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Comparison of Lazy and Eager Hierarchical Feature Selection Methods and Biological Interpretation on Frequently Selected Gene Ontology Terms Relevant to the Biology of Ageing

Chapter
Part of the Advanced Information and Knowledge Processing book series (AI&KP)

Abstract

This chapter compares the predictive performance of all different hierarchical feature selection methods working with different classifiers on 28 datasets. The number of features selected by different feature selection methods are also reported. Finally, the features (GO terms) selected by the optimal hierarchical feature selection methods are interpreted for revealing potential patterns relevant to the biology of ageing.

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.Department of Computer ScienceUniversity College LondonLondonUK

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