A cost-sensitive Imprecise Credal Decision Tree based on Nonparametric Predictive Inference.
Serafín Moral-GarcíaJoaquín AbellánTahani Coolen-MaturiFrank P. A. CoolenPublished in: Appl. Soft Comput. (2022)
Keyphrases
- cost sensitive
- multi class
- cost sensitive learning
- misclassification costs
- cost sensitive classification
- binary classification
- credal networks
- active learning
- class distribution
- bayesian networks
- confidence weighted
- naive bayes
- cost sensitive boosting
- class imbalance
- boosting algorithms
- support vector machine
- rough sets
- natural language processing
- neural network
- data sets