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Results tagged with cross-validation
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user 64088
Refers to general procedures that attempt to determine the generalizability of a statistical result. Cross-validation arises frequently in the context of assessing how a particular model fit predicts future observations. Methods for cross-validation usually involve withholding a random subset of the data during model fitting and quantifying how accurate the withheld data are predicted and repeating this process to get a measure of prediction accuracy.
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Cross Validation how to determine when to Early Stop?
To Q1:
I think the answer is yes, but the performance is not guaranteed to generalize to new unseen data, if the data is not sampled from the same underlying distribution. Or if a lot of information h …
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