18-Mar-2024, 16:45:45
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Traditional ML algorithm Performance
Dataset Size = 900
c term coefficient = 0.023725146990081342
bv term coefficient = 4.775606859552736
ang term coefficient = 0.09298704793180337
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Training set
Set size = 540
R2 = 0.921
MAE = 0.130
RMSE = 0.165
Mean Bias Error = 0.000
Mean Absolute Percentage Error = 0.045
Error Standard Deviation = 0.165
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Validation set
Set size = 180
R2 = 0.930
MAE = 0.136
RMSE = 0.181
Mean Bias Error = -0.005
Mean Absolute Percentage Error = 0.049
Error Standard Deviation = 0.181
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Test set
Set size = 180
R2 = 0.931
MAE = 0.129
RMSE = 0.158
Mean Bias Error = 0.011
Mean Absolute Percentage Error = 0.046
Error Standard Deviation = 0.158
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OUTLIERS (TEST SET)
