Human Activity Recognition¶

In [1]:
import numpy as np 
import pandas as pd 
import matplotlib.pyplot as plt
%matplotlib inline
import seaborn as sns
import tensorflow as tf

from sklearn.preprocessing import StandardScaler
from sklearn.decomposition import PCA
from sklearn.preprocessing import LabelEncoder
from tensorflow import keras
from sklearn.metrics import accuracy_score, confusion_matrix, classification_report

pd.set_option('display.max_columns', None)
sns.set_style('darkgrid')
In [2]:
## reading training data
train_df = pd.read_csv('train.csv.zip')
##reading test data
test_df = pd.read_csv('test.csv.zip')
In [3]:
train_df.head()
Out[3]:
tBodyAcc-mean()-X tBodyAcc-mean()-Y tBodyAcc-mean()-Z tBodyAcc-std()-X tBodyAcc-std()-Y tBodyAcc-std()-Z tBodyAcc-mad()-X tBodyAcc-mad()-Y tBodyAcc-mad()-Z tBodyAcc-max()-X tBodyAcc-max()-Y tBodyAcc-max()-Z tBodyAcc-min()-X tBodyAcc-min()-Y tBodyAcc-min()-Z tBodyAcc-sma() tBodyAcc-energy()-X tBodyAcc-energy()-Y tBodyAcc-energy()-Z tBodyAcc-iqr()-X tBodyAcc-iqr()-Y tBodyAcc-iqr()-Z tBodyAcc-entropy()-X tBodyAcc-entropy()-Y tBodyAcc-entropy()-Z tBodyAcc-arCoeff()-X,1 tBodyAcc-arCoeff()-X,2 tBodyAcc-arCoeff()-X,3 tBodyAcc-arCoeff()-X,4 tBodyAcc-arCoeff()-Y,1 tBodyAcc-arCoeff()-Y,2 tBodyAcc-arCoeff()-Y,3 tBodyAcc-arCoeff()-Y,4 tBodyAcc-arCoeff()-Z,1 tBodyAcc-arCoeff()-Z,2 tBodyAcc-arCoeff()-Z,3 tBodyAcc-arCoeff()-Z,4 tBodyAcc-correlation()-X,Y tBodyAcc-correlation()-X,Z tBodyAcc-correlation()-Y,Z tGravityAcc-mean()-X tGravityAcc-mean()-Y tGravityAcc-mean()-Z tGravityAcc-std()-X tGravityAcc-std()-Y tGravityAcc-std()-Z tGravityAcc-mad()-X tGravityAcc-mad()-Y tGravityAcc-mad()-Z tGravityAcc-max()-X tGravityAcc-max()-Y tGravityAcc-max()-Z tGravityAcc-min()-X tGravityAcc-min()-Y tGravityAcc-min()-Z tGravityAcc-sma() tGravityAcc-energy()-X tGravityAcc-energy()-Y tGravityAcc-energy()-Z tGravityAcc-iqr()-X tGravityAcc-iqr()-Y tGravityAcc-iqr()-Z tGravityAcc-entropy()-X tGravityAcc-entropy()-Y tGravityAcc-entropy()-Z tGravityAcc-arCoeff()-X,1 tGravityAcc-arCoeff()-X,2 tGravityAcc-arCoeff()-X,3 tGravityAcc-arCoeff()-X,4 tGravityAcc-arCoeff()-Y,1 tGravityAcc-arCoeff()-Y,2 tGravityAcc-arCoeff()-Y,3 tGravityAcc-arCoeff()-Y,4 tGravityAcc-arCoeff()-Z,1 tGravityAcc-arCoeff()-Z,2 tGravityAcc-arCoeff()-Z,3 tGravityAcc-arCoeff()-Z,4 tGravityAcc-correlation()-X,Y tGravityAcc-correlation()-X,Z tGravityAcc-correlation()-Y,Z tBodyAccJerk-mean()-X tBodyAccJerk-mean()-Y tBodyAccJerk-mean()-Z tBodyAccJerk-std()-X tBodyAccJerk-std()-Y tBodyAccJerk-std()-Z tBodyAccJerk-mad()-X tBodyAccJerk-mad()-Y tBodyAccJerk-mad()-Z tBodyAccJerk-max()-X tBodyAccJerk-max()-Y tBodyAccJerk-max()-Z tBodyAccJerk-min()-X tBodyAccJerk-min()-Y tBodyAccJerk-min()-Z tBodyAccJerk-sma() tBodyAccJerk-energy()-X tBodyAccJerk-energy()-Y tBodyAccJerk-energy()-Z tBodyAccJerk-iqr()-X tBodyAccJerk-iqr()-Y tBodyAccJerk-iqr()-Z tBodyAccJerk-entropy()-X tBodyAccJerk-entropy()-Y tBodyAccJerk-entropy()-Z tBodyAccJerk-arCoeff()-X,1 tBodyAccJerk-arCoeff()-X,2 tBodyAccJerk-arCoeff()-X,3 tBodyAccJerk-arCoeff()-X,4 tBodyAccJerk-arCoeff()-Y,1 tBodyAccJerk-arCoeff()-Y,2 tBodyAccJerk-arCoeff()-Y,3 tBodyAccJerk-arCoeff()-Y,4 tBodyAccJerk-arCoeff()-Z,1 tBodyAccJerk-arCoeff()-Z,2 tBodyAccJerk-arCoeff()-Z,3 tBodyAccJerk-arCoeff()-Z,4 tBodyAccJerk-correlation()-X,Y tBodyAccJerk-correlation()-X,Z tBodyAccJerk-correlation()-Y,Z tBodyGyro-mean()-X tBodyGyro-mean()-Y tBodyGyro-mean()-Z tBodyGyro-std()-X tBodyGyro-std()-Y tBodyGyro-std()-Z tBodyGyro-mad()-X tBodyGyro-mad()-Y tBodyGyro-mad()-Z tBodyGyro-max()-X tBodyGyro-max()-Y tBodyGyro-max()-Z tBodyGyro-min()-X tBodyGyro-min()-Y tBodyGyro-min()-Z tBodyGyro-sma() tBodyGyro-energy()-X tBodyGyro-energy()-Y tBodyGyro-energy()-Z tBodyGyro-iqr()-X tBodyGyro-iqr()-Y tBodyGyro-iqr()-Z tBodyGyro-entropy()-X tBodyGyro-entropy()-Y tBodyGyro-entropy()-Z tBodyGyro-arCoeff()-X,1 tBodyGyro-arCoeff()-X,2 tBodyGyro-arCoeff()-X,3 tBodyGyro-arCoeff()-X,4 tBodyGyro-arCoeff()-Y,1 tBodyGyro-arCoeff()-Y,2 tBodyGyro-arCoeff()-Y,3 tBodyGyro-arCoeff()-Y,4 tBodyGyro-arCoeff()-Z,1 tBodyGyro-arCoeff()-Z,2 tBodyGyro-arCoeff()-Z,3 tBodyGyro-arCoeff()-Z,4 tBodyGyro-correlation()-X,Y tBodyGyro-correlation()-X,Z tBodyGyro-correlation()-Y,Z tBodyGyroJerk-mean()-X tBodyGyroJerk-mean()-Y tBodyGyroJerk-mean()-Z tBodyGyroJerk-std()-X tBodyGyroJerk-std()-Y tBodyGyroJerk-std()-Z tBodyGyroJerk-mad()-X tBodyGyroJerk-mad()-Y tBodyGyroJerk-mad()-Z tBodyGyroJerk-max()-X tBodyGyroJerk-max()-Y tBodyGyroJerk-max()-Z tBodyGyroJerk-min()-X tBodyGyroJerk-min()-Y tBodyGyroJerk-min()-Z tBodyGyroJerk-sma() tBodyGyroJerk-energy()-X tBodyGyroJerk-energy()-Y tBodyGyroJerk-energy()-Z tBodyGyroJerk-iqr()-X tBodyGyroJerk-iqr()-Y tBodyGyroJerk-iqr()-Z tBodyGyroJerk-entropy()-X tBodyGyroJerk-entropy()-Y tBodyGyroJerk-entropy()-Z tBodyGyroJerk-arCoeff()-X,1 tBodyGyroJerk-arCoeff()-X,2 tBodyGyroJerk-arCoeff()-X,3 tBodyGyroJerk-arCoeff()-X,4 tBodyGyroJerk-arCoeff()-Y,1 tBodyGyroJerk-arCoeff()-Y,2 tBodyGyroJerk-arCoeff()-Y,3 tBodyGyroJerk-arCoeff()-Y,4 tBodyGyroJerk-arCoeff()-Z,1 tBodyGyroJerk-arCoeff()-Z,2 tBodyGyroJerk-arCoeff()-Z,3 tBodyGyroJerk-arCoeff()-Z,4 tBodyGyroJerk-correlation()-X,Y tBodyGyroJerk-correlation()-X,Z tBodyGyroJerk-correlation()-Y,Z tBodyAccMag-mean() tBodyAccMag-std() tBodyAccMag-mad() tBodyAccMag-max() tBodyAccMag-min() tBodyAccMag-sma() tBodyAccMag-energy() tBodyAccMag-iqr() tBodyAccMag-entropy() tBodyAccMag-arCoeff()1 tBodyAccMag-arCoeff()2 tBodyAccMag-arCoeff()3 tBodyAccMag-arCoeff()4 tGravityAccMag-mean() tGravityAccMag-std() tGravityAccMag-mad() tGravityAccMag-max() tGravityAccMag-min() tGravityAccMag-sma() tGravityAccMag-energy() tGravityAccMag-iqr() tGravityAccMag-entropy() tGravityAccMag-arCoeff()1 tGravityAccMag-arCoeff()2 tGravityAccMag-arCoeff()3 tGravityAccMag-arCoeff()4 tBodyAccJerkMag-mean() tBodyAccJerkMag-std() tBodyAccJerkMag-mad() tBodyAccJerkMag-max() tBodyAccJerkMag-min() tBodyAccJerkMag-sma() tBodyAccJerkMag-energy() tBodyAccJerkMag-iqr() tBodyAccJerkMag-entropy() tBodyAccJerkMag-arCoeff()1 tBodyAccJerkMag-arCoeff()2 tBodyAccJerkMag-arCoeff()3 tBodyAccJerkMag-arCoeff()4 tBodyGyroMag-mean() tBodyGyroMag-std() tBodyGyroMag-mad() tBodyGyroMag-max() tBodyGyroMag-min() tBodyGyroMag-sma() tBodyGyroMag-energy() tBodyGyroMag-iqr() tBodyGyroMag-entropy() tBodyGyroMag-arCoeff()1 