18-Mar-2024, 15:38:26
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Traditional ML algorithm Performance
Dataset Size = 100
c term coefficient = 0.02523357980756468
bv term coefficient = 4.244572642115955
ang term coefficient = 0.09207895483765582
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Training set
Set size = 60
R2 = 0.905
MAE = 0.111
RMSE = 0.160
Mean Bias Error = -0.000
Mean Absolute Percentage Error = 0.038
Error Standard Deviation = 0.160
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Validation set
Set size = 20
R2 = 0.821
MAE = 0.137
RMSE = 0.179
Mean Bias Error = -0.005
Mean Absolute Percentage Error = 0.044
Error Standard Deviation = 0.178
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Test set
Set size = 20
R2 = 0.885
MAE = 0.148
RMSE = 0.186
Mean Bias Error = -0.011
Mean Absolute Percentage Error = 0.048
Error Standard Deviation = 0.186
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OUTLIERS (TEST SET)
