18-Mar-2024, 15:38:25
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Traditional ML algorithm Performance
Dataset Size = 100
c term coefficient = 0.02450255731463667
bv term coefficient = 4.414273188890232
ang term coefficient = 0.08632695007518337
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Training set
Set size = 60
R2 = 0.902
MAE = 0.128
RMSE = 0.174
Mean Bias Error = 0.000
Mean Absolute Percentage Error = 0.043
Error Standard Deviation = 0.174
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Validation set
Set size = 20
R2 = 0.891
MAE = 0.107
RMSE = 0.143
Mean Bias Error = 0.030
Mean Absolute Percentage Error = 0.037
Error Standard Deviation = 0.140
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Test set
Set size = 20
R2 = 0.829
MAE = 0.132
RMSE = 0.175
Mean Bias Error = 0.004
Mean Absolute Percentage Error = 0.043
Error Standard Deviation = 0.175
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OUTLIERS (TEST SET)
