18-Mar-2024, 16:02:47
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Traditional ML algorithm Performance
Dataset Size = 600
c term coefficient = 0.022581993121649862
bv term coefficient = 4.795501393681457
ang term coefficient = 0.09610412519562063
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Training set
Set size = 360
R2 = 0.933
MAE = 0.135
RMSE = 0.171
Mean Bias Error = 0.000
Mean Absolute Percentage Error = 0.048
Error Standard Deviation = 0.171
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Validation set
Set size = 120
R2 = 0.930
MAE = 0.138
RMSE = 0.166
Mean Bias Error = 0.014
Mean Absolute Percentage Error = 0.052
Error Standard Deviation = 0.166
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Test set
Set size = 120
R2 = 0.945
MAE = 0.119
RMSE = 0.152
Mean Bias Error = 0.002
Mean Absolute Percentage Error = 0.042
Error Standard Deviation = 0.152
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OUTLIERS (TEST SET)
