Paweł Cisło

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Nested cross-validation is more complicated, but it works as you might suspect. Say we would like to do cross-validation to assess the generalization accuracy of a new modeling technique, which has an adjustable complexity parameter C, but we do not know how to set it. So, we run cross-validation as described above.
Paweł Cisło
Nested cross-validation
Data Science for Business: What You Need to Know about Data Mining and Data-Analytic Thinking
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