18-Mar-2024, 15:50:06
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Traditional ML algorithm Performance
Dataset Size = 400
c term coefficient = 0.023902804011580906
bv term coefficient = 4.625334247394835
ang term coefficient = 0.09497361286391248
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Training set
Set size = 240
R2 = 0.919
MAE = 0.137
RMSE = 0.175
Mean Bias Error = 0.000
Mean Absolute Percentage Error = 0.048
Error Standard Deviation = 0.175
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Validation set
Set size = 80
R2 = 0.931
MAE = 0.139
RMSE = 0.174
Mean Bias Error = 0.008
Mean Absolute Percentage Error = 0.050
Error Standard Deviation = 0.174
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Test set
Set size = 80
R2 = 0.940
MAE = 0.127
RMSE = 0.162
Mean Bias Error = 0.018
Mean Absolute Percentage Error = 0.045
Error Standard Deviation = 0.161
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OUTLIERS (TEST SET)
