Variation of the Intercession Coefficient Used as a Hyper Parameter in Machine Learning in Regression Models.
Fabricio EcheverriaMarcelo LeónZila EstevesCarlos RedrobanPublished in: ICIIA (2021)
Keyphrases
- regression model
- model selection
- hyperparameters
- machine learning
- cross validation
- gaussian process
- regression methods
- sample size
- regression problems
- feature selection
- regression analysis
- multivariate regression
- parameter estimation
- generalized linear models
- linear model
- survival analysis
- regression trees
- decision trees
- data mining
- explanatory variables
- data analysis
- learning algorithm
- bayesian framework
- closed form
- active learning
- random sampling
- support vector regression
- parameter settings
- prior information
- regression method
- least squares
- high dimensional
- support vector
- interval valued data