Ontology highlight
ABSTRACT:
SUBMITTER: Brown JB
PROVIDER: S-EPMC5838539 | biostudies-literature | 2018 Jan
REPOSITORIES: biostudies-literature
Molecular modeling frequently constructs classification models for the prediction of two-class entities, such as compound bio(in)activity, chemical property (non)existence, protein (non)interaction, and so forth. The models are evaluated using well known metrics such as accuracy or true positive rates. However, these frequently used metrics applied to retrospective and/or artificially generated prediction datasets can potentially overestimate true performance in actual prospective experiments. H ...[more]