"Decision Tree Optimization and Accuracy"
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If you are using cross-validation without a local random seed set then every time you close and re-open that process in RapidMiner you can get a different result even if you don't make any other changes. So I suspect that could be the issue.
Hi,
what performances are you comparing? The X-Val performances from within the optimization with an X-Val result from without?
Are the performances comparable w.r.t their std_devs?
~Martin