18-Mar-2024, 15:41:10
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Traditional ML algorithm Performance
Dataset Size = 200
c term coefficient = 0.02134630556308599
bv term coefficient = 5.799694084212431
ang term coefficient = 0.07357187987269914
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Training set
Set size = 120
R2 = 0.903
MAE = 0.131
RMSE = 0.171
Mean Bias Error = -0.000
Mean Absolute Percentage Error = 0.045
Error Standard Deviation = 0.171
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Validation set
Set size = 40
R2 = 0.923
MAE = 0.150
RMSE = 0.195
Mean Bias Error = -0.002
Mean Absolute Percentage Error = 0.072
Error Standard Deviation = 0.195
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Test set
Set size = 40
R2 = 0.911
MAE = 0.134
RMSE = 0.172
Mean Bias Error = 0.048
Mean Absolute Percentage Error = 0.046
Error Standard Deviation = 0.165
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OUTLIERS (TEST SET)
