Improving the Stability of the Variable Selection with Small Datasets in Classification and Regression Tasks.
Silvia CateniValentina CollaMarco VannucciPublished in: Neural Process. Lett. (2023)
Keyphrases
- variable selection
- model selection
- cross validation
- gene expression microarray data
- proportional hazards model
- dimension reduction
- linear models
- regression problems
- support vector
- feature selection
- logistic regression models
- input variables
- classification accuracy
- regression model
- group lasso
- neural network
- artificial neural networks
- high dimensional
- preprocessing
- pattern recognition
- classification trees
- feature extraction
- decision trees
- stepwise regression
- data sets
- high dimensional data
- support vector machine svm
- supervised learning
- support vector machine
- ls svm
- k nearest neighbour
- machine learning