Table 4.

Results of classification incorporating Shufflenet deep features applied on the HAM10000 dataset.

Classifiers	Accuracy (%)	Recall (%)	Precision (%)	F1 Score	FNR	Time (sec)
Narrow NN	96.5	96.82	96.75	96.68	3.18	197.3
Medium NN	97.3	97.55	97.51	97.52	2.45	116.01
Wide NN	97.6	97.78	97.72	97.74	2.22	130.81
Bilayered NN	96.6	96.84	96.81	96.82	3.16	284.3
Quadratic SVM	98.1	98.3	98.34	98.3	1.7	546.39
Cubic SVM	98.5	98.62	98.64	98.62	1.38	585.07
Coarse Gaussian SVM	96.5	96.71	96.77	96.72	3.29	986.83
Fine KNN	98.9	99.15	99	99.06	0.85	920.22
Ensemble Bagged Tree	95.0	95.13	95.34	95.32	4.87	209.95
Fine Tree	69.3	68.62	71.21	69.92	31.38	63.97

Bold show the significant value.