18-Mar-2024, 16:14:12
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Traditional ML algorithm Performance
Dataset Size = 700
c term coefficient = 0.023256256643306977
bv term coefficient = 4.7582820644642645
ang term coefficient = 0.0942937401164784
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Training set
Set size = 420
R2 = 0.925
MAE = 0.136
RMSE = 0.174
Mean Bias Error = -0.000
Mean Absolute Percentage Error = 0.048
Error Standard Deviation = 0.174
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Validation set
Set size = 140
R2 = 0.931
MAE = 0.133
RMSE = 0.163
Mean Bias Error = 0.008
Mean Absolute Percentage Error = 0.049
Error Standard Deviation = 0.163
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Test set
Set size = 140
R2 = 0.943
MAE = 0.119
RMSE = 0.155
Mean Bias Error = -0.005
Mean Absolute Percentage Error = 0.043
Error Standard Deviation = 0.155
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OUTLIERS (TEST SET)
