Model Selection for Multi-directional Ensemble of Regression and Classification Trees.
Evgeniya KornevaHendrik BlockeelPublished in: BNCAI (2018)
Keyphrases
- model selection
- classification trees
- multi directional
- regression problems
- regression trees
- cross validation
- training data
- hyperparameters
- regression model
- random forests
- decision trees
- training set
- feature selection
- logistic regression
- sample size
- parameter estimation
- learning machines
- ensemble methods
- machine learning
- ensemble learning
- variable selection
- random forest
- inductive learning
- class distribution
- generalization error
- base classifiers
- unsupervised learning
- data sets
- gaussian process
- genetic programming
- classification accuracy
- learning algorithm
- pairwise
- naive bayes
- bayesian information criterion