The Effect of Statistical Hypothesis Testing on Machine Learning Model Selection.
Marcel Chacon GonçalvesRodrigo C. P. SilvaPublished in: BRACIS (2) (2023)
Keyphrases
- model selection
- statistical hypothesis testing
- sample size
- machine learning
- cross validation
- statistical learning
- bayesian learning
- parameter estimation
- hyperparameters
- feature selection
- unsupervised learning
- mixture model
- regression model
- statistical inference
- motion segmentation
- covariate shift
- error estimation
- generalization error
- machine learning methods
- gaussian process
- meta learning
- variable selection
- learning algorithm
- machine learning algorithms
- leave one out cross validation
- selection criterion
- inductive learning
- supervised learning
- data mining
- information criterion
- marginal likelihood
- model selection criteria
- learning machines
- bayesian methods
- text classification
- selection criteria
- active learning
- computational complexity
- real world
- automatic model selection