A Computer-Aided Diagnosis System Using Deep Learning for Multiclass Skin Lesion Classification

Table 4

Classification results using proposed feature selection algorithm on augmented HAM10000 dataset.

Classifier (ESD)	Recall rate (%)	Precision rate (%)	FNR (%)	AUC	Accuracy (%)	Time (sec)	F1-score (%)
500	78.42	79.28	21.57	0.954	78.3	102.4	78.85
1000	64.85	66.71	35.14	0.902	65.1	132.5	65.77
1500	87.14	87.57	12.85	0.978	86.8	406.0	87.35
2000	83.57	84.42	16.42	0.97	83.3	748.4	83.99
2500	89.71	90.14	10.28	0.984	89.5	1293.5	89.92
3000	91.85	92.00	8.142	0.99	91.7	1367.6	91.92

The bold value represents best ones.