A Comparison of Model Selection Metrics in DataShop.
John C. StamperKenneth R. KoedingerElizabeth A. McLaughlinPublished in: EDM (2013)
Keyphrases
- model selection
- cross validation
- hyperparameters
- parameter estimation
- machine learning
- statistical learning
- regression model
- sample size
- meta learning
- bayesian learning
- model selection criteria
- variable selection
- selection criterion
- motion segmentation
- parameter determination
- gaussian process
- statistical inference
- mixture model
- leave one out cross validation
- generalization bounds
- error estimation
- marginal likelihood
- automatic model selection
- real world
- posterior distribution
- closed form