18-Mar-2024, 15:41:11
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Traditional ML algorithm Performance
Dataset Size = 200
c term coefficient = 0.023644816473320857
bv term coefficient = 4.203545279565867
ang term coefficient = 0.098507777341039
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Training set
Set size = 120
R2 = 0.913
MAE = 0.127
RMSE = 0.165
Mean Bias Error = -0.000
Mean Absolute Percentage Error = 0.043
Error Standard Deviation = 0.165
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Validation set
Set size = 40
R2 = 0.898
MAE = 0.142
RMSE = 0.184
Mean Bias Error = 0.047
Mean Absolute Percentage Error = 0.051
Error Standard Deviation = 0.178
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Test set
Set size = 40
R2 = 0.929
MAE = 0.132
RMSE = 0.180
Mean Bias Error = 0.003
Mean Absolute Percentage Error = 0.050
Error Standard Deviation = 0.180
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OUTLIERS (TEST SET)
