Table 5.

Classification accuracy using originally extracted deep features for ISIC2018 dataset.

Classifiers	Performance Measures
	Accuracy (%)	Precision (%)	FDR (%)	Time (s)
MC-SVM	83.90	82.98	17.02	512.1129
F-KNN	81.40	81.16	18.84	404.2904
DT	82.56	81.86	18.14	396.5526
Naïve Bayes	83.50	82.90	17.10	576.3625
EBT	82.16	81.78	18.22	475.1108
ELM	85.96	85.52	14.48	286.1009