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Results tagged with cross-validation
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user 76001
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 test and train errors
I came across this sort of flowchart:
Below the flowchart, this is what appears:
“Given a training set, cross-validation error is computed for each configuration of tuning parameters (λ,d). The co …
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