Validation of machine learning ridge regression models using Monte Carlo, bootstrap, and variations in cross-validation.
Robbie T. NakatsuPublished in: J. Intell. Syst. (2023)
Keyphrases
- cross validation
- monte carlo
- regression model
- model selection
- machine learning
- variable selection
- sample size
- markov chain
- hyperparameters
- feature selection
- regression methods
- monte carlo tree search
- statistical inference
- gaussian process
- generalization error
- parameter estimation
- prediction model
- linear model
- regression problems
- particle filter
- support vector regression
- machine learning algorithms
- learning algorithm
- semi parametric
- training data
- support vector machine
- supervised learning
- confidence intervals
- regression trees
- learning machines
- training set
- active learning
- ls svm
- text classification
- support vector
- kernel methods
- data mining