18-Mar-2024, 16:45:43
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Traditional ML algorithm Performance
Dataset Size = 900
c term coefficient = 0.023747438617808238
bv term coefficient = 4.66980437429196
ang term coefficient = 0.0947256867215998
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Training set
Set size = 540
R2 = 0.921
MAE = 0.134
RMSE = 0.174
Mean Bias Error = -0.000
Mean Absolute Percentage Error = 0.047
Error Standard Deviation = 0.174
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Validation set
Set size = 180
R2 = 0.932
MAE = 0.128
RMSE = 0.158
Mean Bias Error = 0.014
Mean Absolute Percentage Error = 0.046
Error Standard Deviation = 0.157
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Test set
Set size = 180
R2 = 0.935
MAE = 0.123
RMSE = 0.156
Mean Bias Error = 0.003
Mean Absolute Percentage Error = 0.043
Error Standard Deviation = 0.156
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OUTLIERS (TEST SET)
