cross-validation
Noun
Meaning
cross-validation (usually uncountable, plural cross-validations)
(statistics) Any technique or instance of assessing how the results of a statistical analysis will generalize to an independent dataset.
Synonyms
Examples
Also, would like to see some other competing models tried (neural nets, regression trees etc.) prior to cross-validation.
You can structure your cross-validation holdout set or K folds so that the training set data are all collected previous to the testing set.
In the first chapter of this course, you'll fit regression models with and evaluate their out-of-sample performance using cross-validation and root-mean-square error (RMSE).
One of the more efficient methods for model evaluation and tuning is cross-validation.
Tackling such demanding biological questions often requires initiating and fostering important collaborations for cross-validation of new and potentially groundbreaking results; being in the RPF programme greatly facilitated this.