Ensembles of Bagged TAO Trees Consistently Improve over Random Forests, AdaBoost and Gradient Boosting.
Miguel Á. Carreira-PerpiñánArman ZharmagambetovPublished in: FODS (2020)
Keyphrases
- random forests
- decision tree ensembles
- base learners
- gradient boosting
- decision trees
- ensemble methods
- tree ensembles
- regression trees
- random forest
- logistic regression
- randomized trees
- machine learning algorithms
- base classifiers
- ensemble learning
- regression problems
- learning algorithm
- naive bayes
- machine learning methods
- benchmark datasets
- prediction accuracy
- generalization ability
- structured data
- semi supervised learning
- text classification
- multi class
- feature extraction
- data mining