19-Mar-2024, 11:02:31
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Traditional ML algorithm Performance
Dataset Size = 1000
c term coefficient = 0.024251273499955622
bv term coefficient = 4.612118132430956
ang term coefficient = 0.09413329809571824
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Training set
Set size = 600
R2 = 0.925
MAE = 0.133
RMSE = 0.172
Mean Bias Error = 0.000
Mean Absolute Percentage Error = 0.046
Error Standard Deviation = 0.172
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Validation set
Set size = 200
R2 = 0.929
MAE = 0.128
RMSE = 0.158
Mean Bias Error = 0.015
Mean Absolute Percentage Error = 0.045
Error Standard Deviation = 0.157
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Test set
Set size = 200
R2 = 0.936
MAE = 0.126
RMSE = 0.159
Mean Bias Error = 0.002
Mean Absolute Percentage Error = 0.044
Error Standard Deviation = 0.159
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OUTLIERS (TEST SET)
