Table 4 Comparison between the outcomes of BBFS feature selection algorithm and several feature selection algorithms.
From: Improved CKD classification based on explainable artificial intelligence with extra trees and BBFS
Models | Accuracy | Sensitivity | Specificity | F-score | AUC |
|---|---|---|---|---|---|
XAI-CKD-BBFS | 99.9% | 99.9% | 99.9% | 99.9% | 1.000 |
XAI-CKD-BWOA | 98.01% | 98.01% | 98.02% | 98.01% | 0.984 |
XAI-CKD-BPSO | 97.75% | 97.75% | 97.75% | 97.76% | 0.979 |
XAI-CKD-BGWO | 95.84% | 95.85% | 95.84% | 95.84% | 0.957 |