5k/f/57nxoAAGgzffr0Wee6ooAYM2ZMdtttt2yyySa5/fbbc9xxx+XBBx9MQ0NDevTosdq23bp1y4oVK1o0DAAA0L4VXcK0zz77pGvXrtl0001z/PHH55//+Z9z3333pbq6OvX19attW19fny5durTJsAAAQGW16B6IqqqqNDU1pX///pk7d27z8oaGhixYsCD9+/dvtQEBAID2410Doq6uLr/97W+zcuXKrFq1KrfddlsefvjhHHTQQRk+fHhqa2szZcqUrFy5MuPGjcsee+yxzvsfAACADVtVXV1d0ztt8NJLL+ULX/hC5s+fn4022ih9+/bN6NGjM2TIkCTJjBkzMmrUqCxevDg1NTW59tpr07Nnz/dleAAA4P31rgEBAADwlvf0PRAAAMAHi4AAAACKCQgAAKCYgAAAAIoJCAAAoJiAAAAAigkIAACgmIAAAACKCQgAAKCYgAAAAIoJCAAAoJiAAAAAigkIAACgmIAAAACKCQgAAKCYgAAAAIoJCAAAoJiAAAAAigkIAACgmIAAAACKCQgAAKCYgAAAAIoJCAAAoJiAAAAAigkIAACgmIAAAACKCQgAAKCYgAAAAIoJCAAAoJiAAAAAigkIAACgmIAAAACKCQgAAKCYgAAAAIoJCAAAoJiAAAAAigkIAACgmIAAAACKCQgAAKCYgAAAAIoJCAAAoJiAAAAAigkIAACgmIAAAACKCQgAAKCYgAAAAIoJCAAAoJiAAAAAigkIAACgmIAAAACKda70AKzp/PPPr/QIvM3YsWMrPQIAQLvhDAQAAFBMQAAAAMUEBAAAUKyqrq6uqdJD0LH84z0c7iEAAOg4nIEAAACKeQoTAEAb8WTF9sVVEa3DGQgAAKCYgAAAAIoJCAAAoJh7IAAA2siGfs29JyuyNs5AAAAAxQQEAABQTEAAAADFBAQAAFBMQAAAAMUEBAAAUExAAAAAxQQEAABQTEAAAADFBAQAAFBMQAAAAMUEBAAAUExAAAAAxQQEAABQTEAAAADFBAQAAFBMQAAAAMUEBAAAUExAAAAAxQQEAABQTEAAAADFBAQAAFBMQAAAAMUEBAAAUExAAAAAxQQEAABQTEAAAADFBAQAAFBMQAAAAMUEBAAAUExAAAAAxQQEAABQTEAAAADFBAQAAFBMQAAAAMUEBAAAUGy9AuKpp57Khz/84Zx88snNy2bOnJnBgwdnu+22y/Dhw7No0aJWHxIAAGgf1isgzj777Oy9997Nr5ctW5YTTjgho0ePzoIFCzJo0KCMHDmy1YcEAADah+KAuP3227PlllvmU5/6VPOyqVOnpl+/fjniiCOy2Wab5dxzz83cuXMzb968NhkWAACorM4lGy1fvjxjx47NlClT8vOf/7x5eW1tbQYMGND8urq6Or169UptbW369u271mPNnz//PY7MhsbvOQB0DP6d/sHRp0+fda4rCojvfe97OeGEE7LjjjuutryhoSE9evRYbVm3bt2yYsWKFg1Dx+T3HAA6Bv9OJykIiMceeywzZ87MAw88sMa66urq1NfXr7asvr4+Xbp0ab0JAQCAduNdA+Khhx7KokWLmi9VamhoSGNjY/76179m5MiRufnmm5u3bWhoyIIFC9K/f/+2mxgAAKiYdw2IE088MUcddVTz6/Hjx2fRokW54oorkiQXXXRRpkyZkkMPPTTjxo3LHnvssc77HwAAgA3buwbEFltskS222KL5dXV1dTbbbLPmex9uvPHGjBo1KqecckpqamoyceLEtpsWAACoqKKbqN/uvPPOW+31AQcckEceeaTVBgIAANqv9foiOQAA4INNQAAAAMUEBAAAUExAAAAAxQQEAABQTEAAAADFBAQAAFBMQAAAAMUEBAAAUExAAAAAxQQEAABQTEAAAADFBAQAAFBMQAAAAMUEBAAAUExAAAAAxQQEAABQTEAAAADFBAQAAFBMQAAAAMUEBAAAUExAAAAAxQQEAABQTEAAAADFBAQAAFBMQAAAAMUEBAAAUExAAAAAxQQEAABQTEAAAADFBAQAAFBMQAAAAMUEBAAAUExAAAAAxQQEAABQTEAAAADFBAQAAFBMQAAAAMUEBAAAUExAAAAAxQQEAABQrHOlB2gN559/fqVH4B34/Wlfxo4dW+kRAIANmDMQAABAMQEBAAAU6xCXMAFsiFze1764vK998Llo3/z+tD+V+LOrQwbEgBOPqfQI0G7MveHWSo8AAHQgLmECAACKCQgAAKBYh7yECWBDsKFfc/+P10Jv6D8P7dMxI86o9AjQrtw6+UeVHsEZCAAAoJyAAAAAigkIAACgmIAAAACKCQgAAKCYgAAAAIp5jCuwwfjHx4bSvvj9aV88VhdoK85AAAAAxQQEAABQTEAAAADF3AMBbLAuv/zzlR4B2o2zz/5VpUcAPiCcgQAAAIoJCAAAoJiAAAAAigkIAACgmIAAAACKCQgAAKCYx7gCGyyPrQSA91+HDIi5N9xa6REAAKBDcgkTAABQTEAAAADFOuQlTMAHw+WXf77SI0C74Z4g4P3SIQNiwInHVHoEaDfcEwQAtCaXMAEAAMUEBAAAUExAAAAAxQQEAABQTEAAAADFBAQAAFBMQAAAAMUEBAAAUExAAAAAxQQEAABQTEAAAADFBAQAAFBMQAAAAMUEBAAAUKxzpQcAAFiXWyf/qNIjAP9AQAAbrLPP/lWlRwCADxyXMAEAAMUEBAAAUMwlTABAu3XMiDMqPQK0K+3hviABAWwwxo4dW+kReJvzzz9/tdd+fwA+GFzCBAAAFBMQAABAMQEBAAAUExAAAEAxAQEAABQrCoiTTz45u+22W3baaafU1NTkxhtvbF43c+bMDB48ONttt12GDx+eRYsWtdmwAABAZRUFxJlnnpnHHnssixcvzs0335xLL700c+bMybJly3LCCSdk9OjRWbBgQQYNGpSRI0e29cwAAECFFH0PRP/+/Zv/d1VVVaqqqrJgwYLMmTMn/fr1yxFHHJEkOffcc9O7d+/Mmzcvffv2bZuJAQCAiin+Irlvf/vbmTRpUl577bV89KMfzSGHHJJLLrkkAwYMaN6muro6vXr1Sm1t7ToDYv78+e99aqDFfAZpK/6/BfD+a6s/e/v06bPOdcUB8cMf/jDjxo3LH/7whzz00EPZdNNN09DQkB49eqy2Xbdu3bJixYoWDQO0PZ9B2or/bwG8/yrxZ+96PYWpU6dO+cQnPpHnnnsuEydOTHV1derr61fbpr6+Pl26dGnVIQEAgPahRY9xXbVqVRYsWJD+/ftn7ty5zcsbGhqalwMAAB3PuwbEiy++mNtvvz0rVqxIY2Njfvvb3+b222/Ppz71qQwfPjy1tbWZMmVKVq5cmXHjxmWPPfZwAzUAAHRQ73oPRFVVVSZOnJgzzzwzTU1N2WmnnXLZZZdl2LBhSZIbb7wxo0aNyimnnJKamppMnDixzYcGAAAq410DokePHrnnnnvWuf6AAw7II4880qpDAQAA7VOL7oEAAAA+mIof4wpA6zr//PMrPUKr2tB/nrFjx1Z6BIANgjMQAABAMQEBAAAUExAAAEAx90AAVIhr7gHYEHXIgJh7w62VHgEAADoklzABAADFOuQZCACgY7h18o8qPQLwD5yBAAAAinWIMxBuRGxf/vHLpPz+AAB0HM5AAAAAxTrEGQgAoGNw1rp9cVUBa+MMBAAAUExAAAAAxQQEAABQTEAAAADFBAQAAFBMQAAAAMUEBAAAUExAAAAAxQQEAABQTEAAAADFBAQAAFBMQAAAAMUEBAAAUExAAAAAxQQEAABQTEAAAADFBAQAAFBMQAAAAMUEBAAAUExAAAAAxQQEAABQTEAAAADFBAQAAFBMQAAAAMUEBAAAUExAAAAAxQQEAABQTEAAAADFBAQAAFBMQAAAAMUEBAAAUExAAAAAxQQEAABQTEAAAADFBAQAAFBMQAAAAMUEBAAAUKxzpQcAAOiozj///EqP0Ko29J9n7NixlR6hQ3AGAgAAKCYgAACAYgICAAAo5h4IAIA24pp7OiJnIAAAgGICAgAAKCYgAACAYgICAAAoJiAAAIBiAgIAACgmIAAAgGICAgAAKCYgAACAYlV1dXVNlR6C1Z1//vmVHoG38S2iAAD/xxkIAACgmIAAAACKCQgAAKCYeyAAAIBizkAAAADFBAQAAFBMQAAAAMUEBAAAUExAAAAAxQQEAABQTEAAAADFBAQAAFBMQAAAAMUEBAAAUExAAAAAxQQEAABQTEAAAADFBAQAAFBMQAAAAMUEBAAAUExAAAAAxQQEAABQTEAAAADFBAQAAFBMQAAAAMUEBAAAUExAAAAAxQQEAABQTEAAAADFBAQAAFBMQAAAAMUEBAAAUExAAAAAxd41IF5//fWcccYZGTBgQHbcccfsv//+mTZtWvP6mTNnZvDgwdluu+0yfPjwLFq0qE0HBgAAKuddA2LVqlXZYYcdcvfdd2fRokUZPXp0TjrppCxcuDDLli3LCSeckNGjR2fBggUZNGhQRo4c+X7MDQAAVEBVXV1d0/rutO++++Y73/lOXn755UyaNCn33XdfkqShoSG9e/fOAw88kL59+7b6sAAAQGV1Xt8dXnjhhTz11FPp379/Jk6cmAEDBjSvq66uTq9evVJbW7vOgJg/f37LpwUAANpcnz591rluvQLijTfeyFe/+tUcd9xx6du3bxoaGtKjR4/VtunWrVtWrFjRomEAAID2rfgpTG+++WZOOeWUbLLJJvnBD36Q5H/PONTX16+2XX19fbp06dK6UwIAAO1CUUA0NTXljDPOyAsvvJAbb7wxG2+8cZKkf//+mTt3bvN2DQ0NWbBgQfr3798205UOIpwAAAtDSURBVAIAABVVFBBnnXVW5s2bl1tuuSWbb7558/Lhw4entrY2U6ZMycqVKzNu3LjssccebqAGAIAO6l2fwrRo0aJ89KMfzaabbprOnf/vlokrr7wyRx99dGbMmJFRo0Zl8eLFqampybXXXpuePXu2+eAAAMD7r0WPcQUAAD6Yim+iBgAAEBAAAEAxAQEAABQTEAAAQDEBAQAAFBMQAABAMQEBAAAUExAAAEAxAQEAABQTEAAAQDEBAQAAFBMQAABAMQEBAAAUExAAAEAxAQEAABQTEAAAQDEBAQAAFBMQAABAMQEBAAAUExAAAEAxAQEAABQTEAAAQDEBAQAAFBMQAABAMQEBAAAUExAAAEAxAQEAABQTEAAAQDEBAQAAFBMQAABAMQEBAAAUExAAAEAxAQEAABQTEAAAQDEBAQAAFBMQAABAMQEBAAAUExAAAEAxAQEAABQTEAAAQDEBAQAAFBMQAABAMQEBAAAUExAAAEAxAQEAABQTEAAAQDEBAQAAFBMQAABAMQEBAAAUExAAAEAxAQEAABQTEAAAQDEBAQAAFBMQAABAMQEBAAAUExAAAEAxAQEAABQTEAAAQDEBAQAAFBMQAABAMQEBAAAUExAAAEAxAQEAABQTEAAAQDEBAQAAFBMQAABAMQEBAAAUExAAAEAxAQEAABQTEAAAQDEBAQAAFBMQAABAMQEBAAAUExAAAEAxAQEAABQTEAAAQDEBAQAAFBMQAABAMQEBAAAUExAAAEAxAUGbWL58eSZMmJD6+vpKjwIAQCsSELSJ6dOnZ+HChbn//vsrPQoAAK1IQNDqli9fntmzZ6epqSmzZ892FgIAoAMRELS66dOnp6mpKUnS1NTkLAQAQAciIGh1c+bMSWNjY5KksbExc+bMqfBEAAC0FgFBqxs4cGA6deqUJOnUqVMGDhxY4YkAAGgtAoJWN2TIkFRVVSVJqqqqcuCBB1Z4IgAAWouAoNV169YtNTU1qaqqSk1NTbp27VrpkQAAaCWdKz0AHdOQIUOydOlSZx8AADqYqrq6uqZKDwEAAGwYXMIEAAAUExAAAEAxAQEAABQTEAAAQDEBAQAAFBMQAABAMQEBAAAUKwqICRMm5IADDsg//dM/5bTTTltt3cyZMzN48OBst912GT58eBYtWtQmgwIAAJVXFBDbbrttzj777HzpS19abfmyZctywgknZPTo0VmwYEEGDRqUkSNHtsmgAABA5RUFxOGHH57hw4dnq622Wm351KlT069fvxxxxBHZbLPNcu6552bu3LmZN29emwwLAABUVuf3snNtbW0GDBjQ/Lq6ujq9evVKbW1t+vbtu9Z95s+f/17eEgAAaGN9+vRZ57r3FBANDQ3p0aPHasu6deuWFStWtGgYAACgfXtPT2Gqrq5OfX39asvq6+vTpUuX9zQUAADQPr2ngOjfv3/mzp3b/LqhoSELFixI//793/NgAABA+1MUEKtWrcrKlSvT2NiYxsbGrFy5MqtWrcrw4cNTW1ubKVOmZOXKlRk3blz22GOPdd7/AAAAbNiq6urqmt5to