18-Mar-2024, 15:44:53
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Traditional ML algorithm Performance
Dataset Size = 300
c term coefficient = 0.021977824186033914
bv term coefficient = 4.743967144534855
ang term coefficient = 0.09662839204653237
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Training set
Set size = 180
R2 = 0.927
MAE = 0.141
RMSE = 0.183
Mean Bias Error = -0.000
Mean Absolute Percentage Error = 0.049
Error Standard Deviation = 0.183
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Validation set
Set size = 60
R2 = 0.910
MAE = 0.139
RMSE = 0.175
Mean Bias Error = 0.016
Mean Absolute Percentage Error = 0.047
Error Standard Deviation = 0.174
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Test set
Set size = 60
R2 = 0.911
MAE = 0.126
RMSE = 0.164
Mean Bias Error = 0.037
Mean Absolute Percentage Error = 0.044
Error Standard Deviation = 0.160
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OUTLIERS (TEST SET)
