MetaBags: Bagged Meta-Decision Trees for Regression.
Jihed KhiariLuís Moreira-MatiasAmmar ShakerBernard ZenkoSaso DzeroskiPublished in: CoRR (2018)
Keyphrases
- decision trees
- regression trees
- naive bayes
- random forests
- locally weighted
- tree induction
- regression model
- regression problems
- base classifiers
- logistic regression
- linear regression
- machine learning algorithms
- decision tree induction
- random forest
- machine learning
- predictive accuracy
- classification trees
- attribute selection
- ensemble methods
- decision rules
- model selection
- rule sets
- conditional random fields
- meta reasoning
- polynomial regression
- regression methods
- ridge regression
- training data
- training set
- data mining methods
- classification rules
- bayesian networks
- boosted decision trees
- search results clustering
- predictive clustering trees
- rule induction
- decision tree learning
- decision tree algorithm
- feature construction
- simple linear
- reproducing kernel hilbert space
- partial least squares
- meta level
- linear model
- support vector machine