Double-Criteria Active Learning for Multiclass Brain-Computer Interfaces

Table 5

Average running time (s) for each learning algorithm.

Dataset	D-AL-ELM	AL-ELM	ELM-Entropy	PL-ELM
Liver	0.9141	0.7531	0.7719	0.7453
Diabetes	1.2031	1.0438	1.0060	0.9719
Wdbc	1.3484	1.2500	1.2828	1.2234
Twonorm	7.9813	5.3047	5.5875	4.8844
Wine	0.5391	0.4625	0.4625	0.4391
Hayes-Roth	0.5109	0.4516	0.4594	0.4203
Iris	0.5250	0.4469	0.4856	0.4313
Segment	3.6578	3.3906	3312	3.3250
Letter	121.8047	115.5203	123.0641	111.4641