18-Mar-2024, 16:45:45
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Traditional ML algorithm Performance
Dataset Size = 900
c term coefficient = 0.026527187869310777
bv term coefficient = 4.3365607288090295
ang term coefficient = 0.09595490427496339
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Training set
Set size = 540
R2 = 0.929
MAE = 0.129
RMSE = 0.168
Mean Bias Error = 0.000
Mean Absolute Percentage Error = 0.045
Error Standard Deviation = 0.168
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Validation set
Set size = 180
R2 = 0.905
MAE = 0.135
RMSE = 0.176
Mean Bias Error = -0.018
Mean Absolute Percentage Error = 0.045
Error Standard Deviation = 0.175
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Test set
Set size = 180
R2 = 0.933
MAE = 0.127
RMSE = 0.156
Mean Bias Error = 0.008
Mean Absolute Percentage Error = 0.045
Error Standard Deviation = 0.156
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OUTLIERS (TEST SET)
