Random forests for feature selection in QSPR Models - an application for predicting standard enthalpy of formation of hydrocarbons

Authors

Keywords

Feature selection, Variable importance, High dimensional data, Random forests, Data-mining, Property prediction, QSPR, Hybrid methodology

Journal

Volume 5, Issue 1, Pages 9

Publisher

Springer Nature

Online

2013-02-12

DOI

10.1186/1758-2946-5-9

References

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