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The power of error analysis, tree models for search relevancy, what ChatGPT means for data scientists - Sergey Feldman - The Data Scientist Show #059
The Data Scientist Show
Nested Cross-Validation for Machine Learning
You give a talk on nested cross-validation at PyData Conference. This really applies when you have small-ish data or very, very large compute. It's never a bad idea and you often will discover that, oh, seven different learning rates work on my model. There isn't one good one. For one test set, I have this amazing performance. I was going to write a paper, but for my second test set,. I have horrible performance. That happens a lot, especially for tiny data sets.
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