publication . Other literature type . Article . 2020

Comparative study of quality estimation of binary classification

V. V. Starovoitov; Yu. I. Golub;
Open Access English
  • Published: 01 Mar 2020
  • Publisher: Unpublished
Abstract
The paper describes results of analytical and experimental analysis of seventeen functions used for evaluation of binary classification results of arbitrary data. The results are presented by 2×2 error matrices. The behavior and properties of the main functions calculated by the elements of such matrices are studied. Classification options with balanced and imbalanced datasets are analyzed. It is shown that there are linear dependencies between some functions, many functions are invariant to the transposition of the error matrix, which allows us to calculate the estimation without specifying the order in which their elements were written to the matrices.It has b...
Subjects
free text keywords: binary classification, confusion matrix, functions of accuracy classification, area under roc curve, youden’s index, Electronic computers. Computer science, QA75.5-76.95, Binary classification, Invariant (mathematics), Pattern recognition, Linear independence, Diagnostic odds ratio, Matthews correlation coefficient, Artificial intelligence, business.industry, business, Confusion matrix, Entropy (information theory), Mathematics, Matrix (mathematics)
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