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IFN645 Feature Selection Overview by meghraj is a document available to read on EtoBox.

What is IFN645 Feature Selection Overview about?

The document discusses feature selection techniques for large scale data mining. It begins by introducing the topic of feature selection and the problems associated with initial feature sets, such as irrelevant, redundant, and interacting features. It then describes three common approaches to feature selection: manual selection, wrapper methods, and filter methods. For manual selection, domain experts are consulted to identify important features. Wrapper methods treat feature selection as a search problem t

Author

meghraj

Language

EN