Uncovering Decision-making Process of Cost-sensitive Tree-based Classifiers using the Adaptation of TreeSHAP.
Marija KopanjaSanja BrdarStefan HackoPublished in: xAI (Late-breaking Work, Demos, Doctoral Consortium) (2023)
Keyphrases
- cost sensitive
- naive bayes
- training data
- cost sensitive learning
- misclassification costs
- binary classification
- cost sensitive classification
- multi class
- support vector
- decision trees
- small number
- semi supervised learning
- training samples
- active learning
- svm classifier
- classification algorithm
- feature space
- class distribution
- boosting algorithms