18-Mar-2024, 16:02:48
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Traditional ML algorithm Performance
Dataset Size = 600
c term coefficient = 0.023530869473559073
bv term coefficient = 4.61193715361164
ang term coefficient = 0.10043666642630396
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Training set
Set size = 360
R2 = 0.934
MAE = 0.132
RMSE = 0.170
Mean Bias Error = -0.000
Mean Absolute Percentage Error = 0.047
Error Standard Deviation = 0.170
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Validation set
Set size = 120
R2 = 0.930
MAE = 0.138
RMSE = 0.166
Mean Bias Error = 0.018
Mean Absolute Percentage Error = 0.051
Error Standard Deviation = 0.165
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Test set
Set size = 120
R2 = 0.941
MAE = 0.125
RMSE = 0.156
Mean Bias Error = 0.021
Mean Absolute Percentage Error = 0.045
Error Standard Deviation = 0.155
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OUTLIERS (TEST SET)
