Table 3 RF regression model evaluation on the test dataset with attribute selection.

From: Enhancing random forest model prediction of gas holdup in internal draft airlift loop contactors with genetic algorithms tuning and interpretability

Features selected

R2

MAE

6

0.9216

0.0075

7

0.9255

0.0073

8

0.9447

0.0063

9

0.9469

0.0064

10 (all)

0.9542

0.0059