Table 15.

From Yang and Bath [26], “System performance on the test data using different ensemble strategies”

E1	E2	E3	E4	E5	E6
0.9332	0.9331	0.9325	0.9322	0.9332	0.9333

E1 is ensemble of K-CNN, RF and RGF; E2 is ensemble of K-CNN, RF and XGB; E3 is ensemble of K-CNN, RGF, XGB; E4 is ensemble of K-CNN, RGF and CatBoost; E5 is ensemble of K-CNN, RF, RGF and CatBoost; E6 is ensemble of K-CNN, RF, RGF and XGB; performance in terms of Normalized Gini Coefficient