18-Mar-2024, 15:44:53
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Traditional ML algorithm Performance
Dataset Size = 300
c term coefficient = 0.026339074497328283
bv term coefficient = 4.143587884469234
ang term coefficient = 0.0977970868437296
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Training set
Set size = 180
R2 = 0.933
MAE = 0.130
RMSE = 0.170
Mean Bias Error = 0.000
Mean Absolute Percentage Error = 0.045
Error Standard Deviation = 0.170
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Validation set
Set size = 60
R2 = 0.891
MAE = 0.158
RMSE = 0.215
Mean Bias Error = -0.068
Mean Absolute Percentage Error = 0.052
Error Standard Deviation = 0.204
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Test set
Set size = 60
R2 = 0.916
MAE = 0.122
RMSE = 0.159
Mean Bias Error = 0.011
Mean Absolute Percentage Error = 0.043
Error Standard Deviation = 0.159
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OUTLIERS (TEST SET)
