Bootstrapping the out-of-sample predictions for efficient and accurate cross-validation
{{output}}
Cross-Validation (CV), and out-of-sample performance-estimation protocols in general, are often employed both for (a) selecting the optimal combination of algorithms and values of hyper-parameters (called a configuration) for producing the final predictive mod... ...
