main.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "pd.set_option(\"display.max_columns\", None)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "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",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>tBodyAcc-Mean-1</th>\n",
       "      <th>tBodyAcc-Mean-2</th>\n",
       "      <th>tBodyAcc-Mean-3</th>\n",
       "      <th>tBodyAcc-STD-1</th>\n",
       "      <th>tBodyAcc-STD-2</th>\n",
       "      <th>tBodyAcc-STD-3</th>\n",
       "      <th>tBodyAcc-Mad-1</th>\n",
       "      <th>tBodyAcc-Mad-2</th>\n",
       "      <th>tBodyAcc-Mad-3</th>\n",
       "      <th>tBodyAcc-Max-1</th>\n",
       "      <th>tBodyAcc-Max-2</th>\n",
       "      <th>tBodyAcc-Max-3</th>\n",
       "      <th>tBodyAcc-Min-1</th>\n",
       "      <th>tBodyAcc-Min-2</th>\n",
       "      <th>tBodyAcc-Min-3</th>\n",
       "      <th>tBodyAcc-SMA-1</th>\n",
       "      <th>tBodyAcc-Energy-1</th>\n",
       "      <th>tBodyAcc-Energy-2</th>\n",
       "      <th>tBodyAcc-Energy-3</th>\n",
       "      <th>tBodyAcc-IQR-1</th>\n",
       "      <th>tBodyAcc-IQR-2</th>\n",
       "      <th>tBodyAcc-IQR-3</th>\n",
       "      <th>tBodyAcc-ropy-1</th>\n",
       "      <th>tBodyAcc-ropy-2</th>\n",
       "      <th>tBodyAcc-ropy-3</th>\n",
       "      <th>tBodyAcc-ARCoeff-1</th>\n",
       "      <th>tBodyAcc-ARCoeff-2</th>\n",
       "      <th>tBodyAcc-ARCoeff-3</th>\n",
       "      <th>tBodyAcc-ARCoeff-4</th>\n",
       "      <th>tBodyAcc-ARCoeff-5</th>\n",
       "      <th>tBodyAcc-ARCoeff-6</th>\n",
       "      <th>tBodyAcc-ARCoeff-7</th>\n",
       "      <th>tBodyAcc-ARCoeff-8</th>\n",
       "      <th>tBodyAcc-ARCoeff-9</th>\n",
       "      <th>tBodyAcc-ARCoeff-10</th>\n",
       "      <th>tBodyAcc-ARCoeff-11</th>\n",
       "      <th>tBodyAcc-ARCoeff-12</th>\n",
       "      <th>tBodyAcc-Correlation-1</th>\n",
       "      <th>tBodyAcc-Correlation-2</th>\n",
       "      <th>tBodyAcc-Correlation-3</th>\n",
       "      <th>tGravityAcc-Mean-1</th>\n",
       "      <th>tGravityAcc-Mean-2</th>\n",
       "      <th>tGravityAcc-Mean-3</th>\n",
       "      <th>tGravityAcc-STD-1</th>\n",
       "      <th>tGravityAcc-STD-2</th>\n",
       "      <th>tGravityAcc-STD-3</th>\n",
       "      <th>tGravityAcc-Mad-1</th>\n",
       "      <th>tGravityAcc-Mad-2</th>\n",
       "      <th>tGravityAcc-Mad-3</th>\n",
       "      <th>tGravityAcc-Max-1</th>\n",
       "      <th>tGravityAcc-Max-2</th>\n",
       "      <th>tGravityAcc-Max-3</th>\n",
       "      <th>tGravityAcc-Min-1</th>\n",
       "      <th>tGravityAcc-Min-2</th>\n",
       "      <th>tGravityAcc-Min-3</th>\n",
       "      <th>tGravityAcc-SMA-1</th>\n",
       "      <th>tGravityAcc-Energy-1</th>\n",
       "      <th>tGravityAcc-Energy-2</th>\n",
       "      <th>tGravityAcc-Energy-3</th>\n",
       "      <th>tGravityAcc-IQR-1</th>\n",
       "      <th>tGravityAcc-IQR-2</th>\n",
       "      <th>tGravityAcc-IQR-3</th>\n",
       "      <th>tGravityAcc-ropy-1</th>\n",
       "      <th>tGravityAcc-ropy-2</th>\n",
       "      <th>tGravityAcc-ropy-3</th>\n",
       "      <th>tGravityAcc-ARCoeff-1</th>\n",
       "      <th>tGravityAcc-ARCoeff-2</th>\n",
       "      <th>tGravityAcc-ARCoeff-3</th>\n",
       "      <th>tGravityAcc-ARCoeff-4</th>\n",
       "      <th>tGravityAcc-ARCoeff-5</th>\n",
       "      <th>tGravityAcc-ARCoeff-6</th>\n",
       "      <th>tGravityAcc-ARCoeff-7</th>\n",
       "      <th>tGravityAcc-ARCoeff-8</th>\n",
       "      <th>tGravityAcc-ARCoeff-9</th>\n",
       "      <th>tGravityAcc-ARCoeff-10</th>\n",
       "      <th>tGravityAcc-ARCoeff-11</th>\n",
       "      <th>tGravityAcc-ARCoeff-12</th>\n",
       "      <th>tGravityAcc-Correlation-1</th>\n",
       "      <th>tGravityAcc-Correlation-2</th>\n",
       "      <th>tGravityAcc-Correlation-3</th>\n",
       "      <th>tBodyAccJerk-Mean-1</th>\n",
       "      <th>tBodyAccJerk-Mean-2</th>\n",
       "      <th>tBodyAccJerk-Mean-3</th>\n",
       "      <th>tBodyAccJerk-STD-1</th>\n",
       "      <th>tBodyAccJerk-STD-2</th>\n",
       "      <th>tBodyAccJerk-STD-3</th>\n",
       "      <th>tBodyAccJerk-Mad-1</th>\n",
       "      <th>tBodyAccJerk-Mad-2</th>\n",
       "      <th>tBodyAccJerk-Mad-3</th>\n",
       "      <th>tBodyAccJerk-Max-1</th>\n",
       "      <th>tBodyAccJerk-Max-2</th>\n",
       "      <th>tBodyAccJerk-Max-3</th>\n",
       "      <th>tBodyAccJerk-Min-1</th>\n",
       "      <th>tBodyAccJerk-Min-2</th>\n",
       "      <th>tBodyAccJerk-Min-3</th>\n",
       "      <th>tBodyAccJerk-SMA-1</th>\n",
       "      <th>tBodyAccJerk-Energy-1</th>\n",
       "      <th>tBodyAccJerk-Energy-2</th>\n",
       "      <th>tBodyAccJerk-Energy-3</th>\n",
       "      <th>tBodyAccJerk-IQR-1</th>\n",
       "      <th>tBodyAccJerk-IQR-2</th>\n",
       "      <th>tBodyAccJerk-IQR-3</th>\n",
       "      <th>tBodyAccJerk-ropy-1</th>\n",
       "      <th>tBodyAccJerk-ropy-2</th>\n",
       "      <th>tBodyAccJerk-ropy-3</th>\n",
       "      <th>tBodyAccJerk-ARCoeff-1</th>\n",
       "      <th>tBodyAccJerk-ARCoeff-2</th>\n",
       "      <th>tBodyAccJerk-ARCoeff-3</th>\n",
       "      <th>tBodyAccJerk-ARCoeff-4</th>\n",
       "      <th>tBodyAccJerk-ARCoeff-5</th>\n",
       "      <th>tBodyAccJerk-ARCoeff-6</th>\n",
       "      <th>tBodyAccJerk-ARCoeff-7</th>\n",
       "      <th>tBodyAccJerk-ARCoeff-8</th>\n",
       "      <th>tBodyAccJerk-ARCoeff-9</th>\n",
       "      <th>tBodyAccJerk-ARCoeff-10</th>\n",
       "      <th>tBodyAccJerk-ARCoeff-11</th>\n",
       "      <th>tBodyAccJerk-ARCoeff-12</th>\n",
       "      <th>tBodyAccJerk-Correlation-1</th>\n",
       "      <th>tBodyAccJerk-Correlation-2</th>\n",
       "      <th>tBodyAccJerk-Correlation-3</th>\n",
       "      <th>tBodyGyro-Mean-1</th>\n",
       "      <th>tBodyGyro-Mean-2</th>\n",
       "      <th>tBodyGyro-Mean-3</th>\n",
       "      <th>tBodyGyro-STD-1</th>\n",
       "      <th>tBodyGyro-STD-2</th>\n",
       "      <th>tBodyGyro-STD-3</th>\n",
       "      <th>tBodyGyro-Mad-1</th>\n",
       "      <th>tBodyGyro-Mad-2</th>\n",
       "      <th>tBodyGyro-Mad-3</th>\n",
       "      <th>tBodyGyro-Max-1</th>\n",
       "      <th>tBodyGyro-Max-2</th>\n",
       "      <th>tBodyGyro-Max-3</th>\n",
       "      <th>tBodyGyro-Min-1</th>\n",
       "      <th>tBodyGyro-Min-2</th>\n",
       "      <th>tBodyGyro-Min-3</th>\n",
       "      <th>tBodyGyro-SMA-1</th>\n",
       "      <th>tBodyGyro-Energy-1</th>\n",
       "      <th>tBodyGyro-Energy-2</th>\n",
       "      <th>tBodyGyro-Energy-3</th>\n",
       "      <th>tBodyGyro-IQR-1</th>\n",
       "      <th>tBodyGyro-IQR-2</th>\n",
       "      <th>tBodyGyro-IQR-3</th>\n",
       "      <th>tBodyGyro-ropy-1</th>\n",
       "      <th>tBodyGyro-ropy-2</th>\n",
       "      <th>tBodyGyro-ropy-3</th>\n",
       "      <th>tBodyGyro-ARCoeff-1</th>\n",
       "      <th>tBodyGyro-ARCoeff-2</th>\n",
       "      <th>tBodyGyro-ARCoeff-3</th>\n",
       "      <th>tBodyGyro-ARCoeff-4</th>\n",
       "      <th>tBodyGyro-ARCoeff-5</th>\n",
       "      <th>tBodyGyro-ARCoeff-6</th>\n",
       "      <th>tBodyGyro-ARCoeff-7</th>\n",
       "      <th>tBodyGyro-ARCoeff-8</th>\n",
       "      <th>tBodyGyro-ARCoeff-9</th>\n",
       "      <th>tBodyGyro-ARCoeff-10</th>\n",
       "      <th>tBodyGyro-ARCoeff-11</th>\n",
       "      <th>tBodyGyro-ARCoeff-12</th>\n",
       "      <th>tBodyGyro-Correlation-1</th>\n",
       "      <th>tBodyGyro-Correlation-2</th>\n",
       "      <th>tBodyGyro-Correlation-3</th>\n",
       "      <th>tBodyGyroJerk-Mean-1</th>\n",
       "      <th>tBodyGyroJerk-Mean-2</th>\n",
       "      <th>tBodyGyroJerk-Mean-3</th>\n",
       "      <th>tBodyGyroJerk-STD-1</th>\n",
       "      <th>tBodyGyroJerk-STD-2</th>\n",
       "      <th>tBodyGyroJerk-STD-3</th>\n",
       "      <th>tBodyGyroJerk-Mad-1</th>\n",
       "      <th>tBodyGyroJerk-Mad-2</th>\n",
       "      <th>tBodyGyroJerk-Mad-3</th>\n",
       "      <th>tBodyGyroJerk-Max-1</th>\n",
       "      <th>tBodyGyroJerk-Max-2</th>\n",
       "      <th>tBodyGyroJerk-Max-3</th>\n",
       "      <th>tBodyGyroJerk-Min-1</th>\n",
       "      <th>tBodyGyroJerk-Min-2</th>\n",
       "      <th>tBodyGyroJerk-Min-3</th>\n",
       "      <th>tBodyGyroJerk-SMA-1</th>\n",
       "      <th>tBodyGyroJerk-Energy-1</th>\n",
       "      <th>tBodyGyroJerk-Energy-2</th>\n",
       "      <th>tBodyGyroJerk-Energy-3</th>\n",
       "      <th>tBodyGyroJerk-IQR-1</th>\n",
       "      <th>tBodyGyroJerk-IQR-2</th>\n",
       "      <th>tBodyGyroJerk-IQR-3</th>\n",
       "      <th>tBodyGyroJerk-ropy-1</th>\n",
       "      <th>tBodyGyroJerk-ropy-2</th>\n",
       "      <th>tBodyGyroJerk-ropy-3</th>\n",
       "      <th>tBodyGyroJerk-ARCoeff-1</th>\n",
       "      <th>tBodyGyroJerk-ARCoeff-2</th>\n",
       "      <th>tBodyGyroJerk-ARCoeff-3</th>\n",
       "      <th>tBodyGyroJerk-ARCoeff-4</th>\n",
       "      <th>tBodyGyroJerk-ARCoeff-5</th>\n",
       "      <th>tBodyGyroJerk-ARCoeff-6</th>\n",
       "      <th>tBodyGyroJerk-ARCoeff-7</th>\n",
       "      <th>tBodyGyroJerk-ARCoeff-8</th>\n",
       "      <th>tBodyGyroJerk-ARCoeff-9</th>\n",
       "      <th>tBodyGyroJerk-ARCoeff-10</th>\n",
       "      <th>tBodyGyroJerk-ARCoeff-11</th>\n",
       "      <th>tBodyGyroJerk-ARCoeff-12</th>\n",
       "      <th>tBodyGyroJerk-Correlation-1</th>\n",
       "      <th>tBodyGyroJerk-Correlation-2</th>\n",
       "      <th>tBodyGyroJerk-Correlation-3</th>\n",
       "      <th>tBodyAccMag-Mean-1</th>\n",
       "      <th>tBodyAccMag-STD-1</th>\n",
       "      <th>tBodyAccMag-Mad-1</th>\n",
       "      <th>tBodyAccMag-Max-1</th>\n",
       "      <th>tBodyAccMag-Min-1</th>\n",
       "      <th>tBodyAccMag-SMA-1</th>\n",
       "      <th>tBodyAccMag-Energy-1</th>\n",
       "      <th>tBodyAccMag-IQR-1</th>\n",
       "      <th>tBodyAccMag-ropy-1</th>\n",
       "      <th>tBodyAccMag-ARCoeff-1</th>\n",
       "      <th>tBodyAccMag-ARCoeff-2</th>\n",
       "      <th>tBodyAccMag-ARCoeff-3</th>\n",
       "      <th>tBodyAccMag-ARCoeff-4</th>\n",
       "      <th>tGravityAccMag-Mean-1</th>\n",
       "      <th>tGravityAccMag-STD-1</th>\n",
       "      <th>tGravityAccMag-Mad-1</th>\n",
       "      <th>tGravityAccMag-Max-1</th>\n",
       "      <th>tGravityAccMag-Min-1</th>\n",
       "      <th>tGravityAccMag-SMA-1</th>\n",
       "      <th>tGravityAccMag-Energy-1</th>\n",
       "      <th>tGravityAccMag-IQR-1</th>\n",
       "      <th>tGravityAccMag-ropy-1</th>\n",
       "      <th>tGravityAccMag-ARCoeff-1</th>\n",
       "      <th>tGravityAccMag-ARCoeff-2</th>\n",
       "      <th>tGravityAccMag-ARCoeff-3</th>\n",
       "      <th>tGravityAccMag-ARCoeff-4</th>\n",
       "      <th>tBodyAccJerkMag-Mean-1</th>\n",
       "      <th>tBodyAccJerkMag-STD-1</th>\n",
       "      <th>tBodyAccJerkMag-Mad-1</th>\n",
       "      <th>tBodyAccJerkMag-Max-1</th>\n",
       "      <th>tBodyAccJerkMag-Min-1</th>\n",
       "      <th>tBodyAccJerkMag-SMA-1</th>\n",
       "      <th>tBodyAccJerkMag-Energy-1</th>\n",
       "      <th>tBodyAccJerkMag-IQR-1</th>\n",
       "      <th>tBodyAccJerkMag-ropy-1</th>\n",
       "      <th>tBodyAccJerkMag-ARCoeff-1</th>\n",
       "      <th>tBodyAccJerkMag-ARCoeff-2</th>\n",
       "      <th>tBodyAccJerkMag-ARCoeff-3</th>\n",
       "      <th>tBodyAccJerkMag-ARCoeff-4</th>\n",
       "      <th>tBodyGyroMag-Mean-1</th>\n",
       "      <th>tBodyGyroMag-STD-1</th>\n",
       "      <th>tBodyGyroMag-Mad-1</th>\n",
       "      <th>tBodyGyroMag-Max-1</th>\n",
       "      <th>tBodyGyroMag-Min-1</th>\n",
       "      <th>tBodyGyroMag-SMA-1</th>\n",
       "      <th>tBodyGyroMag-Energy-1</th>\n",
       "      <th>tBodyGyroMag-IQR-1</th>\n",
       "      <th>tBodyGyroMag-ropy-1</th>\n",
       "      <th>tBodyGyroMag-ARCoeff-1</th>\n",
       "      <th>tBodyGyroMag-ARCoeff-2</th>\n",
       "      <th>tBodyGyroMag-ARCoeff-3</th>\n",
       "      <th>tBodyGyroMag-ARCoeff-4</th>\n",
       "      <th>tBodyGyroJerkMag-Mean-1</th>\n",
       "      <th>tBodyGyroJerkMag-STD-1</th>\n",
       "      <th>tBodyGyroJerkMag-Mad-1</th>\n",
       "      <th>tBodyGyroJerkMag-Max-1</th>\n",
       "      <th>tBodyGyroJerkMag-Min-1</th>\n",
       "      <th>tBodyGyroJerkMag-SMA-1</th>\n",
       "      <th>tBodyGyroJerkMag-Energy-1</th>\n",
       "      <th>tBodyGyroJerkMag-IQR-1</th>\n",
       "      <th>tBodyGyroJerkMag-ropy-1</th>\n",
       "      <th>tBodyGyroJerkMag-ARCoeff-1</th>\n",
       "      <th>tBodyGyroJerkMag-ARCoeff-2</th>\n",
       "      <th>tBodyGyroJerkMag-ARCoeff-3</th>\n",
       "      <th>tBodyGyroJerkMag-ARCoeff-4</th>\n",
       "      <th>fBodyAcc-Mean-1</th>\n",
       "      <th>fBodyAcc-Mean-2</th>\n",
       "      <th>fBodyAcc-Mean-3</th>\n",
       "      <th>fBodyAcc-STD-1</th>\n",
       "      <th>fBodyAcc-STD-2</th>\n",
       "      <th>fBodyAcc-STD-3</th>\n",
       "      <th>fBodyAcc-Mad-1</th>\n",
       "      <th>fBodyAcc-Mad-2</th>\n",
       "      <th>fBodyAcc-Mad-3</th>\n",
       "      <th>fBodyAcc-Max-1</th>\n",
       "      <th>fBodyAcc-Max-2</th>\n",
       "      <th>fBodyAcc-Max-3</th>\n",
       "      <th>fBodyAcc-Min-1</th>\n",
       "      <th>fBodyAcc-Min-2</th>\n",
       "      <th>fBodyAcc-Min-3</th>\n",
       "      <th>fBodyAcc-SMA-1</th>\n",
       "      <th>fBodyAcc-Energy-1</th>\n",
       "      <th>fBodyAcc-Energy-2</th>\n",
       "      <th>fBodyAcc-Energy-3</th>\n",
       "      <th>fBodyAcc-IQR-1</th>\n",
       "      <th>fBodyAcc-IQR-2</th>\n",
       "      <th>fBodyAcc-IQR-3</th>\n",
       "      <th>fBodyAcc-ropy-1</th>\n",
       "      <th>fBodyAcc-ropy-2</th>\n",
       "      <th>fBodyAcc-ropy-3</th>\n",
       "      <th>fBodyAcc-MaxInds-1</th>\n",
       "      <th>fBodyAcc-MaxInds-2</th>\n",
       "      <th>fBodyAcc-MaxInds-3</th>\n",
       "      <th>fBodyAcc-MeanFreq-1</th>\n",
       "      <th>fBodyAcc-MeanFreq-2</th>\n",
       "      <th>fBodyAcc-MeanFreq-3</th>\n",
       "      <th>fBodyAcc-Skewness-1</th>\n",
       "      <th>fBodyAcc-Kurtosis-1</th>\n",
       "      <th>fBodyAcc-Skewness-2</th>\n",
       "      <th>fBodyAcc-Kurtosis-2</th>\n",
       "      <th>fBodyAcc-Skewness-3</th>\n",
       "      <th>fBodyAcc-Kurtosis-3</th>\n",
       "      <th>fBodyAcc-BandsEnergyOld-1</th>\n",
       "      <th>fBodyAcc-BandsEnergyOld-2</th>\n",
       "      <th>fBodyAcc-BandsEnergyOld-3</th>\n",
       "      <th>fBodyAcc-BandsEnergyOld-4</th>\n",
       "      <th>fBodyAcc-BandsEnergyOld-5</th>\n",
       "      <th>fBodyAcc-BandsEnergyOld-6</th>\n",
       "      <th>fBodyAcc-BandsEnergyOld-7</th>\n",
       "      <th>fBodyAcc-BandsEnergyOld-8</th>\n",
       "      <th>fBodyAcc-BandsEnergyOld-9</th>\n",
       "      <th>fBodyAcc-BandsEnergyOld-10</th>\n",
       "      <th>fBodyAcc-BandsEnergyOld-11</th>\n",
       "      <th>fBodyAcc-BandsEnergyOld-12</th>\n",
       "      <th>fBodyAcc-BandsEnergyOld-13</th>\n",
       "      <th>fBodyAcc-BandsEnergyOld-14</th>\n",
       "      <th>fBodyAcc-BandsEnergyOld-15</th>\n",
       "      <th>fBodyAcc-BandsEnergyOld-16</th>\n",
       "      <th>fBodyAcc-BandsEnergyOld-17</th>\n",
       "      <th>fBodyAcc-BandsEnergyOld-18</th>\n",
       "      <th>fBodyAcc-BandsEnergyOld-19</th>\n",
       "      <th>fBodyAcc-BandsEnergyOld-20</th>\n",
       "      <th>fBodyAcc-BandsEnergyOld-21</th>\n",
       "      <th>fBodyAcc-BandsEnergyOld-22</th>\n",
       "      <th>fBodyAcc-BandsEnergyOld-23</th>\n",
       "      <th>fBodyAcc-BandsEnergyOld-24</th>\n",
       "      <th>fBodyAcc-BandsEnergyOld-25</th>\n",
       "      <th>fBodyAcc-BandsEnergyOld-26</th>\n",
       "      <th>fBodyAcc-BandsEnergyOld-27</th>\n",
       "      <th>fBodyAcc-BandsEnergyOld-28</th>\n",
       "      <th>fBodyAcc-BandsEnergyOld-29</th>\n",
       "      <th>fBodyAcc-BandsEnergyOld-30</th>\n",
       "      <th>fBodyAcc-BandsEnergyOld-31</th>\n",
       "      <th>fBodyAcc-BandsEnergyOld-32</th>\n",
       "      <th>fBodyAcc-BandsEnergyOld-33</th>\n",
       "      <th>fBodyAcc-BandsEnergyOld-34</th>\n",
       "      <th>fBodyAcc-BandsEnergyOld-35</th>\n",
       "      <th>fBodyAcc-BandsEnergyOld-36</th>\n",
       "      <th>fBodyAcc-BandsEnergyOld-37</th>\n",
       "      <th>fBodyAcc-BandsEnergyOld-38</th>\n",
       "      <th>fBodyAcc-BandsEnergyOld-39</th>\n",
       "      <th>fBodyAcc-BandsEnergyOld-40</th>\n",
       "      <th>fBodyAcc-BandsEnergyOld-41</th>\n",
       "      <th>fBodyAcc-BandsEnergyOld-42</th>\n",
       "      <th>fBodyAccJerk-Mean-1</th>\n",
       "      <th>fBodyAccJerk-Mean-2</th>\n",
       "      <th>fBodyAccJerk-Mean-3</th>\n",
       "      <th>fBodyAccJerk-STD-1</th>\n",
       "      <th>fBodyAccJerk-STD-2</th>\n",
       "      <th>fBodyAccJerk-STD-3</th>\n",
       "      <th>fBodyAccJerk-Mad-1</th>\n",
       "      <th>fBodyAccJerk-Mad-2</th>\n",
       "      <th>fBodyAccJerk-Mad-3</th>\n",
       "      <th>fBodyAccJerk-Max-1</th>\n",
       "      <th>fBodyAccJerk-Max-2</th>\n",
       "      <th>fBodyAccJerk-Max-3</th>\n",
       "      <th>fBodyAccJerk-Min-1</th>\n",
       "      <th>fBodyAccJerk-Min-2</th>\n",
       "      <th>fBodyAccJerk-Min-3</th>\n",
       "      <th>fBodyAccJerk-SMA-1</th>\n",
       "      <th>fBodyAccJerk-Energy-1</th>\n",
       "      <th>fBodyAccJerk-Energy-2</th>\n",
       "      <th>fBodyAccJerk-Energy-3</th>\n",
       "      <th>fBodyAccJerk-IQR-1</th>\n",
       "      <th>fBodyAccJerk-IQR-2</th>\n",
       "      <th>fBodyAccJerk-IQR-3</th>\n",
       "      <th>fBodyAccJerk-ropy-1</th>\n",
       "      <th>fBodyAccJerk-ropy-2</th>\n",
       "      <th>fBodyAccJerk-ropy-3</th>\n",
       "      <th>fBodyAccJerk-MaxInds-1</th>\n",
       "      <th>fBodyAccJerk-MaxInds-2</th>\n",
       "      <th>fBodyAccJerk-MaxInds-3</th>\n",
       "      <th>fBodyAccJerk-MeanFreq-1</th>\n",
       "      <th>fBodyAccJerk-MeanFreq-2</th>\n",
       "      <th>fBodyAccJerk-MeanFreq-3</th>\n",
       "      <th>fBodyAccJerk-Skewness-1</th>\n",
       "      <th>fBodyAccJerk-Kurtosis-1</th>\n",
       "      <th>fBodyAccJerk-Skewness-2</th>\n",
       "      <th>fBodyAccJerk-Kurtosis-2</th>\n",
       "      <th>fBodyAccJerk-Skewness-3</th>\n",
       "      <th>fBodyAccJerk-Kurtosis-3</th>\n",
       "      <th>fBodyAccJerk-BandsEnergyOld-1</th>\n",
       "      <th>fBodyAccJerk-BandsEnergyOld-2</th>\n",
       "      <th>fBodyAccJerk-BandsEnergyOld-3</th>\n",
       "      <th>fBodyAccJerk-BandsEnergyOld-4</th>\n",
       "      <th>fBodyAccJerk-BandsEnergyOld-5</th>\n",
       "      <th>fBodyAccJerk-BandsEnergyOld-6</th>\n",
       "      <th>fBodyAccJerk-BandsEnergyOld-7</th>\n",
       "      <th>fBodyAccJerk-BandsEnergyOld-8</th>\n",
       "      <th>fBodyAccJerk-BandsEnergyOld-9</th>\n",
       "      <th>fBodyAccJerk-BandsEnergyOld-10</th>\n",
       "      <th>fBodyAccJerk-BandsEnergyOld-11</th>\n",
       "      <th>fBodyAccJerk-BandsEnergyOld-12</th>\n",
       "      <th>fBodyAccJerk-BandsEnergyOld-13</th>\n",
       "      <th>fBodyAccJerk-BandsEnergyOld-14</th>\n",
       "      <th>fBodyAccJerk-BandsEnergyOld-15</th>\n",
       "      <th>fBodyAccJerk-BandsEnergyOld-16</th>\n",
       "      <th>fBodyAccJerk-BandsEnergyOld-17</th>\n",
       "      <th>fBodyAccJerk-BandsEnergyOld-18</th>\n",
       "      <th>fBodyAccJerk-BandsEnergyOld-19</th>\n",
       "      <th>fBodyAccJerk-BandsEnergyOld-20</th>\n",
       "      <th>fBodyAccJerk-BandsEnergyOld-21</th>\n",
       "      <th>fBodyAccJerk-BandsEnergyOld-22</th>\n",
       "      <th>fBodyAccJerk-BandsEnergyOld-23</th>\n",
       "      <th>fBodyAccJerk-BandsEnergyOld-24</th>\n",
       "      <th>fBodyAccJerk-BandsEnergyOld-25</th>\n",
       "      <th>fBodyAccJerk-BandsEnergyOld-26</th>\n",
       "      <th>fBodyAccJerk-BandsEnergyOld-27</th>\n",
       "      <th>fBodyAccJerk-BandsEnergyOld-28</th>\n",
       "      <th>fBodyAccJerk-BandsEnergyOld-29</th>\n",
       "      <th>fBodyAccJerk-BandsEnergyOld-30</th>\n",
       "      <th>fBodyAccJerk-BandsEnergyOld-31</th>\n",
       "      <th>fBodyAccJerk-BandsEnergyOld-32</th>\n",
       "      <th>fBodyAccJerk-BandsEnergyOld-33</th>\n",
       "      <th>fBodyAccJerk-BandsEnergyOld-34</th>\n",
       "      <th>fBodyAccJerk-BandsEnergyOld-35</th>\n",
       "      <th>fBodyAccJerk-BandsEnergyOld-36</th>\n",
       "      <th>fBodyAccJerk-BandsEnergyOld-37</th>\n",
       "      <th>fBodyAccJerk-BandsEnergyOld-38</th>\n",
       "      <th>fBodyAccJerk-BandsEnergyOld-39</th>\n",
       "      <th>fBodyAccJerk-BandsEnergyOld-40</th>\n",
       "      <th>fBodyAccJerk-BandsEnergyOld-41</th>\n",
       "      <th>fBodyAccJerk-BandsEnergyOld-42</th>\n",
       "      <th>fBodyGyro-Mean-1</th>\n",
       "      <th>fBodyGyro-Mean-2</th>\n",
       "      <th>fBodyGyro-Mean-3</th>\n",
       "      <th>fBodyGyro-STD-1</th>\n",
       "      <th>fBodyGyro-STD-2</th>\n",
       "      <th>fBodyGyro-STD-3</th>\n",
       "      <th>fBodyGyro-Mad-1</th>\n",
       "      <th>fBodyGyro-Mad-2</th>\n",
       "      <th>fBodyGyro-Mad-3</th>\n",
       "      <th>fBodyGyro-Max-1</th>\n",
       "      <th>fBodyGyro-Max-2</th>\n",
       "      <th>fBodyGyro-Max-3</th>\n",
       "      <th>fBodyGyro-Min-1</th>\n",
       "      <th>fBodyGyro-Min-2</th>\n",
       "      <th>fBodyGyro-Min-3</th>\n",
       "      <th>fBodyGyro-SMA-1</th>\n",
       "      <th>fBodyGyro-Energy-1</th>\n",
       "      <th>fBodyGyro-Energy-2</th>\n",
       "      <th>fBodyGyro-Energy-3</th>\n",
       "      <th>fBodyGyro-IQR-1</th>\n",
       "      <th>fBodyGyro-IQR-2</th>\n",
       "      <th>fBodyGyro-IQR-3</th>\n",
       "      <th>fBodyGyro-ropy-1</th>\n",
       "      <th>fBodyGyro-ropy-2</th>\n",
       "      <th>fBodyGyro-ropy-3</th>\n",
       "      <th>fBodyGyro-MaxInds-1</th>\n",
       "      <th>fBodyGyro-MaxInds-2</th>\n",
       "      <th>fBodyGyro-MaxInds-3</th>\n",
       "      <th>fBodyGyro-MeanFreq-1</th>\n",
       "      <th>fBodyGyro-MeanFreq-2</th>\n",
       "      <th>fBodyGyro-MeanFreq-3</th>\n",
       "      <th>fBodyGyro-Skewness-1</th>\n",
       "      <th>fBodyGyro-Kurtosis-1</th>\n",
       "      <th>fBodyGyro-Skewness-2</th>\n",
       "      <th>fBodyGyro-Kurtosis-2</th>\n",
       "      <th>fBodyGyro-Skewness-3</th>\n",
       "      <th>fBodyGyro-Kurtosis-3</th>\n",
       "      <th>fBodyGyro-BandsEnergyOld-1</th>\n",
       "      <th>fBodyGyro-BandsEnergyOld-2</th>\n",
       "      <th>fBodyGyro-BandsEnergyOld-3</th>\n",
       "      <th>fBodyGyro-BandsEnergyOld-4</th>\n",
       "      <th>fBodyGyro-BandsEnergyOld-5</th>\n",
       "      <th>fBodyGyro-BandsEnergyOld-6</th>\n",
       "      <th>fBodyGyro-BandsEnergyOld-7</th>\n",
       "      <th>fBodyGyro-BandsEnergyOld-8</th>\n",
       "      <th>fBodyGyro-BandsEnergyOld-9</th>\n",
       "      <th>fBodyGyro-BandsEnergyOld-10</th>\n",
       "      <th>fBodyGyro-BandsEnergyOld-11</th>\n",
       "      <th>fBodyGyro-BandsEnergyOld-12</th>\n",
       "      <th>fBodyGyro-BandsEnergyOld-13</th>\n",
       "      <th>fBodyGyro-BandsEnergyOld-14</th>\n",
       "      <th>fBodyGyro-BandsEnergyOld-15</th>\n",
       "      <th>fBodyGyro-BandsEnergyOld-16</th>\n",
       "      <th>fBodyGyro-BandsEnergyOld-17</th>\n",
       "      <th>fBodyGyro-BandsEnergyOld-18</th>\n",
       "      <th>fBodyGyro-BandsEnergyOld-19</th>\n",
       "      <th>fBodyGyro-BandsEnergyOld-20</th>\n",
       "      <th>fBodyGyro-BandsEnergyOld-21</th>\n",
       "      <th>fBodyGyro-BandsEnergyOld-22</th>\n",
       "      <th>fBodyGyro-BandsEnergyOld-23</th>\n",
       "      <th>fBodyGyro-BandsEnergyOld-24</th>\n",
       "      <th>fBodyGyro-BandsEnergyOld-25</th>\n",
       "      <th>fBodyGyro-BandsEnergyOld-26</th>\n",
       "      <th>fBodyGyro-BandsEnergyOld-27</th>\n",
       "      <th>fBodyGyro-BandsEnergyOld-28</th>\n",
       "      <th>fBodyGyro-BandsEnergyOld-29</th>\n",
       "      <th>fBodyGyro-BandsEnergyOld-30</th>\n",
       "      <th>fBodyGyro-BandsEnergyOld-31</th>\n",
       "      <th>fBodyGyro-BandsEnergyOld-32</th>\n",
       "      <th>fBodyGyro-BandsEnergyOld-33</th>\n",
       "      <th>fBodyGyro-BandsEnergyOld-34</th>\n",
       "      <th>fBodyGyro-BandsEnergyOld-35</th>\n",
       "      <th>fBodyGyro-BandsEnergyOld-36</th>\n",
       "      <th>fBodyGyro-BandsEnergyOld-37</th>\n",
       "      <th>fBodyGyro-BandsEnergyOld-38</th>\n",
       "      <th>fBodyGyro-BandsEnergyOld-39</th>\n",
       "      <th>fBodyGyro-BandsEnergyOld-40</th>\n",
       "      <th>fBodyGyro-BandsEnergyOld-41</th>\n",
       "      <th>fBodyGyro-BandsEnergyOld-42</th>\n",
       "      <th>fBodyAccMag-Mean-1</th>\n",
       "      <th>fBodyAccMag-STD-1</th>\n",
       "      <th>fBodyAccMag-Mad-1</th>\n",
       "      <th>fBodyAccMag-Max-1</th>\n",
       "      <th>fBodyAccMag-Min-1</th>\n",
       "      <th>fBodyAccMag-SMA-1</th>\n",
       "      <th>fBodyAccMag-Energy-1</th>\n",
       "      <th>fBodyAccMag-IQR-1</th>\n",
       "      <th>fBodyAccMag-ropy-1</th>\n",
       "      <th>fBodyAccMag-MaxInds-1</th>\n",
       "      <th>fBodyAccMag-MeanFreq-1</th>\n",
       "      <th>fBodyAccMag-Skewness-1</th>\n",
       "      <th>fBodyAccMag-Kurtosis-1</th>\n",
       "      <th>fBodyAccJerkMag-Mean-1</th>\n",
       "      <th>fBodyAccJerkMag-STD-1</th>\n",
       "      <th>fBodyAccJerkMag-Mad-1</th>\n",
       "      <th>fBodyAccJerkMag-Max-1</th>\n",
       "      <th>fBodyAccJerkMag-Min-1</th>\n",
       "      <th>fBodyAccJerkMag-SMA-1</th>\n",
       "      <th>fBodyAccJerkMag-Energy-1</th>\n",
       "      <th>fBodyAccJerkMag-IQR-1</th>\n",
       "      <th>fBodyAccJerkMag-ropy-1</th>\n",
       "      <th>fBodyAccJerkMag-MaxInds-1</th>\n",
       "      <th>fBodyAccJerkMag-MeanFreq-1</th>\n",
       "      <th>fBodyAccJerkMag-Skewness-1</th>\n",
       "      <th>fBodyAccJerkMag-Kurtosis-1</th>\n",
       "      <th>fBodyGyroMag-Mean-1</th>\n",
       "      <th>fBodyGyroMag-STD-1</th>\n",
       "      <th>fBodyGyroMag-Mad-1</th>\n",
       "      <th>fBodyGyroMag-Max-1</th>\n",
       "      <th>fBodyGyroMag-Min-1</th>\n",
       "      <th>fBodyGyroMag-SMA-1</th>\n",
       "      <th>fBodyGyroMag-Energy-1</th>\n",
       "      <th>fBodyGyroMag-IQR-1</th>\n",
       "      <th>fBodyGyroMag-ropy-1</th>\n",
       "      <th>fBodyGyroMag-MaxInds-1</th>\n",
       "      <th>fBodyGyroMag-MeanFreq-1</th>\n",
       "      <th>fBodyGyroMag-Skewness-1</th>\n",
       "      <th>fBodyGyroMag-Kurtosis-1</th>\n",
       "      <th>fBodyGyroJerkMag-Mean-1</th>\n",
       "      <th>fBodyGyroJerkMag-STD-1</th>\n",
       "      <th>fBodyGyroJerkMag-Mad-1</th>\n",
       "      <th>fBodyGyroJerkMag-Max-1</th>\n",
       "      <th>fBodyGyroJerkMag-Min-1</th>\n",
       "      <th>fBodyGyroJerkMag-SMA-1</th>\n",
       "      <th>fBodyGyroJerkMag-Energy-1</th>\n",
       "      <th>fBodyGyroJerkMag-IQR-1</th>\n",
       "      <th>fBodyGyroJerkMag-ropy-1</th>\n",
       "      <th>fBodyGyroJerkMag-MaxInds-1</th>\n",
       "      <th>fBodyGyroJerkMag-MeanFreq-1</th>\n",
       "      <th>fBodyGyroJerkMag-Skewness-1</th>\n",
       "      <th>fBodyGyroJerkMag-Kurtosis-1</th>\n",
       "      <th>tBodyAcc-AngleWRTGravity-1</th>\n",
       "      <th>tBodyAccJerk-AngleWRTGravity-1</th>\n",
       "      <th>tBodyGyro-AngleWRTGravity-1</th>\n",
       "      <th>tBodyGyroJerk-AngleWRTGravity-1</th>\n",
       "      <th>tXAxisAcc-AngleWRTGravity-1</th>\n",
       "      <th>tYAxisAcc-AngleWRTGravity-1</th>\n",
       "      <th>tZAxisAcc-AngleWRTGravity-1</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0.043580</td>\n",
       "      <td>-0.005970</td>\n",
       "      <td>-0.035054</td>\n",
       "      <td>-0.995381</td>\n",
       "      <td>-0.988366</td>\n",
       "      <td>-0.937382</td>\n",
       "      <td>-0.995007</td>\n",
       "      <td>-0.988816</td>\n",
       "      <td>-0.953325</td>\n",
       "      <td>-0.794796</td>\n",
       "      <td>-0.744893</td>\n",
       "      <td>-0.648447</td>\n",
       "      <td>0.841796</td>\n",
       "      <td>0.708440</td>\n",
       "      <td>0.651716</td>\n",
       "      <td>-0.975752</td>\n",
       "      <td>-0.999950</td>\n",
       "      <td>-0.999888</td>\n",
       "      <td>-0.998014</td>\n",
       "      <td>-0.993999</td>\n",
       "      <td>-0.991980</td>\n",
       "      <td>-0.970970</td>\n",
       "      <td>-0.547095</td>\n",
       "      <td>-0.700974</td>\n",
       "      <td>-0.622697</td>\n",
       "      <td>0.921884</td>\n",
       "      <td>-0.719483</td>\n",
       "      <td>0.342168</td>\n",
       "      <td>-0.161318</td>\n",
       "      <td>0.266049</td>\n",
       "      <td>-0.274351</td>\n",
       "      <td>0.267205</td>\n",
       "      <td>-0.020958</td>\n",
       "      <td>0.382610</td>\n",
       "      <td>-0.501748</td>\n",
       "      <td>0.512463</td>\n",
       "      <td>-0.206337</td>\n",
       "      <td>0.376778</td>\n",
       "      <td>0.435172</td>\n",
       "      <td>0.660199</td>\n",
       "      <td>0.960051</td>\n",
       "      <td>-0.135939</td>\n",
       "      <td>0.115556</td>\n",
       "      <td>-0.988134</td>\n",
       "      <td>-0.982693</td>\n",
       "      <td>-0.919723</td>\n",
       "      <td>-0.988362</td>\n",
       "      <td>-0.985523</td>\n",
       "      <td>-0.931834</td>\n",
       "      <td>0.892055</td>\n",
       "      <td>-0.161350</td>\n",
       "      <td>0.124660</td>\n",
       "      <td>0.977436</td>\n",
       "      <td>-0.121513</td>\n",
       "      <td>0.056114</td>\n",
       "      <td>-0.374464</td>\n",
       "      <td>0.891821</td>\n",
       "      <td>-0.970836</td>\n",
       "      <td>-0.975511</td>\n",
       "      <td>-0.989141</td>\n",
       "      <td>-0.990444</td>\n",
       "      <td>-0.948887</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>0.034249</td>\n",
