Steering the interpretability of decision trees using lasso regression - an evolutionary perspective.
Marcin CzajkowskiKrzysztof JurczukMarek KretowskiPublished in: Inf. Sci. (2023)
Keyphrases
- decision trees
- linear regression
- ridge regression
- model selection
- regression model
- regression coefficients
- decision tree induction
- generalized linear models
- predictive accuracy
- regression problems
- regression trees
- least squares
- machine learning
- tree induction
- variable selection
- regression method
- sample size
- decision tree learning
- prediction accuracy
- regression algorithm
- random forest
- locally weighted
- gaussian processes
- group lasso
- regression methods
- feature selection
- rule induction
- support vector regression
- cross validation
- naive bayes
- viewpoint
- support vector
- training data
- regression analysis
- random forests
- feature construction
- base classifiers
- rule base
- sparse representation
- machine learning algorithms
- predictive clustering trees