18-Mar-2024, 16:14:12
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Traditional ML algorithm Performance
Dataset Size = 700
c term coefficient = 0.0239719095214348
bv term coefficient = 4.5838873388136685
ang term coefficient = 0.0930369835126033
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Training set
Set size = 420
R2 = 0.928
MAE = 0.133
RMSE = 0.166
Mean Bias Error = 0.000
Mean Absolute Percentage Error = 0.046
Error Standard Deviation = 0.166
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Validation set
Set size = 140
R2 = 0.922
MAE = 0.141
RMSE = 0.187
Mean Bias Error = -0.001
Mean Absolute Percentage Error = 0.050
Error Standard Deviation = 0.187
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Test set
Set size = 140
R2 = 0.943
MAE = 0.118
RMSE = 0.155
Mean Bias Error = -0.007
Mean Absolute Percentage Error = 0.042
Error Standard Deviation = 0.155
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OUTLIERS (TEST SET)