       "      <td>-0.593146</td>\n",
       "      <td>0.594636</td>\n",
       "      <td>-0.596440</td>\n",
       "      <td>0.598560</td>\n",
       "      <td>-0.712209</td>\n",
       "      <td>0.709630</td>\n",
       "      <td>-0.707484</td>\n",
       "      <td>0.705000</td>\n",
       "      <td>-0.992117</td>\n",
       "      <td>0.992647</td>\n",
       "      <td>-0.992885</td>\n",
       "      <td>0.991748</td>\n",
       "      <td>0.570269</td>\n",
       "      <td>0.439065</td>\n",
       "      <td>0.986913</td>\n",
       "      <td>0.077996</td>\n",
       "      <td>0.005001</td>\n",
       "      <td>-0.097790</td>\n",
       "      <td>-0.993519</td>\n",
       "      <td>-0.988360</td>\n",
       "      <td>-0.993575</td>\n",
       "      <td>-0.994437</td>\n",
       "      <td>-0.986207</td>\n",
       "      <td>-0.992818</td>\n",
       "      <td>-0.985180</td>\n",
       "      <td>-0.991994</td>\n",
       "      <td>-0.993119</td>\n",
       "      <td>0.989835</td>\n",
       "      <td>0.991957</td>\n",
       "      <td>0.990519</td>\n",
       "      <td>-0.993658</td>\n",
       "      <td>-0.999935</td>\n",
       "      <td>-0.999820</td>\n",
       "      <td>-0.999878</td>\n",
       "      <td>-0.994407</td>\n",
       "      <td>-0.986025</td>\n",
       "      <td>-0.988698</td>\n",
       "      <td>-0.819949</td>\n",
       "      <td>-0.793046</td>\n",
       "      <td>-0.863145</td>\n",
       "      <td>0.948026</td>\n",
       "      <td>-0.334807</td>\n",
       "      <td>0.714202</td>\n",
       "      <td>0.498686</td>\n",
       "      <td>0.296681</td>\n",
       "      <td>-0.189513</td>\n",
       "      <td>0.310912</td>\n",
       "      <td>0.237110</td>\n",
       "      <td>0.410937</td>\n",
       "      <td>-0.509475</td>\n",
       "      <td>0.475574</td>\n",
       "      <td>-0.352207</td>\n",
       "      <td>-0.394631</td>\n",
       "      <td>-0.016790</td>\n",
       "      <td>-0.158237</td>\n",
       "      <td>-0.006101</td>\n",
       "      <td>0.007515</td>\n",
       "      <td>-0.063862</td>\n",
       "      <td>-0.985312</td>\n",
       "      <td>-0.976608</td>\n",
       "      <td>-0.993319</td>\n",
       "      <td>-0.984589</td>\n",
       "      <td>-0.976326</td>\n",
       "      <td>-0.993341</td>\n",
       "      <td>-0.897563</td>\n",
       "      <td>-0.936676</td>\n",
       "      <td>-0.762644</td>\n",
       "      <td>0.854297</td>\n",
       "      <td>0.895032</td>\n",
       "      <td>0.830841</td>\n",
       "      <td>-0.967122</td>\n",
       "      <td>-0.999578</td>\n",
       "      <td>-0.999354</td>\n",
       "      <td>-0.999818</td>\n",
       "      <td>-0.984400</td>\n",
       "      <td>-0.978577</td>\n",
       "      <td>-0.993053</td>\n",
       "      <td>0.082632</td>\n",
       "      <td>0.174515</td>\n",
       "      <td>-0.218437</td>\n",
       "      <td>0.320926</td>\n",
       "      <td>-0.452604</td>\n",
       "      <td>0.466133</td>\n",
       "      <td>-0.203632</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-1.000000</td>\n",
       "      <td>0.352276</td>\n",
       "      <td>0.448398</td>\n",
       "      <td>0.757793</td>\n",
       "      <td>-0.782465</td>\n",
       "      <td>0.703725</td>\n",
       "      <td>-0.399107</td>\n",
       "      <td>0.712274</td>\n",
       "      <td>0.135604</td>\n",
       "      <td>0.302777</td>\n",
       "      <td>-0.099167</td>\n",
       "      <td>-0.055517</td>\n",
       "      <td>-0.061986</td>\n",
       "      <td>-0.991918</td>\n",
       "      <td>-0.992519</td>\n",
       "      <td>-0.992352</td>\n",
       "      <td>-0.991961</td>\n",
       "      <td>-0.994949</td>\n",
       "      <td>-0.992835</td>\n",
       "      <td>-0.991766</td>\n",
       "      <td>-0.986565</td>\n",
       "      <td>-0.991894</td>\n",
       "      <td>0.994225</td>\n",
       "      <td>0.991761</td>\n",
       "      <td>0.989352</td>\n",
       "      <td>-0.994523</td>\n",
       "      <td>-0.999937</td>\n",
       "      <td>-0.999954</td>\n",
       "      <td>-0.999925</td>\n",
       "      <td>-0.992214</td>\n",
       "      <td>-0.996938</td>\n",
       "      <td>-0.992584</td>\n",
       "      <td>-0.589851</td>\n",
       "      <td>-0.709836</td>\n",
       "      <td>-0.572107</td>\n",
       "      <td>0.374661</td>\n",
       "      <td>-0.306094</td>\n",
       "      <td>0.335506</td>\n",
       "      <td>-0.079307</td>\n",
       "      <td>0.989560</td>\n",
       "      <td>-0.454970</td>\n",
       "      <td>0.384435</td>\n",
       "      <td>0.307638</td>\n",
       "      <td>0.936232</td>\n",
       "      <td>-0.666282</td>\n",
       "      <td>0.772202</td>\n",
       "      <td>0.529585</td>\n",
       "      <td>-0.147221</td>\n",
       "      <td>-0.094462</td>\n",
       "      <td>0.351206</td>\n",
       "      <td>-0.969546</td>\n",
       "      <td>-0.961540</td>\n",
       "      <td>-0.967646</td>\n",
       "      <td>-0.947236</td>\n",
       "      <td>-0.994174</td>\n",
       "      <td>-0.969546</td>\n",
       "      <td>-0.999150</td>\n",
       "      <td>-0.970525</td>\n",
       "      <td>-0.219620</td>\n",
       "      <td>-0.124072</td>\n",
       "      <td>-0.058241</td>\n",
       "      <td>0.174306</td>\n",
       "      <td>0.201620</td>\n",
       "      <td>-0.969546</td>\n",
       "      <td>-0.961540</td>\n",
       "      <td>-0.967646</td>\n",
       "      <td>-0.947236</td>\n",
       "      <td>-0.994174</td>\n",
       "      <td>-0.969546</td>\n",
       "      <td>-0.999150</td>\n",
       "      <td>-0.970525</td>\n",
       "      <td>-0.219620</td>\n",
       "      <td>-0.124072</td>\n",
       "      <td>-0.058241</td>\n",
       "      <td>0.174306</td>\n",
       "      <td>0.201620</td>\n",
       "      <td>-0.994088</td>\n",
       "      <td>-0.994309</td>\n",
       "      <td>-0.994421</td>\n",
       "      <td>-0.992436</td>\n",
       "      <td>-0.991208</td>\n",
       "      <td>-0.994088</td>\n",
       "      <td>-0.999901</td>\n",
       "      <td>-0.992972</td>\n",
       "      <td>-0.863284</td>\n",
       "      <td>0.303277</td>\n",
       "      <td>-0.266169</td>\n",
       "      <td>-0.199724</td>\n",
       "      <td>0.067560</td>\n",
       "      <td>-0.968904</td>\n",
       "      <td>-0.964335</td>\n",
       "      <td>-0.959638</td>\n",
       "      <td>-0.975108</td>\n",
       "      <td>-0.995009</td>\n",
       "      <td>-0.968904</td>\n",
       "      <td>-0.999286</td>\n",
       "      <td>-0.954864</td>\n",
       "      <td>0.189420</td>\n",
       "      <td>0.556827</td>\n",
       "      <td>-0.830369</td>\n",
       "      <td>0.302198</td>\n",
       "      <td>0.435743</td>\n",
       "      <td>-0.994300</td>\n",
       "      <td>-0.991368</td>\n",
       "      <td>-0.993143</td>\n",
       "      <td>-0.988936</td>\n",
       "      <td>-0.993486</td>\n",
       "      <td>-0.994300</td>\n",
       "      <td>-0.999949</td>\n",
       "      <td>-0.994547</td>\n",
       "      <td>-0.619768</td>\n",
       "      <td>0.329124</td>\n",
       "      <td>-0.149682</td>\n",
       "      <td>-0.218394</td>\n",
       "      <td>-0.037588</td>\n",
       "      <td>-0.994810</td>\n",
       "      <td>-0.982984</td>\n",
       "      <td>-0.939455</td>\n",
       "      <td>-0.995272</td>\n",
       "      <td>-0.989848</td>\n",
       "      <td>-0.940334</td>\n",
       "      <td>-0.996824</td>\n",
       "      <td>-0.984703</td>\n",
       "      <td>-0.933409</td>\n",
       "      <td>-0.993664</td>\n",
       "      <td>-0.990217</td>\n",
       "      <td>-0.942332</td>\n",
       "      <td>-0.993953</td>\n",
       "      <td>-0.993448</td>\n",
       "      <td>-0.923441</td>\n",
       "      <td>-0.974733</td>\n",
       "      <td>-0.999969</td>\n",
       "      <td>-0.999850</td>\n",
       "      <td>-0.997308</td>\n",
       "      <td>-0.996768</td>\n",
       "      <td>-0.989709</td>\n",
       "      <td>-0.990807</td>\n",
       "      <td>-0.946357</td>\n",
       "      <td>-0.904748</td>\n",
       "      <td>-0.591302</td>\n",
       "      <td>-1.000000</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>0.362082</td>\n",
       "      <td>0.159191</td>\n",
       "      <td>0.048350</td>\n",
       "      <td>0.141770</td>\n",
       "      <td>-0.151402</td>\n",
       "      <td>-0.260649</td>\n",
       "      <td>-0.551542</td>\n",
       "      <td>0.253214</td>\n",
       "      <td>-0.019604</td>\n",
       "      <td>-0.999963</td>\n",
       "      <td>-0.999987</td>\n",
       "      <td>-0.999979</td>\n",
       "      <td>-0.999962</td>\n",
       "      <td>-0.999932</td>\n",
       "      <td>-0.999726</td>\n",
       "      <td>-0.999670</td>\n",
       "      <td>-0.999986</td>\n",
       "      <td>-0.999968</td>\n",
       "      <td>-0.999977</td>\n",
       "      <td>-0.999869</td>\n",
       "      <td>-0.999776</td>\n",
       "      <td>-0.999971</td>\n",
       "      <td>-0.999918</td>\n",
       "      <td>-0.999885</td>\n",
       "      <td>-0.999860</td>\n",
       "      <td>-0.999869</td>\n",
       "      <td>-0.999862</td>\n",
       "      <td>-0.999746</td>\n",
       "      <td>-0.999721</td>\n",
       "      <td>-0.999493</td>\n",
       "      <td>-0.999814</td>\n",
       "      <td>-0.999861</td>\n",
       "      <td>-0.999838</td>\n",
       "      <td>-0.999742</td>\n",
       "      <td>-0.999615</td>\n",
       "      <td>-0.999856</td>\n",
       "      <td>-0.999839</td>\n",
       "      <td>-0.997422</td>\n",
       "      <td>-0.999471</td>\n",
       "      <td>-0.999662</td>\n",
       "      <td>-0.999642</td>\n",
       "      <td>-0.999297</td>\n",
       "      <td>-0.997892</td>\n",
       "      <td>-0.995932</td>\n",
       "      <td>-0.995514</td>\n",
       "      <td>-0.997367</td>\n",
       "      <td>-0.999685</td>\n",
       "      <td>-0.998918</td>\n",
       "      <td>-0.995667</td>\n",
       "      <td>-0.997348</td>\n",
       "      <td>-0.999454</td>\n",
       "      <td>-0.992332</td>\n",
       "      <td>-0.987170</td>\n",
       "      <td>-0.989644</td>\n",
       "      <td>-0.995821</td>\n",
       "      <td>-0.990936</td>\n",
       "      <td>-0.996462</td>\n",
       "      <td>-0.993805</td>\n",
       "      <td>-0.990519</td>\n",
       "      <td>-0.997124</td>\n",
       "      <td>-0.996740</td>\n",
       "      <td>-0.991975</td>\n",
       "      <td>-0.993157</td>\n",
       "      <td>-0.998353</td>\n",
       "      <td>-0.991108</td>\n",
       "      <td>-0.959896</td>\n",
       "      <td>-0.990984</td>\n",
       "      <td>-0.999935</td>\n",
       "      <td>-0.999820</td>\n",
       "      <td>-0.999884</td>\n",
       "      <td>-0.992164</td>\n",
       "      <td>-0.991420</td>\n",
       "      <td>-0.995502</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>1.00</td>\n",
       "      <td>-0.24</td>\n",
       "      <td>-1.00</td>\n",
       "      <td>0.700793</td>\n",
       "      <td>0.212390</td>\n",
       "      <td>0.364436</td>\n",
       "      <td>-0.717929</td>\n",
       "      <td>-0.920371</td>\n",
       "      <td>-0.643844</td>\n",
       "      <td>-0.936310</td>\n",
       "      <td>-0.483803</td>\n",
       "      <td>-0.818680</td>\n",
       "      <td>-0.999987</td>\n",
       "      <td>-0.999980</td>\n",
       "      <td>-0.999975</td>\n",
       "      <td>-0.999955</td>\n",
       "      <td>-0.999919</td>\n",
       "      <td>-0.999640</td>\n",
       "      <td>-0.999484</td>\n",
       "      <td>-0.999961</td>\n",
       "      <td>-0.999983</td>\n",
       "      <td>-0.999971</td>\n",
       "      <td>-0.999817</td>\n",
       "      <td>-0.999487</td>\n",
       "      <td>-0.999979</td>\n",
       "      <td>-0.999853</td>\n",
       "      <td>-0.999933</td>\n",
       "      <td>-0.999900</td>\n",
       "      <td>-0.999824</td>\n",
       "      <td>-0.999857</td>\n",
       "      <td>-0.999733</td>\n",
       "      <td>-0.999727</td>\n",
       "      <td>-0.999567</td>\n",
       "      <td>-0.999765</td>\n",
       "      <td>-0.999900</td>\n",
       "      <td>-0.999813</td>\n",
       "      <td>-0.999705</td>\n",
       "      <td>-0.999596</td>\n",
       "      <td>-0.999852</td>\n",
       "      <td>-0.999822</td>\n",
       "      <td>-0.999399</td>\n",
       "      <td>-0.999763</td>\n",
       "      <td>-0.999958</td>\n",
       "      <td>-0.999944</td>\n",
       "      <td>-0.999825</td>\n",
       "      <td>-0.999814</td>\n",
       "      <td>-0.998776</td>\n",
       "      <td>-0.998578</td>\n",
       "      <td>-0.999617</td>\n",
       "      <td>-0.999984</td>\n",
       "      <td>-0.999832</td>\n",
       "      <td>-0.998676</td>\n",
       "      <td>-0.999844</td>\n",
       "      <td>-0.999922</td>\n",
       "      <td>-0.986590</td>\n",
       "      <td>-0.981771</td>\n",
       "      <td>-0.989356</td>\n",
       "      <td>-0.985028</td>\n",
       "      <td>-0.973907</td>\n",
       "      <td>-0.994979</td>\n",
       "      <td>-0.987340</td>\n",
       "      <td>-0.983652</td>\n",
       "      <td>-0.992309</td>\n",
       "      <td>-0.981948</td>\n",
       "      <td>-0.972298</td>\n",
       "      <td>-0.995380</td>\n",
       "      <td>-0.997569</td>\n",
       "      <td>-0.984087</td>\n",
       "      <td>-0.994326</td>\n",
       "      <td>-0.985259</td>\n",
       "      <td>-0.999864</td>\n",
       "      <td>-0.999666</td>\n",
       "      <td>-0.999953</td>\n",
       "      <td>-0.990217</td>\n",
       "      <td>-0.994827</td>\n",
       "      <td>-0.994412</td>\n",
       "      <td>-0.712402</td>\n",
       "      <td>-0.644842</td>\n",
       "      <td>-0.838993</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>-1.000000</td>\n",
       "      <td>-1.000000</td>\n",
       "      <td>-0.216908</td>\n",
       "      <td>0.093167</td>\n",
       "      <td>0.458656</td>\n",
       "      <td>0.373538</td>\n",
       "      <td>0.130112</td>\n",
       "      <td>0.273331</td>\n",
       "      <td>-0.086918</td>\n",
       "      <td>-0.496486</td>\n",
       "      <td>-0.779179</td>\n",
       "      <td>-0.999865</td>\n",
       "      <td>-0.999932</td>\n",
       "      <td>-0.999972</td>\n",
       "      <td>-0.999970</td>\n",
       "      <td>-0.999932</td>\n",
       "      <td>-0.999959</td>\n",
       "      <td>-0.999929</td>\n",
       "      <td>-0.999985</td>\n",
       "      <td>-0.999863</td>\n",
       "      <td>-0.999967</td>\n",
       "      <td>-0.999937</td>\n",
       "      <td>-0.999954</td>\n",
       "      <td>-0.999864</td>\n",
       "      <td>-0.999962</td>\n",
       "      <td>-0.999569</td>\n",
       "      <td>-0.999978</td>\n",
       "      <td>-0.999992</td>\n",
       "      <td>-0.999990</td>\n",
       "      <td>-0.999969</td>\n",
       "      <td>-0.999807</td>\n",
       "      <td>-0.998346</td>\n",
       "      <td>-0.998961</td>\n",
       "      <td>-0.999619</td>\n",
       "      <td>-0.999989</td>\n",
       "      <td>-0.999936</td>\n",
       "      <td>-0.998388</td>\n",
       "      <td>-0.999643</td>\n",
       "      <td>-0.999973</td>\n",
       "      <td>-0.999970</td>\n",
       "      <td>-0.999976</td>\n",
       "      <td>-0.999906</td>\n",
       "      <td>-0.999986</td>\n",
       "      <td>-0.999937</td>\n",
       "      <td>-0.999751</td>\n",
       "      <td>-0.999072</td>\n",
       "      <td>-0.999928</td>\n",
       "      <td>-0.999966</td>\n",
       "      <td>-0.999909</td>\n",
       "      <td>-0.999893</td>\n",
       "      <td>-0.999444</td>\n",
       "      <td>-0.999958</td>\n",
       "      <td>-0.999959</td>\n",
       "      <td>-0.951550</td>\n",
       "      <td>-0.966538</td>\n",
       "      <td>-0.948524</td>\n",
       "      <td>-0.981575</td>\n",
       "      <td>-0.921603</td>\n",
       "      <td>-0.951550</td>\n",
       "      <td>-0.998989</td>\n",
       "      <td>-0.972007</td>\n",
       "      <td>-0.646376</td>\n",
       "      <td>-0.842105</td>\n",
       "      <td>-0.061629</td>\n",
       "      <td>-0.446120</td>\n",
       "      <td>-0.797046</td>\n",
       "      <td>-0.993610</td>\n",
       "      <td>-0.994226</td>\n",
       "      <td>-0.992839</td>\n",
       "      <td>-0.993778</td>\n",
       "      <td>-0.988172</td>\n",
       "      <td>-0.993610</td>\n",
       "      <td>-0.999918</td>\n",
       "      <td>-0.991736</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>-0.936508</td>\n",
       "      <td>0.349260</td>\n",
       "      <td>-0.517127</td>\n",
       "      <td>-0.801006</td>\n",
       "      <td>-0.980135</td>\n",
       "      <td>-0.961301</td>\n",
       "      <td>-0.974129</td>\n",
       "      <td>-0.956013</td>\n",
       "      <td>-0.989894</td>\n",
       "      <td>-0.980135</td>\n",
       "      <td>-0.999240</td>\n",
       "      <td>-0.992673</td>\n",
       "      <td>-0.701291</td>\n",
       "      <td>-1.000000</td>\n",
       "      <td>-0.132480</td>\n",
       "      <td>0.565697</td>\n",
       "      <td>0.363478</td>\n",
       "      <td>-0.991994</td>\n",
       "      <td>-0.990877</td>\n",
       "      <td>-0.990169</td>\n",
       "      <td>-0.992521</td>\n",
       "      <td>-0.991044</td>\n",
       "      <td>-0.991994</td>\n",
       "      <td>-0.999937</td>\n",
       "      <td>-0.990537</td>\n",
       "      <td>-0.871306</td>\n",
       "      <td>-1.000000</td>\n",
       "      <td>-0.012236</td>\n",
       "      <td>-0.314848</td>\n",
       "      <td>-0.713308</td>\n",
       "      <td>-0.112754</td>\n",
       "      <td>0.030400</td>\n",
       "      <td>-0.464761</td>\n",
       "      <td>-0.018446</td>\n",
       "      <td>-0.841559</td>\n",
       "      <td>0.179913</td>\n",
       "      <td>-0.051718</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0.039480</td>\n",
       "      <td>-0.002131</td>\n",
       "      <td>-0.029067</td>\n",
       "      <td>-0.998348</td>\n",
       "      <td>-0.982945</td>\n",
       "      <td>-0.971273</td>\n",
       "      <td>-0.998702</td>\n",
       "      <td>-0.983315</td>\n",
       "      <td>-0.974000</td>\n",
       "      <td>-0.802537</td>\n",
       "      <td>-0.736338</td>\n",
       "      <td>-0.712415</td>\n",
       "      <td>0.838758</td>\n",
       "      <td>0.708440</td>\n",
       "      <td>0.659340</td>\n",
       "      <td>-0.987427</td>\n",
       "      <td>-0.999993</td>\n",
       "      <td>-0.999826</td>\n",
       "      <td>-0.999411</td>\n",
       "      <td>-0.998918</td>\n",
       "      <td>-0.985482</td>\n",
       "      <td>-0.973481</td>\n",
       "      <td>-0.781973</td>\n",
       "      <td>-0.534604</td>\n",
       "      <td>-0.593165</td>\n",
       "      <td>0.607435</td>\n",
       "      <td>-0.266783</td>\n",
       "      <td>0.275882</td>\n",
       "      <td>0.200417</td>\n",
       "      <td>0.131266</td>\n",
       "      <td>-0.149017</td>\n",
       "      <td>0.292436</td>\n",
       "      <td>-0.192986</td>\n",
       "      <td>0.217496</td>\n",
       "      <td>-0.089175</td>\n",
       "      <td>0.059909</td>\n",
       "      <td>-0.236609</td>\n",
       "      <td>-0.012696</td>\n",
       "      <td>-0.072711</td>\n",
       "      <td>0.578649</td>\n",
       "      <td>0.963215</td>\n",
       "      <td>-0.136648</td>\n",
       "      <td>0.109558</td>\n",
       "      <td>-0.997918</td>\n",
       "      <td>-0.990006</td>\n",
       "      <td>-0.955160</td>\n",
       "      <td>-0.998358</td>\n",
       "      <td>-0.990346</td>\n",
       "      <td>-0.956796</td>\n",
       "      <td>0.892060</td>\n",
       "      <td>-0.161428</td>\n",
       "      <td>0.122586</td>\n",
       "      <td>0.984520</td>\n",
       "      <td>-0.113205</td>\n",
       "      <td>0.102380</td>\n",
       "      <td>-0.382480</td>\n",
       "      <td>0.900148</td>\n",
       "      <td>-0.970512</td>\n",
       "      <td>-0.978501</td>\n",
       "      <td>-0.999436</td>\n",
       "      <td>-0.991455</td>\n",
       "      <td>-0.963779</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>-0.266887</td>\n",
       "      <td>-0.414654</td>\n",
       "      <td>0.419707</td>\n",
       "      <td>-0.425066</td>\n",
       "      <td>0.430722</td>\n",
       "      <td>-0.090349</td>\n",
       "      <td>0.089337</td>\n",
       "      <td>-0.089808</td>\n",
       "      <td>0.090275</td>\n",
       "      <td>-0.832920</td>\n",
       "      <td>0.833296</td>\n",
       "      <td>-0.833454</td>\n",
       "      <td>0.832397</td>\n",
       "      <td>-0.831278</td>\n",
       "      <td>-0.865586</td>\n",
       "      <td>0.974385</td>\n",
       "      <td>0.074007</td>\n",
       "      <td>0.005771</td>\n",
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       "      <td>-0.994436</td>\n",
       "      <td>-0.995857</td>\n",
       "      <td>-0.999981</td>\n",
       "      <td>-0.994623</td>\n",
       "      <td>-1.000000</td>\n",
       "      <td>-1.000000</td>\n",
       "      <td>0.202804</td>\n",
       "      <td>-0.603199</td>\n",
       "      <td>-0.860677</td>\n",
       "      <td>0.053477</td>\n",
       "      <td>-0.007435</td>\n",
       "      <td>-0.732626</td>\n",
       "      <td>0.703511</td>\n",
       "      <td>-0.845092</td>\n",
       "      <td>0.180261</td>\n",
       "      <td>-0.047436</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0.039978</td>\n",
       "      <td>-0.005153</td>\n",
       "      <td>-0.022651</td>\n",
       "      <td>-0.995482</td>\n",
       "      <td>-0.977314</td>\n",
       "      <td>-0.984760</td>\n",
       "      <td>-0.996415</td>\n",
       "      <td>-0.975835</td>\n",
       "      <td>-0.985973</td>\n",
       "      <td>-0.798477</td>\n",
       "      <td>-0.736338</td>\n",
       "      <td>-0.712415</td>\n",
       "      <td>0.834002</td>\n",
       "      <td>0.705008</td>\n",
       "      <td>0.674551</td>\n",
       "      <td>-0.988528</td>\n",
       "      <td>-0.999972</td>\n",
       "      <td>-0.999719</td>\n",
       "      <td>-0.999803</td>\n",
       "      <td>-0.996898</td>\n",
       "      <td>-0.976781</td>\n",
       "      <td>-0.986754</td>\n",
       "      <td>-0.688176</td>\n",
       "      <td>-0.520514</td>\n",
       "      <td>-0.593165</td>\n",
       "      <td>0.272262</td>\n",
       "      <td>-0.056424</td>\n",
       "      <td>0.322283</td>\n",
       "      <td>-0.273292</td>\n",
       "      <td>0.037180</td>\n",
       "      <td>-0.133612</td>\n",
       "      <td>0.332487</td>\n",
       "      <td>-0.240491</td>\n",
       "      <td>0.348733</td>\n",
       "      <td>-0.195409</td>\n",
       "      <td>0.229436</td>\n",
       "      <td>-0.316816</td>\n",
       "      <td>-0.123889</td>\n",
       "      <td>-0.181137</td>\n",
       "      <td>0.608219</td>\n",
       "      <td>0.963532</td>\n",
       "      <td>-0.137105</td>\n",
       "      <td>0.102062</td>\n",
       "      <td>-0.999657</td>\n",
       "      <td>-0.993236</td>\n",
       "      <td>-0.995364</td>\n",
       "      <td>-0.999717</td>\n",
       "      <td>-0.993122</td>\n",
       "      <td>-0.995437</td>\n",
       "      <td>0.892401</td>\n",
       "      <td>-0.163796</td>\n",
       "      <td>0.094566</td>\n",
       "      <td>0.986770</td>\n",
       "      <td>-0.113205</td>\n",
       "      <td>0.102380</td>\n",
       "      <td>-0.400680</td>\n",
       "      <td>0.900984</td>\n",
       "      <td>-0.970297</td>\n",
       "      <td>-0.981673</td>\n",
       "      <td>-0.999776</td>\n",
       "      <td>-0.993233</td>\n",
       "      <td>-0.995457</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>-0.932007</td>\n",
       "      <td>-0.006656</td>\n",
       "      <td>0.038478</td>\n",
       "      <td>-0.070093</td>\n",
       "      <td>0.101417</td>\n",
       "      <td>-0.240595</td>\n",
       "      <td>0.240532</td>\n",
       "      <td>-0.241398</td>\n",
       "      <td>0.241869</td>\n",
       "      <td>-0.705701</td>\n",
       "      <td>0.714942</td>\n",
       "      <td>-0.723978</td>\n",
       "      <td>0.731848</td>\n",
       "      <td>-0.181065</td>\n",
       "      <td>0.337980</td>\n",
       "      <td>0.643413</td>\n",
       "      <td>0.073636</td>\n",
       "      <td>0.003104</td>\n",
       "      <td>-0.046013</td>\n",
       "      <td>-0.990743</td>\n",
       "      <td>-0.980956</td>\n",
       "      <td>-0.989687</td>\n",
       "      <td>-0.990883</td>\n",
       "      <td>-0.979300</td>\n",
       "      <td>-0.987238</td>\n",
       "      <td>-0.987077</td>\n",
       "      <td>-0.979068</td>\n",
       "      <td>-0.992257</td>\n",
       "      <td>0.988390</td>\n",
       "      <td>0.991808</td>\n",
       "      <td>0.988539</td>\n",
       "      <td>-0.988283</td>\n",
       "      <td>-0.999894</td>\n",
       "      <td>-0.999636</td>\n",
       "      <td>-0.999795</td>\n",
       "      <td>-0.987888</td>\n",
       "      <td>-0.980145</td>\n",
       "      <td>-0.981377</td>\n",
       "      <td>-0.753629</td>\n",
       "      <td>-0.673274</td>\n",
       "      <td>-0.723328</td>\n",
       "      <td>0.272382</td>\n",
       "      <td>0.055576</td>\n",
       "      <td>0.560580</td>\n",
       "      <td>0.481534</td>\n",
       "      <td>0.154099</td>\n",
       "      <td>-0.148111</td>\n",
       "      <td>0.362140</td>\n",
       "      <td>0.307030</td>\n",
       "      <td>0.336670</td>\n",
       "      <td>0.020751</td>\n",
       "      <td>0.396389</td>\n",
       "      <td>0.270745</td>\n",
       "      <td>-0.127649</td>\n",
       "      <td>-0.157126</td>\n",
       "      <td>-0.074822</td>\n",
       "      <td>-0.031698</td>\n",
       "      <td>-0.039997</td>\n",
       "      <td>-0.071371</td>\n",
       "      <td>-0.976294</td>\n",
       "      <td>-0.993536</td>\n",
       "      <td>-0.988410</td>\n",
       "      <td>-0.974924</td>\n",
       "      <td>-0.994096</td>\n",
       "      <td>-0.987714</td>\n",
       "      <td>-0.896075</td>\n",
       "      <td>-0.961977</td>\n",
       "      <td>-0.758573</td>\n",
       "      <td>0.840659</td>\n",
       "      <td>0.885984</td>\n",
       "      <td>0.828935</td>\n",
       "      <td>-0.976217</td>\n",
       "      <td>-0.999693</td>\n",
       "      <td>-0.999828</td>\n",
       "      <td>-0.999863</td>\n",
       "      <td>-0.973958</td>\n",
       "      <td>-0.995107</td>\n",
       "      <td>-0.986918</td>\n",
       "      <td>-0.260943</td>\n",
       "      <td>-1.000000</td>\n",
       "      <td>-0.293293</td>\n",
       "      <td>-0.104902</td>\n",
       "      <td>-0.044211</td>\n",
       "      <td>0.166262</td>\n",
       "      <td>-0.102845</td>\n",
       "      <td>0.042757</td>\n",
       "      <td>-0.144522</td>\n",
       "      <td>0.149647</td>\n",
       "      <td>0.184847</td>\n",
       "      <td>0.159862</td>\n",
       "      <td>-0.207029</td>\n",
       "      <td>0.190397</td>\n",
       "      <td>0.094101</td>\n",
       "      <td>-0.008846</td>\n",
       "      <td>0.044103</td>\n",
       "      <td>-0.349123</td>\n",
       "      <td>-0.108486</td>\n",
       "      <td>-0.042410</td>\n",
       "      <td>-0.055829</td>\n",
       "      <td>-0.988270</td>\n",
       "      <td>-0.995632</td>\n",
       "      <td>-0.991829</td>\n",
       "      <td>-0.987665</td>\n",
       "      <td>-0.995733</td>\n",
       "      <td>-0.991812</td>\n",
       "      <td>-0.994421</td>\n",
       "      <td>-0.993622</td>\n",
       "      <td>-0.988815</td>\n",
       "      <td>0.989087</td>\n",
       "      <td>0.997127</td>\n",
       "      <td>0.994143</td>\n",
       "      <td>-0.993484</td>\n",
       "      <td>-0.999886</td>\n",
       "      <td>-0.999980</td>\n",
       "      <td>-0.999918</td>\n",
       "      <td>-0.987045</td>\n",
       "      <td>-0.995427</td>\n",
       "      <td>-0.993117</td>\n",
       "      <td>-0.543635</td>\n",
       "      <td>-0.694139</td>\n",
       "      <td>-0.588410</td>\n",
       "      <td>-0.096686</td>\n",
       "      <td>0.035827</td>\n",
       "      <td>0.029453</td>\n",
       "      <td>0.058292</td>\n",
       "      <td>0.119251</td>\n",
       "      <td>-0.060083</td>\n",
       "      <td>0.084466</td>\n",
       "      <td>0.279313</td>\n",
       "      <td>0.245340</td>\n",
       "      <td>-0.310683</td>\n",
       "      <td>0.289735</td>\n",
       "      <td>0.122531</td>\n",
       "      <td>0.172437</td>\n",
       "      <td>0.069475</td>\n",
       "      <td>-0.284263</td>\n",
       "      <td>-0.987805</td>\n",
       "      <td>-0.990189</td>\n",
       "      <td>-0.990798</td>\n",
       "      <td>-0.987446</td>\n",
       "      <td>-0.996348</td>\n",
       "      <td>-0.987805</td>\n",
       "      <td>-0.999818</td>\n",
       "      <td>-0.990025</td>\n",
       "      <td>-0.583114</td>\n",
       "      <td>0.086279</td>\n",
       "      <td>-0.110584</td>\n",
       "      <td>0.319569</td>\n",
       "      <td>-0.290340</td>\n",
       "      <td>-0.987805</td>\n",
       "      <td>-0.990189</td>\n",
       "      <td>-0.990798</td>\n",
       "      <td>-0.987446</td>\n",
       "      <td>-0.996348</td>\n",
       "      <td>-0.987805</td>\n",
       "      <td>-0.999818</td>\n",
       "      <td>-0.990025</td>\n",
       "      <td>-0.583114</td>\n",
       "      <td>0.086279</td>\n",
       "      <td>-0.110584</td>\n",
       "      <td>0.319569</td>\n",
       "      <td>-0.290340</td>\n",
       "      <td>-0.989312</td>\n",
       "      <td>-0.990370</td>\n",
       "      <td>-0.990572</td>\n",
       "      <td>-0.988313</td>\n",
       "      <td>-0.993012</td>\n",
