18-Mar-2024, 15:41:11
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Traditional ML algorithm Performance
Dataset Size = 200
c term coefficient = 0.0244069600209053
bv term coefficient = 4.339045057827171
ang term coefficient = 0.10140095975337002
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Training set
Set size = 120
R2 = 0.918
MAE = 0.130
RMSE = 0.171
Mean Bias Error = 0.000
Mean Absolute Percentage Error = 0.045
Error Standard Deviation = 0.171
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Validation set
Set size = 40
R2 = 0.874
MAE = 0.126
RMSE = 0.163
Mean Bias Error = 0.003
Mean Absolute Percentage Error = 0.043
Error Standard Deviation = 0.163
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Test set
Set size = 40
R2 = 0.931
MAE = 0.132
RMSE = 0.178
Mean Bias Error = -0.005
Mean Absolute Percentage Error = 0.049
Error Standard Deviation = 0.178
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OUTLIERS (TEST SET)
