18-Mar-2024, 15:41:10
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Traditional ML algorithm Performance
Dataset Size = 200
c term coefficient = 0.0224970110293987
bv term coefficient = 4.642127923379979
ang term coefficient = 0.09449700862147481
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Training set
Set size = 120
R2 = 0.928
MAE = 0.131
RMSE = 0.170
Mean Bias Error = -0.000
Mean Absolute Percentage Error = 0.047
Error Standard Deviation = 0.170
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Validation set
Set size = 40
R2 = 0.873
MAE = 0.125
RMSE = 0.163
Mean Bias Error = 0.022
Mean Absolute Percentage Error = 0.043
Error Standard Deviation = 0.162
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Test set
Set size = 40
R2 = 0.900
MAE = 0.142
RMSE = 0.182
Mean Bias Error = 0.053
Mean Absolute Percentage Error = 0.050
Error Standard Deviation = 0.174
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OUTLIERS (TEST SET)
