18-Mar-2024, 16:14:14
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Traditional ML algorithm Performance
Dataset Size = 700
c term coefficient = 0.02361121639943451
bv term coefficient = 4.711178020779514
ang term coefficient = 0.09343832869005612
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Training set
Set size = 420
R2 = 0.931
MAE = 0.129
RMSE = 0.163
Mean Bias Error = -0.000
Mean Absolute Percentage Error = 0.045
Error Standard Deviation = 0.163
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Validation set
Set size = 140
R2 = 0.923
MAE = 0.142
RMSE = 0.187
Mean Bias Error = 0.002
Mean Absolute Percentage Error = 0.051
Error Standard Deviation = 0.187
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Test set
Set size = 140
R2 = 0.931
MAE = 0.133
RMSE = 0.163
Mean Bias Error = 0.009
Mean Absolute Percentage Error = 0.049
Error Standard Deviation = 0.163
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OUTLIERS (TEST SET)
