19-Mar-2024, 11:22:47
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Traditional ML algorithm Performance
Dataset Size = 217
c term coefficient = 0.022281899045205677
bv term coefficient = -0.5680465054578885
ang term coefficient = 0.1547664044762132
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Training set
Set size = 130
R2 = 0.823
MAE = 0.098
RMSE = 0.142
Mean Bias Error = 0.000
Mean Absolute Percentage Error = 0.041
Error Standard Deviation = 0.142
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Validation set
Set size = 44
R2 = 0.519
MAE = 0.096
RMSE = 0.127
Mean Bias Error = -0.009
Mean Absolute Percentage Error = 0.044
Error Standard Deviation = 0.127
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Test set
Set size = 44
R2 = 0.771
MAE = 0.080
RMSE = 0.109
Mean Bias Error = -0.006
Mean Absolute Percentage Error = 0.035
Error Standard Deviation = 0.109
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OUTLIERS (TEST SET)