       "      <td>-0.989312</td>\n",
       "      <td>-0.999799</td>\n",
       "      <td>-0.990022</td>\n",
       "      <td>-0.794758</td>\n",
       "      <td>0.659570</td>\n",
       "      <td>-0.290077</td>\n",
       "      <td>-0.220866</td>\n",
       "      <td>-0.357722</td>\n",
       "      <td>-0.976262</td>\n",
       "      <td>-0.986051</td>\n",
       "      <td>-0.985328</td>\n",
       "      <td>-0.984665</td>\n",
       "      <td>-0.980023</td>\n",
       "      <td>-0.976262</td>\n",
       "      <td>-0.999640</td>\n",
       "      <td>-0.984982</td>\n",
       "      <td>-0.070838</td>\n",
       "      <td>-0.166366</td>\n",
       "      <td>-0.083204</td>\n",
       "      <td>0.167202</td>\n",
       "      <td>0.055410</td>\n",
       "      <td>-0.993455</td>\n",
       "      <td>-0.995091</td>\n",
       "      <td>-0.994859</td>\n",
       "      <td>-0.995360</td>\n",
       "      <td>-0.997652</td>\n",
       "      <td>-0.993455</td>\n",
       "      <td>-0.999955</td>\n",
       "      <td>-0.993988</td>\n",
       "      <td>-0.662914</td>\n",
       "      <td>0.362403</td>\n",
       "      <td>-0.126549</td>\n",
       "      <td>-0.297775</td>\n",
       "      <td>-0.022304</td>\n",
       "      <td>-0.993621</td>\n",
       "      <td>-0.972511</td>\n",
       "      <td>-0.983495</td>\n",
       "      <td>-0.996163</td>\n",
       "      <td>-0.979014</td>\n",
       "      <td>-0.985324</td>\n",
       "      <td>-0.994033</td>\n",
       "      <td>-0.972005</td>\n",
       "      <td>-0.983530</td>\n",
       "      <td>-0.998066</td>\n",
       "      <td>-0.978326</td>\n",
       "      <td>-0.983962</td>\n",
       "      <td>-0.997085</td>\n",
       "      <td>-0.989925</td>\n",
       "      <td>-0.990900</td>\n",
       "      <td>-0.985821</td>\n",
       "      <td>-0.999970</td>\n",
       "      <td>-0.999584</td>\n",
       "      <td>-0.999702</td>\n",
       "      <td>-0.989408</td>\n",
       "      <td>-0.977242</td>\n",
       "      <td>-0.984109</td>\n",
       "      <td>-1.000000</td>\n",
       "      <td>-0.815786</td>\n",
       "      <td>-0.813513</td>\n",
       "      <td>-0.933333</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>0.238109</td>\n",
       "      <td>-0.027745</td>\n",
       "      <td>0.177594</td>\n",
       "      <td>-0.727294</td>\n",
       "      <td>-0.966128</td>\n",
       "      <td>0.135565</td>\n",
       "      <td>-0.087110</td>\n",
       "      <td>-0.029868</td>\n",
       "      <td>-0.297866</td>\n",
       "      <td>-0.999989</td>\n",
       "      <td>-0.999962</td>\n",
       "      <td>-0.999815</td>\n",
       "      <td>-0.999847</td>\n",
       "      <td>-0.999939</td>\n",
       "      <td>-0.999923</td>\n",
       "      <td>-0.999923</td>\n",
       "      <td>-0.999997</td>\n",
       "      <td>-0.999982</td>\n",
       "      <td>-0.999802</td>\n",
       "      <td>-0.999947</td>\n",
       "      <td>-0.999948</td>\n",
       "      <td>-0.999973</td>\n",
       "      <td>-0.999873</td>\n",
       "      <td>-0.999667</td>\n",
       "      <td>-0.999715</td>\n",
       "      <td>-0.999660</td>\n",
       "      <td>-0.999817</td>\n",
       "      <td>-0.999644</td>\n",
       "      <td>-0.999668</td>\n",
       "      <td>-0.999616</td>\n",
       "      <td>-0.999880</td>\n",
       "      <td>-0.999612</td>\n",
       "      <td>-0.999623</td>\n",
       "      <td>-0.999647</td>\n",
       "      <td>-0.999718</td>\n",
       "      <td>-0.999591</td>\n",
       "      <td>-0.999775</td>\n",
       "      <td>-0.999752</td>\n",
       "      <td>-0.999720</td>\n",
       "      <td>-0.999718</td>\n",
       "      <td>-0.999798</td>\n",
       "      <td>-0.999756</td>\n",
       "      <td>-0.999629</td>\n",
       "      <td>-0.999686</td>\n",
       "      <td>-0.999919</td>\n",
       "      <td>-0.999724</td>\n",
       "      <td>-0.999778</td>\n",
       "      <td>-0.999742</td>\n",
       "      <td>-0.999756</td>\n",
       "      <td>-0.999705</td>\n",
       "      <td>-0.999800</td>\n",
       "      <td>-0.990994</td>\n",
       "      <td>-0.981642</td>\n",
       "      <td>-0.987514</td>\n",
       "      <td>-0.991249</td>\n",
       "      <td>-0.981415</td>\n",
       "      <td>-0.989828</td>\n",
       "      <td>-0.987751</td>\n",
       "      <td>-0.981091</td>\n",
       "      <td>-0.987854</td>\n",
       "      <td>-0.995166</td>\n",
       "      <td>-0.985351</td>\n",
       "      <td>-0.993827</td>\n",
       "      <td>-0.997487</td>\n",
       "      <td>-0.998571</td>\n",
       "      <td>-0.997565</td>\n",
       "      <td>-0.987706</td>\n",
       "      <td>-0.999894</td>\n",
       "      <td>-0.999637</td>\n",
       "      <td>-0.999795</td>\n",
       "      <td>-0.980960</td>\n",
       "      <td>-0.984811</td>\n",
       "      <td>-0.981632</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>-0.16</td>\n",
       "      <td>-0.48</td>\n",
       "      <td>-0.28</td>\n",
       "      <td>0.014295</td>\n",
       "      <td>-0.168418</td>\n",
       "      <td>0.169826</td>\n",
       "      <td>-0.608091</td>\n",
       "      <td>-0.940342</td>\n",
       "      <td>-0.588128</td>\n",
       "      <td>-0.912985</td>\n",
       "      <td>-0.766877</td>\n",
       "      <td>-0.976747</td>\n",
       "      <td>-0.999994</td>\n",
       "      <td>-0.999945</td>\n",
       "      <td>-0.999827</td>\n",
       "      <td>-0.999841</td>\n",
       "      <td>-0.999922</td>\n",
       "      <td>-0.999906</td>\n",
       "      <td>-0.999874</td>\n",
       "      <td>-0.999997</td>\n",
       "      <td>-0.999963</td>\n",
       "      <td>-0.999804</td>\n",
       "      <td>-0.999929</td>\n",
       "      <td>-0.999878</td>\n",
       "      <td>-0.999907</td>\n",
       "      <td>-0.999844</td>\n",
       "      <td>-0.999820</td>\n",
       "      <td>-0.999744</td>\n",
       "      <td>-0.999559</td>\n",
       "      <td>-0.999836</td>\n",
       "      <td>-0.999673</td>\n",
       "      <td>-0.999626</td>\n",
       "      <td>-0.999704</td>\n",
       "      <td>-0.999993</td>\n",
       "      <td>-0.999732</td>\n",
       "      <td>-0.999609</td>\n",
       "      <td>-0.999613</td>\n",
       "      <td>-0.999744</td>\n",
       "      <td>-0.999613</td>\n",
       "      <td>-0.999773</td>\n",
       "      <td>-0.999870</td>\n",
       "      <td>-0.999782</td>\n",
       "      <td>-0.999740</td>\n",
       "      <td>-0.999781</td>\n",
       "      <td>-0.999758</td>\n",
       "      <td>-0.999626</td>\n",
       "      <td>-0.999483</td>\n",
       "      <td>-0.999996</td>\n",
       "      <td>-0.999800</td>\n",
       "      <td>-0.999792</td>\n",
       "      <td>-0.999725</td>\n",
       "      <td>-0.999509</td>\n",
       "      <td>-0.999775</td>\n",
       "      <td>-0.999781</td>\n",
       "      <td>-0.975448</td>\n",
       "      <td>-0.993724</td>\n",
       "      <td>-0.986597</td>\n",
       "      <td>-0.976637</td>\n",
       "      <td>-0.993420</td>\n",
       "      <td>-0.989443</td>\n",
       "      <td>-0.977138</td>\n",
       "      <td>-0.993743</td>\n",
       "      <td>-0.984987</td>\n",
       "      <td>-0.974915</td>\n",
       "      <td>-0.995013</td>\n",
       "      <td>-0.992034</td>\n",
       "      <td>-0.988312</td>\n",
       "      <td>-0.997235</td>\n",
       "      <td>-0.993627</td>\n",
       "      <td>-0.985992</td>\n",
       "      <td>-0.999673</td>\n",
       "      <td>-0.999962</td>\n",
       "      <td>-0.999890</td>\n",
       "      <td>-0.985410</td>\n",
       "      <td>-0.995384</td>\n",
       "      <td>-0.992551</td>\n",
       "      <td>-0.590987</td>\n",
       "      <td>-0.808287</td>\n",
       "      <td>-0.751080</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>-0.870968</td>\n",
       "      <td>-1.000000</td>\n",
       "      <td>-0.178281</td>\n",
       "      <td>-0.007247</td>\n",
       "      <td>-0.143121</td>\n",
       "      <td>0.087702</td>\n",
       "      <td>-0.245954</td>\n",
       "      <td>-0.437311</td>\n",
       "      <td>-0.811743</td>\n",
       "      <td>-0.402077</td>\n",
       "      <td>-0.763594</td>\n",
       "      <td>-0.999680</td>\n",
       "      <td>-0.999829</td>\n",
       "      <td>-0.999914</td>\n",
       "      <td>-0.999933</td>\n",
       "      <td>-0.999849</td>\n",
       "      <td>-0.999841</td>\n",
       "      <td>-0.999864</td>\n",
       "      <td>-0.999862</td>\n",
       "      <td>-0.999675</td>\n",
       "      <td>-0.999905</td>\n",
       "      <td>-0.999832</td>\n",
       "      <td>-0.999863</td>\n",
       "      <td>-0.999676</td>\n",
       "      <td>-0.999904</td>\n",
       "      <td>-0.999964</td>\n",
       "      <td>-0.999988</td>\n",
       "      <td>-0.999990</td>\n",
       "      <td>-0.999994</td>\n",
       "      <td>-0.999973</td>\n",
       "      <td>-0.999944</td>\n",
       "      <td>-0.999987</td>\n",
       "      <td>-0.999993</td>\n",
       "      <td>-0.999962</td>\n",
       "      <td>-0.999989</td>\n",
       "      <td>-0.999967</td>\n",
       "      <td>-0.999988</td>\n",
       "      <td>-0.999961</td>\n",
       "      <td>-0.999986</td>\n",
       "      <td>-0.999912</td>\n",
       "      <td>-0.999934</td>\n",
       "      <td>-0.999935</td>\n",
       "      <td>-0.999958</td>\n",
       "      <td>-0.999952</td>\n",
       "      <td>-0.999909</td>\n",
       "      <td>-0.999889</td>\n",
       "      <td>-0.999989</td>\n",
       "      <td>-0.999898</td>\n",
       "      <td>-0.999923</td>\n",
       "      <td>-0.999947</td>\n",
       "      <td>-0.999933</td>\n",
       "      <td>-0.999893</td>\n",
       "      <td>-0.999956</td>\n",
       "      <td>-0.987179</td>\n",
       "      <td>-0.991405</td>\n",
       "      <td>-0.985241</td>\n",
       "      <td>-0.995071</td>\n",
       "      <td>-0.989268</td>\n",
       "      <td>-0.987179</td>\n",
       "      <td>-0.999882</td>\n",
       "      <td>-0.987960</td>\n",
       "      <td>-0.907014</td>\n",
       "      <td>-0.894737</td>\n",
       "      <td>0.277458</td>\n",
       "      <td>-0.630062</td>\n",
       "      <td>-0.880125</td>\n",
       "      <td>-0.989165</td>\n",
       "      <td>-0.991337</td>\n",
       "      <td>-0.988135</td>\n",
       "      <td>-0.993592</td>\n",
       "      <td>-0.999886</td>\n",
       "      <td>-0.989165</td>\n",
       "      <td>-0.999845</td>\n",
       "      <td>-0.987029</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>-0.904762</td>\n",
       "      <td>0.661975</td>\n",
       "      <td>-0.725887</td>\n",
       "      <td>-0.926663</td>\n",
       "      <td>-0.989255</td>\n",
       "      <td>-0.986019</td>\n",
       "      <td>-0.984533</td>\n",
       "      <td>-0.991701</td>\n",
       "      <td>-0.995857</td>\n",
       "      <td>-0.989255</td>\n",
       "      <td>-0.999854</td>\n",
       "      <td>-0.993256</td>\n",
       "      <td>-0.736521</td>\n",
       "      <td>-0.794872</td>\n",
       "      <td>-0.212429</td>\n",
       "      <td>-0.564868</td>\n",
       "      <td>-0.874594</td>\n",
       "      <td>-0.995034</td>\n",
       "      <td>-0.995308</td>\n",
       "      <td>-0.994868</td>\n",
       "      <td>-0.996133</td>\n",
       "      <td>-0.995863</td>\n",
       "      <td>-0.995034</td>\n",
       "      <td>-0.999973</td>\n",
       "      <td>-0.993834</td>\n",
       "      <td>-1.000000</td>\n",
       "      <td>-0.555556</td>\n",
       "      <td>0.440079</td>\n",
       "      <td>-0.404427</td>\n",
       "      <td>-0.761847</td>\n",
       "      <td>-0.118559</td>\n",
       "      <td>0.177899</td>\n",
       "      <td>0.100699</td>\n",
       "      <td>0.808529</td>\n",
       "      <td>-0.849230</td>\n",
       "      <td>0.180610</td>\n",
       "      <td>-0.042271</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0.039785</td>\n",
       "      <td>-0.011809</td>\n",
       "      <td>-0.028916</td>\n",
       "      <td>-0.996194</td>\n",
       "      <td>-0.988569</td>\n",
       "      <td>-0.993256</td>\n",
       "      <td>-0.996994</td>\n",
       "      <td>-0.988526</td>\n",
       "      <td>-0.993135</td>\n",
       "      <td>-0.798477</td>\n",
       "      <td>-0.752778</td>\n",
       "      <td>-0.722186</td>\n",
       "      <td>0.834002</td>\n",
       "      <td>0.705008</td>\n",
       "      <td>0.673208</td>\n",
       "      <td>-0.990389</td>\n",
       "      <td>-0.999978</td>\n",
       "      <td>-0.999783</td>\n",
       "      <td>-0.999815</td>\n",
       "      <td>-0.996949</td>\n",
       "      <td>-0.989437</td>\n",
       "      <td>-0.992440</td>\n",
       "      <td>-0.715103</td>\n",
       "      <td>-0.860988</td>\n",
       "      <td>-0.916429</td>\n",
       "      <td>0.062816</td>\n",
       "      <td>0.082940</td>\n",
       "      <td>0.200566</td>\n",
       "      <td>-0.378262</td>\n",
       "      <td>0.090063</td>\n",
       "      <td>-0.209264</td>\n",
       "      <td>0.316530</td>\n",
       "      <td>-0.090862</td>\n",
       "      <td>0.396383</td>\n",
       "      <td>-0.353643</td>\n",
       "      <td>0.503754</td>\n",
       "      <td>-0.490389</td>\n",
       "      <td>-0.304759</td>\n",
       "      <td>-0.362708</td>\n",
       "      <td>0.506602</td>\n",
       "      <td>0.964269</td>\n",
       "      <td>-0.139065</td>\n",
       "      <td>0.100028</td>\n",
       "      <td>-0.997302</td>\n",
       "      <td>-0.982395</td>\n",
       "      <td>-0.985890</td>\n",
       "      <td>-0.997251</td>\n",
       "      <td>-0.982317</td>\n",
       "      <td>-0.986065</td>\n",
       "      <td>0.893817</td>\n",
       "      <td>-0.163796</td>\n",
       "      <td>0.093425</td>\n",
       "      <td>0.986821</td>\n",
       "      <td>-0.119638</td>\n",
       "      <td>0.095371</td>\n",
       "      <td>-0.399355</td>\n",
       "      <td>0.902929</td>\n",
       "      <td>-0.969326</td>\n",
       "      <td>-0.982420</td>\n",
       "      <td>-0.997211</td>\n",
       "      <td>-0.983432</td>\n",
       "      <td>-0.987471</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>-0.624951</td>\n",
       "      <td>-0.073126</td>\n",
       "      <td>0.085786</td>\n",
       "      <td>-0.098715</td>\n",
       "      <td>0.111885</td>\n",
       "      <td>-0.202103</td>\n",
       "      <td>0.196586</td>\n",
       "      <td>-0.192326</td>\n",
       "      <td>0.187975</td>\n",
       "      <td>-0.390101</td>\n",
       "      <td>0.391096</td>\n",
       "      <td>-0.392072</td>\n",
       "      <td>0.392272</td>\n",
       "      <td>-0.991307</td>\n",
       "      <td>-0.968689</td>\n",
       "      <td>0.984255</td>\n",
       "      <td>0.077321</td>\n",
       "      <td>0.020058</td>\n",
       "      <td>-0.046734</td>\n",
       "      <td>-0.992697</td>\n",
       "      <td>-0.987553</td>\n",
       "      <td>-0.993498</td>\n",
       "      <td>-0.994216</td>\n",
       "      <td>-0.985717</td>\n",
       "      <td>-0.991483</td>\n",
       "      <td>-0.987077</td>\n",
       "      <td>-0.991786</td>\n",
       "      <td>-0.989769</td>\n",
       "      <td>0.988390</td>\n",
       "      <td>0.992544</td>\n",
       "      <td>0.993218</td>\n",
       "      <td>-0.993004</td>\n",
       "      <td>-0.999924</td>\n",
       "      <td>-0.999803</td>\n",
       "      <td>-0.999883</td>\n",
       "      <td>-0.994721</td>\n",
       "      <td>-0.987033</td>\n",
       "      <td>-0.988360</td>\n",
       "      <td>-0.820804</td>\n",
       "      <td>-0.754968</td>\n",
       "      <td>-0.800436</td>\n",
       "      <td>0.141504</td>\n",
       "      <td>0.139564</td>\n",
       "      <td>0.554214</td>\n",
       "      <td>0.289503</td>\n",
       "      <td>0.171830</td>\n",
       "      <td>-0.230236</td>\n",
       "      <td>0.254661</td>\n",
       "      <td>0.357817</td>\n",
       "      <td>0.424995</td>\n",
       "      <td>-0.192279</td>\n",
       "      <td>0.508560</td>\n",
       "      <td>0.447029</td>\n",
       "      <td>-0.135089</td>\n",
       "      <td>-0.131000</td>\n",
       "      <td>0.404138</td>\n",
       "      <td>-0.043410</td>\n",
       "      <td>-0.032667</td>\n",
       "      <td>-0.078227</td>\n",
       "      <td>-0.991387</td>\n",
       "      <td>-0.992391</td>\n",
       "      <td>-0.989400</td>\n",
       "      <td>-0.991592</td>\n",
       "      <td>-0.993116</td>\n",
       "      <td>-0.990965</td>\n",
       "      <td>-0.910272</td>\n",
       "      <td>-0.959580</td>\n",
       "      <td>-0.758573</td>\n",
       "      <td>0.841103</td>\n",
       "      <td>0.885984</td>\n",
       "      <td>0.826634</td>\n",
       "      <td>-0.982233</td>\n",
       "      <td>-0.999793</td>\n",
       "      <td>-0.999902</td>\n",
       "      <td>-0.999905</td>\n",
       "      <td>-0.991552</td>\n",
       "      <td>-0.994128</td>\n",
       "      <td>-0.994669</td>\n",
       "      <td>-0.930551</td>\n",
       "      <td>-0.830620</td>\n",
       "      <td>-0.570710</td>\n",
       "      <td>0.111629</td>\n",
       "      <td>-0.244338</td>\n",
       "      <td>0.314597</td>\n",
       "      <td>-0.151341</td>\n",
       "      <td>0.054867</td>\n",
       "      <td>-0.141803</td>\n",
       "      <td>0.112881</td>\n",
       "      <td>0.239203</td>\n",
       "      <td>0.239392</td>\n",
       "      <td>-0.246512</td>\n",
       "      <td>0.169983</td>\n",
       "      <td>0.111054</td>\n",
       "      <td>0.211908</td>\n",
       "      <td>0.141827</td>\n",
       "      <td>-0.723867</td>\n",
       "      <td>-0.091170</td>\n",
       "      <td>-0.036333</td>\n",
       "      <td>-0.060465</td>\n",
       "      <td>-0.990927</td>\n",
       "      <td>-0.996641</td>\n",
       "      <td>-0.993626</td>\n",
       "      <td>-0.991037</td>\n",
       "      <td>-0.996965</td>\n",
       "      <td>-0.994236</td>\n",
       "      <td>-0.994684</td>\n",
       "      <td>-0.993622</td>\n",
       "      <td>-0.988815</td>\n",
       "      <td>0.989087</td>\n",
       "      <td>0.998136</td>\n",
       "      <td>0.994143</td>\n",
       "      <td>-0.995565</td>\n",
       "      <td>-0.999924</td>\n",
       "      <td>-0.999986</td>\n",
       "      <td>-0.999941</td>\n",
       "      <td>-0.990823</td>\n",
       "      <td>-0.997078</td>\n",
       "      <td>-0.995746</td>\n",
       "      <td>-0.562031</td>\n",
       "      <td>-0.753252</td>\n",
       "      <td>-0.661434</td>\n",
       "      <td>0.125102</td>\n",
       "      <td>-0.087236</td>\n",
       "      <td>0.039850</td>\n",
       "      <td>0.300561</td>\n",
       "      <td>0.117641</td>\n",
       "      <td>-0.044660</td>\n",
       "      <td>0.058701</td>\n",
       "      <td>0.273300</td>\n",
       "      <td>0.315490</td>\n",
       "      <td>-0.282010</td>\n",
       "      <td>0.251203</td>\n",
       "      <td>0.247187</td>\n",
       "      <td>0.175717</td>\n",
       "      <td>0.137479</td>\n",
       "      <td>-0.275518</td>\n",
       "      <td>-0.989940</td>\n",
       "      <td>-0.988966</td>\n",
       "      <td>-0.989351</td>\n",
       "      <td>-0.987446</td>\n",
       "      <td>-0.997687</td>\n",
       "      <td>-0.989940</td>\n",
       "      <td>-0.999849</td>\n",
       "      <td>-0.988460</td>\n",
       "      <td>-0.572296</td>\n",
       "      <td>-0.044082</td>\n",
       "      <td>0.012440</td>\n",
       "      <td>0.087376</td>\n",
       "      <td>0.045674</td>\n",
       "      <td>-0.989940</td>\n",
       "      <td>-0.988966</td>\n",
       "      <td>-0.989351</td>\n",
       "      <td>-0.987446</td>\n",
       "      <td>-0.997687</td>\n",
       "      <td>-0.989940</td>\n",
       "      <td>-0.999849</td>\n",
       "      <td>-0.988460</td>\n",
       "      <td>-0.572296</td>\n",
       "      <td>-0.044082</td>\n",
       "      <td>0.012440</td>\n",
       "      <td>0.087376</td>\n",
       "      <td>0.045674</td>\n",
       "      <td>-0.993860</td>\n",
       "      <td>-0.993354</td>\n",
       "      <td>-0.993116</td>\n",
       "      <td>-0.993053</td>\n",
       "      <td>-0.993012</td>\n",
       "      <td>-0.993860</td>\n",
       "      <td>-0.999893</td>\n",
       "      <td>-0.991774</td>\n",
       "      <td>-0.792195</td>\n",
       "      <td>0.671134</td>\n",
       "      <td>-0.276814</td>\n",
       "      <td>-0.314598</td>\n",
       "      <td>-0.283585</td>\n",
       "      <td>-0.982005</td>\n",
       "      <td>-0.987351</td>\n",
       "      <td>-0.986436</td>\n",
       "      <td>-0.989926</td>\n",
       "      <td>-0.989178</td>\n",
       "      <td>-0.982005</td>\n",
       "      <td>-0.999768</td>\n",
       "      <td>-0.985439</td>\n",
       "      <td>-0.086599</td>\n",
       "      <td>-0.143887</td>\n",
       "      <td>-0.087854</td>\n",
       "      <td>0.210618</td>\n",
       "      <td>-0.062199</td>\n",
       "      <td>-0.995554</td>\n",
       "      <td>-0.995267</td>\n",
       "      <td>-0.995305</td>\n",
       "      <td>-0.995360</td>\n",
       "      <td>-0.997652</td>\n",
       "      <td>-0.995554</td>\n",
       "      <td>-0.999970</td>\n",
       "      <td>-0.995001</td>\n",
       "      <td>-0.683016</td>\n",
       "      <td>0.615219</td>\n",
       "      <td>-0.240517</td>\n",
       "      <td>-0.398727</td>\n",
       "      <td>-0.074283</td>\n",
       "      <td>-0.995517</td>\n",
       "      <td>-0.983570</td>\n",
       "      <td>-0.991271</td>\n",
       "      <td>-0.996162</td>\n",
       "      <td>-0.989917</td>\n",
       "      <td>-0.993689</td>\n",
       "      <td>-0.994483</td>\n",
       "      <td>-0.983026</td>\n",
       "      <td>-0.990373</td>\n",
       "      <td>-0.997311</td>\n",
       "      <td>-0.992651</td>\n",
       "      <td>-0.993509</td>\n",
       "      <td>-0.994423</td>\n",
       "      <td>-0.990261</td>\n",
       "      <td>-0.996592</td>\n",
       "      <td>-0.992812</td>\n",
       "      <td>-0.999976</td>\n",
       "      <td>-0.999854</td>\n",
       "      <td>-0.999896</td>\n",
       "      <td>-0.991282</td>\n",
       "      <td>-0.991902</td>\n",
       "      <td>-0.990877</td>\n",
       "      <td>-1.000000</td>\n",
       "      <td>-0.870398</td>\n",
       "      <td>-0.944190</td>\n",
       "      <td>-1.000000</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>0.145592</td>\n",
       "      <td>0.110153</td>\n",
       "      <td>0.276419</td>\n",
       "      <td>-0.599216</td>\n",
       "      <td>-0.909159</td>\n",
       "      <td>-0.508913</td>\n",
       "      <td>-0.804686</td>\n",
       "      <td>-0.536337</td>\n",
       "      <td>-0.776124</td>\n",
       "      <td>-0.999988</td>\n",
       "      <td>-0.999978</td>\n",
       "      <td>-0.999834</td>\n",
       "      <td>-0.999871</td>\n",
       "      <td>-0.999992</td>\n",
       "      <td>-0.999950</td>\n",
       "      <td>-0.999964</td>\n",
       "      <td>-0.999996</td>\n",
       "      <td>-0.999986</td>\n",
       "      <td>-0.999825</td>\n",
       "      <td>-0.999990</td>\n",
       "      <td>-0.999975</td>\n",
       "      <td>-0.999978</td>\n",
       "      <td>-0.999911</td>\n",
       "      <td>-0.999906</td>\n",
       "      <td>-0.999750</td>\n",
       "      <td>-0.999946</td>\n",
       "      <td>-0.999939</td>\n",
       "      <td>-0.999562</td>\n",
       "      <td>-0.999888</td>\n",
       "      <td>-0.999513</td>\n",
       "      <td>-0.999866</td>\n",
       "      <td>-0.999857</td>\n",
       "      <td>-0.999935</td>\n",
       "      <td>-0.999671</td>\n",
       "      <td>-0.999649</td>\n",
       "      <td>-0.999858</td>\n",
       "      <td>-0.999873</td>\n",
       "      <td>-0.999920</td>\n",
       "      <td>-0.999770</td>\n",
       "      <td>-0.999810</td>\n",
       "      <td>-0.999929</td>\n",
       "      <td>-0.999862</td>\n",
       "      <td>-0.999666</td>\n",
       "      <td>-0.999681</td>\n",
       "      <td>-0.999985</td>\n",
       "      <td>-0.999900</td>\n",
       "      <td>-0.999884</td>\n",
       "      <td>-0.999837</td>\n",
       "      <td>-0.999774</td>\n",
       "      <td>-0.999890</td>\n",
       "      <td>-0.999921</td>\n",
       "      <td>-0.994447</td>\n",
       "      <td>-0.988727</td>\n",
       "      <td>-0.991302</td>\n",
       "      <td>-0.991378</td>\n",
       "      <td>-0.986927</td>\n",
       "      <td>-0.993802</td>\n",
       "      <td>-0.989431</td>\n",
       "      <td>-0.987145</td>\n",
       "      <td>-0.993922</td>\n",
       "      <td>-0.993405</td>\n",
       "      <td>-0.987874</td>\n",
       "      <td>-0.994116</td>\n",
       "      <td>-0.997907</td>\n",
       "      <td>-0.999766</td>\n",
       "      <td>-0.965392</td>\n",
       "      <td>-0.993127</td>\n",
       "      <td>-0.999924</td>\n",
       "      <td>-0.999803</td>\n",
       "      <td>-0.999883</td>\n",
       "      <td>-0.990915</td>\n",
       "      <td>-0.990731</td>\n",
       "      <td>-0.992552</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>-0.12</td>\n",
       "      <td>-0.56</td>\n",
       "      <td>-0.28</td>\n",
       "      <td>-0.058120</td>\n",
       "      <td>-0.073812</td>\n",
       "      <td>0.281904</td>\n",
       "      <td>-0.274417</td>\n",
       "      <td>-0.772577</td>\n",
       "      <td>-0.450088</td>\n",
       "      <td>-0.829635</td>\n",
       "      <td>-0.550439</td>\n",
       "      <td>-0.898202</td>\n",
       "      <td>-0.999998</td>\n",
       "      <td>-0.999966</td>\n",
       "      <td>-0.999843</td>\n",
       "      <td>-0.999865</td>\n",
       "      <td>-0.999996</td>\n",
       "      <td>-0.999930</td>\n",
       "      <td>-0.999942</td>\n",
       "      <td>-0.999999</td>\n",
       "      <td>-0.999978</td>\n",
       "      <td>-0.999827</td>\n",
       "      <td>-0.999988</td>\n",
       "      <td>-0.999945</td>\n",
       "      <td>-0.999925</td>\n",
       "      <td>-0.999902</td>\n",
       "      <td>-0.999895</td>\n",
       "      <td>-0.999797</td>\n",
       "      <td>-0.999888</td>\n",
       "      <td>-0.999903</td>\n",
       "      <td>-0.999687</td>\n",
       "      <td>-0.999845</td>\n",
       "      <td>-0.999693</td>\n",
       "      <td>-1.000000</td>\n",
       "      <td>-0.999798</td>\n",
       "      <td>-0.999881</td>\n",
       "      <td>-0.999718</td>\n",
       "      <td>-0.999736</td>\n",
       "      <td>-0.999806</td>\n",
       "      <td>-0.999856</td>\n",
       "      <td>-0.999884</td>\n",
       "      <td>-0.999722</td>\n",
       "      <td>-0.999841</td>\n",
       "      <td>-0.999937</td>\n",
       "      <td>-0.999856</td>\n",
       "      <td>-0.999735</td>\n",
       "      <td>-0.999199</td>\n",
       "      <td>-0.999662</td>\n",
       "      <td>-0.999754</td>\n",
       "      <td>-0.999921</td>\n",
       "      <td>-0.999832</td>\n",
       "      <td>-0.999202</td>\n",
       "      <td>-0.999825</td>\n",
       "      <td>-0.999918</td>\n",
       "      <td>-0.987125</td>\n",
       "      <td>-0.993611</td>\n",
       "      <td>-0.987033</td>\n",
       "      <td>-0.992805</td>\n",
       "      <td>-0.991667</td>\n",
       "      <td>-0.990557</td>\n",
       "      <td>-0.990273</td>\n",
       "      <td>-0.993497</td>\n",
       "      <td>-0.986483</td>\n",
       "      <td>-0.994926</td>\n",
       "      <td>-0.991829</td>\n",
       "      <td>-0.992946</td>\n",
       "      <td>-0.989701</td>\n",
       "      <td>-0.994346</td>\n",
       "      <td>-0.993135</td>\n",
       "      <td>-0.990327</td>\n",
       "      <td>-0.999946</td>\n",
       "      <td>-0.999951</td>\n",
       "      <td>-0.999905</td>\n",
       "      <td>-0.992751</td>\n",
       "      <td>-0.996280</td>\n",
       "      <td>-0.990224</td>\n",
       "      <td>-0.723666</td>\n",
       "      <td>-0.803754</td>\n",
       "      <td>-0.817286</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>-1.000000</td>\n",
       "      <td>-0.806452</td>\n",
       "      <td>0.231536</td>\n",
       "      <td>-0.110076</td>\n",
       "      <td>-0.087329</td>\n",
       "      <td>-0.572698</td>\n",
       "      <td>-0.870371</td>\n",
       "      <td>-0.139809</td>\n",
       "      <td>-0.540050</td>\n",
       "      <td>-0.389158</td>\n",
       "      <td>-0.752506</td>\n",
       "      <td>-0.999964</td>\n",
       "      <td>-0.999891</td>\n",
       "      <td>-0.999946</td>\n",
       "      <td>-0.999974</td>\n",
       "      <td>-0.999879</td>\n",
       "      <td>-0.999903</td>\n",
       "      <td>-0.999834</td>\n",
       "      <td>-0.999893</td>\n",
       "      <td>-0.999950</td>\n",
       "      <td>-0.999947</td>\n",
       "      <td>-0.999878</td>\n",
       "      <td>-0.999860</td>\n",
       "      <td>-0.999948</td>\n",
       "      <td>-0.999947</td>\n",
       "      <td>-0.999945</td>\n",
       "      <td>-0.999989</td>\n",
       "      <td>-0.999992</td>\n",
       "      <td>-0.999993</td>\n",
       "      <td>-0.999986</td>\n",
       "      <td>-0.999955</td>\n",
       "      <td>-0.999990</td>\n",
       "      <td>-0.999988</td>\n",
       "      <td>-0.999947</td>\n",
       "      <td>-0.999991</td>\n",
       "      <td>-0.999980</td>\n",
       "      <td>-0.999988</td>\n",
       "      <td>-0.999948</td>\n",
       "      <td>-0.999988</td>\n",
       "      <td>-0.999917</td>\n",
       "      <td>-0.999968</td>\n",
       "      <td>-0.999957</td>\n",
       "      <td>-0.999956</td>\n",
       "      <td>-0.999949</td>\n",
       "      <td>-0.999880</td>\n",
       "      <td>-0.999879</td>\n",
       "      <td>-0.999950</td>\n",
       "      <td>-0.999911</td>\n",
       "      <td>-0.999943</td>\n",
