Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
7562132 | Chemometrics and Intelligent Laboratory Systems | 2018 | 8 Pages |
Abstract
SCV-U and SCV-N were used for PLS calibrations of three real data sets as well as a simulated data set and they were compared with LOOCV, k-fold CV and MCCV. Given a training and external validation set, different CV techniques were repeatedly used to evaluate the optimal model complexity and the prediction results were compared. The results indicate that SCV-U and SCV-N could provide useful alternatives to the traditional CV methods and SCV is less sensitive to the values of PLOO.
Related Topics
Physical Sciences and Engineering
Chemistry
Analytical Chemistry
Authors
Lu Xu, Hai-Yan Fu, Mohammad Goodarzi, Chen-Bo Cai, Qiao-Bo Yin, Ya Wu, Bang-Cheng Tang, Yuan-Bin She,