Table 4.

Summary of the extracted features for second analysis with training and validation sets for time frequency data showing feature number, accuracy in training set, accuracy in validation set, corresponding p-value for permutation test and accuracy without selected features.

Number of features	Accuracy in training set	Accuracy in validation set	% in which the prediction is better than randomly assigned labels	Accuracy without selected features
1	75%	67%	98.3%	50%
2	81%	70%	99.9%	50%
3	83%	70%	97.7%	50%
4	84%	70%	95.2%	50%
5	86%	70%	95.7%	50%
6	86%	70%	99.7%	50%
7	88%	69%	98.8%	50%
8	89%	69%	98.7%	50%
9	90%	69%	99.9%	50%
10	90%	69%	99.7%	50%
11	90%	69%	98.8%	50%
12	90%	70%	96.2%	50%
13	90%	69%	98.3%	50%
14	90%	70%	99.8 5	50%
15	90%	70%	100%	50%
16	90%	70%	99.9%	50%
17	90%	70%	99.7%	50%
18	90%	70%	100%	50%
19	90%	70%	100%	50%
20	90%	70%	100%	50%

All accuracy values are cumulative.