tBodyGyroMag-arCoeff()2 tBodyGyroMag-arCoeff()3 tBodyGyroMag-arCoeff()4 tBodyGyroJerkMag-mean() tBodyGyroJerkMag-std() tBodyGyroJerkMag-mad() tBodyGyroJerkMag-max() tBodyGyroJerkMag-min() tBodyGyroJerkMag-sma() tBodyGyroJerkMag-energy() tBodyGyroJerkMag-iqr() tBodyGyroJerkMag-entropy() tBodyGyroJerkMag-arCoeff()1 tBodyGyroJerkMag-arCoeff()2 tBodyGyroJerkMag-arCoeff()3 tBodyGyroJerkMag-arCoeff()4 fBodyAcc-mean()-X fBodyAcc-mean()-Y fBodyAcc-mean()-Z fBodyAcc-std()-X fBodyAcc-std()-Y fBodyAcc-std()-Z fBodyAcc-mad()-X fBodyAcc-mad()-Y fBodyAcc-mad()-Z fBodyAcc-max()-X fBodyAcc-max()-Y fBodyAcc-max()-Z fBodyAcc-min()-X fBodyAcc-min()-Y fBodyAcc-min()-Z fBodyAcc-sma() fBodyAcc-energy()-X fBodyAcc-energy()-Y fBodyAcc-energy()-Z fBodyAcc-iqr()-X fBodyAcc-iqr()-Y fBodyAcc-iqr()-Z fBodyAcc-entropy()-X fBodyAcc-entropy()-Y fBodyAcc-entropy()-Z fBodyAcc-maxInds-X fBodyAcc-maxInds-Y fBodyAcc-maxInds-Z fBodyAcc-meanFreq()-X fBodyAcc-meanFreq()-Y fBodyAcc-meanFreq()-Z fBodyAcc-skewness()-X fBodyAcc-kurtosis()-X fBodyAcc-skewness()-Y fBodyAcc-kurtosis()-Y fBodyAcc-skewness()-Z fBodyAcc-kurtosis()-Z fBodyAcc-bandsEnergy()-1,8 fBodyAcc-bandsEnergy()-9,16 fBodyAcc-bandsEnergy()-17,24 fBodyAcc-bandsEnergy()-25,32 fBodyAcc-bandsEnergy()-33,40 fBodyAcc-bandsEnergy()-41,48 fBodyAcc-bandsEnergy()-49,56 fBodyAcc-bandsEnergy()-57,64 fBodyAcc-bandsEnergy()-1,16 fBodyAcc-bandsEnergy()-17,32 fBodyAcc-bandsEnergy()-33,48 fBodyAcc-bandsEnergy()-49,64 fBodyAcc-bandsEnergy()-1,24 fBodyAcc-bandsEnergy()-25,48 fBodyAcc-bandsEnergy()-1,8.1 fBodyAcc-bandsEnergy()-9,16.1 fBodyAcc-bandsEnergy()-17,24.1 fBodyAcc-bandsEnergy()-25,32.1 fBodyAcc-bandsEnergy()-33,40.1 fBodyAcc-bandsEnergy()-41,48.1 fBodyAcc-bandsEnergy()-49,56.1 fBodyAcc-bandsEnergy()-57,64.1 fBodyAcc-bandsEnergy()-1,16.1 fBodyAcc-bandsEnergy()-17,32.1 fBodyAcc-bandsEnergy()-33,48.1 fBodyAcc-bandsEnergy()-49,64.1 fBodyAcc-bandsEnergy()-1,24.1 fBodyAcc-bandsEnergy()-25,48.1 fBodyAcc-bandsEnergy()-1,8.2 fBodyAcc-bandsEnergy()-9,16.2 fBodyAcc-bandsEnergy()-17,24.2 fBodyAcc-bandsEnergy()-25,32.2 fBodyAcc-bandsEnergy()-33,40.2 fBodyAcc-bandsEnergy()-41,48.2 fBodyAcc-bandsEnergy()-49,56.2 fBodyAcc-bandsEnergy()-57,64.2 fBodyAcc-bandsEnergy()-1,16.2 fBodyAcc-bandsEnergy()-17,32.2 fBodyAcc-bandsEnergy()-33,48.2 fBodyAcc-bandsEnergy()-49,64.2 fBodyAcc-bandsEnergy()-1,24.2 fBodyAcc-bandsEnergy()-25,48.2 fBodyAccJerk-mean()-X fBodyAccJerk-mean()-Y fBodyAccJerk-mean()-Z fBodyAccJerk-std()-X fBodyAccJerk-std()-Y fBodyAccJerk-std()-Z fBodyAccJerk-mad()-X fBodyAccJerk-mad()-Y fBodyAccJerk-mad()-Z fBodyAccJerk-max()-X fBodyAccJerk-max()-Y fBodyAccJerk-max()-Z fBodyAccJerk-min()-X fBodyAccJerk-min()-Y fBodyAccJerk-min()-Z fBodyAccJerk-sma() fBodyAccJerk-energy()-X fBodyAccJerk-energy()-Y fBodyAccJerk-energy()-Z fBodyAccJerk-iqr()-X fBodyAccJerk-iqr()-Y fBodyAccJerk-iqr()-Z fBodyAccJerk-entropy()-X fBodyAccJerk-entropy()-Y fBodyAccJerk-entropy()-Z fBodyAccJerk-maxInds-X fBodyAccJerk-maxInds-Y fBodyAccJerk-maxInds-Z fBodyAccJerk-meanFreq()-X fBodyAccJerk-meanFreq()-Y fBodyAccJerk-meanFreq()-Z fBodyAccJerk-skewness()-X fBodyAccJerk-kurtosis()-X fBodyAccJerk-skewness()-Y fBodyAccJerk-kurtosis()-Y fBodyAccJerk-skewness()-Z fBodyAccJerk-kurtosis()-Z fBodyAccJerk-bandsEnergy()-1,8 fBodyAccJerk-bandsEnergy()-9,16 fBodyAccJerk-bandsEnergy()-17,24 fBodyAccJerk-bandsEnergy()-25,32 fBodyAccJerk-bandsEnergy()-33,40 fBodyAccJerk-bandsEnergy()-41,48 fBodyAccJerk-bandsEnergy()-49,56 fBodyAccJerk-bandsEnergy()-57,64 fBodyAccJerk-bandsEnergy()-1,16 fBodyAccJerk-bandsEnergy()-17,32 fBodyAccJerk-bandsEnergy()-33,48 fBodyAccJerk-bandsEnergy()-49,64 fBodyAccJerk-bandsEnergy()-1,24 fBodyAccJerk-bandsEnergy()-25,48 fBodyAccJerk-bandsEnergy()-1,8.1 fBodyAccJerk-bandsEnergy()-9,16.1 fBodyAccJerk-bandsEnergy()-17,24.1 fBodyAccJerk-bandsEnergy()-25,32.1 fBodyAccJerk-bandsEnergy()-33,40.1 fBodyAccJerk-bandsEnergy()-41,48.1 fBodyAccJerk-bandsEnergy()-49,56.1 fBodyAccJerk-bandsEnergy()-57,64.1 fBodyAccJerk-bandsEnergy()-1,16.1 fBodyAccJerk-bandsEnergy()-17,32.1 fBodyAccJerk-bandsEnergy()-33,48.1 fBodyAccJerk-bandsEnergy()-49,64.1 fBodyAccJerk-bandsEnergy()-1,24.1 fBodyAccJerk-bandsEnergy()-25,48.1 fBodyAccJerk-bandsEnergy()-1,8.2 fBodyAccJerk-bandsEnergy()-9,16.2 fBodyAccJerk-bandsEnergy()-17,24.2 fBodyAccJerk-bandsEnergy()-25,32.2 fBodyAccJerk-bandsEnergy()-33,40.2 fBodyAccJerk-bandsEnergy()-41,48.2 fBodyAccJerk-bandsEnergy()-49,56.2 fBodyAccJerk-bandsEnergy()-57,64.2 fBodyAccJerk-bandsEnergy()-1,16.2 fBodyAccJerk-bandsEnergy()-17,32.2 fBodyAccJerk-bandsEnergy()-33,48.2 fBodyAccJerk-bandsEnergy()-49,64.2 fBodyAccJerk-bandsEnergy()-1,24.2 fBodyAccJerk-bandsEnergy()-25,48.2 fBodyGyro-mean()-X fBodyGyro-mean()-Y fBodyGyro-mean()-Z fBodyGyro-std()-X fBodyGyro-std()-Y fBodyGyro-std()-Z fBodyGyro-mad()-X fBodyGyro-mad()-Y fBodyGyro-mad()-Z fBodyGyro-max()-X fBodyGyro-max()-Y fBodyGyro-max()-Z fBodyGyro-min()-X fBodyGyro-min()-Y fBodyGyro-min()-Z fBodyGyro-sma() fBodyGyro-energy()-X fBodyGyro-energy()-Y fBodyGyro-energy()-Z fBodyGyro-iqr()-X fBodyGyro-iqr()-Y fBodyGyro-iqr()-Z fBodyGyro-entropy()-X fBodyGyro-entropy()-Y fBodyGyro-entropy()-Z fBodyGyro-maxInds-X fBodyGyro-maxInds-Y fBodyGyro-maxInds-Z fBodyGyro-meanFreq()-X fBodyGyro-meanFreq()-Y fBodyGyro-meanFreq()-Z fBodyGyro-skewness()-X fBodyGyro-kurtosis()-X fBodyGyro-skewness()-Y fBodyGyro-kurtosis()-Y fBodyGyro-skewness()-Z fBodyGyro-kurtosis()-Z fBodyGyro-bandsEnergy()-1,8 fBodyGyro-bandsEnergy()-9,16 fBodyGyro-bandsEnergy()-17,24 fBodyGyro-bandsEnergy()-25,32 fBodyGyro-bandsEnergy()-33,40 fBodyGyro-bandsEnergy()-41,48 fBodyGyro-bandsEnergy()-49,56 fBodyGyro-bandsEnergy()-57,64 fBodyGyro-bandsEnergy()-1,16 fBodyGyro-bandsEnergy()-17,32 fBodyGyro-bandsEnergy()-33,48 fBodyGyro-bandsEnergy()-49,64 fBodyGyro-bandsEnergy()-1,24 fBodyGyro-bandsEnergy()-25,48 fBodyGyro-bandsEnergy()-1,8.1 fBodyGyro-bandsEnergy()-9,16.1 fBodyGyro-bandsEnergy()-17,24.1 fBodyGyro-bandsEnergy()-25,32.1 fBodyGyro-bandsEnergy()-33,40.1 fBodyGyro-bandsEnergy()-41,48.1 fBodyGyro-bandsEnergy()-49,56.1 fBodyGyro-bandsEnergy()-57,64.1 fBodyGyro-bandsEnergy()-1,16.1 