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RapidMiner

Optimizing parameters operator perform differently from validation result

Contributor

Optimizing parameters operator perform differently from validation result

The optimal parameter given by the "Optimizing parameters" operator , when I apply them to a same "validation" operator as in the "Optimizing" operator. It gives different root mean squared error from the result of the "Optimizing parameters" operator. Why does this happen?
1 REPLY
Super Contributor

Re: Optimizing parameters operator perform differently from validation result

The X-Validation uses random splits to create the different folds. Try setting a specific local random seed in all X-Validation operators to get the exact same results.

Best regards,
Marius