Subsampling bias and the best-discrepancy systematic cross validation

Statistical machine learning models should be evaluated and validated before putting to work. Conventional k-fold Monte Carlo Cross-Validation (MCCV) procedure uses a pseudo-random sequence to partition instances into k subsets, which usually causes subsampling bias, inflates generalization errors a...

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Bibliographic Details

Main Authors:	Liang Guo, Jianya Liu, Ruodan Lu
Format:	Default Article
Published:	2019
Subjects:	Other built environment and design not elsewhere classified Subsampling bias Cross validation Systematic sampling Low-discrepancy sequence Best discrepancy sequence Built Environment and Design not elsewhere classified
Online Access:	https://hdl.handle.net/2134/38228
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