Fig. 4From: Accurate and efficient target prediction using a potency-sensitive influence-relevance voterSimulated target-prediction experiment: AUC scores as dataset size grows. Average AUC (y axis) plotted as a function of the minimum number of training molecules (x axis). Each method’s ability to separate known actives from a background set of 9000 random ChEMBL molecules, assumed to be inactive, is measured. Training sets are not augmentedBack to article page