A Boosting Approach to Constructing an Ensemble Stack.
Zhilei ZhouZiyu QiuBrad NiblettAndrew JohnstonJeffrey SchwartzentruberNur Zincir-HeywoodMalcolm I. HeywoodPublished in: CoRR (2022)
Keyphrases
- ensemble methods
- ensemble learning
- base classifiers
- weak learners
- ensemble classification
- ensemble classifier
- weak classifiers
- randomized trees
- feature selection
- learning algorithm
- random forests
- base learners
- benchmark datasets
- majority voting
- neural network
- multiple classifier systems
- prediction accuracy
- decision trees
- pruning algorithm
- weighted voting
- multi class classification
- random forest
- machine learning methods
- binary classification problems
- data sets
- decision tree ensembles
- binary classification
- concept drift
- cost sensitive
- ensemble members
- machine learning