18-Mar-2024, 15:50:06
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Traditional ML algorithm Performance
Dataset Size = 400
c term coefficient = 0.023469409516679033
bv term coefficient = 4.562032997988417
ang term coefficient = 0.0990031314938663
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Training set
Set size = 240
R2 = 0.927
MAE = 0.136
RMSE = 0.177
Mean Bias Error = 0.000
Mean Absolute Percentage Error = 0.048
Error Standard Deviation = 0.177
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Validation set
Set size = 80
R2 = 0.939
MAE = 0.128
RMSE = 0.164
Mean Bias Error = 0.017
Mean Absolute Percentage Error = 0.045
Error Standard Deviation = 0.163
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Test set
Set size = 80
R2 = 0.900
MAE = 0.139
RMSE = 0.171
Mean Bias Error = 0.012
Mean Absolute Percentage Error = 0.048
Error Standard Deviation = 0.170
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OUTLIERS (TEST SET)