fBodyGyro-bandsEnergy()-17,32.1 fBodyGyro-bandsEnergy()-33,48.1 fBodyGyro-bandsEnergy()-49,64.1 fBodyGyro-bandsEnergy()-1,24.1 fBodyGyro-bandsEnergy()-25,48.1 fBodyGyro-bandsEnergy()-1,8.2 fBodyGyro-bandsEnergy()-9,16.2 fBodyGyro-bandsEnergy()-17,24.2 fBodyGyro-bandsEnergy()-25,32.2 fBodyGyro-bandsEnergy()-33,40.2 fBodyGyro-bandsEnergy()-41,48.2 fBodyGyro-bandsEnergy()-49,56.2 fBodyGyro-bandsEnergy()-57,64.2 fBodyGyro-bandsEnergy()-1,16.2 fBodyGyro-bandsEnergy()-17,32.2 fBodyGyro-bandsEnergy()-33,48.2 fBodyGyro-bandsEnergy()-49,64.2 fBodyGyro-bandsEnergy()-1,24.2 fBodyGyro-bandsEnergy()-25,48.2 fBodyAccMag-mean() fBodyAccMag-std() fBodyAccMag-mad() fBodyAccMag-max() fBodyAccMag-min() fBodyAccMag-sma() fBodyAccMag-energy() fBodyAccMag-iqr() fBodyAccMag-entropy() fBodyAccMag-maxInds fBodyAccMag-meanFreq() fBodyAccMag-skewness() fBodyAccMag-kurtosis() fBodyBodyAccJerkMag-mean() fBodyBodyAccJerkMag-std() fBodyBodyAccJerkMag-mad() fBodyBodyAccJerkMag-max() fBodyBodyAccJerkMag-min() fBodyBodyAccJerkMag-sma() fBodyBodyAccJerkMag-energy() fBodyBodyAccJerkMag-iqr() fBodyBodyAccJerkMag-entropy() fBodyBodyAccJerkMag-maxInds fBodyBodyAccJerkMag-meanFreq() fBodyBodyAccJerkMag-skewness() fBodyBodyAccJerkMag-kurtosis() fBodyBodyGyroMag-mean() fBodyBodyGyroMag-std() fBodyBodyGyroMag-mad() fBodyBodyGyroMag-max() fBodyBodyGyroMag-min() fBodyBodyGyroMag-sma() fBodyBodyGyroMag-energy() fBodyBodyGyroMag-iqr() fBodyBodyGyroMag-entropy() fBodyBodyGyroMag-maxInds fBodyBodyGyroMag-meanFreq() fBodyBodyGyroMag-skewness() fBodyBodyGyroMag-kurtosis() fBodyBodyGyroJerkMag-mean() fBodyBodyGyroJerkMag-std() fBodyBodyGyroJerkMag-mad() fBodyBodyGyroJerkMag-max() fBodyBodyGyroJerkMag-min() fBodyBodyGyroJerkMag-sma() fBodyBodyGyroJerkMag-energy() fBodyBodyGyroJerkMag-iqr() fBodyBodyGyroJerkMag-entropy() fBodyBodyGyroJerkMag-maxInds fBodyBodyGyroJerkMag-meanFreq() fBodyBodyGyroJerkMag-skewness() fBodyBodyGyroJerkMag-kurtosis() angle(tBodyAccMean,gravity) angle(tBodyAccJerkMean),gravityMean) angle(tBodyGyroMean,gravityMean) angle(tBodyGyroJerkMean,gravityMean) angle(X,gravityMean) angle(Y,gravityMean) angle(Z,gravityMean) subject Activity
0 0.288585 -0.020294 -0.132905 -0.995279 -0.983111 -0.913526 -0.995112 -0.983185 -0.923527 -0.934724 -0.567378 -0.744413 0.852947 0.685845 0.814263 -0.965523 -0.999945 -0.999863 -0.994612 -0.994231 -0.987614 -0.943220 -0.407747 -0.679338 -0.602122 0.929294 -0.853011 0.359910 -0.058526 0.256892 -0.224848 0.264106 -0.095246 0.278851 -0.465085 0.491936 -0.190884 0.376314 0.435129 0.660790 0.963396 -0.140840 0.115375 -0.985250 -0.981708 -0.877625 -0.985001 -0.984416 -0.894677 0.892055 -0.161265 0.124660 0.977436 -0.123213 0.056483 -0.375426 0.899469 -0.970905 -0.975510 -0.984325 -0.988849 -0.917743 -1.0 -1.0 0.113806 -0.590425 0.591146 -0.591773 0.592469 -0.745449 0.720862 -0.712372 0.711300 -0.995112 0.995675 -0.995668 0.991653 0.570222 0.439027 0.986913 0.077996 0.005001 -0.067831 -0.993519 -0.988360 -0.993575 -0.994488 -0.986207 -0.992818 -0.985180 -0.991994 -0.993119 0.989835 0.991957 0.990519 -0.993522 -0.999935 -0.999820 -0.999878 -0.994364 -0.986025 -0.989234 -0.819949 -0.793046 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3 0.279174 -0.026201 -0.123283 -0.996091 -0.983403 -0.990675 -0.997099 -0.982750 -0.989302 -0.938692 -0.576159 -0.829711 0.843609 0.682401 0.837869 -0.986093 -0.999976 -0.999736 -0.999504 -0.997180 -0.983799 -0.986007 -0.627446 -0.850930 -0.911872 0.061436 0.074840 0.198204 -0.264307 0.072545 -0.155320 0.323154 -0.170813 0.294938 -0.306081 0.482148 -0.470129 -0.305693 -0.362654 0.507459 0.967615 -0.143976 0.099850 -0.996646 -0.981393 -0.978476 -0.996457 -0.980962 -0.978456 0.893817 -0.163711 0.093425 0.986821 -0.121336 0.095753 -0.400278 0.910621 -0.969400 -0.982420 -0.995976 -0.980663 -0.979779 -1.0 -1.0 -0.596101 -0.064935 0.075427 -0.085823 0.096208 -0.295036 0.228310 -0.206281 0.204801 -0.385410 0.386373 -0.387120 0.385263 -0.991309 -0.968821 0.984256 0.077321 0.020058 -0.009865 -0.992697 -0.987553 -0.993498 -0.994266 -0.985717 -0.991483 -0.987077 -0.991786 -0.989769 0.988390 0.992544 0.993218 -0.992868 -0.999924 -0.999803 -0.999883 -0.994678 -0.987033 -0.988896 -0.820804 -0.754968 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4 0.276629 -0.016570 -0.115362 -0.998139 -0.980817 -0.990482 -0.998321 -0.979672 -0.990441 -0.942469 -0.569174 -0.824705 0.849095 0.683250 0.837869 -0.992653 -0.999991 -0.999856 -0.999757 -0.998004 -0.981232 -0.991325 -0.786553 -0.559477 -0.761434 0.313276 -0.131208 0.191161 0.086904 0.257615 -0.272505 0.434728 -0.315375 0.439744 -0.269069 0.179414 -0.088952 -0.155804 -0.189763 0.599213 0.968224 -0.148750 0.094486 -0.998429 -0.988098 -0.978745 -0.998411 -0.988654 -0.978936 0.893817 -0.166786 0.091682 0.987434 -0.121834 0.094059 -0.400477 0.912235 -0.967051 -0.984363 -0.998318 -0.990611 -0.980412 -1.0 -1.0 -0.616578 -0.257267 0.268918 -0.280665 0.292616 -0.166693 0.089943 -0.066327 0.067131 -0.237474 0.239268 -0.241012 0.240569 -0.408330 -0.184840 0.964797 0.073444 0.019122 0.016780 -0.996420 -0.988359 -0.992455 -0.996597 -0.986537 -0.990686 -0.996993 -0.991818 -0.989769 0.994303 0.992544 0.985609 -0.993832 -0.999969 -0.999820 -0.999860 -0.995888 -0.986524 -0.990572 -0.850744 -0.746258 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In [4]:
test_df.head()
Out[4]:
