18-Mar-2024, 15:41:10
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Traditional ML algorithm Performance
Dataset Size = 200
c term coefficient = 0.026073149337638754
bv term coefficient = 4.237180959596354
ang term coefficient = 0.09075210046009376
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Training set
Set size = 120
R2 = 0.936
MAE = 0.121
RMSE = 0.159
Mean Bias Error = -0.000
Mean Absolute Percentage Error = 0.044
Error Standard Deviation = 0.159
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Validation set
Set size = 40
R2 = 0.826
MAE = 0.147
RMSE = 0.198
Mean Bias Error = -0.065
Mean Absolute Percentage Error = 0.048
Error Standard Deviation = 0.187
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Test set
Set size = 40
R2 = 0.909
MAE = 0.135
RMSE = 0.174
Mean Bias Error = 0.026
Mean Absolute Percentage Error = 0.047
Error Standard Deviation = 0.172
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OUTLIERS (TEST SET)
