Skip to main content
Fig. 4 | Journal of Cheminformatics

Fig. 4

From: Off-targetP ML: an open source machine learning framework for off-target panel safety assessment of small molecules

Fig. 4

Lollipop chart representing the balanced accuracy of each target model for each method. Each subplot represents one of the methods used to build the models (Neural networks, Auto-Sklearn, AutoGluon, H2O and Random Forest). The gene names/abbreviations of each target model are represented on the x-axis and the corresponding balanced accuracy values on the y axis. Lines are color coded according to the targets’ hit percent category and the numerical values of the hit percent are indicated inside the circles

Back to article page