Is K-fold cross validation the best model selection method for Machine Learning?
Juan Manuel GórrizFermín SegoviaJavier RamírezAndrés OrtizJohn SucklingPublished in: CoRR (2024)
Keyphrases
- model selection
- machine learning
- cross validation
- parameter estimation
- hyperparameters
- machine learning methods
- meta learning
- regression model
- selection criterion
- statistical model
- mixture model
- mutual information
- data mining
- supervised learning
- support vector machine
- probabilistic model
- objective function
- statistical learning
- similarity measure
- bayesian methods
- bayesian learning
- feature selection
- covariate shift
- parameter determination