Examining variable selection methods for the predictive performance of regression models and the proportion of selected variables and selected random variables
Author:
Funder
Japan Society for the Promotion of Science
Meiji University
Publisher
Elsevier BV
Subject
Multidisciplinary
Reference49 articles.
1. Best practices for QSAR model development, validation, and exploitation;Tropsha;Mol. Inf,2010
2. How not to develop a quantitative structure-activity or structure-property relationship (QSAR/QSPR), SAR QSAR;Dearden;Environ. Res.,2009
3. A short review of the generation of molecular descriptors and their applications in quantitative structure property/activity relationships;Sahoo;Curr. Comput. Aided Drug Des.,2016
4. QSPR prediction of physico-chemical properties for REACH;Dearden;SAR QSAR Environ. Res.,2013
5. Determination of the optimum conditions for the leaching of Cd-Ni residues from electrolytic zinc plant using statistical design of experiments;Safarzadeh;Separ. Purif. Technol.,2008
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