Explaining Predictions from Tree-based Boosting Ensembles.
Ana LucicHinda HanedMaarten de RijkePublished in: CoRR (2019)
Keyphrases
- ensemble methods
- ensemble learning
- base learners
- base classifiers
- decision stumps
- ensemble classifier
- weighted voting
- weak learners
- generalization ability
- decision trees
- random forests
- decision tree ensembles
- prediction accuracy
- models built
- learning scheme
- learning algorithm
- multiple classifier systems
- machine learning
- negative correlation learning
- machine learning methods
- benchmark datasets
- random forest
- cost sensitive
- classifier ensemble
- multi class
- randomized trees
- ensemble members
- combining classifiers
- imbalanced data
- classification accuracy
- training set
- naive bayes
- training data
- loss function
- combining multiple
- generating explanations
- feature selection
- genetic algorithm