Skip to main content
Fig. 4 | BioData Mining

Fig. 4

From: Finding semantic patterns in omics data using concept rule learning with an ontology-based refinement operator

Fig. 4

Total run time in logarithmic scale scale depending on the number of induced rules for three datasets (DISC, DOT, and m2801). ACC, AUC, and F1-score were used for evaluating the quality of rules and three feature selection methods (FS_atLeastOne, FS_onlySig, and FS_sigAtLeastOne) were applied before rule induction. Dashed line represents sem1R, full line represents exhaustive refinement

Back to article page
\