22-Mar-2024, 14:09:28
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Traditional ML algorithm Performance
Dataset Size = 922
c term coefficient = 0.026508577676229637
bv term coefficient = 4.287195905303428
ang term coefficient = 0.09987463160156902
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Training set
Set size = 639
R2 = 0.935
MAE = 0.126
RMSE = 0.162
Mean Bias Error = -0.000
Mean Absolute Percentage Error = 0.044
Error Standard Deviation = 0.162
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Validation set
Set size = 213
R2 = 0.924
MAE = 0.129
RMSE = 0.166
Mean Bias Error = 0.001
Mean Absolute Percentage Error = 0.044
Error Standard Deviation = 0.166
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Test set
Set size = 213
R2 = 0.364
MAE = 0.245
RMSE = 0.289
Mean Bias Error = -0.118
Mean Absolute Percentage Error = 0.242
Error Standard Deviation = 0.264
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OUTLIERS (TEST SET)
