Table 2.

Classification accuracy using HWOA based feature selection for HAM10000 dataset.

Classifiers	Performance Measures
	Accuracy (%)	Precision (%)	FDR (%)	Time (s)
MC-SVM	85.13	84.76	15.24	216.0492
F-KNN	81.06	80.60	19.40	204.9106
DT	79.94	79.62	20.38	196.9946
Naïve Bayes	82.69	82.13	17.87	278.5543
EBT	83.58	82.96	17.04	201.5436
ELM	85.10	84.86	15.14	147.6329