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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 datasetTest dataset
\(R^{2}\)RMSE (nm)\(R_{pred}^{2}\)RMSE (nm)
RF0.96622.250.90434.42
ExtraTrees0.99111.150.90833.71
AdaBoost0.98116.220.90434.45
GBM0.98812.920.90534.26