Photosynthetica 2025, 63(3):296 | DOI: 10.32615/ps.2025.031

Avoiding leakage when classifying drought stress from OJIP fluorescence - comment on Xia et al. (2025)

E.P. PASTORE
University of Calabria, Department of Biology, Ecology and Earth Science, 87036 Arcavacata di Rende (CS), Italy

Received: October 6, 2025; Accepted: October 7, 2025; Prepublished online: October 7, 2025; Published: October 15, 2025  Show citation

ACS AIP APA ASA Harvard Chicago Chicago Notes IEEE ISO690 MLA NLM Turabian Vancouver
PASTORE, E.P. (2025). Avoiding leakage when classifying drought stress from OJIP fluorescence - comment on Xia et al. (2025). Photosynthetica63(3), 296. doi: 10.32615/ps.2025.031
Download citation

References

  1. Cawley G.C., Talbot N.L.C.: On over‑fitting in model selection and subsequent selection bias in performance evaluation. - J. Mach. Learn. Res. 11: 2079-2107, 2010.
  2. Kapoor S., Narayanan A.: Leakage and the reproducibility crisis in machine‑learning‑based science. - Patterns 4: 100804, 2023. Go to original source...
  3. Roberts D.R., Bahn V., Ciuti S. et al.: Cross‑validation strategies for data with temporal, spatial, hierarchical, or phylogenetic structure. - Ecography 40: 913-929, 2017. Go to original source...
  4. Varma S., Simon R.: Bias in error estimation when using cross‑validation for model selection. - BMC Bioinformatics 7: 91, 2006. Go to original source...
  5. Xia Q., Tang H., Tan J.L. et al.: Determination of rice (Oryza sativa L.) drought stress levels based on chlorophyll a fluorescence through independent component analysis. - Photosynthetica 63: 73-80, 2025. Go to original source...