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What is Feature Selection in Machine Learning about?

This document introduces the topic of variable and feature selection. It summarizes that variable and feature selection have become important areas of research for domains that involve large numbers of variables, such as text processing and gene expression analysis. The objectives of variable selection are to improve prediction performance, provide faster and more cost-effective predictors, and better understand the underlying data generation process. The paper then provides an overview of different aspects

Author

Luis Cavique

Language

EN