tBodyAcc-mean()-X tBodyAcc-mean()-Y tBodyAcc-mean()-Z tBodyAcc-std()-X tBodyAcc-std()-Y tBodyAcc-std()-Z tBodyAcc-mad()-X tBodyAcc-mad()-Y tBodyAcc-mad()-Z tBodyAcc-max()-X tBodyAcc-max()-Y tBodyAcc-max()-Z tBodyAcc-min()-X tBodyAcc-min()-Y tBodyAcc-min()-Z tBodyAcc-sma() tBodyAcc-energy()-X tBodyAcc-energy()-Y tBodyAcc-energy()-Z tBodyAcc-iqr()-X tBodyAcc-iqr()-Y tBodyAcc-iqr()-Z tBodyAcc-entropy()-X tBodyAcc-entropy()-Y tBodyAcc-entropy()-Z tBodyAcc-arCoeff()-X,1 tBodyAcc-arCoeff()-X,2 tBodyAcc-arCoeff()-X,3 tBodyAcc-arCoeff()-X,4 tBodyAcc-arCoeff()-Y,1 tBodyAcc-arCoeff()-Y,2 tBodyAcc-arCoeff()-Y,3 tBodyAcc-arCoeff()-Y,4 tBodyAcc-arCoeff()-Z,1 tBodyAcc-arCoeff()-Z,2 tBodyAcc-arCoeff()-Z,3 tBodyAcc-arCoeff()-Z,4 tBodyAcc-correlation()-X,Y tBodyAcc-correlation()-X,Z tBodyAcc-correlation()-Y,Z tGravityAcc-mean()-X tGravityAcc-mean()-Y tGravityAcc-mean()-Z tGravityAcc-std()-X tGravityAcc-std()-Y tGravityAcc-std()-Z tGravityAcc-mad()-X tGravityAcc-mad()-Y tGravityAcc-mad()-Z tGravityAcc-max()-X tGravityAcc-max()-Y tGravityAcc-max()-Z tGravityAcc-min()-X tGravityAcc-min()-Y tGravityAcc-min()-Z tGravityAcc-sma() tGravityAcc-energy()-X tGravityAcc-energy()-Y tGravityAcc-energy()-Z tGravityAcc-iqr()-X tGravityAcc-iqr()-Y tGravityAcc-iqr()-Z tGravityAcc-entropy()-X tGravityAcc-entropy()-Y tGravityAcc-entropy()-Z tGravityAcc-arCoeff()-X,1 tGravityAcc-arCoeff()-X,2 tGravityAcc-arCoeff()-X,3 tGravityAcc-arCoeff()-X,4 tGravityAcc-arCoeff()-Y,1 tGravityAcc-arCoeff()-Y,2 tGravityAcc-arCoeff()-Y,3 tGravityAcc-arCoeff()-Y,4 tGravityAcc-arCoeff()-Z,1 tGravityAcc-arCoeff()-Z,2 tGravityAcc-arCoeff()-Z,3 tGravityAcc-arCoeff()-Z,4 tGravityAcc-correlation()-X,Y tGravityAcc-correlation()-X,Z tGravityAcc-correlation()-Y,Z tBodyAccJerk-mean()-X tBodyAccJerk-mean()-Y tBodyAccJerk-mean()-Z tBodyAccJerk-std()-X tBodyAccJerk-std()-Y tBodyAccJerk-std()-Z tBodyAccJerk-mad()-X tBodyAccJerk-mad()-Y tBodyAccJerk-mad()-Z tBodyAccJerk-max()-X tBodyAccJerk-max()-Y tBodyAccJerk-max()-Z tBodyAccJerk-min()-X tBodyAccJerk-min()-Y tBodyAccJerk-min()-Z tBodyAccJerk-sma() tBodyAccJerk-energy()-X tBodyAccJerk-energy()-Y tBodyAccJerk-energy()-Z tBodyAccJerk-iqr()-X tBodyAccJerk-iqr()-Y tBodyAccJerk-iqr()-Z tBodyAccJerk-entropy()-X tBodyAccJerk-entropy()-Y tBodyAccJerk-entropy()-Z tBodyAccJerk-arCoeff()-X,1 tBodyAccJerk-arCoeff()-X,2 tBodyAccJerk-arCoeff()-X,3 tBodyAccJerk-arCoeff()-X,4 tBodyAccJerk-arCoeff()-Y,1 tBodyAccJerk-arCoeff()-Y,2 tBodyAccJerk-arCoeff()-Y,3 tBodyAccJerk-arCoeff()-Y,4 tBodyAccJerk-arCoeff()-Z,1 tBodyAccJerk-arCoeff()-Z,2 tBodyAccJerk-arCoeff()-Z,3 tBodyAccJerk-arCoeff()-Z,4 tBodyAccJerk-correlation()-X,Y tBodyAccJerk-correlation()-X,Z tBodyAccJerk-correlation()-Y,Z tBodyGyro-mean()-X tBodyGyro-mean()-Y tBodyGyro-mean()-Z tBodyGyro-std()-X tBodyGyro-std()-Y tBodyGyro-std()-Z tBodyGyro-mad()-X tBodyGyro-mad()-Y tBodyGyro-mad()-Z tBodyGyro-max()-X tBodyGyro-max()-Y tBodyGyro-max()-Z tBodyGyro-min()-X tBodyGyro-min()-Y tBodyGyro-min()-Z tBodyGyro-sma() tBodyGyro-energy()-X tBodyGyro-energy()-Y tBodyGyro-energy()-Z tBodyGyro-iqr()-X tBodyGyro-iqr()-Y tBodyGyro-iqr()-Z tBodyGyro-entropy()-X tBodyGyro-entropy()-Y tBodyGyro-entropy()-Z tBodyGyro-arCoeff()-X,1 tBodyGyro-arCoeff()-X,2 tBodyGyro-arCoeff()-X,3 tBodyGyro-arCoeff()-X,4 tBodyGyro-arCoeff()-Y,1 tBodyGyro-arCoeff()-Y,2 tBodyGyro-arCoeff()-Y,3 tBodyGyro-arCoeff()-Y,4 tBodyGyro-arCoeff()-Z,1 tBodyGyro-arCoeff()-Z,2 tBodyGyro-arCoeff()-Z,3 tBodyGyro-arCoeff()-Z,4 tBodyGyro-correlation()-X,Y tBodyGyro-correlation()-X,Z tBodyGyro-correlation()-Y,Z tBodyGyroJerk-mean()-X tBodyGyroJerk-mean()-Y tBodyGyroJerk-mean()-Z tBodyGyroJerk-std()-X tBodyGyroJerk-std()-Y tBodyGyroJerk-std()-Z tBodyGyroJerk-mad()-X tBodyGyroJerk-mad()-Y tBodyGyroJerk-mad()-Z tBodyGyroJerk-max()-X tBodyGyroJerk-max()-Y tBodyGyroJerk-max()-Z tBodyGyroJerk-min()-X tBodyGyroJerk-min()-Y tBodyGyroJerk-min()-Z tBodyGyroJerk-sma() tBodyGyroJerk-energy()-X tBodyGyroJerk-energy()-Y tBodyGyroJerk-energy()-Z tBodyGyroJerk-iqr()-X tBodyGyroJerk-iqr()-Y tBodyGyroJerk-iqr()-Z tBodyGyroJerk-entropy()-X tBodyGyroJerk-entropy()-Y tBodyGyroJerk-entropy()-Z tBodyGyroJerk-arCoeff()-X,1 tBodyGyroJerk-arCoeff()-X,2 tBodyGyroJerk-arCoeff()-X,3 tBodyGyroJerk-arCoeff()-X,4 tBodyGyroJerk-arCoeff()-Y,1 tBodyGyroJerk-arCoeff()-Y,2 tBodyGyroJerk-arCoeff()-Y,3 tBodyGyroJerk-arCoeff()-Y,4 tBodyGyroJerk-arCoeff()-Z,1 tBodyGyroJerk-arCoeff()-Z,2 tBodyGyroJerk-arCoeff()-Z,3 tBodyGyroJerk-arCoeff()-Z,4 tBodyGyroJerk-correlation()-X,Y tBodyGyroJerk-correlation()-X,Z tBodyGyroJerk-correlation()-Y,Z tBodyAccMag-mean() tBodyAccMag-std() tBodyAccMag-mad() tBodyAccMag-max() tBodyAccMag-min() tBodyAccMag-sma() tBodyAccMag-energy() tBodyAccMag-iqr() tBodyAccMag-entropy() tBodyAccMag-arCoeff()1 tBodyAccMag-arCoeff()2 tBodyAccMag-arCoeff()3 tBodyAccMag-arCoeff()4 tGravityAccMag-mean() tGravityAccMag-std() tGravityAccMag-mad() tGravityAccMag-max() tGravityAccMag-min() tGravityAccMag-sma() tGravityAccMag-energy() tGravityAccMag-iqr() tGravityAccMag-entropy() tGravityAccMag-arCoeff()1 tGravityAccMag-arCoeff()2 tGravityAccMag-arCoeff()3 tGravityAccMag-arCoeff()4 tBodyAccJerkMag-mean() tBodyAccJerkMag-std() tBodyAccJerkMag-mad() tBodyAccJerkMag-max() tBodyAccJerkMag-min() tBodyAccJerkMag-sma() tBodyAccJerkMag-energy() tBodyAccJerkMag-iqr() tBodyAccJerkMag-entropy() tBodyAccJerkMag-arCoeff()1 tBodyAccJerkMag-arCoeff()2 tBodyAccJerkMag-arCoeff()3 tBodyAccJerkMag-arCoeff()4 tBodyGyroMag-mean() tBodyGyroMag-std() tBodyGyroMag-mad() tBodyGyroMag-max() tBodyGyroMag-min() tBodyGyroMag-sma() tBodyGyroMag-energy() tBodyGyroMag-iqr() tBodyGyroMag-entropy() tBodyGyroMag-arCoeff()1 tBodyGyroMag-arCoeff()2 tBodyGyroMag-arCoeff()3 tBodyGyroMag-arCoeff()4 tBodyGyroJerkMag-mean() tBodyGyroJerkMag-std() tBodyGyroJerkMag-mad() tBodyGyroJerkMag-max() tBodyGyroJerkMag-min() tBodyGyroJerkMag-sma() tBodyGyroJerkMag-energy() tBodyGyroJerkMag-iqr() tBodyGyroJerkMag-entropy() tBodyGyroJerkMag-arCoeff()1 tBodyGyroJerkMag-arCoeff()2 tBodyGyroJerkMag-arCoeff()3 tBodyGyroJerkMag-arCoeff()4 fBodyAcc-mean()-X fBodyAcc-mean()-Y fBodyAcc-mean()-Z fBodyAcc-std()-X fBodyAcc-std()-Y fBodyAcc-std()-Z fBodyAcc-mad()-X fBodyAcc-mad()-Y fBodyAcc-mad()-Z fBodyAcc-max()-X fBodyAcc-max()-Y fBodyAcc-max()-Z fBodyAcc-min()-X fBodyAcc-min()-Y fBodyAcc-min()-Z fBodyAcc-sma() fBodyAcc-energy()-X fBodyAcc-energy()-Y fBodyAcc-energy()-Z fBodyAcc-iqr()-X fBodyAcc-iqr()-Y fBodyAcc-iqr()-Z fBodyAcc-entropy()-X fBodyAcc-entropy()-Y fBodyAcc-entropy()-Z fBodyAcc-maxInds-X fBodyAcc-maxInds-Y fBodyAcc-maxInds-Z fBodyAcc-meanFreq()-X fBodyAcc-meanFreq()-Y fBodyAcc-meanFreq()-Z fBodyAcc-skewness()-X fBodyAcc-kurtosis()-X fBodyAcc-skewness()-Y fBodyAcc-kurtosis()-Y fBodyAcc-skewness()-Z fBodyAcc-kurtosis()-Z fBodyAcc-bandsEnergy()-1,8 fBodyAcc-bandsEnergy()-9,16 fBodyAcc-bandsEnergy()-17,24 fBodyAcc-bandsEnergy()-25,32 fBodyAcc-bandsEnergy()-33,40 fBodyAcc-bandsEnergy()-41,48 fBodyAcc-bandsEnergy()-49,56 fBodyAcc-bandsEnergy()-57,64 fBodyAcc-bandsEnergy()-1,16 fBodyAcc-bandsEnergy()-17,32 fBodyAcc-bandsEnergy()-33,48 