Explaining classifiers with measures of statistical association.
Emanuele BorgonovoValentina GhidiniRoman HahnElmar PlischkePublished in: Comput. Stat. Data Anal. (2023)
Keyphrases
- statistical tests
- statistical analysis
- statistical measures
- training data
- diversity measures
- statistical models
- supervised classification
- support vector
- class labels
- correlation analysis
- evaluation measures
- training set
- majority voting
- linear classifiers
- statistical information
- classification decisions
- confusion matrices
- machine learning methods
- classification models
- genetic algorithm
- decision trees
- test set
- feature set
- data sets
- feature selection
- multiple classifiers
- contingency tables
- association rules
- training samples
- naive bayes
- classification rate
- extracted features
- roc curve
- ensemble learning