Table 8.

Results for individual extracted set of features using ISIC-MSK dataset

Classifier	Selected features			Performance measures
	Color	HOG	Harlick	Sensitivity %	Precision %	Specificity	FNR %	FPR	Accuracy %
DT	✓			89.4	89.65	0.919	10.3	0.105	89.7
		✓		92.25	93.10	0.944	6.9	0.06	93.1
			✓	80.95	82.15	0.888	18.3	0.18	81.7
QDA	✓			86.05	86.05	0.875	13.8	0.13	86.2
		✓		94.30	93.85	0.894	6.2	0.05	93.8
			✓	70.73	73.25	0.769	26.6	0.26	73.4
Q-SVM	✓			95.6	95.75	0.956	4.1	0.03	95.9
		✓		95.5	95.46	0.956	4.5	0.04	95.5
			✓	82.05	82.3	0.856	17.6	0.17	82.4
LR	✓			92.05	92.7	0.956	7.6	0.07	92.4
		✓		95.1	95.1	0.956	4.8	0.04	95.2
			✓	81.45	82.25	0.875	17.9	0.18	82.1
N-B	✓			90.9	91.8	0.956	8.6	0.08	91.4
		✓		93.95	94.2	0.956	5.9	0.05	94.1
			✓	82.2	83.95	0.913	16.9	0.03	83.1
W-KNN	✓			90.9	91.9	0.956	8.6	0.08	91.4
		✓		93.95	94.2	0.956	5.9	0.05	94.1
			✓	81.15	84.2	0.938	17.6	0.08	82.4
EBT	✓			91.45	91.85	0.994	8.3	0.08	91.7
		✓		93.35	93.4	0.944	6.6	0.06	93.4
			✓	81.45	82.25	0.875	17.9	0.18	82.1
ESD	✓			86.95	88.05	0.931	12.4	0.125	87.6
		✓		95.5	95.45	0.956	4.5	0.04	95.5
			✓	78.0	79.5	0.875	21.0	0.21	79.0
Cubic KNN	✓			93.25	93.5	0.95	6.6	0.06	93.4
		✓		93.15	92.7	0.973	7.2	0.07	92.8
			✓	76.6	76.6	0.788	23.1	0.23	76.9
Proposed	✓			95.85	95.85	0.963	4.1	0.03	95.9
		✓		97.1	96.75	0.963	3.8	0.02	96.2
			✓	82.55	84.7	0.913	16.6	0.13	83.4