fBodyAcc-bandsEnergy()-49,64 fBodyAcc-bandsEnergy()-1,24 fBodyAcc-bandsEnergy()-25,48 fBodyAcc-bandsEnergy()-1,8.1 fBodyAcc-bandsEnergy()-9,16.1 fBodyAcc-bandsEnergy()-17,24.1 fBodyAcc-bandsEnergy()-25,32.1 fBodyAcc-bandsEnergy()-33,40.1 fBodyAcc-bandsEnergy()-41,48.1 fBodyAcc-bandsEnergy()-49,56.1 fBodyAcc-bandsEnergy()-57,64.1 fBodyAcc-bandsEnergy()-1,16.1 fBodyAcc-bandsEnergy()-17,32.1 fBodyAcc-bandsEnergy()-33,48.1 fBodyAcc-bandsEnergy()-49,64.1 fBodyAcc-bandsEnergy()-1,24.1 fBodyAcc-bandsEnergy()-25,48.1 fBodyAcc-bandsEnergy()-1,8.2 fBodyAcc-bandsEnergy()-9,16.2 fBodyAcc-bandsEnergy()-17,24.2 fBodyAcc-bandsEnergy()-25,32.2 fBodyAcc-bandsEnergy()-33,40.2 fBodyAcc-bandsEnergy()-41,48.2 fBodyAcc-bandsEnergy()-49,56.2 fBodyAcc-bandsEnergy()-57,64.2 fBodyAcc-bandsEnergy()-1,16.2 fBodyAcc-bandsEnergy()-17,32.2 fBodyAcc-bandsEnergy()-33,48.2 fBodyAcc-bandsEnergy()-49,64.2 fBodyAcc-bandsEnergy()-1,24.2 fBodyAcc-bandsEnergy()-25,48.2 fBodyAccJerk-mean()-X fBodyAccJerk-mean()-Y fBodyAccJerk-mean()-Z fBodyAccJerk-std()-X fBodyAccJerk-std()-Y fBodyAccJerk-std()-Z fBodyAccJerk-mad()-X fBodyAccJerk-mad()-Y fBodyAccJerk-mad()-Z fBodyAccJerk-max()-X fBodyAccJerk-max()-Y fBodyAccJerk-max()-Z fBodyAccJerk-min()-X fBodyAccJerk-min()-Y fBodyAccJerk-min()-Z fBodyAccJerk-sma() fBodyAccJerk-energy()-X fBodyAccJerk-energy()-Y fBodyAccJerk-energy()-Z fBodyAccJerk-iqr()-X fBodyAccJerk-iqr()-Y fBodyAccJerk-iqr()-Z fBodyAccJerk-entropy()-X fBodyAccJerk-entropy()-Y fBodyAccJerk-entropy()-Z fBodyAccJerk-maxInds-X fBodyAccJerk-maxInds-Y fBodyAccJerk-maxInds-Z fBodyAccJerk-meanFreq()-X fBodyAccJerk-meanFreq()-Y fBodyAccJerk-meanFreq()-Z fBodyAccJerk-skewness()-X fBodyAccJerk-kurtosis()-X fBodyAccJerk-skewness()-Y fBodyAccJerk-kurtosis()-Y fBodyAccJerk-skewness()-Z fBodyAccJerk-kurtosis()-Z fBodyAccJerk-bandsEnergy()-1,8 fBodyAccJerk-bandsEnergy()-9,16 fBodyAccJerk-bandsEnergy()-17,24 fBodyAccJerk-bandsEnergy()-25,32 fBodyAccJerk-bandsEnergy()-33,40 fBodyAccJerk-bandsEnergy()-41,48 fBodyAccJerk-bandsEnergy()-49,56 fBodyAccJerk-bandsEnergy()-57,64 fBodyAccJerk-bandsEnergy()-1,16 fBodyAccJerk-bandsEnergy()-17,32 fBodyAccJerk-bandsEnergy()-33,48 fBodyAccJerk-bandsEnergy()-49,64 fBodyAccJerk-bandsEnergy()-1,24 fBodyAccJerk-bandsEnergy()-25,48 fBodyAccJerk-bandsEnergy()-1,8.1 fBodyAccJerk-bandsEnergy()-9,16.1 fBodyAccJerk-bandsEnergy()-17,24.1 fBodyAccJerk-bandsEnergy()-25,32.1 fBodyAccJerk-bandsEnergy()-33,40.1 fBodyAccJerk-bandsEnergy()-41,48.1 fBodyAccJerk-bandsEnergy()-49,56.1 fBodyAccJerk-bandsEnergy()-57,64.1 fBodyAccJerk-bandsEnergy()-1,16.1 fBodyAccJerk-bandsEnergy()-17,32.1 fBodyAccJerk-bandsEnergy()-33,48.1 fBodyAccJerk-bandsEnergy()-49,64.1 fBodyAccJerk-bandsEnergy()-1,24.1 fBodyAccJerk-bandsEnergy()-25,48.1 fBodyAccJerk-bandsEnergy()-1,8.2 fBodyAccJerk-bandsEnergy()-9,16.2 fBodyAccJerk-bandsEnergy()-17,24.2 fBodyAccJerk-bandsEnergy()-25,32.2 fBodyAccJerk-bandsEnergy()-33,40.2 fBodyAccJerk-bandsEnergy()-41,48.2 fBodyAccJerk-bandsEnergy()-49,56.2 fBodyAccJerk-bandsEnergy()-57,64.2 fBodyAccJerk-bandsEnergy()-1,16.2 fBodyAccJerk-bandsEnergy()-17,32.2 fBodyAccJerk-bandsEnergy()-33,48.2 fBodyAccJerk-bandsEnergy()-49,64.2 fBodyAccJerk-bandsEnergy()-1,24.2 fBodyAccJerk-bandsEnergy()-25,48.2 fBodyGyro-mean()-X fBodyGyro-mean()-Y fBodyGyro-mean()-Z fBodyGyro-std()-X fBodyGyro-std()-Y fBodyGyro-std()-Z fBodyGyro-mad()-X fBodyGyro-mad()-Y fBodyGyro-mad()-Z fBodyGyro-max()-X fBodyGyro-max()-Y fBodyGyro-max()-Z fBodyGyro-min()-X fBodyGyro-min()-Y fBodyGyro-min()-Z fBodyGyro-sma() fBodyGyro-energy()-X fBodyGyro-energy()-Y fBodyGyro-energy()-Z fBodyGyro-iqr()-X fBodyGyro-iqr()-Y fBodyGyro-iqr()-Z fBodyGyro-entropy()-X fBodyGyro-entropy()-Y fBodyGyro-entropy()-Z fBodyGyro-maxInds-X fBodyGyro-maxInds-Y fBodyGyro-maxInds-Z fBodyGyro-meanFreq()-X fBodyGyro-meanFreq()-Y fBodyGyro-meanFreq()-Z fBodyGyro-skewness()-X fBodyGyro-kurtosis()-X fBodyGyro-skewness()-Y fBodyGyro-kurtosis()-Y fBodyGyro-skewness()-Z fBodyGyro-kurtosis()-Z fBodyGyro-bandsEnergy()-1,8 fBodyGyro-bandsEnergy()-9,16 fBodyGyro-bandsEnergy()-17,24 fBodyGyro-bandsEnergy()-25,32 fBodyGyro-bandsEnergy()-33,40 fBodyGyro-bandsEnergy()-41,48 fBodyGyro-bandsEnergy()-49,56 fBodyGyro-bandsEnergy()-57,64 fBodyGyro-bandsEnergy()-1,16 fBodyGyro-bandsEnergy()-17,32 fBodyGyro-bandsEnergy()-33,48 fBodyGyro-bandsEnergy()-49,64 fBodyGyro-bandsEnergy()-1,24 fBodyGyro-bandsEnergy()-25,48 fBodyGyro-bandsEnergy()-1,8.1 fBodyGyro-bandsEnergy()-9,16.1 fBodyGyro-bandsEnergy()-17,24.1 fBodyGyro-bandsEnergy()-25,32.1 fBodyGyro-bandsEnergy()-33,40.1 fBodyGyro-bandsEnergy()-41,48.1 fBodyGyro-bandsEnergy()-49,56.1 fBodyGyro-bandsEnergy()-57,64.1 fBodyGyro-bandsEnergy()-1,16.1 fBodyGyro-bandsEnergy()-17,32.1 fBodyGyro-bandsEnergy()-33,48.1 fBodyGyro-bandsEnergy()-49,64.1 fBodyGyro-bandsEnergy()-1,24.1 fBodyGyro-bandsEnergy()-25,48.1 fBodyGyro-bandsEnergy()-1,8.2 fBodyGyro-bandsEnergy()-9,16.2 fBodyGyro-bandsEnergy()-17,24.2 fBodyGyro-bandsEnergy()-25,32.2 fBodyGyro-bandsEnergy()-33,40.2 fBodyGyro-bandsEnergy()-41,48.2 fBodyGyro-bandsEnergy()-49,56.2 fBodyGyro-bandsEnergy()-57,64.2 fBodyGyro-bandsEnergy()-1,16.2 fBodyGyro-bandsEnergy()-17,32.2 fBodyGyro-bandsEnergy()-33,48.2 fBodyGyro-bandsEnergy()-49,64.2 fBodyGyro-bandsEnergy()-1,24.2 fBodyGyro-bandsEnergy()-25,48.2 fBodyAccMag-mean() fBodyAccMag-std() fBodyAccMag-mad() fBodyAccMag-max() fBodyAccMag-min() fBodyAccMag-sma() fBodyAccMag-energy() fBodyAccMag-iqr() fBodyAccMag-entropy() fBodyAccMag-maxInds fBodyAccMag-meanFreq() fBodyAccMag-skewness() fBodyAccMag-kurtosis() fBodyBodyAccJerkMag-mean() fBodyBodyAccJerkMag-std() fBodyBodyAccJerkMag-mad() fBodyBodyAccJerkMag-max() fBodyBodyAccJerkMag-min() fBodyBodyAccJerkMag-sma() fBodyBodyAccJerkMag-energy() fBodyBodyAccJerkMag-iqr() fBodyBodyAccJerkMag-entropy() fBodyBodyAccJerkMag-maxInds fBodyBodyAccJerkMag-meanFreq() fBodyBodyAccJerkMag-skewness() fBodyBodyAccJerkMag-kurtosis() fBodyBodyGyroMag-mean() fBodyBodyGyroMag-std() fBodyBodyGyroMag-mad() fBodyBodyGyroMag-max() fBodyBodyGyroMag-min() fBodyBodyGyroMag-sma() fBodyBodyGyroMag-energy() fBodyBodyGyroMag-iqr() fBodyBodyGyroMag-entropy() fBodyBodyGyroMag-maxInds fBodyBodyGyroMag-meanFreq() fBodyBodyGyroMag-skewness() fBodyBodyGyroMag-kurtosis() fBodyBodyGyroJerkMag-mean() fBodyBodyGyroJerkMag-std() fBodyBodyGyroJerkMag-mad() fBodyBodyGyroJerkMag-max() fBodyBodyGyroJerkMag-min() fBodyBodyGyroJerkMag-sma() fBodyBodyGyroJerkMag-energy() fBodyBodyGyroJerkMag-iqr() fBodyBodyGyroJerkMag-entropy() fBodyBodyGyroJerkMag-maxInds fBodyBodyGyroJerkMag-meanFreq() fBodyBodyGyroJerkMag-skewness() fBodyBodyGyroJerkMag-kurtosis() angle(tBodyAccMean,gravity) angle(tBodyAccJerkMean),gravityMean) angle(tBodyGyroMean,gravityMean) angle(tBodyGyroJerkMean,gravityMean) angle(X,gravityMean) angle(Y,gravityMean) angle(Z,gravityMean) subject Activity
