18-Mar-2024, 16:29:26
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Traditional ML algorithm Performance
Dataset Size = 800
c term coefficient = 0.02400005091352771
bv term coefficient = 4.506775237562077
ang term coefficient = 0.1011555533629904
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Training set
Set size = 480
R2 = 0.928
MAE = 0.132
RMSE = 0.171
Mean Bias Error = 0.000
Mean Absolute Percentage Error = 0.046
Error Standard Deviation = 0.171
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Validation set
Set size = 160
R2 = 0.931
MAE = 0.130
RMSE = 0.158
Mean Bias Error = 0.029
Mean Absolute Percentage Error = 0.046
Error Standard Deviation = 0.156
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Test set
Set size = 160
R2 = 0.933
MAE = 0.132
RMSE = 0.160
Mean Bias Error = 0.014
Mean Absolute Percentage Error = 0.047
Error Standard Deviation = 0.159
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OUTLIERS (TEST SET)
