An implementation of normal distribution based segmentation and entropy controlled features selection for skin lesion detection and classification

BMC Cancer

Table 7 Proposed features fusion and selection results on ISIC-MSK dataset

Method	Performance measures
	Sensitivity (%)	Precision (%)	Specificity (%)	FNR (%)	FPR	Accuracy (%)
Decision tree	92.95	93.1	94.30	6.9	0.07	93.1
Quadratic discriminant analysis	95.95	95.45	91.90	4.5	0.04	95.5
Quadratic SVM	96.25	96.10	95.60	3.8	0.03	96.2
Logistic regression	95.10	95.10	95.60	4.8	0.04	95.2
Naive bayes	92.80	93.30	95.60	6.9	0.07	93.1
Weighted KNN	95.10	95.10	95.60	4.8	0.04	95.2
Ensemble boosted tree	95.10	95.10	95.60	4.80	0.04	95.2
Ensemble subspace discriminant	95.10	95.10	95.60	4.8	0.04	95.2
Cubic KNN	89.35	90.65	95.60	10.0	0.10	90.0
Proposed	96.60	97.0	98.30	2.8	0.01	97.2