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. 2015 Dec 17;11(12):e1004639. doi: 10.1371/journal.pcbi.1004639

Fig 2. General accuracy distribution based on wAUC.

Fig 2

wAUC as assessment criterion of all programs on all datasets with hierarchical definition of binding sites from 3.5 to 6Å. wAUC is the weighted arithmetic mean of AUC and is considered as the criterion to assess the prediction accuracy of the predictors. It is plotted as rainbow colors from highest accuracy of red to lowest accuracy of blue. Each grid in the plot show the wAUC of a predictor (subtitle) on a certain data set (x-axis) assessed according to the binding sites defined by a certain distance cutoff (y-axis). For each subplot, DBP data sets and RBP data sets are separated by bold line. The last two data sets are mixed with DBP and RBP. RBscore_P627 is a non-redundant data set by removing cases of sequence identity >25%. All_P5114 is a mixture of all data sets.