Available in: GBM, DRF, Deep Learning, GLM, GAM, Naïve-Bayes, K-Means, XGBoost, AutoML
When performing cross-validation, data is split into subsets using either the
fold_assignment parameter. You can then specify to save each of the outputted fold assignments by enabling the
keep_cross_validation_fold_assignment option. Note that this option is disabled by default.
More information about cross-validation is available in the Cross-Validation section.