Empirical Comparison between Cross-Validation and Mutation-Validation in Model Selection.
Jinyang YuSami HamdanLeonard SasseAbigail MorrisonKaustubh R. PatilPublished in: CoRR (2023)
Keyphrases
- cross validation
- model selection
- variable selection
- hyperparameters
- machine learning
- generalization error
- parameter estimation
- sample size
- regression model
- error estimation
- mixture model
- differential evolution
- meta learning
- information criterion
- genetic algorithm
- learning machines
- selection criterion
- feature selection
- data mining
- bayesian information criterion
- model selection criteria
- statistical inference
- gaussian process
- genetic algorithm ga
- support vector
- gaussian mixture model
- training set