Fast Sparse Decision Tree Optimization via Reference Ensembles.
Hayden McTavishChudi ZhongReto AchermannIlias KarimalisJacques ChenCynthia RudinMargo I. SeltzerPublished in: CoRR (2021)
Keyphrases
- decision trees
- decision tree induction
- naive bayes
- optimization problems
- high dimensional
- random forests
- ensemble methods
- global optimization
- optimization algorithm
- compressive sensing
- predictive accuracy
- combinatorial optimization
- constrained optimization
- information gain
- logistic regression
- machine learning algorithms
- data sets
- base classifiers
- random forest
- classification rules
- sparse representation
- training data
- attribute selection