Table 7 Performance analysis based on EEG database.

From: Early attention-deficit/hyperactivity disorder (ADHD) with NeuroDCT-ICA and rhinofish optimization (RFO) algorithm based optimized ADHD-AttentionNet

Approaches

Accuracy

Precision

Recall

Specificity

F1-Score

MCC

NPV

FPR

FNR

Att-AENet18

0.9583

0.9478

0.9695

0.9473

0.9585

0.9169

0.9692

0.0527

0.0305

SVM19

0.954

0.9457

0.9632

0.9448

0.9544

0.9081

0.9625

0.0552

0.0368

2D-CNN22

0.9491

0.9412

0.9576

0.9407

0.9494

0.8984

0.9572

0.0593

0.0424

FCNN23

0.9469

0.9411

0.9534

0.9405

0.9472

0.894

0.9529

0.0595

0.0466

Proposed

0.9789

0.9784

0.9794

0.9783

0.9789

0.9578

0.9794

0.0217

0.0206

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