Can We Trust Score Plots?
Research output: Contribution to journal › Journal article › Research › peer-review
Final published version, 791 KB, PDF document
In this paper, we discuss the validity of using score plots of component models such as partial least squares regression, especially when these models are used for building classiﬁcation models, and models derived from partial least squares regression for discriminant analysis (PLS-DA). Using examples and simulations, it is shown that the currently accepted practice of showing score plots from calibration models may give misleading interpretations. It is suggested and shown that the problem can be solved by replacing the currently used calibrated score plots with cross-validated score plots.
|Number of pages||7|
|Publication status||Published - 2020|
Number of downloads are based on statistics from Google Scholar and www.ku.dk
No data available