To do or not to do? Cost-sensitive causal classification with individual treatment effect estimates.
Wouter VerbekeDiego OlayaMarie-Anne GuerryJente Van BellePublished in: Eur. J. Oper. Res. (2023)
Keyphrases
- cost sensitive
- cost sensitive classification
- cost sensitive learning
- probability estimates
- multi class
- misclassification costs
- binary classification
- class imbalance
- active learning
- support vector machine
- class distribution
- confidence weighted
- class dependent
- machine learning
- naive bayes
- text classification
- classification accuracy
- decision trees
- supervised learning
- bayesian networks
- error rate
- model selection
- base classifiers
- training set
- learning environment
- face recognition
- semisupervised learning
- neural network