       "      <td>-0.999937</td>\n",
       "      <td>-0.999910</td>\n",
       "      <td>-0.999908</td>\n",
       "      <td>-0.999952</td>\n",
       "      <td>-0.986903</td>\n",
       "      <td>-0.989686</td>\n",
       "      <td>-0.983171</td>\n",
       "      <td>-0.993031</td>\n",
       "      <td>-0.998079</td>\n",
       "      <td>-0.986903</td>\n",
       "      <td>-0.999860</td>\n",
       "      <td>-0.981942</td>\n",
       "      <td>-0.907014</td>\n",
       "      <td>-1.000000</td>\n",
       "      <td>0.096998</td>\n",
       "      <td>-0.478367</td>\n",
       "      <td>-0.756585</td>\n",
       "      <td>-0.992654</td>\n",
       "      <td>-0.992170</td>\n",
       "      <td>-0.989917</td>\n",
       "      <td>-0.994868</td>\n",
       "      <td>-0.995559</td>\n",
       "      <td>-0.992654</td>\n",
       "      <td>-0.999894</td>\n",
       "      <td>-0.988427</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.680038</td>\n",
       "      <td>-0.702305</td>\n",
       "      <td>-0.907781</td>\n",
       "      <td>-0.989413</td>\n",
       "      <td>-0.987827</td>\n",
       "      <td>-0.987057</td>\n",
       "      <td>-0.987801</td>\n",
       "      <td>-0.996334</td>\n",
       "      <td>-0.989413</td>\n",
       "      <td>-0.999876</td>\n",
       "      <td>-0.989153</td>\n",
       "      <td>-0.720891</td>\n",
       "      <td>-1.000000</td>\n",
       "      <td>-0.043398</td>\n",
       "      <td>-0.257142</td>\n",
       "      <td>-0.516341</td>\n",
       "      <td>-0.995224</td>\n",
       "      <td>-0.995417</td>\n",
       "      <td>-0.995951</td>\n",
       "      <td>-0.995346</td>\n",
       "      <td>-0.995728</td>\n",
       "      <td>-0.995224</td>\n",
       "      <td>-0.999974</td>\n",
       "      <td>-0.995305</td>\n",
       "      <td>-0.955696</td>\n",
       "      <td>-0.936508</td>\n",
       "      <td>0.430891</td>\n",
       "      <td>-0.138373</td>\n",
       "      <td>-0.491604</td>\n",
       "      <td>-0.036788</td>\n",
       "      <td>-0.012892</td>\n",
       "      <td>0.640011</td>\n",
       "      <td>-0.485366</td>\n",
       "      <td>-0.848947</td>\n",
       "      <td>0.181907</td>\n",
       "      <td>-0.040826</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0.038758</td>\n",
       "      <td>-0.002289</td>\n",
       "      <td>-0.023863</td>\n",
       "      <td>-0.998241</td>\n",
       "      <td>-0.986774</td>\n",
       "      <td>-0.993115</td>\n",
       "      <td>-0.998216</td>\n",
       "      <td>-0.986479</td>\n",
       "      <td>-0.993825</td>\n",
       "      <td>-0.801982</td>\n",
       "      <td>-0.746505</td>\n",
       "      <td>-0.717858</td>\n",
       "      <td>0.838581</td>\n",
       "      <td>0.705854</td>\n",
       "      <td>0.673208</td>\n",
       "      <td>-0.995057</td>\n",
       "      <td>-0.999992</td>\n",
       "      <td>-0.999882</td>\n",
       "      <td>-0.999908</td>\n",
       "      <td>-0.997772</td>\n",
       "      <td>-0.987726</td>\n",
       "      <td>-0.995109</td>\n",
       "      <td>-0.836774</td>\n",
       "      <td>-0.589200</td>\n",
       "      <td>-0.773771</td>\n",
       "      <td>0.312105</td>\n",
       "      <td>-0.095254</td>\n",
       "      <td>0.194399</td>\n",
       "      <td>-0.007998</td>\n",
       "      <td>0.266740</td>\n",
       "      <td>-0.318965</td>\n",
       "      <td>0.409731</td>\n",
       "      <td>-0.224589</td>\n",
       "      <td>0.520354</td>\n",
       "      <td>-0.319167</td>\n",
       "      <td>0.234376</td>\n",
       "      <td>-0.102650</td>\n",
       "      <td>-0.154974</td>\n",
       "      <td>-0.189796</td>\n",
       "      <td>0.598515</td>\n",
       "      <td>0.964878</td>\n",
       "      <td>-0.143824</td>\n",
       "      <td>0.094663</td>\n",
       "      <td>-0.998736</td>\n",
       "      <td>-0.988731</td>\n",
       "      <td>-0.986066</td>\n",
       "      <td>-0.998767</td>\n",
       "      <td>-0.989455</td>\n",
       "      <td>-0.986376</td>\n",
       "      <td>0.893817</td>\n",
       "      <td>-0.166871</td>\n",
       "      <td>0.091682</td>\n",
       "      <td>0.987434</td>\n",
       "      <td>-0.120135</td>\n",
       "      <td>0.093678</td>\n",
       "      <td>-0.399553</td>\n",
       "      <td>0.904536</td>\n",
       "      <td>-0.966972</td>\n",
       "      <td>-0.984363</td>\n",
       "      <td>-0.998834</td>\n",
       "      <td>-0.991954</td>\n",
       "      <td>-0.987866</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>-0.643965</td>\n",
       "      <td>-0.263456</td>\n",
       "      <td>0.276700</td>\n",
       "      <td>-0.290389</td>\n",
       "      <td>0.304500</td>\n",
       "      <td>-0.056751</td>\n",
       "      <td>0.052462</td>\n",
       "      <td>-0.049864</td>\n",
       "      <td>0.047444</td>\n",
       "      <td>-0.244030</td>\n",
       "      <td>0.245863</td>\n",
       "      <td>-0.247821</td>\n",
       "      <td>0.249227</td>\n",
       "      <td>-0.408312</td>\n",
       "      <td>-0.184760</td>\n",
       "      <td>0.964796</td>\n",
       "      <td>0.073444</td>\n",
       "      <td>0.019122</td>\n",
       "      <td>-0.023266</td>\n",
       "      <td>-0.996420</td>\n",
       "      <td>-0.988359</td>\n",
       "      <td>-0.992455</td>\n",
       "      <td>-0.996547</td>\n",
       "      <td>-0.986537</td>\n",
       "      <td>-0.990686</td>\n",
       "      <td>-0.996993</td>\n",
       "      <td>-0.991818</td>\n",
       "      <td>-0.989769</td>\n",
       "      <td>0.994303</td>\n",
       "      <td>0.992544</td>\n",
       "      <td>0.985609</td>\n",
       "      <td>-0.993968</td>\n",
       "      <td>-0.999969</td>\n",
       "      <td>-0.999820</td>\n",
       "      <td>-0.999860</td>\n",
       "      <td>-0.995931</td>\n",
       "      <td>-0.986524</td>\n",
       "      <td>-0.990035</td>\n",
       "      <td>-0.850744</td>\n",
       "      <td>-0.746258</td>\n",
       "      <td>-0.772503</td>\n",
       "      <td>0.250018</td>\n",
       "      <td>0.004545</td>\n",
       "      <td>0.411032</td>\n",
       "      <td>0.390493</td>\n",
       "      <td>0.366356</td>\n",
       "      <td>-0.268708</td>\n",
       "      <td>0.483535</td>\n",
       "      <td>0.285616</td>\n",
       "      <td>0.453219</td>\n",
       "      <td>-0.062401</td>\n",
       "      <td>0.372447</td>\n",
       "      <td>0.213484</td>\n",
       "      <td>-0.281457</td>\n",
       "      <td>0.051019</td>\n",
       "      <td>0.026057</td>\n",
       "      <td>-0.033960</td>\n",
       "      <td>-0.021502</td>\n",
       "      <td>-0.083501</td>\n",
       "      <td>-0.985185</td>\n",
       "      <td>-0.992362</td>\n",
       "      <td>-0.989272</td>\n",
       "      <td>-0.986947</td>\n",
       "      <td>-0.992516</td>\n",
       "      <td>-0.989748</td>\n",
       "      <td>-0.899726</td>\n",
       "      <td>-0.956279</td>\n",
       "      <td>-0.764746</td>\n",
       "      <td>0.846049</td>\n",
       "      <td>0.891359</td>\n",
       "      <td>0.821374</td>\n",
       "      <td>-0.985199</td>\n",
       "      <td>-0.999849</td>\n",
       "      <td>-0.999952</td>\n",
       "      <td>-0.999880</td>\n",
       "      <td>-0.990405</td>\n",
       "      <td>-0.993299</td>\n",
       "      <td>-0.991242</td>\n",
       "      <td>-0.628861</td>\n",
       "      <td>-0.480092</td>\n",
       "      <td>-0.671719</td>\n",
       "      <td>0.074269</td>\n",
       "      <td>-0.232425</td>\n",
       "      <td>0.372333</td>\n",
       "      <td>-0.215903</td>\n",
       "      <td>-0.150665</td>\n",
       "      <td>0.173681</td>\n",
       "      <td>-0.402643</td>\n",
       "      <td>0.737304</td>\n",
       "      <td>0.284922</td>\n",
       "      <td>-0.372288</td>\n",
       "      <td>0.188533</td>\n",
       "      <td>0.370145</td>\n",
       "      <td>-0.140975</td>\n",
       "      <td>0.484917</td>\n",
       "      <td>-0.723123</td>\n",
       "      <td>-0.090770</td>\n",
       "      <td>-0.037633</td>\n",
       "      <td>-0.058289</td>\n",
       "      <td>-0.991162</td>\n",
       "      <td>-0.996473</td>\n",
       "      <td>-0.994808</td>\n",
       "      <td>-0.992679</td>\n",
       "      <td>-0.996548</td>\n",
       "      <td>-0.994599</td>\n",
       "      <td>-0.983220</td>\n",
       "      <td>-0.997330</td>\n",
       "      <td>-0.993272</td>\n",
       "      <td>0.993481</td>\n",
       "      <td>0.997458</td>\n",
       "      <td>0.996528</td>\n",
       "      <td>-0.995947</td>\n",
       "      <td>-0.999927</td>\n",
       "      <td>-0.999985</td>\n",
       "      <td>-0.999955</td>\n",
       "      <td>-0.994428</td>\n",
       "      <td>-0.996717</td>\n",
       "      <td>-0.994310</td>\n",
       "      <td>-0.617738</td>\n",
       "      <td>-0.704403</td>\n",
       "      <td>-0.632927</td>\n",
       "      <td>0.093674</td>\n",
       "      <td>-0.136549</td>\n",
       "      <td>0.150872</td>\n",
       "      <td>0.176628</td>\n",
       "      <td>-0.119820</td>\n",
       "      <td>0.184180</td>\n",
       "      <td>-0.286495</td>\n",
       "      <td>0.025785</td>\n",
       "      <td>0.294895</td>\n",
       "      <td>-0.462128</td>\n",
       "      <td>0.102026</td>\n",
       "      <td>0.260335</td>\n",
       "      <td>0.100763</td>\n",
       "      <td>0.103889</td>\n",
       "      <td>-0.252770</td>\n",
       "      <td>-0.994669</td>\n",
       "      <td>-0.992678</td>\n",
       "      <td>-0.992968</td>\n",
       "      <td>-0.991914</td>\n",
       "      <td>-0.997687</td>\n",
       "      <td>-0.994669</td>\n",
       "      <td>-0.999929</td>\n",
       "      <td>-0.992688</td>\n",
       "      <td>-0.686673</td>\n",
       "      <td>0.228080</td>\n",
       "      <td>-0.318102</td>\n",
       "      <td>0.558097</td>\n",
       "      <td>-0.350552</td>\n",
       "      <td>-0.994669</td>\n",
       "      <td>-0.992678</td>\n",
       "      <td>-0.992968</td>\n",
       "      <td>-0.991914</td>\n",
       "      <td>-0.997687</td>\n",
       "      <td>-0.994669</td>\n",
       "      <td>-0.999929</td>\n",
       "      <td>-0.992688</td>\n",
       "      <td>-0.686673</td>\n",
       "      <td>0.228080</td>\n",
       "      <td>-0.318102</td>\n",
       "      <td>0.558097</td>\n",
       "      <td>-0.350552</td>\n",
       "      <td>-0.994262</td>\n",
       "      <td>-0.995827</td>\n",
       "      <td>-0.996028</td>\n",
       "      <td>-0.992934</td>\n",
       "      <td>-0.981325</td>\n",
       "      <td>-0.994262</td>\n",
       "      <td>-0.999911</td>\n",
       "      <td>-0.996885</td>\n",
       "      <td>-0.849896</td>\n",
       "      <td>0.330992</td>\n",
       "      <td>-0.195650</td>\n",
       "      <td>0.020859</td>\n",
       "      <td>-0.302842</td>\n",
       "      <td>-0.985148</td>\n",
       "      <td>-0.989063</td>\n",
       "      <td>-0.990195</td>\n",
       "      <td>-0.986956</td>\n",
       "      <td>-0.989178</td>\n",
       "      <td>-0.985148</td>\n",
       "      <td>-0.999829</td>\n",
       "      <td>-0.992924</td>\n",
       "      <td>-0.172920</td>\n",
       "      <td>-0.175559</td>\n",
       "      <td>-0.051251</td>\n",
       "      <td>0.133124</td>\n",
       "      <td>0.052824</td>\n",
       "      <td>-0.995860</td>\n",
       "      <td>-0.995258</td>\n",
       "      <td>-0.996307</td>\n",
       "      <td>-0.992389</td>\n",
       "      <td>-0.992193</td>\n",
       "      <td>-0.995860</td>\n",
       "      <td>-0.999972</td>\n",
       "      <td>-0.996484</td>\n",
       "      <td>-0.720171</td>\n",
       "      <td>0.366022</td>\n",
       "      <td>-0.236366</td>\n",
       "      <td>-0.218272</td>\n",
       "      <td>0.070137</td>\n",
       "      <td>-0.997313</td>\n",
       "      <td>-0.982301</td>\n",
       "      <td>-0.988561</td>\n",
       "      <td>-0.998456</td>\n",
       "      <td>-0.988002</td>\n",
       "      <td>-0.994759</td>\n",
       "      <td>-0.997661</td>\n",
       "      <td>-0.982559</td>\n",
       "      <td>-0.992282</td>\n",
       "      <td>-0.999185</td>\n",
       "      <td>-0.988847</td>\n",
       "      <td>-0.994188</td>\n",
       "      <td>-0.994959</td>\n",
       "      <td>-0.991790</td>\n",
       "      <td>-0.974508</td>\n",
       "      <td>-0.992423</td>\n",
       "      <td>-0.999991</td>\n",
       "      <td>-0.999819</td>\n",
       "      <td>-0.999894</td>\n",
       "      <td>-0.994601</td>\n",
       "      <td>-0.988180</td>\n",
       "      <td>-0.989173</td>\n",
       "      <td>-1.000000</td>\n",
       "      <td>-0.870398</td>\n",
       "      <td>-0.944190</td>\n",
       "      <td>0.133333</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>0.292909</td>\n",
       "      <td>0.088919</td>\n",
       "      <td>0.635286</td>\n",
       "      <td>-0.677076</td>\n",
       "      <td>-0.952080</td>\n",
       "      <td>-0.219165</td>\n",
       "      <td>-0.526645</td>\n",
       "      <td>-0.554467</td>\n",
       "      <td>-0.795127</td>\n",
       "      <td>-0.999994</td>\n",
       "      <td>-0.999987</td>\n",
       "      <td>-0.999936</td>\n",
       "      <td>-0.999945</td>\n",
       "      <td>-0.999969</td>\n",
       "      <td>-0.999936</td>\n",
       "      <td>-0.999970</td>\n",
       "      <td>-0.999986</td>\n",
       "      <td>-0.999993</td>\n",
       "      <td>-0.999935</td>\n",
       "      <td>-0.999970</td>\n",
       "      <td>-0.999975</td>\n",
       "      <td>-0.999991</td>\n",
       "      <td>-0.999955</td>\n",
       "      <td>-0.999854</td>\n",
       "      <td>-0.999860</td>\n",
       "      <td>-0.999865</td>\n",
       "      <td>-0.999897</td>\n",
       "      <td>-0.999659</td>\n",
       "      <td>-0.999701</td>\n",
       "      <td>-0.999517</td>\n",
       "      <td>-0.999911</td>\n",
       "      <td>-0.999830</td>\n",
       "      <td>-0.999844</td>\n",
       "      <td>-0.999670</td>\n",
       "      <td>-0.999671</td>\n",
       "      <td>-0.999824</td>\n",
       "      <td>-0.999842</td>\n",
       "      <td>-0.999919</td>\n",
       "      <td>-0.999829</td>\n",
       "      <td>-0.999825</td>\n",
       "      <td>-0.999786</td>\n",
       "      <td>-0.999749</td>\n",
       "      <td>-0.999656</td>\n",
       "      <td>-0.999026</td>\n",
       "      <td>-0.999479</td>\n",
       "      <td>-0.999909</td>\n",
       "      <td>-0.999841</td>\n",
       "      <td>-0.999743</td>\n",
       "      <td>-0.999145</td>\n",
       "      <td>-0.999900</td>\n",
       "      <td>-0.999792</td>\n",
       "      <td>-0.996292</td>\n",
       "      <td>-0.988790</td>\n",
       "      <td>-0.990572</td>\n",
       "      <td>-0.996903</td>\n",
       "      <td>-0.988607</td>\n",
       "      <td>-0.992318</td>\n",
       "      <td>-0.996091</td>\n",
       "      <td>-0.988867</td>\n",
       "      <td>-0.991804</td>\n",
       "      <td>-0.997013</td>\n",
       "      <td>-0.990373</td>\n",
       "      <td>-0.995057</td>\n",
       "      <td>-0.995801</td>\n",
       "      <td>-0.996112</td>\n",
       "      <td>-0.995990</td>\n",
       "      <td>-0.993729</td>\n",
       "      <td>-0.999969</td>\n",
       "      <td>-0.999821</td>\n",
       "      <td>-0.999860</td>\n",
       "      <td>-0.995278</td>\n",
       "      <td>-0.992454</td>\n",
       "      <td>-0.985445</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>-0.32</td>\n",
       "      <td>-0.08</td>\n",
       "      <td>0.04</td>\n",
       "      <td>0.157893</td>\n",
       "      <td>0.088422</td>\n",
       "      <td>0.389190</td>\n",
       "      <td>-0.534882</td>\n",
       "      <td>-0.828823</td>\n",
       "      <td>-0.554500</td>\n",
       "      <td>-0.903908</td>\n",
       "      <td>-0.729553</td>\n",
       "      <td>-0.964136</td>\n",
       "      <td>-0.999995</td>\n",
       "      <td>-0.999984</td>\n",
       "      <td>-0.999947</td>\n",
       "      <td>-0.999939</td>\n",
       "      <td>-0.999962</td>\n",
       "      <td>-0.999929</td>\n",
       "      <td>-0.999959</td>\n",
       "      <td>-0.999995</td>\n",
       "      <td>-0.999989</td>\n",
       "      <td>-0.999942</td>\n",
       "      <td>-0.999965</td>\n",
       "      <td>-0.999960</td>\n",
       "      <td>-0.999973</td>\n",
       "      <td>-0.999940</td>\n",
       "      <td>-0.999925</td>\n",
       "      <td>-0.999878</td>\n",
       "      <td>-0.999810</td>\n",
       "      <td>-0.999929</td>\n",
       "      <td>-0.999734</td>\n",
       "      <td>-0.999768</td>\n",
       "      <td>-0.999503</td>\n",
       "      <td>-0.999992</td>\n",
       "      <td>-0.999878</td>\n",
       "      <td>-0.999837</td>\n",
       "      <td>-0.999723</td>\n",
       "      <td>-0.999568</td>\n",
       "      <td>-0.999830</td>\n",
       "      <td>-0.999874</td>\n",
       "      <td>-0.999844</td>\n",
       "      <td>-0.999851</td>\n",
       "      <td>-0.999890</td>\n",
       "      <td>-0.999812</td>\n",
       "      <td>-0.999746</td>\n",
       "      <td>-0.999688</td>\n",
       "      <td>-0.999165</td>\n",
       "      <td>-0.999982</td>\n",
       "      <td>-0.999850</td>\n",
       "      <td>-0.999884</td>\n",
       "      <td>-0.999734</td>\n",
       "      <td>-0.999206</td>\n",
       "      <td>-0.999901</td>\n",
       "      <td>-0.999804</td>\n",
       "      <td>-0.982462</td>\n",
       "      <td>-0.992993</td>\n",
       "      <td>-0.988508</td>\n",
       "      <td>-0.985977</td>\n",
       "      <td>-0.991977</td>\n",
       "      <td>-0.989952</td>\n",
       "      <td>-0.983650</td>\n",
       "      <td>-0.993379</td>\n",
       "      <td>-0.986418</td>\n",
       "      <td>-0.988846</td>\n",
       "      <td>-0.993255</td>\n",
       "      <td>-0.992181</td>\n",
       "      <td>-0.993738</td>\n",
       "      <td>-0.993727</td>\n",
       "      <td>-0.994826</td>\n",
       "      <td>-0.988689</td>\n",
       "      <td>-0.999862</td>\n",
       "      <td>-0.999951</td>\n",
       "      <td>-0.999903</td>\n",
       "      <td>-0.990337</td>\n",
       "      <td>-0.996114</td>\n",
       "      <td>-0.997426</td>\n",
       "      <td>-0.652617</td>\n",
       "      <td>-0.827212</td>\n",
       "      <td>-0.737458</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>-0.806452</td>\n",
       "      <td>-1.000000</td>\n",
       "      <td>-0.118405</td>\n",
       "      <td>-0.069249</td>\n",
       "      <td>-0.190239</td>\n",
       "      <td>-0.340982</td>\n",
       "      <td>-0.720464</td>\n",
       "      <td>-0.271645</td>\n",
       "      <td>-0.688506</td>\n",
       "      <td>-0.275324</td>\n",
       "      <td>-0.653792</td>\n",
       "      <td>-0.999870</td>\n",
       "      <td>-0.999912</td>\n",
       "      <td>-0.999925</td>\n",
       "      <td>-0.999941</td>\n",
       "      <td>-0.999937</td>\n",
       "      <td>-0.999887</td>\n",
       "      <td>-0.999900</td>\n",
       "      <td>-0.999917</td>\n",
       "      <td>-0.999865</td>\n",
       "      <td>-0.999917</td>\n",
       "      <td>-0.999912</td>\n",
       "      <td>-0.999908</td>\n",
       "      <td>-0.999864</td>\n",
       "      <td>-0.999933</td>\n",
       "      <td>-0.999942</td>\n",
       "      <td>-0.999993</td>\n",
       "      <td>-0.999996</td>\n",
       "      <td>-0.999989</td>\n",
       "      <td>-0.999967</td>\n",
       "      <td>-0.999974</td>\n",
       "      <td>-0.999974</td>\n",
       "      <td>-0.999972</td>\n",
       "      <td>-0.999946</td>\n",
       "      <td>-0.999993</td>\n",
       "      <td>-0.999969</td>\n",
       "      <td>-0.999970</td>\n",
       "      <td>-0.999949</td>\n",
       "      <td>-0.999982</td>\n",
       "      <td>-0.999913</td>\n",
       "      <td>-0.999955</td>\n",
       "      <td>-0.999996</td>\n",
       "      <td>-0.999987</td>\n",
       "      <td>-0.999940</td>\n",
       "      <td>-0.999907</td>\n",
       "      <td>-0.999921</td>\n",
       "      <td>-0.999981</td>\n",
       "      <td>-0.999904</td>\n",
       "      <td>-0.999996</td>\n",
       "      <td>-0.999937</td>\n",
       "      <td>-0.999947</td>\n",
       "      <td>-0.999905</td>\n",
       "      <td>-0.999973</td>\n",
       "      <td>-0.992973</td>\n",
       "      <td>-0.992198</td>\n",
       "      <td>-0.991970</td>\n",
       "      <td>-0.993230</td>\n",
       "      <td>-0.987124</td>\n",
       "      <td>-0.992973</td>\n",
       "      <td>-0.999921</td>\n",
       "      <td>-0.996061</td>\n",
       "      <td>-0.907014</td>\n",
       "      <td>-1.000000</td>\n",
       "      <td>0.411015</td>\n",
       "      <td>-0.119313</td>\n",
       "      <td>-0.481119</td>\n",
       "      <td>-0.995407</td>\n",
       "      <td>-0.994860</td>\n",
       "      <td>-0.994169</td>\n",
       "      <td>-0.995898</td>\n",
       "      <td>-0.982174</td>\n",
       "      <td>-0.995407</td>\n",
       "      <td>-0.999941</td>\n",
       "      <td>-0.994542</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>-1.000000</td>\n",
       "      <td>0.560592</td>\n",
       "      <td>-0.529957</td>\n",
       "      <td>-0.857124</td>\n",
       "      <td>-0.991433</td>\n",
       "      <td>-0.989051</td>\n",
       "      <td>-0.987932</td>\n",
       "      <td>-0.992145</td>\n",
       "      <td>-0.998404</td>\n",
       "      <td>-0.991433</td>\n",
       "      <td>-0.999902</td>\n",
       "      <td>-0.989339</td>\n",
       "      <td>-0.763372</td>\n",
       "      <td>-0.897436</td>\n",
       "      <td>-0.270529</td>\n",
       "      <td>-0.539596</td>\n",
       "      <td>-0.833661</td>\n",
       "      <td>-0.995096</td>\n",
       "      <td>-0.995645</td>\n",
       "      <td>-0.995508</td>\n",
       "      <td>-0.995683</td>\n",
       "      <td>-0.997414</td>\n",
       "      <td>-0.995096</td>\n",
       "      <td>-0.999974</td>\n",
       "      <td>-0.995566</td>\n",
       "      <td>-1.000000</td>\n",
       "      <td>-0.936508</td>\n",
       "      <td>0.137735</td>\n",
       "      <td>-0.366214</td>\n",
       "      <td>-0.702490</td>\n",
       "      <td>0.123320</td>\n",
       "      <td>0.122542</td>\n",
       "      <td>0.693578</td>\n",
       "      <td>-0.615971</td>\n",
       "      <td>-0.848164</td>\n",
       "      <td>0.185124</td>\n",
       "      <td>-0.037080</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   tBodyAcc-Mean-1  tBodyAcc-Mean-2  tBodyAcc-Mean-3  tBodyAcc-STD-1  \\\n",
       "0         0.043580        -0.005970        -0.035054       -0.995381   \n",
       "1         0.039480        -0.002131        -0.029067       -0.998348   \n",
       "2         0.039978        -0.005153        -0.022651       -0.995482   \n",
       "3         0.039785        -0.011809        -0.028916       -0.996194   \n",
       "4         0.038758        -0.002289        -0.023863       -0.998241   \n",
       "\n",
       "   tBodyAcc-STD-2  tBodyAcc-STD-3  tBodyAcc-Mad-1  tBodyAcc-Mad-2  \\\n",
       "0       -0.988366       -0.937382       -0.995007       -0.988816   \n",
       "1       -0.982945       -0.971273       -0.998702       -0.983315   \n",
       "2       -0.977314       -0.984760       -0.996415       -0.975835   \n",
       "3       -0.988569       -0.993256       -0.996994       -0.988526   \n",
       "4       -0.986774       -0.993115       -0.998216       -0.986479   \n",
       "\n",
       "   tBodyAcc-Mad-3  tBodyAcc-Max-1  tBodyAcc-Max-2  tBodyAcc-Max-3  \\\n",
       "0       -0.953325       -0.794796       -0.744893       -0.648447   \n",
       "1       -0.974000       -0.802537       -0.736338       -0.712415   \n",
       "2       -0.985973       -0.798477       -0.736338       -0.712415   \n",
       "3       -0.993135       -0.798477       -0.752778       -0.722186   \n",
       "4       -0.993825       -0.801982       -0.746505       -0.717858   \n",
       "\n",
       "   tBodyAcc-Min-1  tBodyAcc-Min-2  tBodyAcc-Min-3  tBodyAcc-SMA-1  \\\n",
       "0        0.841796        0.708440        0.651716       -0.975752   \n",
       "1        0.838758        0.708440        0.659340       -0.987427   \n",
       "2        0.834002        0.705008        0.674551       -0.988528   \n",
       "3        0.834002        0.705008        0.673208       -0.990389   \n",
       "4        0.838581        0.705854        0.673208       -0.995057   \n",
       "\n",
       "   tBodyAcc-Energy-1  tBodyAcc-Energy-2  tBodyAcc-Energy-3  tBodyAcc-IQR-1  \\\n",
       "0          -0.999950          -0.999888          -0.998014       -0.993999   \n",
       "1          -0.999993          -0.999826          -0.999411       -0.998918   \n",
       "2          -0.999972          -0.999719          -0.999803       -0.996898   \n",
       "3          -0.999978          -0.999783          -0.999815       -0.996949   \n",
       "4          -0.999992          -0.999882          -0.999908       -0.997772   \n",
       "\n",
       "   tBodyAcc-IQR-2  tBodyAcc-IQR-3  tBodyAcc-ropy-1  tBodyAcc-ropy-2  \\\n",
       "0       -0.991980       -0.970970        -0.547095        -0.700974   \n",
       "1       -0.985482       -0.973481        -0.781973        -0.534604   \n",
       "2       -0.976781       -0.986754        -0.688176        -0.520514   \n",
       "3       -0.989437       -0.992440        -0.715103        -0.860988   \n",
       "4       -0.987726       -0.995109        -0.836774        -0.589200   \n",
       "\n",
       "   tBodyAcc-ropy-3  tBodyAcc-ARCoeff-1  tBodyAcc-ARCoeff-2  \\\n",
       "0        -0.622697            0.921884           -0.719483   \n",
       "1        -0.593165            0.607435           -0.266783   \n",
       "2        -0.593165            0.272262           -0.056424   \n",
       "3        -0.916429            0.062816            0.082940   \n",
       "4        -0.773771            0.312105           -0.095254   \n",
       "\n",
       "   tBodyAcc-ARCoeff-3  tBodyAcc-ARCoeff-4  tBodyAcc-ARCoeff-5  \\\n",
       "0            0.342168           -0.161318            0.266049   \n",
       "1            0.275882            0.200417            0.131266   \n",
       "2            0.322283           -0.273292            0.037180   \n",
       "3            0.200566           -0.378262            0.090063   \n",
       "4            0.194399           -0.007998            0.266740   \n",
       "\n",
       "   tBodyAcc-ARCoeff-6  tBodyAcc-ARCoeff-7  tBodyAcc-ARCoeff-8  \\\n",
       "0           -0.274351            0.267205           -0.020958   \n",
       "1           -0.149017            0.292436           -0.192986   \n",
       "2           -0.133612            0.332487           -0.240491   \n",
       "3           -0.209264            0.316530           -0.090862   \n",
       "4           -0.318965            0.409731           -0.224589   \n",
       "\n",
       "   tBodyAcc-ARCoeff-9  tBodyAcc-ARCoeff-10  tBodyAcc-ARCoeff-11  \\\n",
       "0            0.382610            -0.501748             0.512463   \n",
       "1            0.217496            -0.089175             0.059909   \n",
       "2            0.348733            -0.195409             0.229436   \n",
       "3            0.396383            -0.353643             0.503754   \n",
       "4            0.520354            -0.319167             0.234376   \n",
       "\n",
       "   tBodyAcc-ARCoeff-12  tBodyAcc-Correlation-1  tBodyAcc-Correlation-2  \\\n",
       "0            -0.206337                0.376778                0.435172   \n",
       "1            -0.236609               -0.012696               -0.072711   \n",
       "2            -0.316816               -0.123889               -0.181137   \n",
       "3            -0.490389               -0.304759               -0.362708   \n",
       "4            -0.102650               -0.154974               -0.189796   \n",
       "\n",
       "   tBodyAcc-Correlation-3  tGravityAcc-Mean-1  tGravityAcc-Mean-2  \\\n",
       "0                0.660199            0.960051           -0.135939   \n",
       "1                0.578649            0.963215           -0.136648   \n",
       "2                0.608219            0.963532           -0.137105   \n",
       "3                0.506602            0.964269           -0.139065   \n",
       "4                0.598515            0.964878           -0.143824   \n",
       "\n",
       "   tGravityAcc-Mean-3  tGravityAcc-STD-1  tGravityAcc-STD-2  \\\n",
       "0            0.115556          -0.988134          -0.982693   \n",
       "1            0.109558          -0.997918          -0.990006   \n",
       "2            0.102062          -0.999657          -0.993236   \n",
       "3            0.100028          -0.997302          -0.982395   \n",
       "4            0.094663          -0.998736          -0.988731   \n",
       "\n",
       "   tGravityAcc-STD-3  tGravityAcc-Mad-1  tGravityAcc-Mad-2  tGravityAcc-Mad-3  \\\n",
       "0          -0.919723          -0.988362          -0.985523          -0.931834   \n",
       "1          -0.955160          -0.998358          -0.990346          -0.956796   \n",
       "2          -0.995364          -0.999717          -0.993122          -0.995437   \n",
       "3          -0.985890          -0.997251          -0.982317          -0.986065   \n",
       "4          -0.986066          -0.998767          -0.989455          -0.986376   \n",
       "\n",
       "   tGravityAcc-Max-1  tGravityAcc-Max-2  tGravityAcc-Max-3  tGravityAcc-Min-1  \\\n",
       "0           0.892055          -0.161350           0.124660           0.977436   \n",
       "1           0.892060          -0.161428           0.122586           0.984520   \n",
       "2           0.892401          -0.163796           0.094566           0.986770   \n",
