Table 7.

Dual_Pachi Data_B classification Result. The optimizers employed include Adam and SGD, Lr; ${10}^{-4}$ and ${10}^{-3}$, Loss function; Categorical_smooth_loss and categorical cross-entropy.

	Accuracy (%)	Sensitivity (%)	Specificity (%)	Precision (%)	F1 Score	AUC
Opt: Adam, Lr: ${\mathbf{10}}^{-\mathbf{4}}$, Lf: categorical_smooth_loss
Without Bl. 3	0.95111	0.92693	0.96355	0.92656	0.92635	0.94532
Dual_Pachi	0.96356	0.94526	0.97239	0.94721	0.94578	0.95859
Opt: Adam, Lr:${\mathbf{10}}^{-\mathbf{3}}$, Lf: categorical_smooth_loss
Without Bl. 3	0.968	0.95206	0.97582	0.95273	0.95236	0.96373
Dual_Pachi	0.97867	0.96786	0.984	0.96803	0.96787	0.976
Opt: Adam, Lr:${\mathbf{10}}^{-\mathbf{4}}$, Lf: categorical cross-entropy
Without Bl. 3	0.92356	0.88615	0.94285	0.89449	0.88529	0.91428
Dual_Pachi	0.96356	0.94466	0.97263	0.94825	0.94431	0.95895
Opt: Adam, Lr:${\mathbf{10}}^{-\mathbf{3}}$, Lf: categorical cross-entropy
Without Bl. 3	0.93067	0.89867	0.94839	0.90341	0.89684	0.92258
Dual_Pachi	0.96800	0.95203	0.97594	0.95234	0.95208	0.96391
Opt: SGD, Lr:${\mathbf{10}}^{-\mathbf{4}}$, Lf: categorical_smooth_loss
Without Bl. 3	0.92533	0.88855	0.94388	0.89242	0.88831	0.91581
Dual_Pachi	0.95822	0.93667	0.96869	0.93759	0.93631	0.95304
Opt: SGD, Lr:${\mathbf{10}}^{-\mathbf{3}}$, Lf: categorical_smooth_loss
Without Bl. 3	0.88000	0.82111	0.91016	0.82465	0.81777	0.86524
Dual_Pachi	0.91556	0.87352	0.93677	0.87937	0.86920	0.90516
Opt: SGD, Lr:${\mathbf{10}}^{-\mathbf{4}}$, Lf: categorical cross-entropy
Without Bl. 3	0.93422	0.90223	0.95093	0.90577	0.90115	0.92640
Dual_Pachi	0.95022	0.92666	0.96309	0.92807	0.92547	0.94464
Opt: SGD, Lr:${\mathbf{10}}^{-\mathbf{3}}$, Lf: categorical cross-entropy
Without Bl. 3	0.91822	0.87731	0.93854	0.87891	0.87610	0.90781
Dual_Pachi	0.91911	0.87253	0.93767	0.89032	0.87594	0.90651