Generation and Evaluation of Factual and Gounterfaetual Explanations for Decision Trees and Fuzzy Rule-based Classifiers.
Ilia StepinJosé Maria AlonsoAlejandro CataláMartin Pereira-FariñaPublished in: FUZZ-IEEE (2020)
Keyphrases
- decision trees
- naive bayes
- training data
- machine learning algorithms
- predictive accuracy
- support vector
- logistic regression
- training set
- classification algorithm
- high predictive accuracy
- combining classifiers
- bayes classifier
- classification models
- test set
- fuzzy rules
- decision tree induction
- machine learning
- class labels
- ensemble methods
- evaluation method
- random forests
- induction algorithms
- supervised learning
- feature selection