18-Mar-2024, 15:55:49
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Traditional ML algorithm Performance
Dataset Size = 500
c term coefficient = 0.026200027554786787
bv term coefficient = 4.397907563042391
ang term coefficient = 0.09472142236501895
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Training set
Set size = 300
R2 = 0.940
MAE = 0.125
RMSE = 0.162
Mean Bias Error = 0.000
Mean Absolute Percentage Error = 0.045
Error Standard Deviation = 0.162
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Validation set
Set size = 100
R2 = 0.911
MAE = 0.144
RMSE = 0.191
Mean Bias Error = -0.040
Mean Absolute Percentage Error = 0.049
Error Standard Deviation = 0.186
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Test set
Set size = 100
R2 = 0.917
MAE = 0.132
RMSE = 0.162
Mean Bias Error = -0.008
Mean Absolute Percentage Error = 0.047
Error Standard Deviation = 0.162
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OUTLIERS (TEST SET)
