Table 4.

Classification accuracy using selected features fusion approach for HAM10000 dataset.

Classifiers	Performance Measures
	Accuracy (%)	Precision (%)	FDR (%)	Time (s)
MC-SVM	89.56	89.14	10.86	150.5042
F-KNN	88.04	87.68	12.32	141.5036
DT	87.00	86.92	13.08	154.4432
Naïve Bayes	89.94	89.54	10.46	163.3940
EBT	91.42	91.10	8.90	86.1152
ELM	93.40	93.10	6.90	69.2036