       "3           0.893817          -0.163796           0.093425           0.986821   \n",
       "4           0.893817          -0.166871           0.091682           0.987434   \n",
       "\n",
       "   tGravityAcc-Min-2  tGravityAcc-Min-3  tGravityAcc-SMA-1  \\\n",
       "0          -0.121513           0.056114          -0.374464   \n",
       "1          -0.113205           0.102380          -0.382480   \n",
       "2          -0.113205           0.102380          -0.400680   \n",
       "3          -0.119638           0.095371          -0.399355   \n",
       "4          -0.120135           0.093678          -0.399553   \n",
       "\n",
       "   tGravityAcc-Energy-1  tGravityAcc-Energy-2  tGravityAcc-Energy-3  \\\n",
       "0              0.891821             -0.970836             -0.975511   \n",
       "1              0.900148             -0.970512             -0.978501   \n",
       "2              0.900984             -0.970297             -0.981673   \n",
       "3              0.902929             -0.969326             -0.982420   \n",
       "4              0.904536             -0.966972             -0.984363   \n",
       "\n",
       "   tGravityAcc-IQR-1  tGravityAcc-IQR-2  tGravityAcc-IQR-3  \\\n",
       "0          -0.989141          -0.990444          -0.948887   \n",
       "1          -0.999436          -0.991455          -0.963779   \n",
       "2          -0.999776          -0.993233          -0.995457   \n",
       "3          -0.997211          -0.983432          -0.987471   \n",
       "4          -0.998834          -0.991954          -0.987866   \n",
       "\n",
       "   tGravityAcc-ropy-1  tGravityAcc-ropy-2  tGravityAcc-ropy-3  \\\n",
       "0                -1.0                -1.0            0.034249   \n",
       "1                -1.0                -1.0           -0.266887   \n",
       "2                -1.0                -1.0           -0.932007   \n",
       "3                -1.0                -1.0           -0.624951   \n",
       "4                -1.0                -1.0           -0.643965   \n",
       "\n",
       "   tGravityAcc-ARCoeff-1  tGravityAcc-ARCoeff-2  tGravityAcc-ARCoeff-3  \\\n",
       "0              -0.593146               0.594636              -0.596440   \n",
       "1              -0.414654               0.419707              -0.425066   \n",
       "2              -0.006656               0.038478              -0.070093   \n",
       "3              -0.073126               0.085786              -0.098715   \n",
       "4              -0.263456               0.276700              -0.290389   \n",
       "\n",
       "   tGravityAcc-ARCoeff-4  tGravityAcc-ARCoeff-5  tGravityAcc-ARCoeff-6  \\\n",
       "0               0.598560              -0.712209               0.709630   \n",
       "1               0.430722              -0.090349               0.089337   \n",
       "2               0.101417              -0.240595               0.240532   \n",
       "3               0.111885              -0.202103               0.196586   \n",
       "4               0.304500              -0.056751               0.052462   \n",
       "\n",
       "   tGravityAcc-ARCoeff-7  tGravityAcc-ARCoeff-8  tGravityAcc-ARCoeff-9  \\\n",
       "0              -0.707484               0.705000              -0.992117   \n",
       "1              -0.089808               0.090275              -0.832920   \n",
       "2              -0.241398               0.241869              -0.705701   \n",
       "3              -0.192326               0.187975              -0.390101   \n",
       "4              -0.049864               0.047444              -0.244030   \n",
       "\n",
       "   tGravityAcc-ARCoeff-10  tGravityAcc-ARCoeff-11  tGravityAcc-ARCoeff-12  \\\n",
       "0                0.992647               -0.992885                0.991748   \n",
       "1                0.833296               -0.833454                0.832397   \n",
       "2                0.714942               -0.723978                0.731848   \n",
       "3                0.391096               -0.392072                0.392272   \n",
       "4                0.245863               -0.247821                0.249227   \n",
       "\n",
       "   tGravityAcc-Correlation-1  tGravityAcc-Correlation-2  \\\n",
       "0                   0.570269                   0.439065   \n",
       "1                  -0.831278                  -0.865586   \n",
       "2                  -0.181065                   0.337980   \n",
       "3                  -0.991307                  -0.968689   \n",
       "4                  -0.408312                  -0.184760   \n",
       "\n",
       "   tGravityAcc-Correlation-3  tBodyAccJerk-Mean-1  tBodyAccJerk-Mean-2  \\\n",
       "0                   0.986913             0.077996             0.005001   \n",
       "1                   0.974385             0.074007             0.005771   \n",
       "2                   0.643413             0.073636             0.003104   \n",
       "3                   0.984255             0.077321             0.020058   \n",
       "4                   0.964796             0.073444             0.019122   \n",
       "\n",
       "   tBodyAccJerk-Mean-3  tBodyAccJerk-STD-1  tBodyAccJerk-STD-2  \\\n",
       "0            -0.097790           -0.993519           -0.988360   \n",
       "1            -0.012171           -0.995548           -0.981064   \n",
       "2            -0.046013           -0.990743           -0.980956   \n",
       "3            -0.046734           -0.992697           -0.987553   \n",
       "4            -0.023266           -0.996420           -0.988359   \n",
       "\n",
       "   tBodyAccJerk-STD-3  tBodyAccJerk-Mad-1  tBodyAccJerk-Mad-2  \\\n",
       "0           -0.993575           -0.994437           -0.986207   \n",
       "1           -0.991846           -0.995582           -0.978938   \n",
       "2           -0.989687           -0.990883           -0.979300   \n",
       "3           -0.993498           -0.994216           -0.985717   \n",
       "4           -0.992455           -0.996547           -0.986537   \n",
       "\n",
       "   tBodyAccJerk-Mad-3  tBodyAccJerk-Max-1  tBodyAccJerk-Max-2  \\\n",
       "0           -0.992818           -0.985180           -0.991994   \n",
       "1           -0.991277           -0.994545           -0.979068   \n",
       "2           -0.987238           -0.987077           -0.979068   \n",
       "3           -0.991483           -0.987077           -0.991786   \n",
       "4           -0.990686           -0.996993           -0.991818   \n",
       "\n",
       "   tBodyAccJerk-Max-3  tBodyAccJerk-Min-1  tBodyAccJerk-Min-2  \\\n",
       "0           -0.993119            0.989835            0.991957   \n",
       "1           -0.992257            0.992577            0.991808   \n",
       "2           -0.992257            0.988390            0.991808   \n",
       "3           -0.989769            0.988390            0.992544   \n",
       "4           -0.989769            0.994303            0.992544   \n",
       "\n",
       "   tBodyAccJerk-Min-3  tBodyAccJerk-SMA-1  tBodyAccJerk-Energy-1  \\\n",
       "0            0.990519           -0.993658              -0.999935   \n",
       "1            0.988539           -0.991530              -0.999960   \n",
       "2            0.988539           -0.988283              -0.999894   \n",
       "3            0.993218           -0.993004              -0.999924   \n",
       "4            0.985609           -0.993968              -0.999969   \n",
       "\n",
       "   tBodyAccJerk-Energy-2  tBodyAccJerk-Energy-3  tBodyAccJerk-IQR-1  \\\n",
       "0              -0.999820              -0.999878           -0.994407   \n",
       "1              -0.999640              -0.999845           -0.993905   \n",
       "2              -0.999636              -0.999795           -0.987888   \n",
       "3              -0.999803              -0.999883           -0.994721   \n",
       "4              -0.999820              -0.999860           -0.995931   \n",
       "\n",
       "   tBodyAccJerk-IQR-2  tBodyAccJerk-IQR-3  tBodyAccJerk-ropy-1  \\\n",
       "0           -0.986025           -0.988698            -0.819949   \n",
       "1           -0.979435           -0.992847            -0.875096   \n",
       "2           -0.980145           -0.981377            -0.753629   \n",
       "3           -0.987033           -0.988360            -0.820804   \n",
       "4           -0.986524           -0.990035            -0.850744   \n",
       "\n",
       "   tBodyAccJerk-ropy-2  tBodyAccJerk-ropy-3  tBodyAccJerk-ARCoeff-1  \\\n",
       "0            -0.793046            -0.863145                0.948026   \n",
       "1            -0.655362            -0.743326                0.478758   \n",
       "2            -0.673274            -0.723328                0.272382   \n",
       "3            -0.754968            -0.800436                0.141504   \n",
       "4            -0.746258            -0.772503                0.250018   \n",
       "\n",
       "   tBodyAccJerk-ARCoeff-2  tBodyAccJerk-ARCoeff-3  tBodyAccJerk-ARCoeff-4  \\\n",
       "0               -0.334807                0.714202                0.498686   \n",
       "1               -0.056439                0.469727                0.649099   \n",
       "2                0.055576                0.560580                0.481534   \n",
       "3                0.139564                0.554214                0.289503   \n",
       "4                0.004545                0.411032                0.390493   \n",
       "\n",
       "   tBodyAccJerk-ARCoeff-5  tBodyAccJerk-ARCoeff-6  tBodyAccJerk-ARCoeff-7  \\\n",
       "0                0.296681               -0.189513                0.310912   \n",
       "1                0.214038               -0.089399                0.396962   \n",
       "2                0.154099               -0.148111                0.362140   \n",
       "3                0.171830               -0.230236                0.254661   \n",
       "4                0.366356               -0.268708                0.483535   \n",
       "\n",
       "   tBodyAccJerk-ARCoeff-8  tBodyAccJerk-ARCoeff-9  tBodyAccJerk-ARCoeff-10  \\\n",
       "0                0.237110                0.410937                -0.509475   \n",
       "1                0.280803                0.216553                 0.112392   \n",
       "2                0.307030                0.336670                 0.020751   \n",
       "3                0.357817                0.424995                -0.192279   \n",
       "4                0.285616                0.453219                -0.062401   \n",
       "\n",
       "   tBodyAccJerk-ARCoeff-11  tBodyAccJerk-ARCoeff-12  \\\n",
       "0                 0.475574                -0.352207   \n",
       "1                 0.255489                 0.201779   \n",
       "2                 0.396389                 0.270745   \n",
       "3                 0.508560                 0.447029   \n",
       "4                 0.372447                 0.213484   \n",
       "\n",
       "   tBodyAccJerk-Correlation-1  tBodyAccJerk-Correlation-2  \\\n",
       "0                   -0.394631                   -0.016790   \n",
       "1                   -0.216914                    0.032498   \n",
       "2                   -0.127649                   -0.157126   \n",
       "3                   -0.135089                   -0.131000   \n",
       "4                   -0.281457                    0.051019   \n",
       "\n",
       "   tBodyAccJerk-Correlation-3  tBodyGyro-Mean-1  tBodyGyro-Mean-2  \\\n",
       "0                   -0.158237         -0.006101          0.007515   \n",
       "1                   -0.295121         -0.016112         -0.027651   \n",
       "2                   -0.074822         -0.031698         -0.039997   \n",
       "3                    0.404138         -0.043410         -0.032667   \n",
       "4                    0.026057         -0.033960         -0.021502   \n",
       "\n",
       "   tBodyGyro-Mean-3  tBodyGyro-STD-1  tBodyGyro-STD-2  tBodyGyro-STD-3  \\\n",
       "0         -0.063862        -0.985312        -0.976608        -0.993319   \n",
       "1         -0.068485        -0.983122        -0.989030        -0.990721   \n",
       "2         -0.071371        -0.976294        -0.993536        -0.988410   \n",
       "3         -0.078227        -0.991387        -0.992391        -0.989400   \n",
       "4         -0.083501        -0.985185        -0.992362        -0.989272   \n",
       "\n",
       "   tBodyGyro-Mad-1  tBodyGyro-Mad-2  tBodyGyro-Mad-3  tBodyGyro-Max-1  \\\n",
       "0        -0.984589        -0.976326        -0.993341        -0.897563   \n",
       "1        -0.986893        -0.989012        -0.990623        -0.896075   \n",
       "2        -0.974924        -0.994096        -0.987714        -0.896075   \n",
       "3        -0.991592        -0.993116        -0.990965        -0.910272   \n",
       "4        -0.986947        -0.992516        -0.989748        -0.899726   \n",
       "\n",
       "   tBodyGyro-Max-2  tBodyGyro-Max-3  tBodyGyro-Min-1  tBodyGyro-Min-2  \\\n",
       "0        -0.936676        -0.762644         0.854297         0.895032   \n",
       "1        -0.956480        -0.761034         0.840659         0.888316   \n",
       "2        -0.961977        -0.758573         0.840659         0.885984   \n",
       "3        -0.959580        -0.758573         0.841103         0.885984   \n",
       "4        -0.956279        -0.764746         0.846049         0.891359   \n",
       "\n",
       "   tBodyGyro-Min-3  tBodyGyro-SMA-1  tBodyGyro-Energy-1  tBodyGyro-Energy-2  \\\n",
       "0         0.830841        -0.967122           -0.999578           -0.999354   \n",
       "1         0.828935        -0.980550           -0.999756           -0.999897   \n",
       "2         0.828935        -0.976217           -0.999693           -0.999828   \n",
       "3         0.826634        -0.982233           -0.999793           -0.999902   \n",
       "4         0.821374        -0.985199           -0.999849           -0.999952   \n",
       "\n",
       "   tBodyGyro-Energy-3  tBodyGyro-IQR-1  tBodyGyro-IQR-2  tBodyGyro-IQR-3  \\\n",
       "0           -0.999818        -0.984400        -0.978577        -0.993053   \n",
       "1           -0.999863        -0.993249        -0.989307        -0.990327   \n",
       "2           -0.999863        -0.973958        -0.995107        -0.986918   \n",
       "3           -0.999905        -0.991552        -0.994128        -0.994669   \n",
       "4           -0.999880        -0.990405        -0.993299        -0.991242   \n",
       "\n",
       "   tBodyGyro-ropy-1  tBodyGyro-ropy-2  tBodyGyro-ropy-3  tBodyGyro-ARCoeff-1  \\\n",
       "0          0.082632          0.174515         -0.218437             0.320926   \n",
       "1          0.007469         -0.541979         -0.226606            -0.065410   \n",
       "2         -0.260943         -1.000000         -0.293293            -0.104902   \n",
       "3         -0.930551         -0.830620         -0.570710             0.111629   \n",
       "4         -0.628861         -0.480092         -0.671719             0.074269   \n",
       "\n",
       "   tBodyGyro-ARCoeff-2  tBodyGyro-ARCoeff-3  tBodyGyro-ARCoeff-4  \\\n",
       "0            -0.452604             0.466133            -0.203632   \n",
       "1            -0.091762             0.221883            -0.127798   \n",
       "2            -0.044211             0.166262            -0.102845   \n",
       "3            -0.244338             0.314597            -0.151341   \n",
       "4            -0.232425             0.372333            -0.215903   \n",
       "\n",
       "   tBodyGyro-ARCoeff-5  tBodyGyro-ARCoeff-6  tBodyGyro-ARCoeff-7  \\\n",
       "0             1.000000            -1.000000             0.352276   \n",
       "1            -0.035730            -0.080818             0.152422   \n",
       "2             0.042757            -0.144522             0.149647   \n",
       "3             0.054867            -0.141803             0.112881   \n",
       "4            -0.150665             0.173681            -0.402643   \n",
       "\n",
       "   tBodyGyro-ARCoeff-8  tBodyGyro-ARCoeff-9  tBodyGyro-ARCoeff-10  \\\n",
       "0             0.448398             0.757793             -0.782465   \n",
       "1             0.138831             0.091659             -0.192092   \n",
       "2             0.184847             0.159862             -0.207029   \n",
       "3             0.239203             0.239392             -0.246512   \n",
       "4             0.737304             0.284922             -0.372288   \n",
       "\n",
       "   tBodyGyro-ARCoeff-11  tBodyGyro-ARCoeff-12  tBodyGyro-Correlation-1  \\\n",
       "0              0.703725             -0.399107                 0.712274   \n",
       "1              0.336420             -0.224823                 0.048116   \n",
       "2              0.190397              0.094101                -0.008846   \n",
       "3              0.169983              0.111054                 0.211908   \n",
       "4              0.188533              0.370145                -0.140975   \n",
       "\n",
       "   tBodyGyro-Correlation-2  tBodyGyro-Correlation-3  tBodyGyroJerk-Mean-1  \\\n",
       "0                 0.135604                 0.302777             -0.099167   \n",
       "1                -0.255938                 0.171041             -0.110503   \n",
       "2                 0.044103                -0.349123             -0.108486   \n",
       "3                 0.141827                -0.723867             -0.091170   \n",
       "4                 0.484917                -0.723123             -0.090770   \n",
       "\n",
       "   tBodyGyroJerk-Mean-2  tBodyGyroJerk-Mean-3  tBodyGyroJerk-STD-1  \\\n",
       "0             -0.055517             -0.061986            -0.991918   \n",
       "1             -0.044819             -0.059243            -0.989680   \n",
       "2             -0.042410             -0.055829            -0.988270   \n",
       "3             -0.036333             -0.060465            -0.990927   \n",
       "4             -0.037633             -0.058289            -0.991162   \n",
       "\n",
       "   tBodyGyroJerk-STD-2  tBodyGyroJerk-STD-3  tBodyGyroJerk-Mad-1  \\\n",
       "0            -0.992519            -0.992352            -0.991961   \n",
       "1            -0.997293            -0.994148            -0.989673   \n",
       "2            -0.995632            -0.991829            -0.987665   \n",
       "3            -0.996641            -0.993626            -0.991037   \n",
       "4            -0.996473            -0.994808            -0.992679   \n",
       "\n",
       "   tBodyGyroJerk-Mad-2  tBodyGyroJerk-Mad-3  tBodyGyroJerk-Max-1  \\\n",
       "0            -0.994949            -0.992835            -0.991766   \n",
       "1            -0.997499            -0.993994            -0.993250   \n",
       "2            -0.995733            -0.991812            -0.994421   \n",
       "3            -0.996965            -0.994236            -0.994684   \n",
       "4            -0.996548            -0.994599            -0.983220   \n",
       "\n",
       "   tBodyGyroJerk-Max-2  tBodyGyroJerk-Max-3  tBodyGyroJerk-Min-1  \\\n",
       "0            -0.986565            -0.991894             0.994225   \n",
       "1            -0.997538            -0.994773             0.990283   \n",
       "2            -0.993622            -0.988815             0.989087   \n",
       "3            -0.993622            -0.988815             0.989087   \n",
       "4            -0.997330            -0.993272             0.993481   \n",
       "\n",
       "   tBodyGyroJerk-Min-2  tBodyGyroJerk-Min-3  tBodyGyroJerk-SMA-1  \\\n",
       "0             0.991761             0.989352            -0.994523   \n",
       "1             0.997127             0.994503            -0.995368   \n",
       "2             0.997127             0.994143            -0.993484   \n",
       "3             0.998136             0.994143            -0.995565   \n",
       "4             0.997458             0.996528            -0.995947   \n",
       "\n",
       "   tBodyGyroJerk-Energy-1  tBodyGyroJerk-Energy-2  tBodyGyroJerk-Energy-3  \\\n",
       "0               -0.999937               -0.999954               -0.999925   \n",
       "1               -0.999907               -0.999990               -0.999948   \n",
       "2               -0.999886               -0.999980               -0.999918   \n",
       "3               -0.999924               -0.999986               -0.999941   \n",
       "4               -0.999927               -0.999985               -0.999955   \n",
       "\n",
       "   tBodyGyroJerk-IQR-1  tBodyGyroJerk-IQR-2  tBodyGyroJerk-IQR-3  \\\n",
       "0            -0.992214            -0.996938            -0.992584   \n",
       "1            -0.990657            -0.997300            -0.994149   \n",
       "2            -0.987045            -0.995427            -0.993117   \n",
       "3            -0.990823            -0.997078            -0.995746   \n",
       "4            -0.994428            -0.996717            -0.994310   \n",
       "\n",
       "   tBodyGyroJerk-ropy-1  tBodyGyroJerk-ropy-2  tBodyGyroJerk-ropy-3  \\\n",
       "0             -0.589851             -0.709836             -0.572107   \n",
       "1             -0.600945             -0.770382             -0.608932   \n",
       "2             -0.543635             -0.694139             -0.588410   \n",
       "3             -0.562031             -0.753252             -0.661434   \n",
       "4             -0.617738             -0.704403             -0.632927   \n",
       "\n",
       "   tBodyGyroJerk-ARCoeff-1  tBodyGyroJerk-ARCoeff-2  tBodyGyroJerk-ARCoeff-3  \\\n",
       "0                 0.374661                -0.306094                 0.335506   \n",
       "1                -0.054419                -0.018812                 0.102935   \n",
       "2                -0.096686                 0.035827                 0.029453   \n",
       "3                 0.125102                -0.087236                 0.039850   \n",
       "4                 0.093674                -0.136549                 0.150872   \n",
       "\n",
       "   tBodyGyroJerk-ARCoeff-4  tBodyGyroJerk-ARCoeff-5  tBodyGyroJerk-ARCoeff-6  \\\n",
       "0                -0.079307                 0.989560                -0.454970   \n",
       "1                 0.006832                 0.096226                -0.101960   \n",
       "2                 0.058292                 0.119251                -0.060083   \n",
       "3                 0.300561                 0.117641                -0.044660   \n",
       "4                 0.176628                -0.119820                 0.184180   \n",
       "\n",
       "   tBodyGyroJerk-ARCoeff-7  tBodyGyroJerk-ARCoeff-8  tBodyGyroJerk-ARCoeff-9  \\\n",
       "0                 0.384435                 0.307638                 0.936232   \n",
       "1                 0.167918                 0.061896                 0.246317   \n",
       "2                 0.084466                 0.279313                 0.245340   \n",
       "3                 0.058701                 0.273300                 0.315490   \n",
       "4                -0.286495                 0.025785                 0.294895   \n",
       "\n",
       "   tBodyGyroJerk-ARCoeff-10  tBodyGyroJerk-ARCoeff-11  \\\n",
       "0                 -0.666282                  0.772202   \n",
       "1                 -0.309050                  0.394263   \n",
       "2                 -0.310683                  0.289735   \n",
       "3                 -0.282010                  0.251203   \n",
       "4                 -0.462128                  0.102026   \n",
       "\n",
       "   tBodyGyroJerk-ARCoeff-12  tBodyGyroJerk-Correlation-1  \\\n",
       "0                  0.529585                    -0.147221   \n",
       "1                  0.232358                     0.271492   \n",
       "2                  0.122531                     0.172437   \n",
       "3                  0.247187                     0.175717   \n",
       "4                  0.260335                     0.100763   \n",
       "\n",
       "   tBodyGyroJerk-Correlation-2  tBodyGyroJerk-Correlation-3  \\\n",
       "0                    -0.094462                     0.351206   \n",
       "1                    -0.024063                    -0.312058   \n",
       "2                     0.069475                    -0.284263   \n",
       "3                     0.137479                    -0.275518   \n",
       "4                     0.103889                    -0.252770   \n",
       "\n",
       "   tBodyAccMag-Mean-1  tBodyAccMag-STD-1  tBodyAccMag-Mad-1  \\\n",
       "0           -0.969546          -0.961540          -0.967646   \n",
       "1           -0.984484          -0.981042          -0.983105   \n",
       "2           -0.987805          -0.990189          -0.990798   \n",
       "3           -0.989940          -0.988966          -0.989351   \n",
       "4           -0.994669          -0.992678          -0.992968   \n",
       "\n",
       "   tBodyAccMag-Max-1  tBodyAccMag-Min-1  tBodyAccMag-SMA-1  \\\n",
       "0          -0.947236          -0.994174          -0.969546   \n",
       "1          -0.979658          -0.996348          -0.984484   \n",
       "2          -0.987446          -0.996348          -0.987805   \n",
       "3          -0.987446          -0.997687          -0.989940   \n",
       "4          -0.991914          -0.997687          -0.994669   \n",
       "\n",
       "   tBodyAccMag-Energy-1  tBodyAccMag-IQR-1  tBodyAccMag-ropy-1  \\\n",
       "0             -0.999150          -0.970525           -0.219620   \n",
       "1             -0.999709          -0.986893           -0.426713   \n",
       "2             -0.999818          -0.990025           -0.583114   \n",
       "3             -0.999849          -0.988460           -0.572296   \n",
       "4             -0.999929          -0.992688           -0.686673   \n",
       "\n",
       "   tBodyAccMag-ARCoeff-1  tBodyAccMag-ARCoeff-2  tBodyAccMag-ARCoeff-3  \\\n",
       "0              -0.124072              -0.058241               0.174306   \n",
       "1               0.129618              -0.146442               0.372186   \n",
       "2               0.086279              -0.110584               0.319569   \n",
       "3              -0.044082               0.012440               0.087376   \n",
       "4               0.228080              -0.318102               0.558097   \n",
       "\n",
       "   tBodyAccMag-ARCoeff-4  tGravityAccMag-Mean-1  tGravityAccMag-STD-1  \\\n",
       "0               0.201620              -0.969546             -0.961540   \n",
       "1              -0.406836              -0.984484             -0.981042   \n",
       "2              -0.290340              -0.987805             -0.990189   \n",
       "3               0.045674              -0.989940             -0.988966   \n",
       "4              -0.350552              -0.994669             -0.992678   \n",
       "\n",
       "   tGravityAccMag-Mad-1  tGravityAccMag-Max-1  tGravityAccMag-Min-1  \\\n",
       "0             -0.967646             -0.947236             -0.994174   \n",
       "1             -0.983105             -0.979658             -0.996348   \n",
       "2             -0.990798             -0.987446             -0.996348   \n",
       "3             -0.989351             -0.987446             -0.997687   \n",
       "4             -0.992968             -0.991914             -0.997687   \n",
       "\n",
       "   tGravityAccMag-SMA-1  tGravityAccMag-Energy-1  tGravityAccMag-IQR-1  \\\n",
       "0             -0.969546                -0.999150             -0.970525   \n",
       "1             -0.984484                -0.999709             -0.986893   \n",
       "2             -0.987805                -0.999818             -0.990025   \n",
       "3             -0.989940                -0.999849             -0.988460   \n",
       "4             -0.994669                -0.999929             -0.992688   \n",
       "\n",
       "   tGravityAccMag-ropy-1  tGravityAccMag-ARCoeff-1  tGravityAccMag-ARCoeff-2  \\\n",
       "0              -0.219620                 -0.124072                 -0.058241   \n",
       "1              -0.426713                  0.129618                 -0.146442   \n",
       "2              -0.583114                  0.086279                 -0.110584   \n",
       "3              -0.572296                 -0.044082                  0.012440   \n",
       "4              -0.686673                  0.228080                 -0.318102   \n",
       "\n",
       "   tGravityAccMag-ARCoeff-3  tGravityAccMag-ARCoeff-4  tBodyAccJerkMag-Mean-1  \\\n",
       "0                  0.174306                  0.201620               -0.994088   \n",
       "1                  0.372186                 -0.406836               -0.992035   \n",
       "2                  0.319569                 -0.290340               -0.989312   \n",
       "3                  0.087376                  0.045674               -0.993860   \n",
       "4                  0.558097                 -0.350552               -0.994262   \n",
       "\n",
       "   tBodyAccJerkMag-STD-1  tBodyAccJerkMag-Mad-1  tBodyAccJerkMag-Max-1  \\\n",
       "0              -0.994309              -0.994421              -0.992436   \n",
       "1              -0.991667              -0.992637              -0.988313   \n",
       "2              -0.990370              -0.990572              -0.988313   \n",
       "3              -0.993354              -0.993116              -0.993053   \n",
       "4              -0.995827              -0.996028              -0.992934   \n",
