Cost-Sensitive Best Subset Selection for Logistic Regression: A Mixed-Integer Conic Optimization Perspective.
Ricardo KnauerErik RodnerPublished in: KI (2023)
Keyphrases
- logistic regression
- cost sensitive
- mixed integer
- subset selection
- naive bayes
- feature selection
- misclassification costs
- cost sensitive learning
- decision trees
- multi class
- linear program
- lot sizing
- classification accuracy
- support vector
- text classification
- text categorization
- feasible solution
- convex hull
- training data
- probability estimates
- class distribution
- bayesian networks
- support vector machine
- linear programming
- continuous variables
- optimization problems
- loss function
- machine learning
- evolutionary algorithm