Efficient algorithms for decision tree cross-validation.
Hendrik BlockeelJan StruyfPublished in: ICML (2001)
Keyphrases
- cross validation
- decision trees
- decision tree induction
- training set
- model selection
- support vector
- variable selection
- hyperparameters
- cross validated
- machine learning
- regression problems
- logistic regression
- machine learning algorithms
- error estimates
- regularization parameter
- generalization error
- naive bayes
- nearest neighbor classifiers
- training data
- ensemble methods
- unseen data
- random forest
- inductive learning
- support vector machine
- information criterion
- rbf kernel
- active learning