8suuyz/9m//ttqy73znOznvvPMyY8aMjBo1KosXL05NTU2uvfba9OzZs80GBgAAKqcoIAAAAJL3eA8EAADwwSIgAACAYgICAAAoJiAAAIBiAgIAACgmIAAAgGICgoo488wzM27cuEqPAQDAehIQtEj37t3z9NNPr7bssssuy8knn1y0/5VXXplzzjmnLUYD3qO1fb43pOMDLefzSQkBAdCB7Lnnntlmm22ybNmy1ZZ/8pOfTPfu3bNw4cIKTQa0tffr89/U1JSLL744vXr1Sq9evXLRRRelqendv5f40ksvzb777putt946l112WavMQmUICNrEgw8+mN133z3jx4/Prrvumt122y033XRT8/rTTjstl156aQUnhI6rZ8+emTx5cvPr//7v/87KlSsrOBHwfnk/Pv833HBD7r777jz00EOZNWtW7r333vz0pz991/0+8pGPZMyYMRk6dGirzsP7T0DQZpYuXZrly5entrY248ePz6hRo1JXV1fpsaDDO+aYY3LLLbc0v7755ptz7LHHNr8eNmxYbrzxxubXv/jFL/KZz3ym+PiPPPJI+vbtm8bGxuZlU6dOzb777pskmT17dg455JDsvPPO2W233TJq1Kj8/e9/X+ux3m2WefPm5Ygjjsguu+ySffbZJ3fccUfxnPBB1Naf/7eOecYZZ2SHHXbI9ttvn9NPPz2TJk161/2OP/74HHLIIenatet6vR/tj4CgzWy88cb5zne+k4033jhDhw5NdXV15s+fX+mxoMMbPHhw6uvr88QTT6SxsTF33HFHjj766FY9/hZbbJEHHnigednkyZPzhS98IUnSqVOnjB07Nk8//XTuu+++zJw5M9dff/16v09DQ0OOPPLIjBgxIk8++WSuv/76fPvb305tbW2r/SzQ0bT15z9J/vrXv2bAgAHNr/fcc8/89a9/bdX3oH0TELRIp06d8sYbb6y2bNWqVencuXPz66222mq115tvvnkaGhretxnhg+yt/wo5ffr09OnTJ9tvv32rHn/EiBHNl0nU19dn2rRpOeqoo5IkAwcOzODBg9O5c+f07NkzJ554YmbNmrXe73Hvvfdm5513zpe+9KV07tw5AwcOzOGHH54pU6a06s8CHU1bf/5XrFiRbt26Nb/u1q1bVqxYUXQfBB1D53ffBNa04447ZtGiRdltt92aly1cuDC9e/eu4FTAW4455ph89rOfzcKFC1e7fKG1jBgxIkOHDs0VV1yRqVOnZq+99srOO++cJHnyySczevTo/OlPf8prr72WVatWZeDAgev9HosXL86jjz7afNwkaWxszDHHHNNqPwd0RG39+e/SpUvq6+ubX9fX16dLly6pqqpq9feifXIGghb5/Oc/n8svvzxLlizJm2++mRkzZuQ3v/lNPve5z1V6NCDJzjvvnJ49e2batGn5l3/5l9XWVVdX59VXX21+/cILL6z38fv165eddtop06ZNy+TJkzNixIjmdWeddVb69OmT2bNnZ/HixbnwwgvX+V8m32mWHXbYIfvtt18WLVrU/M+SJUtyxRVXrPe88EHyfnz+586d2/z68ccfT79+/Vo+MBscAUGLnHPOOfnYxz6Wz3zmM9lll11y0UUXZcKECdl9990rPRrw//3oRz/Kr3/961RXV6+2fM8998zUqVPz6quv5umnn87Pf/7zFh3/C1/4Qq677ro8/PDDOeKII5qXr1ixIl27dk2XLl0yb968/OQnP1nnMd5plkMPPTRPPvlkbrnllrzxxht544038sc//jFPPPFEi+aFD5K2/Pwfe+yxueaaa/Lcc8/l+eefzzXXXJPjjz/+Xfd74403snLlyrz55ptpbGzMypUrV3sYAxsOAUGLbL755rnkkkvy+OOPZ9GiRXnggQfy2c9+tnn9/vvvn7/85S+r7fP444/ngAMOSJL8x3/8Ry644IL3c2T4wOnVq1cGDRq0xvKvfe1r2WSTTdK3b9+cdtppzTc/r6+jjjoqDz30UD71qU9l6623bl5+ySWXZPLkydlxxx3zzW9+M0ceeeQ6j/FOs3Tt2jV33HFHfvWrX6Vfv37p27dvLr744rz++ustmhc+SNry83/SSSflM5/5TPbdd9984hOfyNChQ3PSSSe9637f+MY3su2222by5Mm5/PLLs+222672xCg2HFV1dXXueAEAAIo4AwEAABTzFCYA1urjH/94Fi9evMbyK6+8stWfKw+0Ly35/D/88MPrvCRqyZIlrTofleUSJgAAoJhLmAAAgGICAgAAKCYgAACAYgICAAAo9v8AtdHUnXV/tRUAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 864x648 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(12,9))\n",
    "sns.boxplot(data=val_RNN60,palette=\"Set3\")\n",
    "plt.title('< RNN_60_VAL >',family='Times New Roman')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-01-19T19:11:54.130911Z",
     "start_time": "2021-01-19T19:11:53.987834Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, '< RNN_60_TRAIN >')"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x648 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(12,9))\n",
    "sns.boxplot(data=train_RNN60,palette=\"Set3\")\n",
    "plt.title('< RNN_60_TRAIN >',family='Times New Roman')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## LSTM"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-01-19T19:11:54.145881Z",
     "start_time": "2021-01-19T19:11:54.131878Z"
    }
   },
   "outputs": [],