0 0.257178 -0.023285 -0.014654 -0.938404 -0.920091 -0.667683 -0.952501 -0.925249 -0.674302 -0.894088 -0.554577 -0.466223 0.717208 0.635502 0.789497 -0.877764 -0.997766 -0.998414 -0.934345 -0.975669 -0.949824 -0.830478 -0.168084 -0.378996 0.246217 0.521204 -0.487793 0.482280 -0.045462 0.211955 -0.134894 0.130858 -0.014176 -0.105971 0.073544 -0.171516 0.040063 0.076989 -0.490546 -0.709003 0.936489 -0.282719 0.115288 -0.925427 -0.937014 -0.564288 -0.930020 -0.937822 -0.605588 0.906083 -0.279244 0.152895 0.944461 -0.262160 -0.076162 -0.017827 0.829297 -0.864621 -0.967795 -0.949727 -0.946119 -0.759718 -0.424975 -1.0 0.219227 -0.430254 0.431048 -0.431839 0.432774 -0.795468 0.781314 -0.780391 0.785272 -0.984410 0.987180 -0.989415 0.987686 0.980580 -0.996352 -0.960117 0.072046 0.045754 -0.106043 -0.906683 -0.938016 -0.935936 -0.916081 -0.936725 -0.949054 -0.903224 -0.949818 -0.891403 0.898479 0.950182 0.946153 -0.930673 -0.995046 -0.997496 -0.997016 -0.936416 -0.946874 -0.968775 -0.085174 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-0.999602 -0.999645 -0.997867 -0.999396 -0.999805 -0.999753 -0.998354 -0.999025 -0.999976 -0.998082 -0.999625 -0.999321 -0.999073 -0.998777 -0.999641 -0.972846 -0.980833 -0.972060 -0.973198 -0.977194 -0.979095 -0.969847 -0.979619 -0.971003 -0.971987 -0.983042 -0.988354 -0.999407 -0.991045 -0.994447 -0.975608 -0.999583 -0.999713 -0.999595 -0.979128 -0.984363 -0.976315 -0.541890 -0.517392 -0.598913 -1.0 -0.935484 -1.000000 -0.479145 -0.210084 0.049310 -0.066824 -0.444241 -0.274668 -0.699391 -0.566676 -0.877218 -0.999590 -0.999796 -0.999856 -0.999954 -0.999842 -0.999903 -0.999926 -1.000000 -0.999584 -0.999867 -0.999852 -0.999958 -0.999584 -0.999925 -0.999688 -0.999836 -0.999955 -0.999981 -0.999984 -0.999878 -0.999841 -0.999881 -0.999684 -0.999953 -0.999962 -0.999837 -0.999686 -0.999974 -0.999816 -0.999423 -0.999757 -0.999927 -0.999896 -0.999670 -0.999781 -0.999893 -0.999634 -0.999735 -0.999840 -0.999830 -0.999605 -0.999902 -0.975650 -0.983784 -0.977176 -0.991908 -0.992782 -0.975650 -0.999570 -0.977158 -0.816674 -1.000000 0.342456 -0.777358 -0.945478 -0.971069 -0.970308 -0.968550 -0.975455 -0.976358 -0.971069 -0.999269 -0.978222 -0.898000 -1.000000 0.140729 -0.206062 -0.639809 -0.975209 -0.973998 -0.967097 -0.982849 -0.997663 -0.975209 -0.999504 -0.968260 -0.561266 -0.897436 -0.168805 -0.662317 -0.925364 -0.985689 -0.983273 -0.983422 -0.986857 -0.989609 -0.985689 -0.999831 -0.986148 -0.809976 -0.936508 0.062891 -0.190422 -0.640736 -0.034956 0.202302 0.064103 0.145068 -0.702771 0.280083 -0.079346 2 STANDING
3 0.270298 -0.032614 -0.117520 -0.994743 -0.973268 -0.967091 -0.995274 -0.974471 -0.968897 -0.938610 -0.568512 -0.799116 0.848305 0.667864 0.822442 -0.974418 -0.999953 -0.999330 -0.998933 -0.995236 -0.978739 -0.969982 -0.749578 -0.899226 -0.553813 0.174684 -0.051332 0.034200 0.153639 0.030767 -0.129277 0.446100 -0.419496 0.271493 -0.225769 0.416376 -0.286445 -0.063792 -0.167111 0.544916 0.928881 -0.293396 0.142926 -0.993139 -0.970419 -0.991592 -0.992979 -0.971224 -0.993127 0.856269 -0.305101 0.136124 0.947309 -0.272916 0.142107 0.046106 0.809379 -0.853713 -0.962713 -0.992482 -0.972632 -0.995988 -0.823393 -1.0 -0.700157 -0.343016 0.358975 -0.375191 0.391776 -0.233036 0.176241 -0.169368 0.184874 -0.296573 0.303787 -0.310680 0.314964 0.985534 0.653169 0.746518 0.074853 0.032274 0.012141 -0.990802 -0.972896 -0.975925 -0.989789 -0.972983 -0.978223 -0.991813 -0.975269 -0.961855 0.993850 0.976349 0.969699 -0.982531 -0.999895 -0.999373 -0.999358 -0.985243 -0.981085 -0.979699 -0.699608 -0.614042 -0.607447 0.134498 0.254013 0.063299 0.459689 0.118920 -0.114708 0.374966 0.478378 0.212301 -0.112063 0.113197 0.565742 -0.197876 0.175518 0.619629 -0.056642 -0.126018 0.118337 -0.967790 -0.975134 -0.963233 -0.969427 -0.973915 -0.963513 -0.873794 -0.950917 -0.715170 0.816059 0.894620 0.823804 -0.946614 -0.998935 -0.999174 -0.998833 -0.975291 -0.971681 -0.965072 -0.635423 -0.885931 0.068723 -0.323542 0.164505 0.142031 -0.124894 -0.247914 -0.011457 0.572776 -0.504816 0.036072 -0.208876 0.468712 -0.355105 -0.630287 0.588649 -0.891736 -0.102232 -0.044713 -0.053436 -0.984171 -0.989554 -0.980724 -0.983995 -0.991705 -0.983699 -0.981580 -0.990571 -0.967349 0.985940 0.987576 0.979710 -0.988551 -0.999812 -0.999920 -0.999705 -0.983185 -0.993233 -0.987271 -0.400849 -0.455295 -0.416436 -0.130058 0.022739 0.061346 0.228397 -0.025702 -0.079729 0.297773 0.539736 0.212001 -0.211078 0.197870 0.574948 0.167042 -0.196844 -0.815616 -0.974325 -0.977016 -0.981155 -0.969212 -0.986263 -0.974325 -0.999349 -0.984823 -0.486317 0.131086 -0.071748 0.046840 -0.134311 -0.974325 -0.977016 -0.981155 -0.969212 -0.986263 -0.974325 -0.999349 -0.984823 -0.486317 0.131086 -0.071748 0.046840 -0.134311 -0.982712 -0.974807 -0.981795 -0.964366 -0.983707 -0.982712 -0.999541 -0.989087 -0.638559 0.392679 -0.087441 -0.251712 -0.225318 -0.947184 -0.970368 -0.966984 -0.970568 -0.950410 -0.947184 -0.998493 -0.965771 0.109002 -0.413785 0.251498 -0.015239 -0.001457 -0.988820 -0.985568 -0.989036 -0.984086 -0.981386 -0.988820 -0.999871 -0.993147 -0.499859 0.645559 -0.300944 0.297658 -0.885207 -0.993030 -0.968284 -0.966912 -0.995594 -0.976918 -0.968958 -0.994053 -0.970726 -0.964932 -0.997495 -0.987887 -0.971511 -0.996773 -0.981330 -0.995059 -0.978688 -0.999963 -0.999378 -0.998923 -0.991987 -0.962432 -0.969366 -1.000000 -0.741924 -0.611831 -0.096774 -0.933333 -1.000000 0.062700 0.261720 0.151825 -0.635581 -0.928796 -0.706592 -0.953788 -0.590387 -0.816694 -0.999983 -0.999941 -0.999877 -0.999890 -0.999842 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-0.977719 -0.816674 -0.931034 0.331205 -0.651386 -0.870975 -0.971655 -0.978484 -0.974080 -0.984915 -0.995508 -0.971655 -0.999400 -0.980365 -1.000000 -0.968254 0.148649 -0.619905 -0.887178 -0.976297 -0.971248 -0.966029 -0.974878 -0.996129 -0.976297 -0.999458 -0.975174 -0.566733 -0.948718 -0.285636 -0.446478 -0.756855 -0.985562 -0.985843 -0.984217 -0.988566 -0.992021 -0.985562 -0.999850 -0.984015 -0.849081 -0.936508 0.116695 -0.344418 -0.736124 -0.017067 0.154438 0.340134 0.296407 -0.698954 0.284114 -0.077108 2 STANDING
