18-Mar-2024, 15:55:49
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Traditional ML algorithm Performance
Dataset Size = 500
c term coefficient = 0.02311716305397326
bv term coefficient = 4.568545665185498
ang term coefficient = 0.09684872985323413
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Training set
Set size = 300
R2 = 0.926
MAE = 0.139
RMSE = 0.176
Mean Bias Error = -0.000
Mean Absolute Percentage Error = 0.049
Error Standard Deviation = 0.176
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Validation set
Set size = 100
R2 = 0.938
MAE = 0.118
RMSE = 0.153
Mean Bias Error = 0.016
Mean Absolute Percentage Error = 0.042
Error Standard Deviation = 0.153
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Test set
Set size = 100
R2 = 0.937
MAE = 0.126
RMSE = 0.159
Mean Bias Error = 0.026
Mean Absolute Percentage Error = 0.044
Error Standard Deviation = 0.157
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OUTLIERS (TEST SET)
