Regularized linear and gradient boosted ensemble methods to predict athletes’ gender based on a survey of masters athletes-Reference-Cited by-同舟云学术

Regularized linear and gradient boosted ensemble methods to predict athletes’ gender based on a survey of masters athletes

Author:

Walsh Joe¹,Heazlewood Ian Timothy¹,Climstein Mike²³⁴

Affiliation:

1. School of Environmental and Life Sciences, Charles Darwin University, Darwin, Australia

2. Exercise, Health and Performance Faculty Research Group, Faculty of Health Sciences, The University of Sydney, Sydney, Australia

3. Water Based Research Unit, Faculty of Health Sciences and Medicine, Bond University, Robina, Australia

4. School of Health and Human Sciences, Southern Cross University, Lismore, Australia

Publisher

IOS Press

Subject

Applied Mathematics,Modelling and Simulation,Statistics and Probability

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