Table 8.

Classification accuracy using selected features fusion approach for ISIC2018 dataset.

Classifiers	Performance Measures
	Accuracy (%)	Precision (%)	FDR (%)	Time (s)
MC-SVM	91.84	91.52	8.48	212.5546
F-KNN	90.60	89.90	10.10	170.2918
DT	92.56	92.16	7.84	163.5829
Naïve Bayes	92.80	92.40	7.60	204.5116
EBT	90.46	90.12	9.88	160.0342
ELM	94.36	94.08	5.92	132.1990