A bias-variance based heuristic for constructing a hybrid logistic regression-naïve Bayes model for classification.
Yi TanPrakash P. ShenoyPublished in: Int. J. Approx. Reason. (2020)
Keyphrases
- logistic regression
- bayesian classifiers
- decision trees
- support vector
- bayes classifiers
- logistic regression models
- fold cross validation
- naive bayes
- linear support vector machines
- bayesian classifier
- text classification
- credit scoring
- classification trees
- bayes classifier
- classification accuracy
- belief nets
- random forests
- class membership probabilities
- bayesian network classifiers
- loss function
- supervised learning
- classification and regression trees
- bias variance
- odds ratio
- linear svm
- machine learning
- breast cancer
- cross validation
- trade off
- text categorization
- training set
- feature selection
- cost sensitive
- svm classifier
- data sets