Open AccessAssessment of the quality of a binary classifier in research
Author(s) -
А. А. Ковалев,
Б. К. Кузнецов,
A. A. Yadchenko,
V.A. Ignatenko
Publication year - 2020
Publication title -
problemy zdorovʹâ i èkologii
Language(s) - English
Resource type - Journals
eISSN - 2708-6011
pISSN - 2220-0967
DOI - 10.51523/2708-6011.2020-17-4-15
Subject(s) - classifier (uml) , binary number , quality assessment , computer science , binary classification , receiver operating characteristic , artificial intelligence , machine learning , pattern recognition (psychology) , statistics , data mining , mathematics , reliability engineering , engineering , evaluation methods , support vector machine , arithmetic
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.