A Study of Cross-Validation and Bootstrap for Accuracy Estimation and Model Selection.
Ron KohaviPublished in: IJCAI (1995)
Keyphrases
- cross validation
- model selection
- parameter estimation
- hyperparameters
- leave one out cross validation
- error estimation
- variable selection
- selection criterion
- information criterion
- regression model
- error analysis
- generalization error
- hypothesis tests
- error estimates
- support vector
- gaussian process
- sample size
- mixture model
- classification accuracy
- training set
- machine learning
- data sets
- ls svm
- meta learning
- marginal likelihood
- decision trees
- statistical inference
- grid search