Python functions -- cross-validation methods from a data-driven perspective

Dataset

DOI

This is the organized python functions of proposed methods in Yanwen Wang PhD research. Researchers can directly use these functions to conduct spatial+ cross-validation, dissimilarity quantification method, and dissimilarity-adaptive cross-validation.

Identifier
DOI	https://doi.org/10.17026/PT/TXAU9W
Metadata Access	https://phys-techsciences.datastations.nl/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.17026/PT/TXAU9W

Provenance
Creator	Y. Wang
Publisher	DANS Data Station Physical and Technical Sciences
Contributor	Wang, Y.
Publication Year	2024
Rights	CC0 1.0; info:eu-repo/semantics/openAccess; http://creativecommons.org/publicdomain/zero/1.0
OpenAccess	true
Contact	Wang, Y. (University of Twente)

Representation
Resource Type	Dataset
Format	image/tiff; text/tab-separated-values; text/x-python; application/vnd.openxmlformats-officedocument.wordprocessingml.document; text/plain; image/png
Size	12196238; 1564525; 3060978; 3648419; 1184; 3417568; 2282443; 8210; 8181; 2516606; 2059260; 63366; 6478950; 6385076; 1385025; 2817752; 1606453; 5726045; 2412540; 5598; 1220; 6567360; 102; 30174; 48948; 29; 20072; 110251; 12056; 49141; 28; 27725; 263901; 2474294; 3802696; 6135064; 2423836; 4833081; 5695336; 12795; 6466131; 6534556; 2880005; 4729349; 2413148; 5385805; 3031197; 4396561
Version	3.0
Discipline	Earth and Environmental Science; Environmental Research; Geosciences; Natural Sciences