18-Mar-2024, 15:44:53
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Traditional ML algorithm Performance
Dataset Size = 300
c term coefficient = 0.022747525396441287
bv term coefficient = 4.441318619256087
ang term coefficient = 0.10323276033588402
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Training set
Set size = 180
R2 = 0.923
MAE = 0.140
RMSE = 0.183
Mean Bias Error = -0.000
Mean Absolute Percentage Error = 0.047
Error Standard Deviation = 0.183
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Validation set
Set size = 60
R2 = 0.909
MAE = 0.128
RMSE = 0.166
Mean Bias Error = 0.038
Mean Absolute Percentage Error = 0.045
Error Standard Deviation = 0.162
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Test set
Set size = 60
R2 = 0.922
MAE = 0.136
RMSE = 0.179
Mean Bias Error = 0.032
Mean Absolute Percentage Error = 0.049
Error Standard Deviation = 0.176
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OUTLIERS (TEST SET)
