iris-hep/NSBI-workflow-tutorial

Introduce k-fold cross-validation in the training class

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Implement k-fold cross-validations for the training class, the workflow as it is now uses the same training data events for the final Asimov fit too. K-fold should avoid this by only performing inference on holdout sets based on trained models using the statistically independent training sets.

Current training class - link