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Journal of Big Data

Table 15 From Yang and Bath [26], “System performance on the test data using different ensemble strategies”

From: CatBoost for big data: an interdisciplinary review

E1

E2

E3

E4

E5

E6

0.9332

0.9331

0.9325

0.9322

0.9332

0.9333

  1. 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
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