Table 3.

DREAM 5 dataset benchmark.

GRN inference method	Net1		Net2b		Net3b		Score
	AUROC	AUPR	AUROC	AUPR	AUROC	AUPR
KBoost (2020)	0.88	0.43	0.57	0.04	0.51	0.02	> 300
GRNBoost2 (2019)	0.82	0.33	0.63	0.10	0.52	0.02	54.30
PLSNET (2016)	0.85	0.24	0.57	0.06	0.51	0.02	37.03
ENNET (2013)	0.85	0.44	0.61	0.05	0.51	0.02	> 300
TIGRESS (2012)	0.75	0.29	0.58	0.06	0.51	0.02	22.63
GENIE3 (2010)a	0.82	0.29	0.62	0.09	0.52	0.02	40.74

^aWinner of the DREAM 5 challenge which included 351 algorithms.

^bIn the original DREAM 5 dataset, Net 2 and 3 are labeled 3 and 4.

The best performance in each column is in bold.