Overfitting or perfect fitting? Risk bounds for classification and regression rules that interpolate.
Mikhail BelkinDaniel HsuPartha MitraPublished in: CoRR (2018)
Keyphrases
- decision trees
- cross validation
- support vector
- feature vectors
- machine learning
- model selection
- regression problems
- feature selection
- risk bounds
- training samples
- regression model
- text classification
- supervised learning
- unsupervised learning
- support vector machine
- supervised classification
- training set
- regression method
- image segmentation