   "source": [
    "val_LSTM15 = pd.concat([df1_val['LSTM_15'],df2_val['LSTM_15'],df3_val['LSTM_15']],axis=1)\n",
    "val_LSTM15.columns=['Uni','Mul_value','Mul_0_1']\n",
    "train_LSTM15 = pd.concat([df1_train['LSTM_15'],df2_train['LSTM_15'],df3_train['LSTM_15']],axis=1)\n",
    "train_LSTM15.columns=['Uni','Mul_value','Mul_0_1']\n",
    "val_LSTM30 = pd.concat([df1_val['LSTM_30'],df2_val['LSTM_30'],df3_val['LSTM_30']],axis=1)\n",
    "val_LSTM30.columns=['Uni','Mul_value','Mul_0_1']\n",
    "train_LSTM30 = pd.concat([df1_train['LSTM_30'],df2_train['LSTM_30'],df3_train['LSTM_30']],axis=1)\n",
    "train_LSTM30.columns=['Uni','Mul_value','Mul_0_1']\n",
    "val_LSTM60 = pd.concat([df1_val['LSTM_60'],df2_val['LSTM_60'],df3_val['LSTM_60']],axis=1)\n",
    "val_LSTM60.columns=['Uni','Mul_value','Mul_0_1']\n",
    "train_LSTM60 = pd.concat([df1_train['LSTM_60'],df2_train['LSTM_60'],df3_train['LSTM_60']],axis=1)\n",
    "train_LSTM60.columns=['Uni','Mul_value','Mul_0_1']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-01-19T19:11:54.287782Z",
     "start_time": "2021-01-19T19:11:54.146882Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, '< LSTM_15_VAL >')"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x648 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(12,9))\n",
    "sns.boxplot(data=val_LSTM15,palette=\"Set3\")\n",
    "plt.title('< LSTM_15_VAL >',family='Times New Roman')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-01-19T19:11:54.428062Z",
     "start_time": "2021-01-19T19:11:54.289783Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, '< LSTM_15_TRAIN >')"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x648 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(12,9))\n",
    "sns.boxplot(data=train_LSTM15,palette=\"Set3\")\n",
    "plt.title('< LSTM_15_TRAIN >',family='Times New Roman')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-01-19T19:11:54.568810Z",
     "start_time": "2021-01-19T19:11:54.431064Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, '< LSTM_30_VAL >')"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x648 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(12,9))\n",
    "sns.boxplot(data=val_LSTM30,palette=\"Set3\")\n",
    "plt.title('< LSTM_30_VAL >',family='Times New Roman')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-01-19T19:11:54.710844Z",
     "start_time": "2021-01-19T19:11:54.569811Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, '< LSTM_30_TRAIN >')"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x648 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(12,9))\n",
    "sns.boxplot(data=train_LSTM30,palette=\"Set3\")\n",
    "plt.title('< LSTM_30_TRAIN >',family='Times New Roman')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-01-19T19:11:54.886818Z",
     "start_time": "2021-01-19T19:11:54.712045Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, '< LSTM_60_VAL >')"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x648 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(12,9))\n",
    "sns.boxplot(data=val_LSTM60,palette=\"Set3\")\n",
    "plt.title('< LSTM_60_VAL >',family='Times New Roman')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-01-19T19:11:55.014851Z",
