Health and Ecology Issues · 2020 · 13 citations · 2 references
ComputingBiostatisticsComputer ScienceDecision AnalysisMachine LearningStatistical LearningClassificationData QualityData Quality AssessmentDecision TreesSupport Vector MachinesArea Under The Receiver Operating Characteristic CurveBinary ClassificationClassification AccuracyClassification Accuracy AnalysisClassification PrecisionObserved Area Under The CurveStatistical Significance TestingStatistical Significance Thresholds
The article deals with the basic principles of the assessment of the quality of a binary classifier using the potential of the ROC analysis and describes a ROC analysis algorithm and the interpretation of the obtained results. The work discusses the methodology for the calculation of the main parameters of the ROC curve, as well as the instructions for the assessment of their statistical significance.
2
Small-sample precision of ROC-related estimates
Blaise Hanczar, Jianping Hua, Chao Sima et al. · Bioinformatics · 2010 · 328 citations · Full text