18-Mar-2024, 15:44:53
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Traditional ML algorithm Performance
Dataset Size = 300
c term coefficient = 0.022235292707920545
bv term coefficient = 4.6492573715773275
ang term coefficient = 0.10215778146674612
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Training set
Set size = 180
R2 = 0.923
MAE = 0.137
RMSE = 0.180
Mean Bias Error = 0.000
Mean Absolute Percentage Error = 0.048
Error Standard Deviation = 0.180
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Validation set
Set size = 60
R2 = 0.911
MAE = 0.139
RMSE = 0.175
Mean Bias Error = 0.012
Mean Absolute Percentage Error = 0.047
Error Standard Deviation = 0.175
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Test set
Set size = 60
R2 = 0.924
MAE = 0.135
RMSE = 0.176
Mean Bias Error = 0.026
Mean Absolute Percentage Error = 0.049
Error Standard Deviation = 0.174
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OUTLIERS (TEST SET)
