article Open AccessTop 1% cited
Measuring classifier performance: a coherent alternative to the area under the ROC curve
Machine Learning · 2009 · Vol. 77(1) · pp. 103–123
David J. Hand✉(London Institute for Mathematical Sciences)
Imbalanced Data Classification TechniquesMedical Coding and Health InformationData Mining Algorithms and ApplicationsClassifier (UML)Receiver operating characteristicArtificial intelligenceMathematicsProperty (philosophy)Pattern recognition (psychology)Area under curveComputer scienceStatisticsClass (philosophy)
Funding
- Royal Society
Citations
976
FWCI
53.07
field-weighted impact
References
30
Percentile
100%
vs. same field & year
Citations per year
Cited by
A boosted decision tree approach using Bayesian hyper-parameter optimization for credit scoring
Expert Systems with Applications · 2017 · 750 citations
A Survey of Predictive Modeling on Imbalanced Domains
ACM Computing Surveys · 2016 · 1,063 citations
Benchmarking state-of-the-art classification algorithms for credit scoring: An update of research
European Journal of Operational Research · 2015 · 1,087 citations
Learning from class-imbalanced data: Review of methods and applications
Expert Systems with Applications · 2016 · 2,276 citations
The advantages of the Matthews correlation coefficient (MCC) over F1 score and accuracy in binary classification evaluation
BMC Genomics · 2020 · 5,520 citations
References
A Simple Generalisation of the Area Under the ROC Curve for Multiple Class Classification Problems
Machine Learning · 2001 · 2,221 citations
The use of the area under the ROC curve in the evaluation of machine learning algorithms
Pattern Recognition · 1997 · 7,122 citations
The meaning and use of the area under a receiver operating characteristic (ROC) curve.
Radiology · 1982 · 21,496 citations
Citation Network
How this paper connects to the literature. Drag to explore, click any node to open that paper.