Correction: Novel comparison of evaluation metrics for gene ontology classifiers reveals drastic performance differences

There are several errors in Table 1. The values for the column rec in rows ic SimGIC2, ic2 SimGIC2, AJacc E, and ic2 Smin1 are incorrect. Please see the correct Table 1 here.

Table 1. Summary of results for best performing and widely-used metrics.

Here we show RC (Rank Correlation) and FP (False Positive) results for the best performing methods. We also show same results for some widely-used metrics. Good metrics should have a high RC score and low FP scores. Rec column shows our selected recommendations (See text for details). The five best results in each column are shown in bold. The five weakest results in each column are shown with underlined italics. Metrics that fail a given test are highlighted in red (see text for details). Note how methods in lower block show consistent weak performance either in RC or FP tests.

Top performing metrics
	Rank Correlation Results			False Positive Sets
Metric	UniProt	CAFA	Mouse	UniProt	CAFA	Mouse	rec	weakness
TC AUCROC	0.959	0.951	0.920	0.023	0.010	0.000	(*)	RC in mouse data
TC AUCPR	0.984	0.982	0.971	0.144	0.156	0.312	(*)	FPS in mouse data
ic SimGIC	0.960	0.963	0.969	0.168	0.164	0.108
ic SimGIC2	0.970	0.969	0.965	0.166	0.133	0.056	*
ic2 SimGIC2	0.979	0.978	0.974	0.190	0.156	0.065	(*)
Resnik E	0.966	0.959	0.945	0.034	0.064	0.065	(*)	RC in mouse data
Lin E	0.939	0.983	0.982	0.112	0.118	0.080	(*)
Lin F	0.856	0.979	0.978	0.096	0.100	0.058		very weak RC in Uniprot
Ajacc E	0.886	0.960	0.959	0.097	0.127	0.073		very weak RC in Uniprot
ic2 Smin1	0.986	0.985	0.983	0.247	0.221	0.124	(*)	Slightly weak in FPS
Previously used metrics with weaker performance
Fmax	0.983	0.982	0.981	0.367	0.318	0.229		weak in FPS tests
US AUCPR	0.985	0.983	0.977	0.453	0.388	0.292		weak in FPS tests
US AUCROC	0.945	0.932	0.901	1.000	1.000	0.878		worst metrics in FPS tests
GC AUCROC	0.947	0.937	0.921	1.000	1.000	0.879		worst metrics in FPS tests
Resnik A	0.922	0.808	0.772	0.000	0.000	0.000		weak in RC tests
Resnik D	0.892	0.811	0.801	0.428	0.333	0.339		weak in all tests
Lin A	0.758	0.840	0.880	0.000	0.000	0.000		worst metrics in RC test
Lin D	0.806	0.926	0.970	0.466	0.425	0.364		weak in all tests