On Computing Probabilistic Explanations for Decision Trees.
Marcelo ArenasPablo BarcelóMiguel RomeroBernardo SubercaseauxPublished in: CoRR (2022)
Keyphrases
- decision trees
- probabilistic model
- machine learning
- decision tree induction
- training data
- bayesian networks
- random forest
- data sets
- data driven
- uncertain data
- decision tree learning
- data mining methods
- machine learning algorithms
- generative model
- information systems
- naive bayes
- context sensitive
- genetic programming
- ensemble methods
- base classifiers
- multi class
- probabilistic reasoning
- attribute selection
- information retrieval