Models and Selection Criteria for Regression and Classification
David HeckermanChristopher MeekPublished in: CoRR (2013)
Keyphrases
- selection criteria
- model selection
- classification models
- support vector
- regression method
- classification accuracy
- pattern recognition
- machine learning methods
- regression model
- supervised learning
- machine learning algorithms
- machine learning
- model selection criteria
- cross validation
- image classification
- data sets
- decision trees
- text classification
- probabilistic model
- support vector machine
- pattern classification
- classification scheme
- locally weighted
- logistic regression models
- target variable
- numeric values
- response variable
- multiple linear regression
- multiple regression
- regression methods
- feature selection
- feature set
- regression trees
- training set
- feature vectors
- statistical models