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Results tagged with cross-validation
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user 33603
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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How to use the output of GridSearch?
Decided to go away and find the answers that would satisfy my question, and write them up here for anyone else wondering.
The .best_estimator_ attribute is an instance of the specified model type, whi …
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