       "\n",
       "   tBodyAccJerkMag-Min-1  tBodyAccJerkMag-SMA-1  tBodyAccJerkMag-Energy-1  \\\n",
       "0              -0.991208              -0.994088                 -0.999901   \n",
       "1              -0.991208              -0.992035                 -0.999855   \n",
       "2              -0.993012              -0.989312                 -0.999799   \n",
       "3              -0.993012              -0.993860                 -0.999893   \n",
       "4              -0.981325              -0.994262                 -0.999911   \n",
       "\n",
       "   tBodyAccJerkMag-IQR-1  tBodyAccJerkMag-ropy-1  tBodyAccJerkMag-ARCoeff-1  \\\n",
       "0              -0.992972               -0.863284                   0.303277   \n",
       "1              -0.993523               -0.819800                   0.474054   \n",
       "2              -0.990022               -0.794758                   0.659570   \n",
       "3              -0.991774               -0.792195                   0.671134   \n",
       "4              -0.996885               -0.849896                   0.330992   \n",
       "\n",
       "   tBodyAccJerkMag-ARCoeff-2  tBodyAccJerkMag-ARCoeff-3  \\\n",
       "0                  -0.266169                  -0.199724   \n",
       "1                  -0.274180                  -0.051102   \n",
       "2                  -0.290077                  -0.220866   \n",
       "3                  -0.276814                  -0.314598   \n",
       "4                  -0.195650                   0.020859   \n",
       "\n",
       "   tBodyAccJerkMag-ARCoeff-4  tBodyGyroMag-Mean-1  tBodyGyroMag-STD-1  \\\n",
       "0                   0.067560            -0.968904           -0.964335   \n",
       "1                  -0.302883            -0.980628           -0.983754   \n",
       "2                  -0.357722            -0.976262           -0.986051   \n",
       "3                  -0.283585            -0.982005           -0.987351   \n",
       "4                  -0.302842            -0.985148           -0.989063   \n",
       "\n",
       "   tBodyGyroMag-Mad-1  tBodyGyroMag-Max-1  tBodyGyroMag-Min-1  \\\n",
       "0           -0.959638           -0.975108           -0.995009   \n",
       "1           -0.983010           -0.984665           -0.995009   \n",
       "2           -0.985328           -0.984665           -0.980023   \n",
       "3           -0.986436           -0.989926           -0.989178   \n",
       "4           -0.990195           -0.986956           -0.989178   \n",
       "\n",
       "   tBodyGyroMag-SMA-1  tBodyGyroMag-Energy-1  tBodyGyroMag-IQR-1  \\\n",
       "0           -0.968904              -0.999286           -0.954864   \n",
       "1           -0.980628              -0.999724           -0.984447   \n",
       "2           -0.976262              -0.999640           -0.984982   \n",
       "3           -0.982005              -0.999768           -0.985439   \n",
       "4           -0.985148              -0.999829           -0.992924   \n",
       "\n",
       "   tBodyGyroMag-ropy-1  tBodyGyroMag-ARCoeff-1  tBodyGyroMag-ARCoeff-2  \\\n",
       "0             0.189420                0.556827               -0.830369   \n",
       "1            -0.044469               -0.164997               -0.155030   \n",
       "2            -0.070838               -0.166366               -0.083204   \n",
       "3            -0.086599               -0.143887               -0.087854   \n",
       "4            -0.172920               -0.175559               -0.051251   \n",
       "\n",
       "   tBodyGyroMag-ARCoeff-3  tBodyGyroMag-ARCoeff-4  tBodyGyroJerkMag-Mean-1  \\\n",
       "0                0.302198                0.435743                -0.994300   \n",
       "1                0.251452                0.095096                -0.995175   \n",
       "2                0.167202                0.055410                -0.993455   \n",
       "3                0.210618               -0.062199                -0.995554   \n",
       "4                0.133124                0.052824                -0.995860   \n",
       "\n",
       "   tBodyGyroJerkMag-STD-1  tBodyGyroJerkMag-Mad-1  tBodyGyroJerkMag-Max-1  \\\n",
       "0               -0.991368               -0.993143               -0.988936   \n",
       "1               -0.996102               -0.995839               -0.996545   \n",
       "2               -0.995091               -0.994859               -0.995360   \n",
       "3               -0.995267               -0.995305               -0.995360   \n",
       "4               -0.995258               -0.996307               -0.992389   \n",
       "\n",
       "   tBodyGyroJerkMag-Min-1  tBodyGyroJerkMag-SMA-1  tBodyGyroJerkMag-Energy-1  \\\n",
       "0               -0.993486               -0.994300                  -0.999949   \n",
       "1               -0.992006               -0.995175                  -0.999970   \n",
       "2               -0.997652               -0.993455                  -0.999955   \n",
       "3               -0.997652               -0.995554                  -0.999970   \n",
       "4               -0.992193               -0.995860                  -0.999972   \n",
       "\n",
       "   tBodyGyroJerkMag-IQR-1  tBodyGyroJerkMag-ropy-1  \\\n",
       "0               -0.994547                -0.619768   \n",
       "1               -0.994819                -0.730722   \n",
       "2               -0.993988                -0.662914   \n",
       "3               -0.995001                -0.683016   \n",
       "4               -0.996484                -0.720171   \n",
       "\n",
       "   tBodyGyroJerkMag-ARCoeff-1  tBodyGyroJerkMag-ARCoeff-2  \\\n",
       "0                    0.329124                   -0.149682   \n",
       "1                    0.250154                   -0.150949   \n",
       "2                    0.362403                   -0.126549   \n",
       "3                    0.615219                   -0.240517   \n",
       "4                    0.366022                   -0.236366   \n",
       "\n",
       "   tBodyGyroJerkMag-ARCoeff-3  tBodyGyroJerkMag-ARCoeff-4  fBodyAcc-Mean-1  \\\n",
       "0                   -0.218394                   -0.037588        -0.994810   \n",
       "1                   -0.173089                    0.036486        -0.997477   \n",
       "2                   -0.297775                   -0.022304        -0.993621   \n",
       "3                   -0.398727                   -0.074283        -0.995517   \n",
       "4                   -0.218272                    0.070137        -0.997313   \n",
       "\n",
       "   fBodyAcc-Mean-2  fBodyAcc-Mean-3  fBodyAcc-STD-1  fBodyAcc-STD-2  \\\n",
       "0        -0.982984        -0.939455       -0.995272       -0.989848   \n",
       "1        -0.976852        -0.973713       -0.998530       -0.984806   \n",
       "2        -0.972511        -0.983495       -0.996163       -0.979014   \n",
       "3        -0.983570        -0.991271       -0.996162       -0.989917   \n",
       "4        -0.982301        -0.988561       -0.998456       -0.988002   \n",
       "\n",
       "   fBodyAcc-STD-3  fBodyAcc-Mad-1  fBodyAcc-Mad-2  fBodyAcc-Mad-3  \\\n",
       "0       -0.940334       -0.996824       -0.984703       -0.933409   \n",
       "1       -0.971607       -0.997825       -0.977187       -0.969728   \n",
       "2       -0.985324       -0.994033       -0.972005       -0.983530   \n",
       "3       -0.993689       -0.994483       -0.983026       -0.990373   \n",
       "4       -0.994759       -0.997661       -0.982559       -0.992282   \n",
       "\n",
       "   fBodyAcc-Max-1  fBodyAcc-Max-2  fBodyAcc-Max-3  fBodyAcc-Min-1  \\\n",
       "0       -0.993664       -0.990217       -0.942332       -0.993953   \n",
       "1       -0.999279       -0.984658       -0.974086       -0.998271   \n",
       "2       -0.998066       -0.978326       -0.983962       -0.997085   \n",
       "3       -0.997311       -0.992651       -0.993509       -0.994423   \n",
       "4       -0.999185       -0.988847       -0.994188       -0.994959   \n",
       "\n",
       "   fBodyAcc-Min-2  fBodyAcc-Min-3  fBodyAcc-SMA-1  fBodyAcc-Energy-1  \\\n",
       "0       -0.993448       -0.923441       -0.974733          -0.999969   \n",
       "1       -0.992723       -0.989528       -0.985812          -0.999991   \n",
       "2       -0.989925       -0.990900       -0.985821          -0.999970   \n",
       "3       -0.990261       -0.996592       -0.992812          -0.999976   \n",
       "4       -0.991790       -0.974508       -0.992423          -0.999991   \n",
       "\n",
       "   fBodyAcc-Energy-2  fBodyAcc-Energy-3  fBodyAcc-IQR-1  fBodyAcc-IQR-2  \\\n",
       "0          -0.999850          -0.997308       -0.996768       -0.989709   \n",
       "1          -0.999735          -0.999246       -0.995706       -0.980784   \n",
       "2          -0.999584          -0.999702       -0.989408       -0.977242   \n",
       "3          -0.999854          -0.999896       -0.991282       -0.991902   \n",
       "4          -0.999819          -0.999894       -0.994601       -0.988180   \n",
       "\n",
       "   fBodyAcc-IQR-3  fBodyAcc-ropy-1  fBodyAcc-ropy-2  fBodyAcc-ropy-3  \\\n",
       "0       -0.990807        -0.946357        -0.904748        -0.591302   \n",
       "1       -0.988588        -1.000000        -0.904748        -0.758409   \n",
       "2       -0.984109        -1.000000        -0.815786        -0.813513   \n",
       "3       -0.990877        -1.000000        -0.870398        -0.944190   \n",
       "4       -0.989173        -1.000000        -0.870398        -0.944190   \n",
       "\n",
       "   fBodyAcc-MaxInds-1  fBodyAcc-MaxInds-2  fBodyAcc-MaxInds-3  \\\n",
       "0           -1.000000                -1.0                -1.0   \n",
       "1            0.133333                -1.0                -1.0   \n",
       "2           -0.933333                -1.0                -1.0   \n",
       "3           -1.000000                -1.0                -1.0   \n",
       "4            0.133333                -1.0                -1.0   \n",
       "\n",
       "   fBodyAcc-MeanFreq-1  fBodyAcc-MeanFreq-2  fBodyAcc-MeanFreq-3  \\\n",
       "0             0.362082             0.159191             0.048350   \n",
       "1             0.380322             0.074526             0.084554   \n",
       "2             0.238109            -0.027745             0.177594   \n",
       "3             0.145592             0.110153             0.276419   \n",
       "4             0.292909             0.088919             0.635286   \n",
       "\n",
       "   fBodyAcc-Skewness-1  fBodyAcc-Kurtosis-1  fBodyAcc-Skewness-2  \\\n",
       "0             0.141770            -0.151402            -0.260649   \n",
       "1            -0.692616            -0.954757            -0.084198   \n",
       "2            -0.727294            -0.966128             0.135565   \n",
       "3            -0.599216            -0.909159            -0.508913   \n",
       "4            -0.677076            -0.952080            -0.219165   \n",
       "\n",
       "   fBodyAcc-Kurtosis-2  fBodyAcc-Skewness-3  fBodyAcc-Kurtosis-3  \\\n",
       "0            -0.551542             0.253214            -0.019604   \n",
       "1            -0.325824             0.068740            -0.298495   \n",
       "2            -0.087110            -0.029868            -0.297866   \n",
       "3            -0.804686            -0.536337            -0.776124   \n",
       "4            -0.526645            -0.554467            -0.795127   \n",
       "\n",
       "   fBodyAcc-BandsEnergyOld-1  fBodyAcc-BandsEnergyOld-2  \\\n",
       "0                  -0.999963                  -0.999987   \n",
       "1                  -0.999996                  -0.999983   \n",
       "2                  -0.999989                  -0.999962   \n",
       "3                  -0.999988                  -0.999978   \n",
       "4                  -0.999994                  -0.999987   \n",
       "\n",
       "   fBodyAcc-BandsEnergyOld-3  fBodyAcc-BandsEnergyOld-4  \\\n",
       "0                  -0.999979                  -0.999962   \n",
       "1                  -0.999944                  -0.999970   \n",
       "2                  -0.999815                  -0.999847   \n",
       "3                  -0.999834                  -0.999871   \n",
       "4                  -0.999936                  -0.999945   \n",
       "\n",
       "   fBodyAcc-BandsEnergyOld-5  fBodyAcc-BandsEnergyOld-6  \\\n",
       "0                  -0.999932                  -0.999726   \n",
       "1                  -0.999919                  -0.999867   \n",
       "2                  -0.999939                  -0.999923   \n",
       "3                  -0.999992                  -0.999950   \n",
       "4                  -0.999969                  -0.999936   \n",
       "\n",
       "   fBodyAcc-BandsEnergyOld-7  fBodyAcc-BandsEnergyOld-8  \\\n",
       "0                  -0.999670                  -0.999986   \n",
       "1                  -0.999965                  -0.999999   \n",
       "2                  -0.999923                  -0.999997   \n",
       "3                  -0.999964                  -0.999996   \n",
       "4                  -0.999970                  -0.999986   \n",
       "\n",
       "   fBodyAcc-BandsEnergyOld-9  fBodyAcc-BandsEnergyOld-10  \\\n",
       "0                  -0.999968                   -0.999977   \n",
       "1                  -0.999994                   -0.999949   \n",
       "2                  -0.999982                   -0.999802   \n",
       "3                  -0.999986                   -0.999825   \n",
       "4                  -0.999993                   -0.999935   \n",
       "\n",
       "   fBodyAcc-BandsEnergyOld-11  fBodyAcc-BandsEnergyOld-12  \\\n",
       "0                   -0.999869                   -0.999776   \n",
       "1                   -0.999913                   -0.999977   \n",
       "2                   -0.999947                   -0.999948   \n",
       "3                   -0.999990                   -0.999975   \n",
       "4                   -0.999970                   -0.999975   \n",
       "\n",
       "   fBodyAcc-BandsEnergyOld-13  fBodyAcc-BandsEnergyOld-14  \\\n",
       "0                   -0.999971                   -0.999918   \n",
       "1                   -0.999992                   -0.999944   \n",
       "2                   -0.999973                   -0.999873   \n",
       "3                   -0.999978                   -0.999911   \n",
       "4                   -0.999991                   -0.999955   \n",
       "\n",
       "   fBodyAcc-BandsEnergyOld-15  fBodyAcc-BandsEnergyOld-16  \\\n",
       "0                   -0.999885                   -0.999860   \n",
       "1                   -0.999805                   -0.999813   \n",
       "2                   -0.999667                   -0.999715   \n",
       "3                   -0.999906                   -0.999750   \n",
       "4                   -0.999854                   -0.999860   \n",
       "\n",
       "   fBodyAcc-BandsEnergyOld-17  fBodyAcc-BandsEnergyOld-18  \\\n",
       "0                   -0.999869                   -0.999862   \n",
       "1                   -0.999571                   -0.999873   \n",
       "2                   -0.999660                   -0.999817   \n",
       "3                   -0.999946                   -0.999939   \n",
       "4                   -0.999865                   -0.999897   \n",
       "\n",
       "   fBodyAcc-BandsEnergyOld-19  fBodyAcc-BandsEnergyOld-20  \\\n",
       "0                   -0.999746                   -0.999721   \n",
       "1                   -0.999557                   -0.999726   \n",
       "2                   -0.999644                   -0.999668   \n",
       "3                   -0.999562                   -0.999888   \n",
       "4                   -0.999659                   -0.999701   \n",
       "\n",
       "   fBodyAcc-BandsEnergyOld-21  fBodyAcc-BandsEnergyOld-22  \\\n",
       "0                   -0.999493                   -0.999814   \n",
       "1                   -0.999566                   -0.999905   \n",
       "2                   -0.999616                   -0.999880   \n",
       "3                   -0.999513                   -0.999866   \n",
       "4                   -0.999517                   -0.999911   \n",
       "\n",
       "   fBodyAcc-BandsEnergyOld-23  fBodyAcc-BandsEnergyOld-24  \\\n",
       "0                   -0.999861                   -0.999838   \n",
       "1                   -0.999770                   -0.999553   \n",
       "2                   -0.999612                   -0.999623   \n",
       "3                   -0.999857                   -0.999935   \n",
       "4                   -0.999830                   -0.999844   \n",
       "\n",
       "   fBodyAcc-BandsEnergyOld-25  fBodyAcc-BandsEnergyOld-26  \\\n",
       "0                   -0.999742                   -0.999615   \n",
       "1                   -0.999606                   -0.999698   \n",
       "2                   -0.999647                   -0.999718   \n",
       "3                   -0.999671                   -0.999649   \n",
       "4                   -0.999670                   -0.999671   \n",
       "\n",
       "   fBodyAcc-BandsEnergyOld-27  fBodyAcc-BandsEnergyOld-28  \\\n",
       "0                   -0.999856                   -0.999839   \n",
       "1                   -0.999741                   -0.999804   \n",
       "2                   -0.999591                   -0.999775   \n",
       "3                   -0.999858                   -0.999873   \n",
       "4                   -0.999824                   -0.999842   \n",
       "\n",
       "   fBodyAcc-BandsEnergyOld-29  fBodyAcc-BandsEnergyOld-30  \\\n",
       "0                   -0.997422                   -0.999471   \n",
       "1                   -0.999288                   -0.999764   \n",
       "2                   -0.999752                   -0.999720   \n",
       "3                   -0.999920                   -0.999770   \n",
       "4                   -0.999919                   -0.999829   \n",
       "\n",
       "   fBodyAcc-BandsEnergyOld-31  fBodyAcc-BandsEnergyOld-32  \\\n",
       "0                   -0.999662                   -0.999642   \n",
       "1                   -0.999692                   -0.999875   \n",
       "2                   -0.999718                   -0.999798   \n",
       "3                   -0.999810                   -0.999929   \n",
       "4                   -0.999825                   -0.999786   \n",
       "\n",
       "   fBodyAcc-BandsEnergyOld-33  fBodyAcc-BandsEnergyOld-34  \\\n",
       "0                   -0.999297                   -0.997892   \n",
       "1                   -0.999669                   -0.999448   \n",
       "2                   -0.999756                   -0.999629   \n",
       "3                   -0.999862                   -0.999666   \n",
       "4                   -0.999749                   -0.999656   \n",
       "\n",
       "   fBodyAcc-BandsEnergyOld-35  fBodyAcc-BandsEnergyOld-36  \\\n",
       "0                   -0.995932                   -0.995514   \n",
       "1                   -0.998930                   -0.998849   \n",
       "2                   -0.999686                   -0.999919   \n",
       "3                   -0.999681                   -0.999985   \n",
       "4                   -0.999026                   -0.999479   \n",
       "\n",
       "   fBodyAcc-BandsEnergyOld-37  fBodyAcc-BandsEnergyOld-38  \\\n",
       "0                   -0.997367                   -0.999685   \n",
       "1                   -0.999270                   -0.999789   \n",
       "2                   -0.999724                   -0.999778   \n",
       "3                   -0.999900                   -0.999884   \n",
       "4                   -0.999909                   -0.999841   \n",
       "\n",
       "   fBodyAcc-BandsEnergyOld-39  fBodyAcc-BandsEnergyOld-40  \\\n",
       "0                   -0.998918                   -0.995667   \n",
       "1                   -0.999624                   -0.998873   \n",
       "2                   -0.999742                   -0.999756   \n",
       "3                   -0.999837                   -0.999774   \n",
       "4                   -0.999743                   -0.999145   \n",
       "\n",
       "   fBodyAcc-BandsEnergyOld-41  fBodyAcc-BandsEnergyOld-42  \\\n",
       "0                   -0.997348                   -0.999454   \n",
       "1                   -0.999249                   -0.999822   \n",
       "2                   -0.999705                   -0.999800   \n",
       "3                   -0.999890                   -0.999921   \n",
       "4                   -0.999900                   -0.999792   \n",
       "\n",
       "   fBodyAccJerk-Mean-1  fBodyAccJerk-Mean-2  fBodyAccJerk-Mean-3  \\\n",
       "0            -0.992332            -0.987170            -0.989644   \n",
       "1            -0.995032            -0.981311            -0.989687   \n",
       "2            -0.990994            -0.981642            -0.987514   \n",
       "3            -0.994447            -0.988727            -0.991302   \n",
       "4            -0.996292            -0.988790            -0.990572   \n",
       "\n",
       "   fBodyAccJerk-STD-1  fBodyAccJerk-STD-2  fBodyAccJerk-STD-3  \\\n",
       "0           -0.995821           -0.990936           -0.996462   \n",
       "1           -0.996652           -0.982084           -0.992039   \n",
       "2           -0.991249           -0.981415           -0.989828   \n",
       "3           -0.991378           -0.986927           -0.993802   \n",
       "4           -0.996903           -0.988607           -0.992318   \n",
       "\n",
       "   fBodyAccJerk-Mad-1  fBodyAccJerk-Mad-2  fBodyAccJerk-Mad-3  \\\n",
       "0           -0.993805           -0.990519           -0.997124   \n",
       "1           -0.994977           -0.982929           -0.991773   \n",
       "2           -0.987751           -0.981091           -0.987854   \n",
       "3           -0.989431           -0.987145           -0.993922   \n",
       "4           -0.996091           -0.988867           -0.991804   \n",
       "\n",
       "   fBodyAccJerk-Max-1  fBodyAccJerk-Max-2  fBodyAccJerk-Max-3  \\\n",
       "0           -0.996740           -0.991975           -0.993157   \n",
       "1           -0.997428           -0.984923           -0.993102   \n",
       "2           -0.995166           -0.985351           -0.993827   \n",
       "3           -0.993405           -0.987874           -0.994116   \n",
       "4           -0.997013           -0.990373           -0.995057   \n",
       "\n",
       "   fBodyAccJerk-Min-1  fBodyAccJerk-Min-2  fBodyAccJerk-Min-3  \\\n",
       "0           -0.998353           -0.991108           -0.959896   \n",
       "1           -0.997921           -0.982518           -0.986850   \n",
       "2           -0.997487           -0.998571           -0.997565   \n",
       "3           -0.997907           -0.999766           -0.965392   \n",
       "4           -0.995801           -0.996112           -0.995990   \n",
       "\n",
       "   fBodyAccJerk-SMA-1  fBodyAccJerk-Energy-1  fBodyAccJerk-Energy-2  \\\n",
       "0           -0.990984              -0.999935              -0.999820   \n",
       "1           -0.990320              -0.999960              -0.999640   \n",
       "2           -0.987706              -0.999894              -0.999637   \n",
       "3           -0.993127              -0.999924              -0.999803   \n",
       "4           -0.993729              -0.999969              -0.999821   \n",
       "\n",
       "   fBodyAccJerk-Energy-3  fBodyAccJerk-IQR-1  fBodyAccJerk-IQR-2  \\\n",
       "0              -0.999884           -0.992164           -0.991420   \n",
       "1              -0.999847           -0.991981           -0.985267   \n",
       "2              -0.999795           -0.980960           -0.984811   \n",
       "3              -0.999883           -0.990915           -0.990731   \n",
       "4              -0.999860           -0.995278           -0.992454   \n",
       "\n",
       "   fBodyAccJerk-IQR-3  fBodyAccJerk-ropy-1  fBodyAccJerk-ropy-2  \\\n",
       "0           -0.995502                 -1.0                 -1.0   \n",
       "1           -0.990314                 -1.0                 -1.0   \n",
       "2           -0.981632                 -1.0                 -1.0   \n",
       "3           -0.992552                 -1.0                 -1.0   \n",
       "4           -0.985445                 -1.0                 -1.0   \n",
       "\n",
       "   fBodyAccJerk-ropy-3  fBodyAccJerk-MaxInds-1  fBodyAccJerk-MaxInds-2  \\\n",
       "0                 -1.0                    1.00                   -0.24   \n",
       "1                 -1.0                   -0.32                   -0.12   \n",
       "2                 -1.0                   -0.16                   -0.48   \n",
       "3                 -1.0                   -0.12                   -0.56   \n",
       "4                 -1.0                   -0.32                   -0.08   \n",
       "\n",
       "   fBodyAccJerk-MaxInds-3  fBodyAccJerk-MeanFreq-1  fBodyAccJerk-MeanFreq-2  \\\n",
       "0                   -1.00                 0.700793                 0.212390   \n",
       "1                   -0.32                 0.462666                -0.036724   \n",
       "2                   -0.28                 0.014295                -0.168418   \n",
       "3                   -0.28                -0.058120                -0.073812   \n",
       "4                    0.04                 0.157893                 0.088422   \n",
       "\n",
       "   fBodyAccJerk-MeanFreq-3  fBodyAccJerk-Skewness-1  fBodyAccJerk-Kurtosis-1  \\\n",
       "0                 0.364436                -0.717929                -0.920371   \n",
       "1                 0.191314                -0.643934                -0.927081   \n",
       "2                 0.169826                -0.608091                -0.940342   \n",
       "3                 0.281904                -0.274417                -0.772577   \n",
       "4                 0.389190                -0.534882                -0.828823   \n",
       "\n",
       "   fBodyAccJerk-Skewness-2  fBodyAccJerk-Kurtosis-2  fBodyAccJerk-Skewness-3  \\\n",
       "0                -0.643844                -0.936310                -0.483803   \n",
       "1                -0.469184                -0.850586                -0.625492   \n",
       "2                -0.588128                -0.912985                -0.766877   \n",
       "3                -0.450088                -0.829635                -0.550439   \n",
       "4                -0.554500                -0.903908                -0.729553   \n",
       "\n",
       "   fBodyAccJerk-Kurtosis-3  fBodyAccJerk-BandsEnergyOld-1  \\\n",
       "0                -0.818680                      -0.999987   \n",
       "1                -0.918674                      -0.999996   \n",
       "2                -0.976747                      -0.999994   \n",
       "3                -0.898202                      -0.999998   \n",
       "4                -0.964136                      -0.999995   \n",
       "\n",
       "   fBodyAccJerk-BandsEnergyOld-2  fBodyAccJerk-BandsEnergyOld-3  \\\n",
       "0                      -0.999980                      -0.999975   \n",
       "1                      -0.999980                      -0.999949   \n",
       "2                      -0.999945                      -0.999827   \n",
       "3                      -0.999966                      -0.999843   \n",
       "4                      -0.999984                      -0.999947   \n",
       "\n",
       "   fBodyAccJerk-BandsEnergyOld-4  fBodyAccJerk-BandsEnergyOld-5  \\\n",
       "0                      -0.999955                      -0.999919   \n",
       "1                      -0.999968                      -0.999910   \n",
       "2                      -0.999841                      -0.999922   \n",
       "3                      -0.999865                      -0.999996   \n",
       "4                      -0.999939                      -0.999962   \n",
       "\n",
       "   fBodyAccJerk-BandsEnergyOld-6  fBodyAccJerk-BandsEnergyOld-7  \\\n",
       "0                      -0.999640                      -0.999484   \n",
       "1                      -0.999814                      -0.999921   \n",
       "2                      -0.999906                      -0.999874   \n",
       "3                      -0.999930                      -0.999942   \n",
       "4                      -0.999929                      -0.999959   \n",
       "\n",
       "   fBodyAccJerk-BandsEnergyOld-8  fBodyAccJerk-BandsEnergyOld-9  \\\n",
       "0                      -0.999961                      -0.999983   \n",
       "1                      -0.999961                      -0.999987   \n",
       "2                      -0.999997                      -0.999963   \n",
       "3                      -0.999999                      -0.999978   \n",
       "4                      -0.999995                      -0.999989   \n",
       "\n",
       "   fBodyAccJerk-BandsEnergyOld-10  fBodyAccJerk-BandsEnergyOld-11  \\\n",
       "0                       -0.999971                       -0.999817   \n",
       "1                       -0.999957                       -0.999883   \n",
       "2                       -0.999804                       -0.999929   \n",
       "3                       -0.999827                       -0.999988   \n",
       "4                       -0.999942                       -0.999965   \n",
       "\n",
