An experimental approach of applying boruta and elastic net for variable selection in classifying breast cancer datasets.
C. P. SumathiM. S. PadmavathiPublished in: Int. J. Knowl. Eng. Data Min. (2019)
Keyphrases
- variable selection
- elastic net
- cross validation
- input variables
- high dimensional
- model selection
- topology preserving
- linear models
- dimension reduction
- regularization parameter
- sparse learning
- ls svm
- gene expression data
- linear support vector machines
- feature selection
- machine learning
- self organizing maps
- high dimensional data
- feature extraction
- face recognition