Table 4.

Classification Performance of Dual_Pachi on Data_A using the Adam Optimizer. The Analyzed hyperparameter includes; learning rate (Lr): ${10}^{-4}$ and ${10}^{-3}$, loss function (Lf); 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	0.95819	0.91672	0.97106	0.92882	0.92002	0.94211
Dual_Pachi	0.96656	0.93315	0.97774	0.93905	0.93389	0.95547
Opt: Adam, Lr:${\mathbf{10}}^{-\mathbf{3}}$, Lf: categorical_smooth_loss
Without Bl. 3	0.9097	0.82806	0.94174	0.82548	0.81511	0.88349
Dual_Pachi	0.95318	0.90794	0.96911	0.90699	0.90518	0.93822
Opt: Adam, Lr:${\mathbf{10}}^{-\mathbf{3}}$, Lf: categorical cross-entropy
Without Bl. 3	0.95485	0.91232	0.96878	0.92109	0.9132	0.93756
Dual_Pachi	0.95987	0.91747	0.97255	0.93502	0.92233	0.9451