18-Mar-2024, 15:41:11
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Traditional ML algorithm Performance
Dataset Size = 200
c term coefficient = 0.02153914048703811
bv term coefficient = 6.061273320211549
ang term coefficient = 0.07309293934642695
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Training set
Set size = 120
R2 = 0.911
MAE = 0.132
RMSE = 0.173
Mean Bias Error = 0.000
Mean Absolute Percentage Error = 0.044
Error Standard Deviation = 0.173
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Validation set
Set size = 40
R2 = 0.910
MAE = 0.157
RMSE = 0.211
Mean Bias Error = -0.015
Mean Absolute Percentage Error = 0.079
Error Standard Deviation = 0.210
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Test set
Set size = 40
R2 = 0.878
MAE = 0.126
RMSE = 0.160
Mean Bias Error = 0.024
Mean Absolute Percentage Error = 0.043
Error Standard Deviation = 0.159
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OUTLIERS (TEST SET)
