Boosting-Based Sequential Meta-Tree Ensemble Construction for Improved Decision Trees.
Ryota ManiwaNaoki IchijoYuta NakaharaToshiyasu MatsushimaPublished in: CoRR (2024)
Keyphrases
- classification models
- decision trees
- ensemble methods
- ensemble classifier
- base classifiers
- classification trees
- decision tree algorithm
- decision tree learning
- tree construction
- training data
- decision tree classifiers
- ensemble learning
- tree induction
- random forest
- base learners
- leaf nodes
- ensemble classification
- random forests
- decision tree induction
- feature selection
- machine learning
- training set
- decision tree learning algorithm
- majority voting
- decision forest
- decision tree ensembles
- boosted decision trees
- fuzzy decision trees
- regression trees
- naive bayes
- classifier ensemble
- imbalanced data
- multivariate decision trees
- tree structure
- decision rules
- generalization ability
- learning algorithm
- neural network
- weak learners
- binary classification problems
- combining classifiers
- randomized trees
- concept drifting data streams
- multiple classifier systems
- pruning algorithm
- boosting algorithms
- prediction accuracy
- multi class
- data structure