Empirical Comparison Between Cross-Validation and Mutation-Validation in Model Selection.
Jinyang YuSami HamdanLeonard SasseAbigail MorrisonKaustubh R. PatilPublished in: IDA (2) (2024)
Keyphrases
- model selection
- cross validation
- hyperparameters
- machine learning
- variable selection
- generalization error
- parameter estimation
- sample size
- regression model
- genetic algorithm
- meta learning
- mixture model
- feature selection
- selection criterion
- error estimation
- gaussian process
- leave one out cross validation
- information criterion
- least squares
- differential evolution
- support vector
- learning algorithm
- model selection criteria
- generative model
- genetic algorithm ga
- bayesian networks
- confidence intervals