Feature Importance in Gradient Boosting Trees with Cross-Validation Feature Selection.
Afek Ilay AdlerAmichai PainskyPublished in: Entropy (2022)
Keyphrases
- cross validation
- feature importance
- gradient boosting
- feature selection
- model selection
- support vector
- loss function
- base learners
- single feature
- selected features
- random forest
- hyperparameters
- regression problems
- text categorization
- generalization error
- decision trees
- classification accuracy
- feature selection algorithms
- feature set
- training set
- machine learning
- text classification
- support vector machine
- feature space
- k nearest neighbor
- relevance feedback
- feature extraction
- sample size
- data sets
- semi supervised
- multi class
- ls svm
- knn
- feature ranking
- similarity measure
- learning algorithm