     "start_time": "2021-01-19T19:11:54.887819Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, '< LSTM_60_TRAIN >')"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x648 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(12,9))\n",
    "sns.boxplot(data=train_LSTM60,palette=\"Set3\")\n",
    "plt.title('< LSTM_60_TRAIN >',family='Times New Roman')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Stacked LSTM"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-01-19T19:11:55.030855Z",
     "start_time": "2021-01-19T19:11:55.015852Z"
    }
   },
   "outputs": [],
   "source": [
    "val_SLSTM15 = pd.concat([df1_val['SLSTM_15'],df2_val['SLSTM_15'],df3_val['SLSTM_15']],axis=1)\n",
    "val_SLSTM15.columns=['Uni','Mul_value','Mul_0_1']\n",
    "train_SLSTM15 = pd.concat([df1_train['SLSTM_15'],df2_train['SLSTM_15'],df3_train['SLSTM_15']],axis=1)\n",
    "train_SLSTM15.columns=['Uni','Mul_value','Mul_0_1']\n",
    "val_SLSTM30 = pd.concat([df1_val['SLSTM_30'],df2_val['SLSTM_30'],df3_val['SLSTM_30']],axis=1)\n",
    "val_SLSTM30.columns=['Uni','Mul_value','Mul_0_1']\n",
    "train_SLSTM30 = pd.concat([df1_train['SLSTM_30'],df2_train['SLSTM_30'],df3_train['SLSTM_30']],axis=1)\n",
    "train_SLSTM30.columns=['Uni','Mul_value','Mul_0_1']\n",
    "val_SLSTM60 = pd.concat([df1_val['SLSTM_60'],df2_val['SLSTM_60'],df3_val['SLSTM_60']],axis=1)\n",
    "val_SLSTM60.columns=['Uni','Mul_value','Mul_0_1']\n",
    "train_SLSTM60 = pd.concat([df1_train['SLSTM_60'],df2_train['SLSTM_60'],df3_train['SLSTM_60']],axis=1)\n",
    "train_SLSTM60.columns=['Uni','Mul_value','Mul_0_1']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-01-19T19:11:55.173886Z",
     "start_time": "2021-01-19T19:11:55.031856Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, '< Stacked LSTM_15_VAL >')"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x648 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(12,9))\n",
    "sns.boxplot(data=val_SLSTM15,palette=\"Set3\")\n",
    "plt.title('< Stacked LSTM_15_VAL >',family='Times New Roman')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-01-19T19:11:55.314920Z",
     "start_time": "2021-01-19T19:11:55.174887Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, '< Stacked LSTM_15_TRAIN >')"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x648 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(12,9))\n",
    "sns.boxplot(data=train_SLSTM15,palette=\"Set3\")\n",
    "plt.title('< Stacked LSTM_15_TRAIN >',family='Times New Roman')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-01-19T19:11:55.457952Z",
     "start_time": "2021-01-19T19:11:55.315920Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, '< Stacked LSTM_30_VAL >')"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x648 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(12,9))\n",
    "sns.boxplot(data=val_SLSTM30,palette=\"Set3\")\n",
    "plt.title('< Stacked LSTM_30_VAL >',family='Times New Roman')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-01-19T19:11:55.602028Z",
     "start_time": "2021-01-19T19:11:55.458952Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, '< Stacked LSTM_30_TRAIN >')"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x648 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(12,9))\n",
