Overfitting or perfect fitting? Risk bounds for classification and regression rules that interpolate.
Mikhail BelkinDaniel J. HsuPartha MitraPublished in: NeurIPS (2018)
Keyphrases
- decision trees
- risk bounds
- cross validation
- support vector
- feature space
- model selection
- regression problems
- regression model
- generalization ability
- feature extraction
- support vector machine svm
- machine learning algorithms
- text classification
- data dependent
- support vector machine
- feature selection
- training samples
- linear regression
- supervised learning
- statistical learning
- regression method
- ridge regression