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is it usefull to retrain the selected modell on the full dataset after tested on split data?

brysbrys Member Posts: 1 Contributor I
i have a basic data-science theoretical question (apoligies if answered somewhere, i could not find it): after selecting a satisfying modell (using split datasets via k-fold cross-validation) is it usefull to retrain the modell on the full dataset before using it for prediction?


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