18-Mar-2024, 15:41:11
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Traditional ML algorithm Performance
Dataset Size = 200
c term coefficient = 0.022681648068661974
bv term coefficient = 5.75942834553342
ang term coefficient = 0.0776472433379336
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Training set
Set size = 120
R2 = 0.883
MAE = 0.133
RMSE = 0.173
Mean Bias Error = -0.000
Mean Absolute Percentage Error = 0.045
Error Standard Deviation = 0.173
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Validation set
Set size = 40
R2 = 0.944
MAE = 0.120
RMSE = 0.160
Mean Bias Error = -0.003
Mean Absolute Percentage Error = 0.042
Error Standard Deviation = 0.160
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Test set
Set size = 40
R2 = 0.921
MAE = 0.150
RMSE = 0.198
Mean Bias Error = -0.015
Mean Absolute Percentage Error = 0.074
Error Standard Deviation = 0.197
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OUTLIERS (TEST SET)
