Table 2.

Analysis of Metrics [5].

Optimization Learning Rate	Accuracy	F1-Score	AUC	Precision	Recall	Error Rate
Adam_1e-2	0.944	0.928	0.968	0.897	0.961	0.056
Adam_1e-3	0.922	0.902	0.95	0.869	0.937	0.077
SGD_1e-2	0.964	0.954	0.974	0.926	0.984	0.036
SGD_1e-3	0.952	0.939	0.972	0.912	0.968	0.048
Adagrad_1e-2	0.934	0.917	0.97	0.878	0.961	0.066
Adagrad_1e-3	0.925	0.907	0.968	0.865	0.953	0.075
Proposed Model	0.99	0.99	0.99	0.99	0.99	0.01