Distributional bias compromises leave-one-out cross-validation.
George I. AustinItsik Pe'erTal KoremPublished in: CoRR (2024)
Keyphrases
- feature extraction
- leave one out cross validation
- feature selection
- model selection
- variable selection
- support vector machine
- cross validation
- k nearest neighbour
- generalization error
- confidence intervals
- kernel learning
- feature subset
- ridge regression
- machine learning
- upper bound
- high dimensional
- information gain
- monte carlo
- high dimensional data
- support vector