    "sns.boxplot(data=train_SLSTM30,palette=\"Set3\")\n",
    "plt.title('< Stacked LSTM_30_TRAIN >',family='Times New Roman')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-01-19T19:11:55.730057Z",
     "start_time": "2021-01-19T19:11:55.603028Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, '< Stacked LSTM_60_VAL >')"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x648 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(12,9))\n",
    "sns.boxplot(data=val_SLSTM60,palette=\"Set3\")\n",
    "plt.title('< Stacked LSTM_60_VAL >',family='Times New Roman')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-01-19T19:11:55.873852Z",
     "start_time": "2021-01-19T19:11:55.731058Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, '< Stacked LSTM_60_TRAIN >')"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x648 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(12,9))\n",
    "sns.boxplot(data=train_SLSTM60,palette=\"Set3\")\n",
    "plt.title('< Stacked LSTM_60_TRAIN >',family='Times New Roman')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Bidirectional LSTM"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-01-19T19:11:55.889855Z",
     "start_time": "2021-01-19T19:11:55.874852Z"
    }
   },
   "outputs": [],
   "source": [
    "val_BLSTM15 = pd.concat([df1_val['BLSTM_15'],df2_val['BLSTM_15'],df3_val['BLSTM_15']],axis=1)\n",
    "val_BLSTM15.columns=['Uni','Mul_value','Mul_0_1']\n",
    "train_BLSTM15 = pd.concat([df1_train['BLSTM_15'],df2_train['BLSTM_15'],df3_train['BLSTM_15']],axis=1)\n",
    "train_BLSTM15.columns=['Uni','Mul_value','Mul_0_1']\n",
    "val_BLSTM30 = pd.concat([df1_val['BLSTM_30'],df2_val['BLSTM_30'],df3_val['BLSTM_30']],axis=1)\n",
    "val_BLSTM30.columns=['Uni','Mul_value','Mul_0_1']\n",
    "train_BLSTM30 = pd.concat([df1_train['BLSTM_30'],df2_train['BLSTM_30'],df3_train['BLSTM_30']],axis=1)\n",
    "train_BLSTM30.columns=['Uni','Mul_value','Mul_0_1']\n",
    "val_BLSTM60 = pd.concat([df1_val['BLSTM_60'],df2_val['BLSTM_60'],df3_val['BLSTM_60']],axis=1)\n",
    "val_BLSTM60.columns=['Uni','Mul_value','Mul_0_1']\n",
    "train_BLSTM60 = pd.concat([df1_train['BLSTM_60'],df2_train['BLSTM_60'],df3_train['BLSTM_60']],axis=1)\n",
    "train_BLSTM60.columns=['Uni','Mul_value','Mul_0_1']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-01-19T19:11:56.032887Z",
     "start_time": "2021-01-19T19:11:55.890855Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, '< Bidirectional LSTM_15_VAL >')"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x648 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(12,9))\n",
    "sns.boxplot(data=val_BLSTM15,palette=\"Set3\")\n",
    "plt.title('< Bidirectional LSTM_15_VAL >',family='Times New Roman')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-01-19T19:11:56.174832Z",
     "start_time": "2021-01-19T19:11:56.033888Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, '< Bidirectional LSTM_15_TRAIN >')"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x648 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(12,9))\n",
