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Table 2 The results of four different DT-based ensemble learning methods

From: Comparison and improvement of the predictability and interpretability with ensemble learning models in QSPR applications

 

Training dataset

Test dataset

\(R^{2}\)

RMSE (nm)

\(R_{pred}^{2}\)

RMSE (nm)

RF

0.966

22.25

0.904

34.42

ExtraTrees

0.991

11.15

0.908

33.71

AdaBoost

0.981

16.22

0.904

34.45

GBM

0.988

12.92

0.905

34.26