18-Mar-2024, 16:29:25
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Traditional ML algorithm Performance
Dataset Size = 800
c term coefficient = 0.02699020261263682
bv term coefficient = 4.13196548520141
ang term coefficient = 0.10288917818145168
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Training set
Set size = 480
R2 = 0.936
MAE = 0.127
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 = 0.902
MAE = 0.140
RMSE = 0.184
Mean Bias Error = -0.020
Mean Absolute Percentage Error = 0.046
Error Standard Deviation = 0.183
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Test set
Set size = 160
R2 = 0.931
MAE = 0.128
RMSE = 0.157
Mean Bias Error = 0.023
Mean Absolute Percentage Error = 0.045
Error Standard Deviation = 0.156
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OUTLIERS (TEST SET)