4 0.274833 -0.027848 -0.129527 -0.993852 -0.967445 -0.978295 -0.994111 -0.965953 -0.977346 -0.938610 -0.560831 -0.825894 0.849179 0.670700 0.829897 -0.975283 -0.999954 -0.999467 -0.998823 -0.993498 -0.967032 -0.976257 -0.590576 -0.740206 -0.799419 0.115570 -0.028923 -0.032804 0.294340 0.000630 -0.045272 0.168419 -0.068156 0.074384 0.027138 -0.145931 -0.050197 0.235151 0.290487 0.457718 0.926600 -0.302961 0.138307 -0.995575 -0.970960 -0.968085 -0.995528 -0.970905 -0.968595 0.853942 -0.312552 0.133541 0.946221 -0.279190 0.130931 0.055351 0.803500 -0.843378 -0.965137 -0.995568 -0.971598 -0.968977 -0.830124 -1.0 -0.301871 -0.481742 0.538510 -0.596321 0.655232 -0.493331 0.462677 -0.465463 0.482940 -0.535545 0.544317 -0.552950 0.558740 0.998345 0.916236 0.928595 0.078377 0.022277 0.002748 -0.992072 -0.978670 -0.986612 -0.991041 -0.976803 -0.985028 -0.994012 -0.986406 -0.985576 0.993851 0.980249 0.984818 -0.986660 -0.999915 -0.999568 -0.999714 -0.987448 -0.977729 -0.981494 -0.744950 -0.637935 -0.661910 0.028594 0.187144 -0.023735 0.289328 0.009164 0.048776 0.085211 0.436506 0.057438 0.258878 -0.120670 0.267825 0.086585 0.424799 0.345779 -0.059992 -0.084723 0.078659 -0.974656 -0.977951 -0.967629 -0.975022 -0.979507 -0.968461 -0.881460 -0.948504 -0.731706 0.816059 0.899262 0.816302 -0.958048 -0.998995 -0.999686 -0.999363 -0.972966 -0.981584 -0.970416 -0.802853 -0.378913 -0.444592 -0.340149 0.134142 0.258369 -0.237458 -0.369761 0.122373 0.207528 0.069397 -0.227273 0.100702 0.020989 0.218569 0.268596 -0.129607 -0.918319 -0.091850 -0.029005 -0.061235 -0.988474 -0.991877 -0.981984 -0.988244 -0.992472 -0.983737 -0.988357 -0.992956 -0.973617 0.990935 0.994746 0.984356 -0.990066 -0.999888 -0.999947 -0.999735 -0.988140 -0.993802 -0.988521 -0.463062 -0.452751 -0.425236 -0.131053 -0.078778 0.219733 0.059802 -0.341920 0.016490 -0.106536 0.487408 -0.230313 0.019517 -0.148039 0.274253 -0.114209 0.117830 -0.750323 -0.975836 -0.976893 -0.979237 -0.975954 -0.993228 -0.975836 -0.999395 -0.979044 -0.447049 -0.075711 0.061553 -0.035948 -0.006066 -0.975836 -0.976893 -0.979237 -0.975954 -0.993228 -0.975836 -0.999395 -0.979044 -0.447049 -0.075711 0.061553 -0.035948 -0.006066 -0.986908 -0.988854 -0.990256 -0.989109 -0.972216 -0.986908 -0.999749 -0.992630 -0.764328 0.209627 -0.131190 -0.096355 -0.073982 -0.957419 -0.969500 -0.963822 -0.975253 -0.969573 -0.957419 -0.998934 -0.960181 0.107736 -0.413611 0.308444 -0.098528 -0.008311 -0.990062 -0.990419 -0.991367 -0.991123 -0.981386 -0.990062 -0.999909 -0.992682 -0.517611 -0.064276 -0.019283 0.391664 -0.525230 -0.992404 -0.969207 -0.979653 -0.994504 -0.967468 -0.978240 -0.993104 -0.970805 -0.976659 -0.995932 -0.972039 -0.978264 -0.994412 -0.985335 -0.985786 -0.982964 -0.999954 -0.999148 -0.999409 -0.991107 -0.978862 -0.978007 -0.946357 -0.757953 -0.809888 -0.548387 -0.933333 -0.923077 -0.018910 -0.009980 0.095215 -0.507391 -0.856879 -0.241418 -0.616952 -0.500353 -0.753787 -0.999961 -0.999961 -0.999890 -0.999903 -0.999866 -0.999904 -0.999961 -0.999977 -0.999960 -0.999883 -0.999895 -0.999966 -0.999957 -0.999889 -0.999070 -0.999632 -0.999820 -0.999469 -0.999511 -0.999455 -0.999498 -0.999797 -0.999115 -0.999680 -0.999466 -0.999608 -0.999161 -0.999462 -0.999355 -0.999769 -0.999718 -0.999765 -0.999546 -0.999510 -0.999706 -0.999899 -0.999441 -0.999768 -0.999551 -0.999771 -0.999423 -0.999720 -0.991480 -0.979835 -0.983493 -0.993571 -0.978697 -0.988503 -0.990948 -0.979436 -0.986951 -0.995519 -0.975105 -0.990615 -0.994560 -0.999807 -0.973229 -0.985296 -0.999914 -0.999569 -0.999714 -0.988791 -0.982505 -0.982273 -1.000000 -0.939120 -1.000000 -0.36 -0.56 -0.24 0.180272 -0.139162 0.100853 -0.655429 -0.915448 -0.271651 -0.636018 -0.671049 -0.934614 -0.999960 -0.999956 -0.999911 -0.999879 -0.999864 -0.999858 -0.999954 -0.999982 -0.999955 -0.999887 -0.999864 -0.999952 -0.999935 -0.999831 -0.999698 -0.999664 -0.999750 -0.999570 -0.999639 -0.999343 -0.999660 -0.999999 -0.999631 -0.999624 -0.999473 -0.999707 -0.999623 -0.999549 -0.999660 -0.999720 -0.999713 -0.999761 -0.999557 -0.999546 -0.999549 -0.999810 -0.999673 -0.999766 -0.999532 -0.999551 -0.999700 -0.999697 -0.976405 -0.980404 -0.968782 -0.974398 -0.976565 -0.970017 -0.973146 -0.978693 -0.963347 -0.973502 -0.984300 -0.978311 -0.998095 -0.992505 -0.991496 -0.975926 -0.999630 -0.999700 -0.999332 -0.986421 -0.990468 -0.984175 -0.605711 -0.585554 -0.569663 -1.0 -0.935484 -0.931034 -0.427502 -0.278131 -0.291308 0.000781 -0.395809 -0.331204 -0.768654 -0.331464 -0.704933 -0.999630 -0.999852 -0.999874 -0.999960 -0.999897 -0.999918 -0.999929 -0.999945 -0.999631 -0.999884 -0.999897 -0.999936 -0.999630 -0.999942 -0.999619 -0.999858 -0.999988 -0.999981 -0.999969 -0.999885 -0.999848 -0.999789 -0.999652 -0.999983 -0.999952 -0.999802 -0.999671 -0.999971 -0.999456 -0.999580 -0.999932 -0.999928 -0.999917 -0.999895 -0.999843 -0.999890 -0.999343 -0.999903 -0.999917 -0.999864 -0.999339 -0.999926 -0.977739 -0.978838 -0.975706 -0.981305 -0.985804 -0.977739 -0.999500 -0.979129 -0.843671 -0.931034 0.071112 -0.311241 -0.590652 -0.987489 -0.989716 -0.988471 -0.991265 -0.988453 -0.987489 -0.999812 -0.989996 -1.000000 -0.809524 0.422249 -0.543096 -0.831313 -0.977007 -0.969619 -0.968915 -0.973746 -0.996970 -0.977007 -0.999429 -0.976111 -0.555564 -1.000000 -0.349061 -0.319763 -0.691739 -0.990498 -0.990572 -0.988406 -0.992653 -0.992505 -0.990498 -0.999925 -0.986376 -0.895847 -0.936508 -0.121711 -0.534685 -0.846595 -0.002223 -0.040046 0.736715 -0.118545 -0.692245 0.290722 -0.073857 2 STANDING
In [5]:
print("train data shape: ", train_df.shape)
print("test data shape: ", test_df.shape)

