Table 3.

Classification accuracy of 120 EEG samples (10 samples per participant) from six D⁺ participants at T1 (class 1) and T2 (class 2), performed using four EEG frequency sub-bands (modelled separately). The diagonals on the confusion tables represent the correctly classified samples. Highest classification accuracy is seen for alpha (91%) and beta (85%).

EEG frequency sub-bands			Accuracy	F-score
Delta
EEG Data Classes	Delta (T1)	Delta (T2)	0.75	75%
Delta (T1)	36	24
Delta (T2)	5	55
Theta			Accuracy
EEG Data Classes	Theta (T1)	Theta (T2)	0.81	81%
Delta (T1)	42	18
Delta (T2)	4	56
Alpha			Accuracy
EEG Data Classes	Alpha (T1)	Alpha (T2)	0.91	90%
Delta (T1)	51	11
Delta (T2)	1	59
Beta			Accuracy
EEG Data Classes	Beta (T1)	Beta (T2)	0.85	85%
Delta (T1)	44	16
Delta (T2)	1	59