DataSplits.jl: Data splitting strategies for machine learning in Julia

Julia Python Submitted 02 June 2026 • Published 30 October 2026
Review

Editor: @matt-graham (all papers)
Reviewers: @MohamedLaghdafHABIBOULLAH (all reviews), @jonocarroll (all reviews)

Authors

Davide Crucitti (0009-0006-9458-9793), Carlos Pérez Míguez (0009-0004-7972-9431), Adrián Mosquera Orgueira (0000-0003-4838-6750)

Citation

Crucitti et al., (2026). DataSplits.jl: Data splitting strategies for machine learning in Julia. Journal of Open Source Software, 11(126), 11066, https://doi.org/10.21105/joss.11066

@article{Crucitti2026, doi = {10.21105/joss.11066}, url = {https://doi.org/10.21105/joss.11066}, year = {2026}, publisher = {The Open Journal}, volume = {11}, number = {126}, pages = {11066}, author = {Crucitti, Davide and Pérez Míguez, Carlos and Mosquera Orgueira, Adrián}, title = {DataSplits.jl: Data splitting strategies for machine learning in Julia}, journal = {Journal of Open Source Software} }
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machine learning chemometrics spectroscopy cross-validation resampling data splitting

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ISSN 2475-9066