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Results tagged with lasso
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user 42810
A regularization method for regression models that shrinks coefficients towards zero, making some of them equal to zero. Thus lasso performs feature selection.
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What to do AFTER nested cross-validation?
To answer your initial question (What to do AFTER Nested Cross-Validation?):
Nested cross-validation gives you several scores based on test data that the algorithm has not yet seen. Ordinary CV ("non …
- 1,580