Table 2.

Results for the ensemble prediction of IVB effectors with 10-fold cross-validation tests

Classifiers	Modela	Votingb	Sn	Sp	Acc	MCC
1. AAC 2. DPC 3. PSSM 4. PSSM_AC	1	—	0.707	0.933	0.884	0.651
	2	—	0.658	0.928	0.870	0.603
	3	—	0.903	0.971	0.956	0.871
	4	—	0.839	0.959	0.933	0.800
	{1,2,3}	2-in-3	0.832	0.990	0.956	0.867
	{1,2,4}	2-in-3	0.816	0.984	0.948	0.842
	{1,3,4}	2-in-3	0.916	0.996	0.979	0.936
	{2,3,4}	2-in-3	0.894	0.994	0.972	0.917
	{1,2,3,4}	3-in-4	0.774	0.977	0.933	0.796

^aEach term in this column represents the combination form of different classifiers (e.g. {1,2,3} means the ensemble of number 1, 2 and 3 classifiers in the first column).

^bThe 2-in-3 voting scheme was adopted for voting on three classifiers and the 3-in-4 voting scheme was adopted for voting on four classifiers. The highest value of each measure is shown in bold.