Fig. 6From: PDAUG: a Galaxy based toolset for peptide library analysis, visualization, and machine learning modelingAssessment of the ML algorithms trained on four descriptor sets. Different performance measures for accuracy, precision, recall, F1 score and mean AUC were calculated for six different algorithms with and without z-scaling normalization. Results suggest that the models trained on the word vector descriptors perform superior to the models trained on other descriptorsBack to article page