Why You Should Never Use Cross-Validation

In real-world applications, using randomized cross-validation is always a bad choice. Here is why.

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As a data scientist, it frequently happens to me that I need a quick and dirty estimate of how a predictive model would perform on a given dataset. For a long time, I did this through cross-validation. Then, I realized I was…