Noun
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.
Also, would like to see some other competing models tried (neural nets, regression trees etc.) prior to cross-validation. Source: Internet
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. Source: Internet
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). Source: Internet
One of the more efficient methods for model evaluation and tuning is cross-validation. Source: Internet
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. Source: Internet