Explainable electroencephalography-based attention-deficit/hyperactivity disorder detection model with a combination of ternary pattern and twin wavelet transform

Table 3 Channel-wise classification performance based on k-nearest neighbors using 10-fold cross-validation, %

Channel	Acc	Sen	Spe	Channel	Acc	Sen	Spe
1	98.92	98.32	99.25	11	98.96	98.09	99.43
2	98.55	97.79	98.97	12	98.72	97.79	99.23
3	98.86	98.17	99.25	13	98.91	98.32	99.23
4	98.53	97.79	98.93	14	98.77	97.79	99.31
5	99.08	98.51	99.39	15	98.80	98.09	99.18
6	98.96	98.32	99.31	16	98.82	98.06	99.25
7	97.99	96.65	98.72	17	98.93	98.48	99.18
8	99.12	98.74	99.33	18	98.69	98.17	98.97
9	99.08	98.59	99.35	19	99.04	98.63	99.27
10	98.91	98.78	98.97	20	98.82	98.06	99.25

Acc: Accuracy the overall percentage of correctly classified samples (both true positives and true negatives) out of all test samples; Sen: Sensitivity (also called Recall or True Positive Rate) is the percentage of actual positive cases correctly identified by the classifier; Spe: Specificity (also called True Negative Rate), the percentage of actual negative cases correctly identified as negative.