Table 1.

Comparing the ABF-CatBoost method’s classification accuracy to that of existing ML techniques

Method	Accuracy (%)
RF [47]	95.8
SVM [47]	93.2
KNN [48]	91.11
ANN [48]	86.71
ABF-CatBoost [Proposed]	98.6