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is it usefull to retrain the selected modell on the full dataset after tested on split data?
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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MartinLiebig
Administrator, Moderator, Employee, RapidMiner Certified Analyst, RapidMiner Certified Expert, University Professor Posts: 3,525 
RM Data Scientist
Hi,the model you get from cross validation is exactly doing this, because it is very likely that the model is better.Best,Martin- Sr. Director Data Solutions, Altair RapidMiner -
Dortmund, Germany6
