Incorporating receiver operating characteristics into naive Bayes for unbalanced data classification.
Taeheung KimByung Do ChungJong-Seok LeePublished in: Computing (2017)
Keyphrases
- naive bayes
- unbalanced data
- classification accuracy
- misclassification costs
- decision trees
- receiver operating characteristic
- roc curve
- text classification
- classification algorithm
- training data
- cost sensitive
- logistic regression
- feature selection
- bayesian networks
- machine learning
- support vector machine
- text categorization
- support vector
- feature set
- base classifiers
- training set
- data sets
- support vector machine svm
- text mining
- training examples
- supervised learning
- pairwise
- class distribution
- data analysis