title: Improving the practice of classifier performance assessment.
abstract: In this note we use examples from the literature to illustrate some poor practices in assessing the performance of supervised classification rules, and we suggest guidelines for better methodology. We also describe a new assessment criterion that is suitable for the needs of many practical problems.
authors.affiliation: Department of Mathematics, Imperial College, Huxley Building, 180 Queen's Gate, London, SW7 2BZ, UK.
authors.forename: N M
authors.initials: NM
authors.lastname: Adams
authors.forename: D J
authors.initials: DJ
authors.lastname: Hand
mesh_terms: D004194:Disease; D017408:Guidelines as Topic; D006801:Humans; D015233:Models, Statistical; D012372:ROC Curve; D012016:Reference Values; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D013223:Statistics as Topic / Q000379:methods*