K Fold Cross Validation Model Selection

About this skill

Use when when fitting a multi-block PLS discriminant model on multi-assay LC-MS metabolomics data and you need to determine the number of latent variables to retain without overfitting.

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0 potential findings · Scanned 11/4/2026 · Scanner 0.2.1

Content SHA-256: 37b95a0a1474ecc54bbf9798806fa9cc8f84f03f0c23e88712e31e0bdba5a89c

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Original listing metadata

Original name

k-fold-cross-validation-model-selection

Original description

Use when when fitting a multi-block PLS discriminant model on multi-assay LC-MS metabolomics data and you need to determine the number of latent variables to retain without overfitting.

About this listing

Category: General
Reported license: Apache-2.0
Listing language (estimated): English
Review status: Not individually reviewed
Agent compatibility: Atlas installation supports Claude Code, Codex, and Cursor. Skill-specific dependencies and features are checked during setup.