VIRTUAL ISSUE: FEATURE SELECTION ON MACHINE LEARNING
With the development of artificial intelligence, machine learning has entered more and more practical application fields. In the practical application of machine learning, the number of features is usually large. Feature selection can eliminate irrelevant or redundant features, so as to reduce the number of features, improve model accuracy and reduce running time. Focusing on this research topic, this virtual issue collects 9 relevant articles on feature selection from 2016 to 2021.