18-Mar-2024, 16:29:25
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Traditional ML algorithm Performance
Dataset Size = 800
c term coefficient = 0.023984665832640754
bv term coefficient = 4.4829108003549125
ang term coefficient = 0.10056498820894726
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Training set
Set size = 480
R2 = 0.928
MAE = 0.130
RMSE = 0.164
Mean Bias Error = -0.000
Mean Absolute Percentage Error = 0.045
Error Standard Deviation = 0.164
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Validation set
Set size = 160
R2 = 0.930
MAE = 0.135
RMSE = 0.180
Mean Bias Error = 0.005
Mean Absolute Percentage Error = 0.048
Error Standard Deviation = 0.180
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Test set
Set size = 160
R2 = 0.931
MAE = 0.129
RMSE = 0.158
Mean Bias Error = 0.027
Mean Absolute Percentage Error = 0.046
Error Standard Deviation = 0.155
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OUTLIERS (TEST SET)