       "   fBodyAccJerk-BandsEnergyOld-12  fBodyAccJerk-BandsEnergyOld-13  \\\n",
       "0                       -0.999487                       -0.999979   \n",
       "1                       -0.999917                       -0.999973   \n",
       "2                       -0.999878                       -0.999907   \n",
       "3                       -0.999945                       -0.999925   \n",
       "4                       -0.999960                       -0.999973   \n",
       "\n",
       "   fBodyAccJerk-BandsEnergyOld-14  fBodyAccJerk-BandsEnergyOld-15  \\\n",
       "0                       -0.999853                       -0.999933   \n",
       "1                       -0.999907                       -0.999861   \n",
       "2                       -0.999844                       -0.999820   \n",
       "3                       -0.999902                       -0.999895   \n",
       "4                       -0.999940                       -0.999925   \n",
       "\n",
       "   fBodyAccJerk-BandsEnergyOld-16  fBodyAccJerk-BandsEnergyOld-17  \\\n",
       "0                       -0.999900                       -0.999824   \n",
       "1                       -0.999827                       -0.999456   \n",
       "2                       -0.999744                       -0.999559   \n",
       "3                       -0.999797                       -0.999888   \n",
       "4                       -0.999878                       -0.999810   \n",
       "\n",
       "   fBodyAccJerk-BandsEnergyOld-18  fBodyAccJerk-BandsEnergyOld-19  \\\n",
       "0                       -0.999857                       -0.999733   \n",
       "1                       -0.999828                       -0.999615   \n",
       "2                       -0.999836                       -0.999673   \n",
       "3                       -0.999903                       -0.999687   \n",
       "4                       -0.999929                       -0.999734   \n",
       "\n",
       "   fBodyAccJerk-BandsEnergyOld-20  fBodyAccJerk-BandsEnergyOld-21  \\\n",
       "0                       -0.999727                       -0.999567   \n",
       "1                       -0.999684                       -0.999576   \n",
       "2                       -0.999626                       -0.999704   \n",
       "3                       -0.999845                       -0.999693   \n",
       "4                       -0.999768                       -0.999503   \n",
       "\n",
       "   fBodyAccJerk-BandsEnergyOld-22  fBodyAccJerk-BandsEnergyOld-23  \\\n",
       "0                       -0.999765                       -0.999900   \n",
       "1                       -0.999937                       -0.999817   \n",
       "2                       -0.999993                       -0.999732   \n",
       "3                       -1.000000                       -0.999798   \n",
       "4                       -0.999992                       -0.999878   \n",
       "\n",
       "   fBodyAccJerk-BandsEnergyOld-24  fBodyAccJerk-BandsEnergyOld-25  \\\n",
       "0                       -0.999813                       -0.999705   \n",
       "1                       -0.999530                       -0.999591   \n",
       "2                       -0.999609                       -0.999613   \n",
       "3                       -0.999881                       -0.999718   \n",
       "4                       -0.999837                       -0.999723   \n",
       "\n",
       "   fBodyAccJerk-BandsEnergyOld-26  fBodyAccJerk-BandsEnergyOld-27  \\\n",
       "0                       -0.999596                       -0.999852   \n",
       "1                       -0.999626                       -0.999630   \n",
       "2                       -0.999744                       -0.999613   \n",
       "3                       -0.999736                       -0.999806   \n",
       "4                       -0.999568                       -0.999830   \n",
       "\n",
       "   fBodyAccJerk-BandsEnergyOld-28  fBodyAccJerk-BandsEnergyOld-29  \\\n",
       "0                       -0.999822                       -0.999399   \n",
       "1                       -0.999759                       -0.999858   \n",
       "2                       -0.999773                       -0.999870   \n",
       "3                       -0.999856                       -0.999884   \n",
       "4                       -0.999874                       -0.999844   \n",
       "\n",
       "   fBodyAccJerk-BandsEnergyOld-30  fBodyAccJerk-BandsEnergyOld-31  \\\n",
       "0                       -0.999763                       -0.999958   \n",
       "1                       -0.999844                       -0.999795   \n",
       "2                       -0.999782                       -0.999740   \n",
       "3                       -0.999722                       -0.999841   \n",
       "4                       -0.999851                       -0.999890   \n",
       "\n",
       "   fBodyAccJerk-BandsEnergyOld-32  fBodyAccJerk-BandsEnergyOld-33  \\\n",
       "0                       -0.999944                       -0.999825   \n",
       "1                       -0.999795                       -0.999805   \n",
       "2                       -0.999781                       -0.999758   \n",
       "3                       -0.999937                       -0.999856   \n",
       "4                       -0.999812                       -0.999746   \n",
       "\n",
       "   fBodyAccJerk-BandsEnergyOld-34  fBodyAccJerk-BandsEnergyOld-35  \\\n",
       "0                       -0.999814                       -0.998776   \n",
       "1                       -0.999769                       -0.999632   \n",
       "2                       -0.999626                       -0.999483   \n",
       "3                       -0.999735                       -0.999199   \n",
       "4                       -0.999688                       -0.999165   \n",
       "\n",
       "   fBodyAccJerk-BandsEnergyOld-36  fBodyAccJerk-BandsEnergyOld-37  \\\n",
       "0                       -0.998578                       -0.999617   \n",
       "1                       -0.999954                       -0.999850   \n",
       "2                       -0.999996                       -0.999800   \n",
       "3                       -0.999662                       -0.999754   \n",
       "4                       -0.999982                       -0.999850   \n",
       "\n",
       "   fBodyAccJerk-BandsEnergyOld-38  fBodyAccJerk-BandsEnergyOld-39  \\\n",
       "0                       -0.999984                       -0.999832   \n",
       "1                       -0.999828                       -0.999804   \n",
       "2                       -0.999792                       -0.999725   \n",
       "3                       -0.999921                       -0.999832   \n",
       "4                       -0.999884                       -0.999734   \n",
       "\n",
       "   fBodyAccJerk-BandsEnergyOld-40  fBodyAccJerk-BandsEnergyOld-41  \\\n",
       "0                       -0.998676                       -0.999844   \n",
       "1                       -0.999647                       -0.999835   \n",
       "2                       -0.999509                       -0.999775   \n",
       "3                       -0.999202                       -0.999825   \n",
       "4                       -0.999206                       -0.999901   \n",
       "\n",
       "   fBodyAccJerk-BandsEnergyOld-42  fBodyGyro-Mean-1  fBodyGyro-Mean-2  \\\n",
       "0                       -0.999922         -0.986590         -0.981771   \n",
       "1                       -0.999821         -0.977402         -0.992540   \n",
       "2                       -0.999781         -0.975448         -0.993724   \n",
       "3                       -0.999918         -0.987125         -0.993611   \n",
       "4                       -0.999804         -0.982462         -0.992993   \n",
       "\n",
       "   fBodyGyro-Mean-3  fBodyGyro-STD-1  fBodyGyro-STD-2  fBodyGyro-STD-3  \\\n",
       "0         -0.989356        -0.985028        -0.973907        -0.994979   \n",
       "1         -0.989447        -0.984899        -0.987189        -0.991471   \n",
       "2         -0.986597        -0.976637        -0.993420        -0.989443   \n",
       "3         -0.987033        -0.992805        -0.991667        -0.990557   \n",
       "4         -0.988508        -0.985977        -0.991977        -0.989952   \n",
       "\n",
       "   fBodyGyro-Mad-1  fBodyGyro-Mad-2  fBodyGyro-Mad-3  fBodyGyro-Max-1  \\\n",
       "0        -0.987340        -0.983652        -0.992309        -0.981948   \n",
       "1        -0.980642        -0.991873        -0.987922        -0.988294   \n",
       "2        -0.977138        -0.993743        -0.984987        -0.974915   \n",
       "3        -0.990273        -0.993497        -0.986483        -0.994926   \n",
       "4        -0.983650        -0.993379        -0.986418        -0.988846   \n",
       "\n",
       "   fBodyGyro-Max-2  fBodyGyro-Max-3  fBodyGyro-Min-1  fBodyGyro-Min-2  \\\n",
       "0        -0.972298        -0.995380        -0.997569        -0.984087   \n",
       "1        -0.984814        -0.990999        -0.986892        -0.999056   \n",
       "2        -0.995013        -0.992034        -0.988312        -0.997235   \n",
       "3        -0.991829        -0.992946        -0.989701        -0.994346   \n",
       "4        -0.993255        -0.992181        -0.993738        -0.993727   \n",
       "\n",
       "   fBodyGyro-Min-3  fBodyGyro-SMA-1  fBodyGyro-Energy-1  fBodyGyro-Energy-2  \\\n",
       "0        -0.994326        -0.985259           -0.999864           -0.999666   \n",
       "1        -0.994405        -0.986852           -0.999825           -0.999911   \n",
       "2        -0.993627        -0.985992           -0.999673           -0.999962   \n",
       "3        -0.993135        -0.990327           -0.999946           -0.999951   \n",
       "4        -0.994826        -0.988689           -0.999862           -0.999951   \n",
       "\n",
       "   fBodyGyro-Energy-3  fBodyGyro-IQR-1  fBodyGyro-IQR-2  fBodyGyro-IQR-3  \\\n",
       "0           -0.999953        -0.990217        -0.994827        -0.994412   \n",
       "1           -0.999923        -0.986973        -0.995555        -0.987254   \n",
       "2           -0.999890        -0.985410        -0.995384        -0.992551   \n",
       "3           -0.999905        -0.992751        -0.996280        -0.990224   \n",
       "4           -0.999903        -0.990337        -0.996114        -0.997426   \n",
       "\n",
       "   fBodyGyro-ropy-1  fBodyGyro-ropy-2  fBodyGyro-ropy-3  fBodyGyro-MaxInds-1  \\\n",
       "0         -0.712402         -0.644842         -0.838993                 -1.0   \n",
       "1         -0.611112         -0.764603         -0.751080                 -1.0   \n",
       "2         -0.590987         -0.808287         -0.751080                 -1.0   \n",
       "3         -0.723666         -0.803754         -0.817286                 -1.0   \n",
       "4         -0.652617         -0.827212         -0.737458                 -1.0   \n",
       "\n",
       "   fBodyGyro-MaxInds-2  fBodyGyro-MaxInds-3  fBodyGyro-MeanFreq-1  \\\n",
       "0            -1.000000            -1.000000             -0.216908   \n",
       "1            -1.000000            -1.000000             -0.018987   \n",
       "2            -0.870968            -1.000000             -0.178281   \n",
       "3            -1.000000            -0.806452              0.231536   \n",
       "4            -0.806452            -1.000000             -0.118405   \n",
       "\n",
       "   fBodyGyro-MeanFreq-2  fBodyGyro-MeanFreq-3  fBodyGyro-Skewness-1  \\\n",
       "0              0.093167              0.458656              0.373538   \n",
       "1             -0.342229             -0.104206             -0.459542   \n",
       "2             -0.007247             -0.143121              0.087702   \n",
       "3             -0.110076             -0.087329             -0.572698   \n",
       "4             -0.069249             -0.190239             -0.340982   \n",
       "\n",
       "   fBodyGyro-Kurtosis-1  fBodyGyro-Skewness-2  fBodyGyro-Kurtosis-2  \\\n",
       "0              0.130112              0.273331             -0.086918   \n",
       "1             -0.794316              0.388827              0.154156   \n",
       "2             -0.245954             -0.437311             -0.811743   \n",
       "3             -0.870371             -0.139809             -0.540050   \n",
       "4             -0.720464             -0.271645             -0.688506   \n",
       "\n",
       "   fBodyGyro-Skewness-3  fBodyGyro-Kurtosis-3  fBodyGyro-BandsEnergyOld-1  \\\n",
       "0             -0.496486             -0.779179                   -0.999865   \n",
       "1             -0.161767             -0.443434                   -0.999851   \n",
       "2             -0.402077             -0.763594                   -0.999680   \n",
       "3             -0.389158             -0.752506                   -0.999964   \n",
       "4             -0.275324             -0.653792                   -0.999870   \n",
       "\n",
       "   fBodyGyro-BandsEnergyOld-2  fBodyGyro-BandsEnergyOld-3  \\\n",
       "0                   -0.999932                   -0.999972   \n",
       "1                   -0.999795                   -0.999912   \n",
       "2                   -0.999829                   -0.999914   \n",
       "3                   -0.999891                   -0.999946   \n",
       "4                   -0.999912                   -0.999925   \n",
       "\n",
       "   fBodyGyro-BandsEnergyOld-4  fBodyGyro-BandsEnergyOld-5  \\\n",
       "0                   -0.999970                   -0.999932   \n",
       "1                   -0.999918                   -0.999898   \n",
       "2                   -0.999933                   -0.999849   \n",
       "3                   -0.999974                   -0.999879   \n",
       "4                   -0.999941                   -0.999937   \n",
       "\n",
       "   fBodyGyro-BandsEnergyOld-6  fBodyGyro-BandsEnergyOld-7  \\\n",
       "0                   -0.999959                   -0.999929   \n",
       "1                   -0.999885                   -0.999785   \n",
       "2                   -0.999841                   -0.999864   \n",
       "3                   -0.999903                   -0.999834   \n",
       "4                   -0.999887                   -0.999900   \n",
       "\n",
       "   fBodyGyro-BandsEnergyOld-8  fBodyGyro-BandsEnergyOld-9  \\\n",
       "0                   -0.999985                   -0.999863   \n",
       "1                   -0.999782                   -0.999830   \n",
       "2                   -0.999862                   -0.999675   \n",
       "3                   -0.999893                   -0.999950   \n",
       "4                   -0.999917                   -0.999865   \n",
       "\n",
       "   fBodyGyro-BandsEnergyOld-10  fBodyGyro-BandsEnergyOld-11  \\\n",
       "0                    -0.999967                    -0.999937   \n",
       "1                    -0.999898                    -0.999884   \n",
       "2                    -0.999905                    -0.999832   \n",
       "3                    -0.999947                    -0.999878   \n",
       "4                    -0.999917                    -0.999912   \n",
       "\n",
       "   fBodyGyro-BandsEnergyOld-12  fBodyGyro-BandsEnergyOld-13  \\\n",
       "0                    -0.999954                    -0.999864   \n",
       "1                    -0.999784                    -0.999828   \n",
       "2                    -0.999863                    -0.999676   \n",
       "3                    -0.999860                    -0.999948   \n",
       "4                    -0.999908                    -0.999864   \n",
       "\n",
       "   fBodyGyro-BandsEnergyOld-14  fBodyGyro-BandsEnergyOld-15  \\\n",
       "0                    -0.999962                    -0.999569   \n",
       "1                    -0.999909                    -0.999887   \n",
       "2                    -0.999904                    -0.999964   \n",
       "3                    -0.999947                    -0.999945   \n",
       "4                    -0.999933                    -0.999942   \n",
       "\n",
       "   fBodyGyro-BandsEnergyOld-16  fBodyGyro-BandsEnergyOld-17  \\\n",
       "0                    -0.999978                    -0.999992   \n",
       "1                    -0.999988                    -0.999996   \n",
       "2                    -0.999988                    -0.999990   \n",
       "3                    -0.999989                    -0.999992   \n",
       "4                    -0.999993                    -0.999996   \n",
       "\n",
       "   fBodyGyro-BandsEnergyOld-18  fBodyGyro-BandsEnergyOld-19  \\\n",
       "0                    -0.999990                    -0.999969   \n",
       "1                    -0.999994                    -0.999986   \n",
       "2                    -0.999994                    -0.999973   \n",
       "3                    -0.999993                    -0.999986   \n",
       "4                    -0.999989                    -0.999967   \n",
       "\n",
       "   fBodyGyro-BandsEnergyOld-20  fBodyGyro-BandsEnergyOld-21  \\\n",
       "0                    -0.999807                    -0.998346   \n",
       "1                    -0.999985                    -0.999980   \n",
       "2                    -0.999944                    -0.999987   \n",
       "3                    -0.999955                    -0.999990   \n",
       "4                    -0.999974                    -0.999974   \n",
       "\n",
       "   fBodyGyro-BandsEnergyOld-22  fBodyGyro-BandsEnergyOld-23  \\\n",
       "0                    -0.998961                    -0.999619   \n",
       "1                    -0.999990                    -0.999897   \n",
       "2                    -0.999993                    -0.999962   \n",
       "3                    -0.999988                    -0.999947   \n",
       "4                    -0.999972                    -0.999946   \n",
       "\n",
       "   fBodyGyro-BandsEnergyOld-24  fBodyGyro-BandsEnergyOld-25  \\\n",
       "0                    -0.999989                    -0.999936   \n",
       "1                    -0.999994                    -0.999986   \n",
       "2                    -0.999989                    -0.999967   \n",
       "3                    -0.999991                    -0.999980   \n",
       "4                    -0.999993                    -0.999969   \n",
       "\n",
       "   fBodyGyro-BandsEnergyOld-26  fBodyGyro-BandsEnergyOld-27  \\\n",
       "0                    -0.998388                    -0.999643   \n",
       "1                    -0.999982                    -0.999903   \n",
       "2                    -0.999988                    -0.999961   \n",
       "3                    -0.999988                    -0.999948   \n",
       "4                    -0.999970                    -0.999949   \n",
       "\n",
       "   fBodyGyro-BandsEnergyOld-28  fBodyGyro-BandsEnergyOld-29  \\\n",
       "0                    -0.999973                    -0.999970   \n",
       "1                    -0.999992                    -0.999938   \n",
       "2                    -0.999986                    -0.999912   \n",
       "3                    -0.999988                    -0.999917   \n",
       "4                    -0.999982                    -0.999913   \n",
       "\n",
       "   fBodyGyro-BandsEnergyOld-30  fBodyGyro-BandsEnergyOld-31  \\\n",
       "0                    -0.999976                    -0.999906   \n",
       "1                    -0.999959                    -0.999928   \n",
       "2                    -0.999934                    -0.999935   \n",
       "3                    -0.999968                    -0.999957   \n",
       "4                    -0.999955                    -0.999996   \n",
       "\n",
       "   fBodyGyro-BandsEnergyOld-32  fBodyGyro-BandsEnergyOld-33  \\\n",
       "0                    -0.999986                    -0.999937   \n",
       "1                    -0.999967                    -0.999985   \n",
       "2                    -0.999958                    -0.999952   \n",
       "3                    -0.999956                    -0.999949   \n",
       "4                    -0.999987                    -0.999940   \n",
       "\n",
       "   fBodyGyro-BandsEnergyOld-34  fBodyGyro-BandsEnergyOld-35  \\\n",
       "0                    -0.999751                    -0.999072   \n",
       "1                    -0.999926                    -0.999961   \n",
       "2                    -0.999909                    -0.999889   \n",
       "3                    -0.999880                    -0.999879   \n",
       "4                    -0.999907                    -0.999921   \n",
       "\n",
       "   fBodyGyro-BandsEnergyOld-36  fBodyGyro-BandsEnergyOld-37  \\\n",
       "0                    -0.999928                    -0.999966   \n",
       "1                    -0.999983                    -0.999930   \n",
       "2                    -0.999989                    -0.999898   \n",
       "3                    -0.999950                    -0.999911   \n",
       "4                    -0.999981                    -0.999904   \n",
       "\n",
       "   fBodyGyro-BandsEnergyOld-38  fBodyGyro-BandsEnergyOld-39  \\\n",
       "0                    -0.999909                    -0.999893   \n",
       "1                    -0.999921                    -0.999976   \n",
       "2                    -0.999923                    -0.999947   \n",
       "3                    -0.999943                    -0.999937   \n",
       "4                    -0.999996                    -0.999937   \n",
       "\n",
       "   fBodyGyro-BandsEnergyOld-40  fBodyGyro-BandsEnergyOld-41  \\\n",
       "0                    -0.999444                    -0.999958   \n",
       "1                    -0.999971                    -0.999925   \n",
       "2                    -0.999933                    -0.999893   \n",
       "3                    -0.999910                    -0.999908   \n",
       "4                    -0.999947                    -0.999905   \n",
       "\n",
       "   fBodyGyro-BandsEnergyOld-42  fBodyAccMag-Mean-1  fBodyAccMag-STD-1  \\\n",
       "0                    -0.999959           -0.951550          -0.966538   \n",
       "1                    -0.999971           -0.980243          -0.981460   \n",
       "2                    -0.999956           -0.987179          -0.991405   \n",
       "3                    -0.999952           -0.986903          -0.989686   \n",
       "4                    -0.999973           -0.992973          -0.992198   \n",
       "\n",
       "   fBodyAccMag-Mad-1  fBodyAccMag-Max-1  fBodyAccMag-Min-1  fBodyAccMag-SMA-1  \\\n",
       "0          -0.948524          -0.981575          -0.921603          -0.951550   \n",
       "1          -0.975426          -0.984387          -0.986180          -0.980243   \n",
       "2          -0.985241          -0.995071          -0.989268          -0.987179   \n",
       "3          -0.983171          -0.993031          -0.998079          -0.986903   \n",
       "4          -0.991970          -0.993230          -0.987124          -0.992973   \n",
       "\n",
       "   fBodyAccMag-Energy-1  fBodyAccMag-IQR-1  fBodyAccMag-ropy-1  \\\n",
       "0             -0.998989          -0.972007           -0.646376   \n",
       "1             -0.999685          -0.983205           -0.816674   \n",
       "2             -0.999882          -0.987960           -0.907014   \n",
       "3             -0.999860          -0.981942           -0.907014   \n",
       "4             -0.999921          -0.996061           -0.907014   \n",
       "\n",
       "   fBodyAccMag-MaxInds-1  fBodyAccMag-MeanFreq-1  fBodyAccMag-Skewness-1  \\\n",
       "0              -0.842105               -0.061629               -0.446120   \n",
       "1              -1.000000               -0.018270               -0.128777   \n",
       "2              -0.894737                0.277458               -0.630062   \n",
       "3              -1.000000                0.096998               -0.478367   \n",
       "4              -1.000000                0.411015               -0.119313   \n",
       "\n",
       "   fBodyAccMag-Kurtosis-1  fBodyAccJerkMag-Mean-1  fBodyAccJerkMag-STD-1  \\\n",
       "0               -0.797046               -0.993610              -0.994226   \n",
       "1               -0.448744               -0.990220              -0.992431   \n",
       "2               -0.880125               -0.989165              -0.991337   \n",
       "3               -0.756585               -0.992654              -0.992170   \n",
       "4               -0.481119               -0.995407              -0.994860   \n",
       "\n",
       "   fBodyAccJerkMag-Mad-1  fBodyAccJerkMag-Max-1  fBodyAccJerkMag-Min-1  \\\n",
       "0              -0.992839              -0.993778              -0.988172   \n",
       "1              -0.990594              -0.994902              -0.989545   \n",
       "2              -0.988135              -0.993592              -0.999886   \n",
       "3              -0.989917              -0.994868              -0.995559   \n",
       "4              -0.994169              -0.995898              -0.982174   \n",
       "\n",
       "   fBodyAccJerkMag-SMA-1  fBodyAccJerkMag-Energy-1  fBodyAccJerkMag-IQR-1  \\\n",
       "0              -0.993610                 -0.999918              -0.991736   \n",
       "1              -0.990220                 -0.999867              -0.991506   \n",
       "2              -0.989165                 -0.999845              -0.987029   \n",
       "3              -0.992654                 -0.999894              -0.988427   \n",
       "4              -0.995407                 -0.999941              -0.994542   \n",
       "\n",
       "   fBodyAccJerkMag-ropy-1  fBodyAccJerkMag-MaxInds-1  \\\n",
       "0                    -1.0                  -0.936508   \n",
       "1                    -1.0                  -0.841270   \n",
       "2                    -1.0                  -0.904762   \n",
       "3                    -1.0                   1.000000   \n",
       "4                    -1.0                  -1.000000   \n",
       "\n",
       "   fBodyAccJerkMag-MeanFreq-1  fBodyAccJerkMag-Skewness-1  \\\n",
       "0                    0.349260                   -0.517127   \n",
       "1                    0.533688                   -0.625993   \n",
       "2                    0.661975                   -0.725887   \n",
       "3                    0.680038                   -0.702305   \n",
       "4                    0.560592                   -0.529957   \n",
       "\n",
       "   fBodyAccJerkMag-Kurtosis-1  fBodyGyroMag-Mean-1  fBodyGyroMag-STD-1  \\\n",
       "0                   -0.801006            -0.980135           -0.961301   \n",
       "1                   -0.898311            -0.988296           -0.983313   \n",
       "2                   -0.926663            -0.989255           -0.986019   \n",
       "3                   -0.907781            -0.989413           -0.987827   \n",
       "4                   -0.857124            -0.991433           -0.989051   \n",
       "\n",
       "   fBodyGyroMag-Mad-1  fBodyGyroMag-Max-1  fBodyGyroMag-Min-1  \\\n",
       "0           -0.974129           -0.956013           -0.989894   \n",
       "1           -0.982951           -0.987406           -0.992134   \n",
       "2           -0.984533           -0.991701           -0.995857   \n",
       "3           -0.987057           -0.987801           -0.996334   \n",
       "4           -0.987932           -0.992145           -0.998404   \n",
       "\n",
       "   fBodyGyroMag-SMA-1  fBodyGyroMag-Energy-1  fBodyGyroMag-IQR-1  \\\n",
       "0           -0.980135              -0.999240           -0.992673   \n",
       "1           -0.988296              -0.999811           -0.993996   \n",
       "2           -0.989255              -0.999854           -0.993256   \n",
       "3           -0.989413              -0.999876           -0.989153   \n",
       "4           -0.991433              -0.999902           -0.989339   \n",
       "\n",
       "   fBodyGyroMag-ropy-1  fBodyGyroMag-MaxInds-1  fBodyGyroMag-MeanFreq-1  \\\n",
       "0            -0.701291               -1.000000                -0.132480   \n",
       "1            -0.720683               -0.948718                -0.268979   \n",
       "2            -0.736521               -0.794872                -0.212429   \n",
       "3            -0.720891               -1.000000                -0.043398   \n",
       "4            -0.763372               -0.897436                -0.270529   \n",
       "\n",
       "   fBodyGyroMag-Skewness-1  fBodyGyroMag-Kurtosis-1  fBodyGyroJerkMag-Mean-1  \\\n",
       "0                 0.565697                 0.363478                -0.991994   \n",
       "1                -0.364219                -0.723724                -0.995857   \n",
       "2                -0.564868                -0.874594                -0.995034   \n",
       "3                -0.257142                -0.516341                -0.995224   \n",
       "4                -0.539596                -0.833661                -0.995096   \n",
       "\n",
       "   fBodyGyroJerkMag-STD-1  fBodyGyroJerkMag-Mad-1  fBodyGyroJerkMag-Max-1  \\\n",
       "0               -0.990877               -0.990169               -0.992521   \n",
       "1               -0.996580               -0.995671               -0.996939   \n",
       "2               -0.995308               -0.994868               -0.996133   \n",
       "3               -0.995417               -0.995951               -0.995346   \n",
