GPT in Data Science: A Practical Exploration of Model Selection.
Nathalia Moraes do NascimentoCristina TavaresPaulo S. C. AlencarDonald D. CowanPublished in: CoRR (2023)
Keyphrases
- model selection
- data science
- statistical learning
- cross validation
- machine learning
- bayesian learning
- hyperparameters
- parameter estimation
- sample size
- gaussian process
- mixture model
- error estimation
- statistical inference
- selection criterion
- regression model
- unsupervised learning
- bayesian methods
- parameter determination
- feature selection
- bayesian information criterion
- real world
- generalization error
- variable selection
- information criterion
- big data
- graphical models
- feature extraction
- mutual information
- marginal likelihood
- model selection criteria
- automatic model selection