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. 2022 Apr 12;2022:2890535. doi: 10.1155/2022/2890535

Table 3.

Accuracy of different ensemble learning methods at different scales under pruning.

Scale 20 Scale 30 Scale 40 Scale 50
C4.5 86.654 98.644 95.543 97.864
Bagging+C4.5 84.865 98.432 98.644 98.315
Rotation Forest+C4.5 94.543 97.754 98.463 97.564
MultiBoostAB+C4.5 93.643 98.643 98.864 94.764
AdaboostM1+C4.5 94.532 93.754 98.342 96.574