SN	Symbols	Explanation
1	akiec	Actinic keratoses and intraepithelial carcinoma
2	bcc	Basal cell carcinoma
3	bkl	Benign keratosis-like lesions
4	df	Dermatofibroma
5	mel	Melanoma
6	nv	Melanocytic nevi
7	vasc	Vascular lesions
8	$\eta$	Accuracy
9	R	Recall
10	P	Precision
11	$\mathcal{F}$	F1-Score
12	M	Total models that were used in the system
13	D	Total datasets that were used in the system
14	m	Current model that is being studied
15	d	Current dataset that is being studied
16	${ \mathbf{p}}_m$	Denotes the mth model’s prediction score containing the prediction of each class
17	${\mathbf{o}}_m$	Denotes the mth model’s attention output score containing the prediction of each class
18	${\mathrm{w}}_m$	Denotes the mth model’s attention weight
19	C	Denotes the number of classes in the multiclass framework
20	${\mathrm{p}}_{aeEBDL}$	Is the final attention-enabled and ensemble-based model’s output
21	$\overline{\mathsf{\eta }}\left(\mathrm{m}, \mathrm{K}10\right)$	Accuracy of model “m” over all D datasets over the K10 protocol
22	$\overline{\mathsf{\eta }}\left(\mathrm{d}, \mathrm{K}10\right)$	Accuracy achieved over the dataset “d” over all M Models over the K10 protocol
23	${\overline{\mathsf{\eta }}}_{\mathrm{sys}}$	Overall system accuracy over M models and D datasets
24	$\overline{\mathsf{\alpha }}\left(\mathrm{m}, \mathrm{K}10\right)$	AUC of model m summarized over all D datasets
25	$\overline{\mathsf{\alpha }}\left(\mathrm{d}, \mathrm{K}10\right)$	AUC achieved over dataset d over all M Models
26	${\overline{\mathsf{\alpha }}}_{\mathrm{sys}}$	Overall system AUC over M models and D datasets
27	$\sigma$	Standard Deviation of the system
28	$\overline{\mathrm{R}}$	Mean Reliability Index of the system
29	${\overline{\mathrm{M}}}_{class}$	Mean Misclassification value
30	${\mathrm{p}}_i$	Mean of Misclassification of ith image over all AI models
31	$I$	Total number of images for misclassification probability