       "4               -0.995645               -0.995508               -0.995683   \n",
       "\n",
       "   fBodyGyroJerkMag-Min-1  fBodyGyroJerkMag-SMA-1  fBodyGyroJerkMag-Energy-1  \\\n",
       "0               -0.991044               -0.991994                  -0.999937   \n",
       "1               -0.994436               -0.995857                  -0.999981   \n",
       "2               -0.995863               -0.995034                  -0.999973   \n",
       "3               -0.995728               -0.995224                  -0.999974   \n",
       "4               -0.997414               -0.995096                  -0.999974   \n",
       "\n",
       "   fBodyGyroJerkMag-IQR-1  fBodyGyroJerkMag-ropy-1  \\\n",
       "0               -0.990537                -0.871306   \n",
       "1               -0.994623                -1.000000   \n",
       "2               -0.993834                -1.000000   \n",
       "3               -0.995305                -0.955696   \n",
       "4               -0.995566                -1.000000   \n",
       "\n",
       "   fBodyGyroJerkMag-MaxInds-1  fBodyGyroJerkMag-MeanFreq-1  \\\n",
       "0                   -1.000000                    -0.012236   \n",
       "1                   -1.000000                     0.202804   \n",
       "2                   -0.555556                     0.440079   \n",
       "3                   -0.936508                     0.430891   \n",
       "4                   -0.936508                     0.137735   \n",
       "\n",
       "   fBodyGyroJerkMag-Skewness-1  fBodyGyroJerkMag-Kurtosis-1  \\\n",
       "0                    -0.314848                    -0.713308   \n",
       "1                    -0.603199                    -0.860677   \n",
       "2                    -0.404427                    -0.761847   \n",
       "3                    -0.138373                    -0.491604   \n",
       "4                    -0.366214                    -0.702490   \n",
       "\n",
       "   tBodyAcc-AngleWRTGravity-1  tBodyAccJerk-AngleWRTGravity-1  \\\n",
       "0                   -0.112754                        0.030400   \n",
       "1                    0.053477                       -0.007435   \n",
       "2                   -0.118559                        0.177899   \n",
       "3                   -0.036788                       -0.012892   \n",
       "4                    0.123320                        0.122542   \n",
       "\n",
       "   tBodyGyro-AngleWRTGravity-1  tBodyGyroJerk-AngleWRTGravity-1  \\\n",
       "0                    -0.464761                        -0.018446   \n",
       "1                    -0.732626                         0.703511   \n",
       "2                     0.100699                         0.808529   \n",
       "3                     0.640011                        -0.485366   \n",
       "4                     0.693578                        -0.615971   \n",
       "\n",
       "   tXAxisAcc-AngleWRTGravity-1  tYAxisAcc-AngleWRTGravity-1  \\\n",
       "0                    -0.841559                     0.179913   \n",
       "1                    -0.845092                     0.180261   \n",
       "2                    -0.849230                     0.180610   \n",
       "3                    -0.848947                     0.181907   \n",
       "4                    -0.848164                     0.185124   \n",
       "\n",
       "   tZAxisAcc-AngleWRTGravity-1  \n",
       "0                    -0.051718  \n",
       "1                    -0.047436  \n",
       "2                    -0.042271  \n",
       "3                    -0.040826  \n",
       "4                    -0.037080  "
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "col_names = pd.read_csv('datasets/features_edited.txt', header = None)\n",
    "features = col_names[0].str.strip().to_list()\n",
    "datasets_filepath = ['Train/X_train',\n",
    "                     'Train/y_train',\n",
    "                     'Test/X_test',\n",
    "                     'Test/y_test']\n",
    "df = []\n",
    "for filepath in datasets_filepath:\n",
    "    df.append(pd.read_csv('datasets/' + filepath + '.txt', sep = ' ', header = None))\n",
    "x_train, y_train, x_test, y_test = df[0], df[1], df[2], df[3]\n",
    "x_train.columns, x_test.columns = features, features\n",
    "y_train.columns, y_test.columns = ['Activity',], ['Activity',]\n",
    "x_train.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.linear_model import LogisticRegression\n",
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt\n",
    "from sklearn.discriminant_analysis import QuadraticDiscriminantAnalysis\n",
    "from sklearn.discriminant_analysis import LinearDiscriminantAnalysis\n",
    "from sklearn import svm"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.9459203036053131\n"
     ]
    }
   ],
   "source": [
    "logisticRegr = LogisticRegression(solver = \t'newton-cg')\n",
    "logisticRegr.fit(x_train, y_train.values.ravel())\n",
    "score = logisticRegr.score(x_test, y_test.values.ravel())\n",
    "print(score)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='Activity', ylabel='Count'>"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 720x360 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(1,2, figsize = (10,5))\n",
    "sns.histplot(data = y_test, x = 'Activity', ax = ax[0])\n",
    "sns.histplot(data = y_train, x = 'Activity', ax = ax[1])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Library/Frameworks/Python.framework/Versions/3.8/lib/python3.8/site-packages/sklearn/discriminant_analysis.py:808: UserWarning: Variables are collinear\n",
      "  warnings.warn(\"Variables are collinear\")\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.8523086654016445\n"
     ]
    }
   ],
   "source": [
    "qda = QuadraticDiscriminantAnalysis()\n",
    "qda.fit(x_train, y_train.values.ravel())\n",
    "score = qda.score(x_test, y_test.values.ravel())\n",
    "print(score)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.9490828589500316\n"
     ]
    }
   ],
   "source": [
    "lda = LinearDiscriminantAnalysis(shrinkage = 'auto', solver = 'lsqr')\n",
    "lda.fit(x_train, y_train.values.ravel())\n",
    "score = lda.score(x_test, y_test.values.ravel())\n",
    "print(score)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.9490828589500316\n"
     ]
    }
   ],
   "source": [
    "svm_fit = svm.SVC()\n",
    "svm_fit.fit(x_train, y_train.values.ravel())\n",
    "score = lda.score(x_test, y_test.values.ravel())\n",
    "print(score)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [],
   "source": [
    "from imblearn.over_sampling import RandomOverSampler\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {},
   "outputs": [],
   "source": [
    "weight = {7:1000,8:1000,9:1000,10:1000,11:1000,12:1000}\n",
    "weight2 = {7:400,8:400,9:400,10:400,11:400,12:400}\n",
    "oversample = RandomOverSampler(sampling_strategy = weight)\n",
    "oversample2 = RandomOverSampler(sampling_strategy = weight2)\n",
    "x_over, y_over = oversample.fit_resample(x_train, y_train)\n",
    "x_over_test, y_over_test = oversample2.fit_resample(x_test, y_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='Activity', ylabel='Count'>"
      ]
     },
     "execution_count": 63,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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mR9RWt/df72sr4EcHW44kjcycx7Wq+g7wsiQLgY8CLz7QYpKsBdYCrFix4kB3J2memFFQq6qjh12IJI3SIMa1qno8yR3AK3DmuqQhmFFQS/KG6dqr6trBliNJozHXcS3JIuBfWkh7JvAz9CYIOHNd0sDN9NTnT/QtP4PeLTU+S2/KuSRNormOa0uAa5IcQu8635uq6mNJvoQz1yUN2ExPfb6lf71dl3HDMAqSpFGY67hWVfcCL5+m3ZnrkgZuprM+9/SP9B4BJUnzheOapM6Z6TVqf0ZvNhT0Hlr8b4GbhlWUJA2b45qkSTDTa9Te27e8C3i4qrYMoR5JGhXHNUmdN6NTn+0hxl8GngscDjw1zKIkadgc1yRNghkFtSTnAH9D74LYc4C7k5w9zMIkaZgc1yRNgpme+nw38BNVtQO+dx+h/0vvuXWSNIkc1yR13kxnfT5t92DWfHMWn5WkLnJck9R5Mz2i9vEknwCub+vnArcOpyRJGgnHNUmdt8+gluSFwOKq+vUk/xH4ybbp08B1wy5OkgbNcU3SJNnfEbX3ARcDVNVHgI8AJPmxtu3nh1ibJA3D+3BckzQh9nc9xuKq+uKeja1t5VAqkqThclyTNDH2F9QW7mPbMwdYhySNysJ9bHNck9Qp+wtqG5P85z0bk/wKcM9wSpKkoXJckzQx9neN2tuBjyY5n38dwKaAQ4H/MMS6JGlY3o7jmqQJsc+gVlWPACcn+SngJa35z6vq9qFXJklD4LgmaZLM6D5qVXUHcMeQa5GkkXFckzQJvAu3JElSRxnUJEmSOsqgJkmS1FEGNUmSpI4yqEmSJHWUQU2SJKmjxhLUkixMcnOSLyd5IMkrkhyRZEOSB9v74a1vknwgyaYk9yY5bhw1S5Ikjdq4jqi9H/h4Vb0YeCnwAHARcFtVHQPc1tYBzgCOaa+1wOWjL1eSJGn0Rh7UkjwPeCVwJUBVPVVVjwOrgGtat2uAs9ryKuDa6rkLWJhkyUiLliRJGoNxHFE7GtgJ/FGSzyW5IsmzgcVVta312Q4sbstLgc19n9/S2iRJkua1cQS1BcBxwOVV9XLgH/nX05wAVFUBNZudJlmbZGOSjTt37hxYsZIkSeMyjqC2BdhSVXe39ZvpBbdHdp/SbO872vatwPK+zy9rbd+nqtZV1VRVTS1atGhoxUuSJI3KyINaVW0HNid5UWs6DfgSsB5Y3dpWA7e05fXAG9rsz5OAJ/pOkUqSJM1bC8b0vW8BrktyKPAQ8EZ6ofGmJGuAh4FzWt9bgTOBTcCTra8kSdK8N5agVlWfB6am2XTaNH0LuGDYNUmSJHWNTyaQJEnqKIOaJElSRxnUJEmSOsqgJkmS1FEGNUmSpI4yqEmSJHWUQU2SJKmjDGqSNAtJlie5I8mXktyf5G2t/YgkG5I82N4Pb+1J8oEkm5Lcm+S48f4JJE0Sg5okzc4u4B1VdSxwEnBBkmOBi4DbquoY4La2DnAGcEx7rQUuH33JkiaVQU2SZqGqtlXVZ9vyt4EHgKXAKuCa1u0a4Ky2vAq4tnruAhYmWTLaqiVNKoOaJM1RkpXAy4G7gcVVta1t2g4sbstLgc19H9vS2iRpvwxqkjQHSZ4DfBh4e1V9q39be0ZxzXJ/a5NsTLJx586dA6xU0iQzqEnSLCV5Or2Qdl1VfaQ1P7L7lGZ739HatwLL+z6+rLV9n6paV1VTVTW1aNGi4RUvaaIY1CRpFpIEuBJ4oKp+v2/TemB1W14N3NLX/oY2+/Mk4Im+U6SStE8Lxl2AJE2YU4DXA19M8vnW9hvApcBNSdYADwPntG23AmcCm4AngTeOtFpJE82gJkmzUFV/BWQvm0+bpn8BFwy1KEnzlqc+JUmSOsqgJkmS1FEGNUmSpI4yqEmSJHWUQU2SJKmjDGqSJEkdZVCTJEnqKIOaJElSRxnUJEmSOsqgJkmS1FEGNUmSpI4aW1BLckiSzyX5WFs/OsndSTYluTHJoa39sLa+qW1fOa6aJUmSRmmcR9TeBjzQt/67wGVV9ULgMWBNa18DPNbaL2v9JEmS5r2xBLUky4CfA65o6wFOBW5uXa4BzmrLq9o6bftprb8kSdK8Nq4jau8D3gl8t60/H3i8qna19S3A0ra8FNgM0LY/0fpLkiTNayMPakleA+yoqnsGvN+1STYm2bhz585B7lqSJGksxnFE7RTgtUm+CtxA75Tn+4GFSRa0PsuArW15K7AcoG1/HvDNPXdaVeuqaqqqphYtWjTcP4EkSdIIjDyoVdXFVbWsqlYCrwNur6rzgTuAs1u31cAtbXl9W6dtv72qaoQlS5IkjUWX7qP2LuDCJJvoXYN2ZWu/Enh+a78QuGhM9UmSJI3Ugv13GZ6q+hTwqbb8EHDCNH3+CfiFkRYmSZLUAV06oiZJkqQ+BjVJkqSOMqhJkiR1lEFNkiSpowxqkiRJHWVQkyRJ6iiDmiRJUkcZ1CRJkjrKoCZJktRRBjVJkqSOMqhJkiR1lEFNkiSpowxqkiRJHWVQkyRJ6iiDmiRJUkcZ1CRJkjrKoCZJktRRBjVJmoUkVyXZkeS+vrYjkmxI8mB7P7y1J8kHkmxKcm+S48ZXuaRJZFCTpNm5Gjh9j7aLgNuq6hjgtrYOcAZwTHutBS4fUY2S5gmDmiTNQlXdCTy6R/Mq4Jq2fA1wVl/7tdVzF7AwyZKRFCppXjCoSdKBW1xV29rydmBxW14KbO7rt6W1SdKMGNQkaYCqqoCa7eeSrE2yMcnGnTt3DqEySZPIoCZJB+6R3ac02/uO1r4VWN7Xb1lr+wFVta6qpqpqatGiRUMtVtLkMKhJ0oFbD6xuy6uBW/ra39Bmf54EPNF3ilSS9mvBuAuQpEmS5HrgVcCRSbYAlwCXAjclWQM8DJzTut8KnAlsAp4E3jjygiVNNIOaJM1CVZ23l02nTdO3gAuGW5Gk+cxTn5IkSR1lUJMkSeqokQe1JMuT3JHkS0nuT/K21u4jWCRJkvqM44jaLuAdVXUscBJwQZJj8REskiRJ32fkQa2qtlXVZ9vyt4EH6N2p20ewSJIk9RnrNWpJVgIvB+7mAB/B4l29JUnSfDO2oJbkOcCHgbdX1bf6t83lESze1VuSJM03YwlqSZ5OL6RdV1Ufac0H/AgWSZKk+WQcsz4DXAk8UFW/37fJR7BIkiT1GceTCU4BXg98McnnW9tv4CNYJEmSvs/Ig1pV/RWQvWz2ESySJEmNTyaQJEnqKIOaJElSRxnUJEmSOsqgJkmS1FEGNUmSpI4yqEmSJHWUQU2SJKmjDGqSJEkdZVCTJEnqKIOaJElSRxnUJEmSOsqgJkmS1FEGNUmSpI4yqEmSJHWUQU2SJKmjDGqSJEkdZVCTJEnqKIOaJElSRxnUJEmSOsqgJkmS1FEGNUmSpI4yqEmSJHWUQU2SJKmjDGqSJEkdZVCTJEnqKIOaJElSRxnUJEmSOmpiglqS05P8bZJNSS4adz2SNFOOX5LmaiKCWpJDgD8AzgCOBc5Lcux4q5Kk/XP8knQgJiKoAScAm6rqoap6CrgBWDXmmiRpJhy/JM3ZpAS1pcDmvvUtrU2Sus7xS9KcparGXcN+JTkbOL2qfqWtvx44sare3NdnLbC2rb4I+NuRF/r9jgS+MeYaZsI6B8s6B2s2df5IVS0aZjFzMZPxq7V3aQybj/9/jJN1DtZ8rHOv49eCwdUzVFuB5X3ry1rb91TVOmDdKIvalyQbq2pq3HXsj3UOlnUO1qTUuR/7Hb+gW2PYpPy9W+dgWedgDarOSTn1+RngmCRHJzkUeB2wfsw1SdJMOH5JmrOJOKJWVbuSvBn4BHAIcFVV3T/msiRpvxy/JB2IiQhqAFV1K3DruOuYhU6cwpgB6xws6xysSalznxy/hsY6B8s6B2sgdU7EZAJJkqSD0aRcoyZJknTQMagNWJLlSe5I8qUk9yd527hr2pskhyT5XJKPjbuWvUmyMMnNSb6c5IEkrxh3TdNJ8mvtv/d9Sa5P8oxx1wSQ5KokO5Lc19d2RJINSR5s74ePs8ZW03R1/l77735vko8mWTjGEg8KkzR+gWPYIDmGHZhhjmEGtcHbBbyjqo4FTgIu6PDjYt4GPDDuIvbj/cDHq+rFwEvpYL1JlgJvBaaq6iX0Lhh/3Xir+p6rgdP3aLsIuK2qjgFua+vjdjU/WOcG4CVV9ePA3wEXj7qog9AkjV/gGDYQjmEDcTVDGsMMagNWVduq6rNt+dv0/lF27i7kSZYBPwdcMe5a9ibJ84BXAlcCVNVTVfX4WIvauwXAM5MsAJ4FfH3M9QBQVXcCj+7RvAq4pi1fA5w1ypqmM12dVfXJqtrVVu+id/8xDdGkjF/gGDYEjmEHYJhjmEFtiJKsBF4O3D3mUqbzPuCdwHfHXMe+HA3sBP6ond64Ismzx13UnqpqK/Be4GvANuCJqvrkeKvap8VVta0tbwcWj7OYGfpl4C/GXcTBpOPjFziGDYxj2EjMeQwzqA1JkucAHwbeXlXfGnc9/ZK8BthRVfeMu5b9WAAcB1xeVS8H/pFuHOL+Pu36iFX0BuUXAM9O8p/GW9XMVG/ad6enfid5N71TcteNu5aDRZfHL3AMGzTHsOE60DHMoDYESZ5Ob5C7rqo+Mu56pnEK8NokXwVuAE5N8ifjLWlaW4AtVbX7F/3N9Aa9rvlp4CtVtbOq/gX4CHDymGval0eSLAFo7zvGXM9eJfkl4DXA+eW9hEZiAsYvcAwbNMewIRnEGGZQG7AkoXc9wgNV9fvjrmc6VXVxVS2rqpX0Lhi9vao69+upqrYDm5O8qDWdBnxpjCXtzdeAk5I8q/33P40OXjDcZz2wui2vBm4ZYy17leR0eqe2XltVT467noPBJIxf4Bg2BI5hQzCoMcygNninAK+n9wvv8+115riLmmBvAa5Lci/wMuB3xlvOD2q/lm8GPgt8kd6/q07cOTvJ9cCngRcl2ZJkDXAp8DNJHqT3S/rScdYIe63zg8BzgQ3t39EfjrXIg4Pj1+A5hh0AxzCfTCBJktRZHlGTJEnqKIOaJElSRxnUJEmSOsqgJkmS1FEGNUmSpI4yqKlTkpyVpJK8eD/93p7kWX3rtyZZuI/+L0hyc1t+mbcckDRojl8aBm/PoU5JciO9R5jcXlWX7KPfV4GpqvrGHL7jl9pn3zzXOiVpT45fGgaPqKkz2vMFfxJYQ+9u4yQ5JMl7k9yX5N4kb0nyVnqD4R1J7mj9vprkyCSXJrmgb5+/meS/JVnZ9nEo8FvAue0GhOcmeTDJotb/aUk27V6XpJlw/NKwLBh3AVKfVcDHq+rvknwzyfHACcBK4GVVtSvJEVX1aJILgZ+a5hfpjcD7gD9o6+cAPwscAlBVTyX57/T9Im2nKc5vn/tp4AtVtXOIf05J84/jl4bCI2rqkvPoPWCZ9n4evYHnQ1W1C6CqHt3XDqrqc8APt2s6Xgo8VlWb9/O9VwFvaMu/DPzRHOuXdPBy/NJQeERNnZDkCOBU4MeSFL1fkAV8Zg67+1PgbOAoer9Q96mqNid5JMmp9H4Bnz+H75R0kHL80jB5RE1dcTbwx1X1I1W1sqqWA18BvgC8KckC+N6ACPBteg+7nc6N9K4ROZveoLen6T57BfAnwJ9W1XcO6E8i6WDj+KWhMaipK84DPrpH24eBJcDXgHuTfAH4xbZtHfDx3Rfj9quq++kNZFurats033UHcOzui3Fb23rgOXjaQNLsOX5paLw9hwQkmQIuq6p/P+5aJGk2HL/mN69R00EvyUXAf8VrOyRNGMev+c8japIkSR3lNWqSJEkdZVCTJEnqKIOaJElSRxnUJEmSOsqgJkmS1FEGNUmSpI76/8G+2VCVothTAAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 720x360 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(1,2, figsize = (10,5))\n",
    "sns.histplot(data = y_over, x = 'Activity', ax = ax[0])\n",
    "sns.histplot(data = y_over_test, x = 'Activity', ax = ax[1])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 144,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Library/Frameworks/Python.framework/Versions/3.8/lib/python3.8/site-packages/sklearn/discriminant_analysis.py:808: UserWarning: Variables are collinear\n",
      "  warnings.warn(\"Variables are collinear\")\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.49944403261675313\n"
     ]
    }
   ],
   "source": [
    "qda = QuadraticDiscriminantAnalysis()\n",
    "qda.fit(x_over, y_over.values.ravel())\n",
    "score = qda.score(x_over_test, y_over_test.values.ravel())\n",
    "print(score)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 89,
   "metadata": {},
   "outputs": [],
   "source": [
    "from tensorflow.keras.models import Sequential\n",
    "from tensorflow.keras.layers import Dense, Dropout\n",
    "from tensorflow.keras.callbacks import EarlyStopping"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 138,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.model_selection import train_test_split\n",
    "x_train1, x_test1, y_train1, y_test1 = train_test_split(x_train, y_train, test_size = 0.1, random_state = 42)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 139,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/100\n",
      "WARNING:tensorflow:AutoGraph could not transform <function Model.make_train_function.<locals>.train_function at 0x7f9f0e41dc10> and will run it as-is.\n",
      "Please report this to the TensorFlow team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output.\n",
      "Cause: closure mismatch, requested ('self', 'step_function'), but source function had ()\n",
      "To silence this warning, decorate the function with @tf.autograph.experimental.do_not_convert\n",
      "WARNING: AutoGraph could not transform <function Model.make_train_function.<locals>.train_function at 0x7f9f0e41dc10> and will run it as-is.\n",
      "Please report this to the TensorFlow team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output.\n",
      "Cause: closure mismatch, requested ('self', 'step_function'), but source function had ()\n",
      "To silence this warning, decorate the function with @tf.autograph.experimental.do_not_convert\n",
      " 83/110 [=====================>........] - ETA: 0s - loss: 2.0358 - accuracy: 0.2462WARNING:tensorflow:AutoGraph could not transform <function Model.make_test_function.<locals>.test_function at 0x7f9f0f0765e0> and will run it as-is.\n",
      "Please report this to the TensorFlow team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output.\n",
      "Cause: closure mismatch, requested ('self', 'step_function'), but source function had ()\n",
      "To silence this warning, decorate the function with @tf.autograph.experimental.do_not_convert\n",
      "WARNING: AutoGraph could not transform <function Model.make_test_function.<locals>.test_function at 0x7f9f0f0765e0> and will run it as-is.\n",
      "Please report this to the TensorFlow team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output.\n",
      "Cause: closure mismatch, requested ('self', 'step_function'), but source function had ()\n",
      "To silence this warning, decorate the function with @tf.autograph.experimental.do_not_convert\n",
      "110/110 [==============================] - 1s 6ms/step - loss: 1.9472 - accuracy: 0.2764 - val_loss: 1.2318 - val_accuracy: 0.7056\n",
      "Epoch 2/100\n",
      "110/110 [==============================] - 0s 2ms/step - loss: 1.1469 - accuracy: 0.6538 - val_loss: 0.8211 - val_accuracy: 0.8283\n",
      "Epoch 3/100\n",
      "110/110 [==============================] - 0s 2ms/step - loss: 0.7711 - accuracy: 0.7969 - val_loss: 0.5781 - val_accuracy: 0.8624\n",
      "Epoch 4/100\n",
      "110/110 [==============================] - 0s 2ms/step - loss: 0.5647 - accuracy: 0.8430 - val_loss: 0.4368 - val_accuracy: 0.8770\n",
      "Epoch 5/100\n",
      "110/110 [==============================] - 0s 2ms/step - loss: 0.4492 - accuracy: 0.8637 - val_loss: 0.3579 - val_accuracy: 0.8938\n",
      "Epoch 6/100\n",
      "110/110 [==============================] - 0s 2ms/step - loss: 0.3622 - accuracy: 0.8864 - val_loss: 0.2990 - val_accuracy: 0.9096\n",
      "Epoch 7/100\n",
      "110/110 [==============================] - 0s 2ms/step - loss: 0.3198 - accuracy: 0.9001 - val_loss: 0.2724 - val_accuracy: 0.9134\n",
      "Epoch 8/100\n",
      "110/110 [==============================] - 0s 2ms/step - loss: 0.2848 - accuracy: 0.9122 - val_loss: 0.2213 - val_accuracy: 0.9312\n",
      "Epoch 9/100\n",
      "110/110 [==============================] - 0s 2ms/step - loss: 0.2480 - accuracy: 0.9184 - val_loss: 0.2101 - val_accuracy: 0.9283\n",
      "Epoch 10/100\n",
      "110/110 [==============================] - 0s 4ms/step - loss: 0.2269 - accuracy: 0.9269 - val_loss: 0.1810 - val_accuracy: 0.9426\n",
      "Epoch 11/100\n",
      "110/110 [==============================] - 0s 2ms/step - loss: 0.2015 - accuracy: 0.9386 - val_loss: 0.1631 - val_accuracy: 0.9518\n",
      "Epoch 12/100\n",
      "110/110 [==============================] - 0s 2ms/step - loss: 0.1839 - accuracy: 0.9378 - val_loss: 0.1504 - val_accuracy: 0.9528\n",
      "Epoch 13/100\n",
      "110/110 [==============================] - 0s 2ms/step - loss: 0.1636 - accuracy: 0.9482 - val_loss: 0.1404 - val_accuracy: 0.9561\n",
      "Epoch 14/100\n",
      "110/110 [==============================] - 0s 3ms/step - loss: 0.1550 - accuracy: 0.9499 - val_loss: 0.1297 - val_accuracy: 0.9612\n",
      "Epoch 15/100\n",
      "110/110 [==============================] - 0s 2ms/step - loss: 0.1438 - accuracy: 0.9601 - val_loss: 0.1220 - val_accuracy: 0.9615\n",
      "Epoch 16/100\n",
      "110/110 [==============================] - 0s 2ms/step - loss: 0.1408 - accuracy: 0.9525 - val_loss: 0.1190 - val_accuracy: 0.9638\n",
      "Epoch 17/100\n",
      "110/110 [==============================] - 0s 2ms/step - loss: 0.1469 - accuracy: 0.9510 - val_loss: 0.1090 - val_accuracy: 0.9651\n",
      "Epoch 18/100\n",
      "110/110 [==============================] - 0s 2ms/step - loss: 0.1242 - accuracy: 0.9594 - val_loss: 0.1077 - val_accuracy: 0.9657\n",
      "Epoch 19/100\n",
      "110/110 [==============================] - 0s 2ms/step - loss: 0.1272 - accuracy: 0.9573 - val_loss: 0.1021 - val_accuracy: 0.9642\n",
      "Epoch 20/100\n",
      "110/110 [==============================] - 0s 2ms/step - loss: 0.1194 - accuracy: 0.9559 - val_loss: 0.0922 - val_accuracy: 0.9691\n",
      "Epoch 21/100\n",
      "110/110 [==============================] - 0s 2ms/step - loss: 0.1123 - accuracy: 0.9604 - val_loss: 0.0924 - val_accuracy: 0.9685\n",
      "Epoch 22/100\n",
      "110/110 [==============================] - 0s 2ms/step - loss: 0.1066 - accuracy: 0.9636 - val_loss: 0.0846 - val_accuracy: 0.9727\n",
      "Epoch 23/100\n",
      "110/110 [==============================] - 0s 2ms/step - loss: 0.1007 - accuracy: 0.9663 - val_loss: 0.0842 - val_accuracy: 0.9725\n",
      "Epoch 24/100\n",
      "110/110 [==============================] - 0s 2ms/step - loss: 0.0908 - accuracy: 0.9693 - val_loss: 0.0809 - val_accuracy: 0.9738\n",
      "Epoch 25/100\n",
      "110/110 [==============================] - 0s 2ms/step - loss: 0.0961 - accuracy: 0.9653 - val_loss: 0.0778 - val_accuracy: 0.9758\n",
      "Epoch 26/100\n",
      "110/110 [==============================] - 0s 2ms/step - loss: 0.1005 - accuracy: 0.9646 - val_loss: 0.0732 - val_accuracy: 0.9761\n",
      "Epoch 27/100\n",
      "110/110 [==============================] - 0s 2ms/step - loss: 0.0939 - accuracy: 0.9658 - val_loss: 0.0734 - val_accuracy: 0.9755\n",
      "Epoch 28/100\n",
      "110/110 [==============================] - 0s 2ms/step - loss: 0.0848 - accuracy: 0.9703 - val_loss: 0.0846 - val_accuracy: 0.9698\n",
      "Epoch 29/100\n",
      "110/110 [==============================] - 0s 2ms/step - loss: 0.0853 - accuracy: 0.9707 - val_loss: 0.0685 - val_accuracy: 0.9770\n",
      "Epoch 30/100\n",
      "110/110 [==============================] - 0s 2ms/step - loss: 0.0832 - accuracy: 0.9717 - val_loss: 0.0855 - val_accuracy: 0.9674\n",
      "Epoch 31/100\n",
      "110/110 [==============================] - 0s 2ms/step - loss: 0.0884 - accuracy: 0.9669 - val_loss: 0.0655 - val_accuracy: 0.9778\n",
      "Epoch 32/100\n",
      "110/110 [==============================] - 0s 2ms/step - loss: 0.0826 - accuracy: 0.9718 - val_loss: 0.0718 - val_accuracy: 0.9748\n",
      "Epoch 33/100\n",
      "110/110 [==============================] - 0s 2ms/step - loss: 0.0769 - accuracy: 0.9726 - val_loss: 0.0609 - val_accuracy: 0.9788\n",
      "Epoch 34/100\n",
      "110/110 [==============================] - 0s 2ms/step - loss: 0.0844 - accuracy: 0.9707 - val_loss: 0.0584 - val_accuracy: 0.9823\n",
      "Epoch 35/100\n",
      "110/110 [==============================] - 0s 2ms/step - loss: 0.0754 - accuracy: 0.9745 - val_loss: 0.0580 - val_accuracy: 0.9820\n",
      "Epoch 36/100\n",
      "110/110 [==============================] - 0s 2ms/step - loss: 0.0744 - accuracy: 0.9751 - val_loss: 0.0550 - val_accuracy: 0.9831\n",
      "Epoch 37/100\n",
      "110/110 [==============================] - 0s 2ms/step - loss: 0.0688 - accuracy: 0.9772 - val_loss: 0.0584 - val_accuracy: 0.9840\n",
      "Epoch 38/100\n",
      "110/110 [==============================] - 0s 2ms/step - loss: 0.0725 - accuracy: 0.9758 - val_loss: 0.0541 - val_accuracy: 0.9827\n",
      "Epoch 39/100\n",
      "110/110 [==============================] - 0s 2ms/step - loss: 0.0632 - accuracy: 0.9773 - val_loss: 0.0532 - val_accuracy: 0.9838\n",
      "Epoch 40/100\n",
      "110/110 [==============================] - 0s 2ms/step - loss: 0.0684 - accuracy: 0.9783 - val_loss: 0.0501 - val_accuracy: 0.9841\n",
      "Epoch 41/100\n",
      "110/110 [==============================] - 0s 3ms/step - loss: 0.0700 - accuracy: 0.9788 - val_loss: 0.0483 - val_accuracy: 0.9857\n",
      "Epoch 42/100\n",
      "110/110 [==============================] - 0s 2ms/step - loss: 0.0654 - accuracy: 0.9785 - val_loss: 0.0489 - val_accuracy: 0.9830\n",
      "Epoch 43/100\n",
      "110/110 [==============================] - 0s 2ms/step - loss: 0.0631 - accuracy: 0.9773 - val_loss: 0.0470 - val_accuracy: 0.9851\n",
      "Epoch 44/100\n",
      "110/110 [==============================] - 0s 2ms/step - loss: 0.0600 - accuracy: 0.9785 - val_loss: 0.0475 - val_accuracy: 0.9837\n",
      "Epoch 45/100\n",
      "110/110 [==============================] - 0s 2ms/step - loss: 0.0566 - accuracy: 0.9824 - val_loss: 0.0475 - val_accuracy: 0.9860\n",
      "Epoch 46/100\n",
      "110/110 [==============================] - 0s 2ms/step - loss: 0.0549 - accuracy: 0.9830 - val_loss: 0.0451 - val_accuracy: 0.9845\n",
      "Epoch 47/100\n",
      "110/110 [==============================] - 0s 2ms/step - loss: 0.0608 - accuracy: 0.9777 - val_loss: 0.0464 - val_accuracy: 0.9864\n",
      "Epoch 48/100\n",
      "110/110 [==============================] - 0s 3ms/step - loss: 0.0542 - accuracy: 0.9816 - val_loss: 0.0427 - val_accuracy: 0.9853\n",
      "Epoch 49/100\n",
      "110/110 [==============================] - 0s 2ms/step - loss: 0.0545 - accuracy: 0.9819 - val_loss: 0.0412 - val_accuracy: 0.9870\n",
      "Epoch 50/100\n",
      "110/110 [==============================] - 0s 2ms/step - loss: 0.0537 - accuracy: 0.9829 - val_loss: 0.0469 - val_accuracy: 0.9815\n",
      "Epoch 51/100\n",
      "110/110 [==============================] - 0s 2ms/step - loss: 0.0613 - accuracy: 0.9771 - val_loss: 0.0425 - val_accuracy: 0.9863\n",
      "Epoch 52/100\n",
      "110/110 [==============================] - 0s 2ms/step - loss: 0.0496 - accuracy: 0.9826 - val_loss: 0.0395 - val_accuracy: 0.9877\n",
      "Epoch 53/100\n",
      "110/110 [==============================] - 0s 2ms/step - loss: 0.0560 - accuracy: 0.9797 - val_loss: 0.0390 - val_accuracy: 0.9860\n",
      "Epoch 54/100\n",
      "110/110 [==============================] - 0s 2ms/step - loss: 0.0467 - accuracy: 0.9841 - val_loss: 0.0442 - val_accuracy: 0.9861\n",
      "Epoch 55/100\n",
      "110/110 [==============================] - 0s 2ms/step - loss: 0.0512 - accuracy: 0.9822 - val_loss: 0.0378 - val_accuracy: 0.9874\n",
      "Epoch 56/100\n",
      "110/110 [==============================] - 0s 3ms/step - loss: 0.0474 - accuracy: 0.9830 - val_loss: 0.0404 - val_accuracy: 0.9858\n",
      "Epoch 57/100\n",
      "110/110 [==============================] - 0s 3ms/step - loss: 0.0469 - accuracy: 0.9840 - val_loss: 0.0400 - val_accuracy: 0.9867\n"
     ]
    }
   ],
   "source": [
    "model = Sequential()\n",
    "callback = EarlyStopping(monitor = 'loss', patience = 3)\n",
    "model.add(Dense(units = 64, kernel_initializer = 'normal', activation = 'sigmoid', input_dim = x_train.shape[1]))\n",
    "model.add(Dropout(0.2))\n",
    "model.add(Dense(units = 13, kernel_initializer='normal', activation='softmax'))\n",
    "model.compile(optimizer = 'adam', loss = 'sparse_categorical_crossentropy', metrics = ['accuracy'])\n",
    "history = model.fit(x_train1, y_train1, callbacks = [callback], batch_size = 64, epochs = 100, validation_data = (x_train1, y_train1))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 140,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Library/Frameworks/Python.framework/Versions/3.8/lib/python3.8/site-packages/tensorflow/python/keras/engine/sequential.py:450: UserWarning: `model.predict_classes()` is deprecated and will be removed after 2021-01-01. Please use instead:* `np.argmax(model.predict(x), axis=-1)`,   if your model does multi-class classification   (e.g. if it uses a `softmax` last-layer activation).* `(model.predict(x) > 0.5).astype(\"int32\")`,   if your model does binary classification   (e.g. if it uses a `sigmoid` last-layer activation).\n",
      "  verbose: verbosity mode, 0 or 1.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "WARNING:tensorflow:AutoGraph could not transform <function Model.make_predict_function.<locals>.predict_function at 0x7f9f0e30e700> and will run it as-is.\n",
      "Please report this to the TensorFlow team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output.\n",
      "Cause: closure mismatch, requested ('self', 'step_function'), but source function had ()\n",
      "To silence this warning, decorate the function with @tf.autograph.experimental.do_not_convert\n",
      "WARNING: AutoGraph could not transform <function Model.make_predict_function.<locals>.predict_function at 0x7f9f0e30e700> and will run it as-is.\n",
      "Please report this to the TensorFlow team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output.\n",
      "Cause: closure mismatch, requested ('self', 'step_function'), but source function had ()\n",
      "To silence this warning, decorate the function with @tf.autograph.experimental.do_not_convert\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "0.9345351043643264"
      ]
     },
     "execution_count": 140,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import numpy as np\n",
    "from sklearn.metrics import accuracy_score\n",
    "y_pred = model.predict_classes(x_test)\n",
    "y_true = y_test['Activity']\n",
    "accuracy_score(y_true, y_pred)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 143,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 624.75x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "from sklearn.decomposition import PCA\n",
    "pca = PCA(n_components=2)\n",
    "label_dict = {1: 'WALKING',           \n",
    "2: 'WALKING_UPSTAIRS',  \n",
    "3: 'WALKING_DOWNSTAIRS',\n",
    "4: 'SITTING',           \n",
    "5: 'STANDING',          \n",
    "6: 'LAYING',            \n",
    "7: 'STAND_TO_SIT',      \n",
    "8: 'SIT_TO_STAND',      \n",
    "9: 'SIT_TO_LIE',        \n",
    "10: 'LIE_TO_SIT',        \n",
    "11: 'STAND_TO_LIE',      \n",
    "12: 'LIE_TO_STAND'}\n",
    "\n",
    "principalComponents = pca.fit_transform(x_train)\n",
    "pca_data = pd.DataFrame({'x1':principalComponents[:,0], 'x2':principalComponents[:,1] ,'Activity':y_train['Activity']})\n",
    "sns.lmplot(data = pca_data, x = 'x1', y = 'x2', hue = 'Activity', fit_reg = False, height = 8)\n",
    "plt.show()"
   ]
  }
 ],
 "metadata": {
  "interpreter": {
   "hash": "aee8b7b246df8f9039afb4144a1f6fd8d2ca17a180786b69acc140d282b71a49"
  },
  "kernelspec": {
   "display_name": "Python 3.8.2 64-bit",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
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