Feature Importance in Gradient Boosting Trees with Cross-Validation Feature Selection.
Afek Ilay AdlerAmichai PainskyPublished in: CoRR (2021)
Keyphrases
- cross validation
- feature importance
- feature selection
- gradient boosting
- model selection
- support vector
- loss function
- base learners
- single feature
- selected features
- random forest
- hyperparameters
- decision trees
- text categorization
- regression problems
- support vector machine
- generalization error
- meta learning
- classification accuracy
- feature selection algorithms
- machine learning
- feature set
- logistic regression
- k nearest neighbor
- knn
- training set
- feature extraction
- text classification
- feature ranking
- multi class
- data sets
- feature space
- kernel function
- relevance feedback
- semi supervised
- markov random field
- learning tasks
- semi supervised learning