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Table 2 Performance evaluators of the ADHD and TD classification models

From: The utility of wearable electroencephalography combined with behavioral measures to establish a practical multi-domain model for facilitating the diagnosis of young children with attention-deficit/hyperactivity disorder

Model #

Precision

Recall

F1-Score

Accuracy

1. Decision Tree

0.912

0.909

0.909

0.909

2. Random Forest

0.923

0.922

0.922

0.922

3. Bi-Direct. LSTM

0.950

0.940

0.950

0.950

Ensemble Model

   

0.974