    "sns.boxplot(data=train_BLSTM15,palette=\"Set3\")\n",
    "plt.title('< Bidirectional LSTM_15_TRAIN >',family='Times New Roman')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-01-19T19:11:56.315532Z",
     "start_time": "2021-01-19T19:11:56.175832Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, '< Bidirectional LSTM_30_VAL >')"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x648 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(12,9))\n",
    "sns.boxplot(data=val_BLSTM30,palette=\"Set3\")\n",
    "plt.title('< Bidirectional LSTM_30_VAL >',family='Times New Roman')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-01-19T19:11:56.503879Z",
     "start_time": "2021-01-19T19:11:56.316533Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, '< Bidirectional LSTM_30_TRAIN >')"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x648 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(12,9))\n",
    "sns.boxplot(data=train_BLSTM30,palette=\"Set3\")\n",
    "plt.title('< Bidirectional LSTM_30_TRAIN >',family='Times New Roman')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-01-19T19:11:56.646497Z",
     "start_time": "2021-01-19T19:11:56.504879Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, '< Bidirectional LSTM_60_VAL >')"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x648 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(12,9))\n",
    "sns.boxplot(data=val_BLSTM60,palette=\"Set3\")\n",
    "plt.title('< Bidirectional LSTM_60_VAL >',family='Times New Roman')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-01-19T19:11:56.789068Z",
     "start_time": "2021-01-19T19:11:56.647497Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, '< Bidirectional LSTM_60_TRAIN >')"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x648 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(12,9))\n",
    "sns.boxplot(data=train_BLSTM60,palette=\"Set3\")\n",
    "plt.title('< Bidirectional LSTM_60_TRAIN >',family='Times New Roman')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## GRU"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-01-19T19:11:56.805071Z",
     "start_time": "2021-01-19T19:11:56.790069Z"
    }
   },
   "outputs": [],
   "source": [
    "val_GRU15 = pd.concat([df1_val['GRU_15'],df2_val['GRU_15'],df3_val['GRU_15']],axis=1)\n",
    "val_GRU15.columns=['Uni','Mul_value','Mul_0_1']\n",
    "train_GRU15 = pd.concat([df1_train['GRU_15'],df2_train['GRU_15'],df3_train['GRU_15']],axis=1)\n",
    "train_GRU15.columns=['Uni','Mul_value','Mul_0_1']\n",
    "val_GRU30 = pd.concat([df1_val['GRU_30'],df2_val['GRU_30'],df3_val['GRU_30']],axis=1)\n",
    "val_GRU30.columns=['Uni','Mul_value','Mul_0_1']\n",
    "train_GRU30 = pd.concat([df1_train['GRU_30'],df2_train['GRU_30'],df3_train['GRU_30']],axis=1)\n",
    "train_GRU30.columns=['Uni','Mul_value','Mul_0_1']\n",
    "val_GRU60 = pd.concat([df1_val['GRU_60'],df2_val['GRU_60'],df3_val['GRU_60']],axis=1)\n",
    "val_GRU60.columns=['Uni','Mul_value','Mul_0_1']\n",
    "train_GRU60 = pd.concat([df1_train['GRU_60'],df2_train['GRU_60'],df3_train['GRU_60']],axis=1)\n",
    "train_GRU60.columns=['Uni','Mul_value','Mul_0_1']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-01-19T19:11:56.946811Z",
