On Tackling Explanation Redundancy in Decision Trees.
Yacine IzzaAlexey IgnatievJoão Marques-SilvaPublished in: J. Artif. Intell. Res. (2022)
Keyphrases
- decision trees
- decision tree induction
- predictive accuracy
- decision rules
- logistic regression
- training data
- data mining methods
- naive bayes
- machine learning algorithms
- redundancy reduction
- decision tree algorithm
- constructive induction
- random forests
- generating explanations
- rule induction
- attribute selection
- machine learning
- data sets
- causal explanation
- base classifiers
- counter intuitive
- classification trees
- databases
- neural network
- domain knowledge
- explanation based learning
- feature selection
- random forest
- information content
- similarity measure
- training set