Maximizing AUC to learn weighted naive Bayes for imbalanced data classification.
Taeheung KimJong-Seok LeePublished in: Expert Syst. Appl. (2023)
Keyphrases
- naive bayes
- imbalanced data classification
- decision trees
- feature selection
- classification accuracy
- augmented naive bayes
- text classification
- logistic regression
- probability estimation
- text categorization
- training data
- naive bayes classifier
- bayesian networks
- classification algorithm
- cost sensitive
- bayesian network classifiers
- conditional independence assumption
- machine learning
- base classifiers
- misclassification costs
- probability estimates
- unsupervised learning
- neural network
- random forest
- class distribution
- training set
- support vector