Evaluating classifier predictive performance in multi-class problems with balanced and imbalanced data sets.
Amalia VanacoreMaria Sole PellegrinoArmando CiardielloPublished in: Qual. Reliab. Eng. Int. (2023)
Keyphrases
- multi class problems
- imbalanced data sets
- class imbalance
- cost sensitive learning
- minority class
- binary classification problems
- class distribution
- multi class
- active learning
- cost sensitive
- weak classifiers
- feature selection
- binary classifiers
- naive bayes
- misclassification costs
- roc curve
- binary classification
- logistic regression
- high dimensionality
- decision trees
- training data
- multi class classification
- training samples
- linear classifiers
- support vector machine
- concept drift
- class labels
- training examples
- training set
- support vector
- linear combination
- data sets