Table 6.

Comparative evaluation of active learning selection methods in terms of accuracy (the best values are bold).

Method	Before Hyperparameter Optimization			After hyperparameter Optimization
	#Queries	Cost	Performance	#Queries	Cost	Performance
AUDI	121	121	0.431 ± 0.076	121	121	0.526 ± 0.048
QUIRE	121	121	0.508 ± 0.032	121	121	0.454 ± 0.068
MMC	73	122	0.476 ± 0.050	73	122	0.512 ± 0.050
Adaptive	61	122	0.514 ± 0.032	61	122	0.574 ± 0.020
Random	121	121	0.355 ± 0.114	109	121	0.499 ± 0.068