18-Mar-2024, 15:50:05
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Traditional ML algorithm Performance
Dataset Size = 400
c term coefficient = 0.023608117609723315
bv term coefficient = 4.551800142493509
ang term coefficient = 0.09623111193484479
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Training set
Set size = 240
R2 = 0.918
MAE = 0.143
RMSE = 0.180
Mean Bias Error = 0.000
Mean Absolute Percentage Error = 0.049
Error Standard Deviation = 0.180
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Validation set
Set size = 80
R2 = 0.939
MAE = 0.128
RMSE = 0.164
Mean Bias Error = 0.022
Mean Absolute Percentage Error = 0.045
Error Standard Deviation = 0.162
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Test set
Set size = 80
R2 = 0.936
MAE = 0.122
RMSE = 0.161
Mean Bias Error = 0.031
Mean Absolute Percentage Error = 0.045
Error Standard Deviation = 0.157
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OUTLIERS (TEST SET)
