Assessment of the quality of a binary classifier in research
А. А. Ковалев, Б. К. Кузнецов, A. A. Yadchenko, В. А. Игнатенко
Abstract
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.
Topics & Concepts
Classifier (UML)Binary numberQuality assessmentComputer scienceBinary classificationReceiver operating characteristicArtificial intelligenceMachine learningPattern recognition (psychology)StatisticsData miningMathematicsReliability engineeringEngineeringEvaluation methodsSupport vector machineArithmeticStatistical and Computational Modeling