Futility Analysis in the Cross-Validation of Machine Learning Models

27 May 2014Max Kuhn

Many machine learning models have important structural tuning parameters that cannot be directly estimated from the data. The common tactic for setting these parameters is to use resampling methods, such as cross--validation or the bootstrap, to evaluate a candidate set of values and choose the best based on some pre--defined criterion... (read more)

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