Table 1 Server prediction results improved by 3D-Jury. 3J_1,A– the default on-line version of 3D-Jury, uses one model of the default servers [7]; N _s – number of targets better predicted (in terms of MaxSub score) by the server; N _j – number of targets better predictedby 3J_1,A, in parentheses: number of improvable targets, i.e. those with a suboptimal choice of the first model; Q_%, $Q_{\%}^{max}$ – see Methods: Measures for comparing model selection methods Servers are ordered by N _j -N _s descending, three servers with ∑MaxS _s = 0 are not shown. Servers not improved by the re-ranking of models (N _s > N _j ) are shown in italics. 3J_1,Aselects better models on the whole for 50 servers out of the 56 shown, considering either Q_% or the number of targets. Re-ranking of models by 3D-Jury does not improve the performance of 6 servers.

N _j

$Q_{\%}(Q_{\%}^{max})$

N _j

$Q_{\%}(Q_{\%}^{max})$