18-Mar-2024, 15:50:05
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Traditional ML algorithm Performance
Dataset Size = 400
c term coefficient = 0.022944555331271092
bv term coefficient = 4.826578098942992
ang term coefficient = 0.09420384158297718
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Training set
Set size = 240
R2 = 0.929
MAE = 0.139
RMSE = 0.177
Mean Bias Error = 0.000
Mean Absolute Percentage Error = 0.049
Error Standard Deviation = 0.177
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Validation set
Set size = 80
R2 = 0.900
MAE = 0.140
RMSE = 0.171
Mean Bias Error = 0.016
Mean Absolute Percentage Error = 0.048
Error Standard Deviation = 0.170
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Test set
Set size = 80
R2 = 0.936
MAE = 0.124
RMSE = 0.161
Mean Bias Error = 0.030
Mean Absolute Percentage Error = 0.046
Error Standard Deviation = 0.158
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OUTLIERS (TEST SET)
