18-Mar-2024, 15:44:54
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Traditional ML algorithm Performance
Dataset Size = 300
c term coefficient = 0.02205080749983578
bv term coefficient = 5.514862184391893
ang term coefficient = 0.08118308370933298
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Training set
Set size = 180
R2 = 0.918
MAE = 0.136
RMSE = 0.178
Mean Bias Error = 0.000
Mean Absolute Percentage Error = 0.048
Error Standard Deviation = 0.178
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Validation set
Set size = 60
R2 = 0.928
MAE = 0.147
RMSE = 0.193
Mean Bias Error = -0.010
Mean Absolute Percentage Error = 0.061
Error Standard Deviation = 0.193
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Test set
Set size = 60
R2 = 0.906
MAE = 0.144
RMSE = 0.179
Mean Bias Error = 0.010
Mean Absolute Percentage Error = 0.052
Error Standard Deviation = 0.179
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OUTLIERS (TEST SET)
