The Benefits of the Matthews Correlation Coefficient (MCC) Over the Diagnostic Odds Ratio (DOR) in Binary Classification Assessment.
Davide ChiccoValery StarovoitovGiuseppe JurmanPublished in: IEEE Access (2021)
Keyphrases
- correlation coefficient
- binary classification
- odds ratio
- logistic regression
- support vector
- multi class
- learning problems
- cost sensitive
- multi class classification
- support vector machine
- bayes rule
- generalization error
- multi label
- prediction accuracy
- ensemble methods
- intuitionistic fuzzy sets
- class imbalance
- face recognition
- kernel methods
- benchmark datasets
- text categorization
- active learning
- machine learning