HIGHLIGHTS
- who: David Chardin from the Laboratoire d'Informatique, France have published the research: Primal-dual for classification with rejection (PD-CR): a novel method for classification and feature selection—an application in metabolomics studies, in the Journal: (JOURNAL)
- what: The authors compare PD-CR to three commonly used methods: partial least squares discriminant analysis (PLS-DA) random forests and support vector machines (SVM). Although there are many machine_learning methods for feature selection such as LASSO , Discriminant analysis , Proximal methods and Boosting , here the authors compare the novel Primal-Dual method for Classification with Rejection (PD . . .
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