A methodology for comparing classification methods through the assessment of model stability and validity in variable selection.
J. ShreveHelmut SchneiderÖmer M. SoysalPublished in: Decis. Support Syst. (2011)
Keyphrases
- variable selection
- cross validation
- linear models
- classification models
- probabilistic model
- logistic regression models
- preprocessing
- model selection
- selection criterion
- learning algorithm
- pattern recognition
- classification accuracy
- ls svm
- proportional hazards model
- data sets
- naive bayes classifier
- prediction model
- linear regression
- neural network model
- feature extraction
- feature selection