     "start_time": "2021-01-19T19:11:56.806072Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, '< GRU_15_VAL >')"
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x648 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(12,9))\n",
    "sns.boxplot(data=val_GRU15,palette=\"Set3\")\n",
    "plt.title('< GRU_15_VAL >',family='Times New Roman')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-01-19T19:11:57.088842Z",
     "start_time": "2021-01-19T19:11:56.947810Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, '< GRU_15_TRAIN >')"
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x648 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(12,9))\n",
    "sns.boxplot(data=train_GRU15,palette=\"Set3\")\n",
    "plt.title('< GRU_15_TRAIN >',family='Times New Roman')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-01-19T19:11:57.230874Z",
     "start_time": "2021-01-19T19:11:57.089843Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, '< GRU_30_VAL >')"
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x648 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(12,9))\n",
    "sns.boxplot(data=val_GRU30,palette=\"Set3\")\n",
    "plt.title('< GRU_30_VAL >',family='Times New Roman')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-01-19T19:11:57.371791Z",
     "start_time": "2021-01-19T19:11:57.231874Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, '< GRU_30_TRAIN >')"
      ]
     },
     "execution_count": 45,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x648 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(12,9))\n",
    "sns.boxplot(data=train_GRU30,palette=\"Set3\")\n",
    "plt.title('< GRU_30_TRAIN >',family='Times New Roman')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-01-19T19:11:57.499819Z",
     "start_time": "2021-01-19T19:11:57.372791Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, '< GRU_60_VAL >')"
      ]
     },
     "execution_count": 46,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x648 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(12,9))\n",
    "sns.boxplot(data=val_GRU60,palette=\"Set3\")\n",
    "plt.title('< GRU_60_VAL >',family='Times New Roman')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-01-19T19:24:00.465152Z",
     "start_time": "2021-01-19T19:24:00.323151Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, '< GRU_60_TRAIN >')"
      ]
     },
     "execution_count": 47,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x648 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(12,9))\n",
    "sns.boxplot(data=train_GRU60,palette=\"Set3\")\n",
    "plt.title('< GRU_60_TRAIN >',family='Times New Roman')"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.1"
  },
  "toc": {
   "base_numbering": 1,
   "nav_menu": {},
   "number_sections": true,
   "sideBar": true,
   "skip_h1_title": false,
   "title_cell": "Table of Contents",
   "title_sidebar": "Contents",
   "toc_cell": false,
   "toc_position": {
    "height": "calc(100% - 180px)",
    "left": "10px",
    "top": "150px",
    "width": "384px"
   },
   "toc_section_display": true,
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