18-Mar-2024, 16:02:47
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Traditional ML algorithm Performance
Dataset Size = 600
c term coefficient = 0.02794583319528408
bv term coefficient = 4.033085949757279
ang term coefficient = 0.09971133387928874
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Training set
Set size = 360
R2 = 0.941
MAE = 0.126
RMSE = 0.161
Mean Bias Error = 0.000
Mean Absolute Percentage Error = 0.045
Error Standard Deviation = 0.161
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Validation set
Set size = 120
R2 = 0.904
MAE = 0.148
RMSE = 0.193
Mean Bias Error = -0.035
Mean Absolute Percentage Error = 0.049
Error Standard Deviation = 0.189
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Test set
Set size = 120
R2 = 0.942
MAE = 0.123
RMSE = 0.156
Mean Bias Error = 0.013
Mean Absolute Percentage Error = 0.043
Error Standard Deviation = 0.155
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OUTLIERS (TEST SET)
