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fitctree - terminate training after iteration or after criterion

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Anton
Anton am 17 Sep. 2019
I am using fitctree for my classification task. I noticed that the best prediction result frequently is given after the one of the first 5 iterations. However, I found no possibility to terminate the training earlier.
Does someone know, if there is a possibility?
Does the model still improve, if the objective in later trainings is not getting any better?

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