train data shape:  (7352, 563)
test data shape:  (2947, 563)
In [6]:
## train and test data 
X_train = train_df.iloc[:, :-2]
y_train = train_df.iloc[:, -1]

X_test = test_df.iloc[:, :-2]
y_test = test_df.iloc[:, -1]
In [7]:
## unique classes
y_train.unique()
Out[7]:
array(['STANDING', 'SITTING', 'LAYING', 'WALKING', 'WALKING_DOWNSTAIRS',
       'WALKING_UPSTAIRS'], dtype=object)
In [8]:
## value counts of unique classes
class_label = y_train.value_counts()
In [9]:
plt.figure(figsize=(10, 10))
plt.xticks(rotation=75)
sns.barplot(x=class_label.index, y=class_label);
In [10]:
## Standard Scaler
sc = StandardScaler()

X_train = sc.fit_transform(X_train)
X_test = sc.transform(X_test)
In [11]:
##  LabelEncoder

label_encoder = LabelEncoder()

y_train = label_encoder.fit_transform(y_train)
y_train=pd.get_dummies(y_train).values

y_test = label_encoder.fit_transform(y_test)
y_test=pd.get_dummies(y_test).values
In [12]:
## converting into numpy array
y_train = np.array(y_train)
y_test = np.array(y_test)
In [13]:
y_train
Out[13]:
array([[0, 0, 1, 0, 0, 0],
       [0, 0, 1, 0, 0, 0],
       [0, 0, 1, 0, 0, 0],
       ...,
       [0, 0, 0, 0, 0, 1],
       [0, 0, 0, 0, 0, 1],
       [0, 0, 0, 0, 0, 1]], dtype=uint8)
In [14]:
## PCA 
pca = PCA(n_components=None)

X_train = pca.fit_transform(X_train)
X_test = pca.transform(X_test)
In [15]:
X_train
Out[15]:
array([[-1.61385437e+01,  2.15202401e+00,  3.14478025e+00, ...,
        -7.27665583e-16,  2.30318804e-16, -1.50653952e-17],
       [-1.52961943e+01,  1.38714378e+00, -6.82221071e-01, ...,
         7.11970070e-16,  2.68322184e-17, -4.19319600e-17],
       [-1.51370186e+01,  2.47335094e+00, -1.75664057e+00, ...,
         3.75538253e-16, -3.83392172e-17,  4.38940986e-17],
       ...,
       [ 1.43334359e+01, -1.22607119e+01,  4.02594620e+00, ...,
         8.92662700e-16,  1.04146916e-16,  5.72580148e-17],
       [ 1.28760189e+01, -1.40712559e+01,  2.91606098e+00, ...,
        -8.05406885e-16,  5.03227321e-17,  1.10195283e-17],
       [ 1.30161037e+01, -1.22442612e+01,  1.33604965e+00, ...,
        -4.54315045e-16, -1.76606660e-16,  3.25959270e-17]])
In [16]:
## Model 

model = keras.models.Sequential()
model.add(keras.layers.Dense(units=64,activation='relu'))
model.add(keras.layers.Dense(units=128,activation='relu'))
model.add(keras.layers.Dense(units=64,activation='relu'))
model.add(keras.layers.Dense(units=6,activation='softmax'))
In [17]:
model.compile(optimizer='adam',loss='categorical_crossentropy',metrics=['accuracy'])
In [18]:
history = model.fit(X_train, y_train, batch_size=128, epochs=15, validation_split=0.2)

Epoch 1/15

2023-01-11 21:20:02.114927: W tensorflow/tsl/platform/profile_utils/cpu_utils.cc:128] Failed to get CPU frequency: 0 Hz

46/46 [==============================] - 0s 3ms/step - loss: 0.8520 - accuracy: 0.7016 - val_loss: 0.2719 - val_accuracy: 0.9184
Epoch 2/15
46/46 [==============================] - 0s 1ms/step - loss: 0.1025 - accuracy: 0.9667 - val_loss: 0.1608 - val_accuracy: 0.9422
Epoch 3/15
46/46 [==============================] - 0s 1ms/step - loss: 0.0364 - accuracy: 0.9912 - val_loss: 0.1521 - val_accuracy: 0.9463
Epoch 4/15
46/46 [==============================] - 0s 1ms/step - loss: 0.0236 - accuracy: 0.9937 - val_loss: 0.1871 - val_accuracy: 0.9422
Epoch 5/15
46/46 [==============================] - 0s 2ms/step - loss: 0.0167 - accuracy: 0.9961 - val_loss: 0.2008 - val_accuracy: 0.9436
Epoch 6/15
46/46 [==============================] - 0s 1ms/step - loss: 0.0106 - accuracy: 0.9980 - val_loss: 0.1874 - val_accuracy: 0.9490
Epoch 7/15
46/46 [==============================] - 0s 1ms/step - loss: 0.0066 - accuracy: 0.9985 - val_loss: 0.2195 - val_accuracy: 0.9436
Epoch 8/15
46/46 [==============================] - 0s 1ms/step - loss: 0.0048 - accuracy: 0.9997 - val_loss: 0.2007 - val_accuracy: 0.9551
Epoch 9/15
46/46 [==============================] - 0s 2ms/step - loss: 0.0033 - accuracy: 0.9995 - val_loss: 0.2389 - val_accuracy: 0.9497
Epoch 10/15
46/46 [==============================] - 0s 2ms/step - loss: 0.0021 - accuracy: 0.9998 - val_loss: 0.2283 - val_accuracy: 0.9531
Epoch 11/15
46/46 [==============================] - 0s 1ms/step - loss: 0.0013 - accuracy: 1.0000 - val_loss: 0.2410 - val_accuracy: 0.9504
Epoch 12/15
46/46 [==============================] - 0s 2ms/step - loss: 9.4964e-04 - accuracy: 1.0000 - val_loss: 0.2525 - val_accuracy: 0.9524
Epoch 13/15
46/46 [==============================] - 0s 1ms/step - loss: 7.5933e-04 - accuracy: 1.0000 - val_loss: 0.2558 - val_accuracy: 0.9538
Epoch 14/15
46/46 [==============================] - 0s 1ms/step - loss: 6.0143e-04 - accuracy: 1.0000 - val_loss: 0.2672 - val_accuracy: 0.9531
Epoch 15/15
46/46 [==============================] - 0s 1ms/step - loss: 5.1546e-04 - accuracy: 1.0000 - val_loss: 0.2689 - val_accuracy: 0.9524
In [19]:
## Loss Vs. Epochs

plt.figure(figsize=(10, 5))
plt.plot(history.history['loss'], label='Train Loss')
plt.plot(history.history['val_loss'], label='Test Loss')
plt.xlabel('Epochs')
plt.ylabel('Loss')
plt.legend(['Train Loss', 'Validation Loss']);
In [20]:
## Accuracy Vs. Epochs

plt.figure(figsize=(10, 5))
plt.plot(history.history['accuracy'], label='Train Accuracy')
plt.plot(history.history['val_accuracy'], label='Test Accuracy')
plt.xlabel('Epochs')
plt.ylabel('Accuracy')
plt.legend(['Train Accuracy', 'Validation Accuracy']);
In [21]:
## prediction

pred = model.predict(X_test)

93/93 [==============================] - 0s 411us/step
In [22]:
predic = []

for p in pred:
    p = np.argmax(p)
    predic.append(p)
In [23]:
predic = np.array(predic)
In [24]:
y_test.shape
Out[24]:
(2947, 6)
In [25]:
y_test[0]

y_test_label = []
for i in range(len(y_test)):
    for ind, j in enumerate(y_test[i]):
        if j == 1:
            y_test_label.append(ind)
In [26]:
y_test_label = np.array(y_test_label)
In [27]:
y_test_label
Out[27]:
array([2, 2, 2, ..., 5, 5, 5])
In [28]:
predic
Out[28]:
array([2, 2, 2, ..., 5, 5, 5])
In [29]:
print("Classification Report: \n", classification_report(y_test_label, predic))
print("-" * 100)
print()
print("Accuracy Score: ", accuracy_score(y_test_label, predic))
print("-" * 100)
print()
plt.figure(figsize=(10, 10))
sns.heatmap(confusion_matrix(y_test_label, predic), annot=True, fmt='g')

Classification Report: 
               precision    recall  f1-score   support

           0       1.00      0.94      0.97       537
           1       0.97      0.88      0.92       491
           2       0.85      0.97      0.91       532
           3       0.97      0.99      0.98       496
           4       0.98      0.96      0.97       420
           5       0.97      0.98      0.98       471

    accuracy                           0.95      2947
   macro avg       0.96      0.95      0.96      2947
weighted avg       0.96      0.95      0.95      2947

----------------------------------------------------------------------------------------------------

Accuracy Score:  0.9541907024092298
----------------------------------------------------------------------------------------------------
Out[29]:
<AxesSubplot:>
In [ ]: