Table 4 Statistical assessment of the developed models.

From: Modeling interfacial tension of surfactant–hydrocarbon systems using robust tree-based machine learning algorithms

 

GBRT model

ET model

DT model

Train

SD

0.041

0.065

0.058

RMSE

0.96

1.223

1.416

APRE

−0.29

−1.32

−0.33

AAPRE

2.47

3.17

3.53

R2

0.9957

0.9945

0.9906

Test

SD

0.053

0.074

0.100

RMSE

1.628

1.769

2.268

APRE

−1.14

−1.28

−1.43

AAPRE

3.63

4.89

6.46

R2

0.9852

0.9827

0.9713

Total

SD

0.044

0.067

0.069

RMSE

1.126

1.278

1.623

APRE

−0.46

−1.32

−0.55

AAPRE

2.71

3.52

4.12

R2

0.9939

0.9925

0.9873

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