Error estimation and model selection
Correct model selection requires careful data handling and attention to iterative or cyclic design / deployment procedures, as are the norm in everyday business applications. Performance estimates must be revised in view of data (re-)sampling and model selection procedures.

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Cross-validation: what does it estimate?

In Cross-validation: what does it estimate and how well does it do it? Bates et al. focus on cross validation for error estimation and show …

Miguel de Benito Delgado
Error Estimation and Model Selection

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