AutoML for Academic Paper

DennisBalogluDennisBaloglu Member Posts: 11 Newbie

I am currently using AutoML for an academic paper and need to write out the some of the underlying mechanisms for the analysis. I was wondering how AutoML works "behind the scenes"? Does it choose the "best" hyperparameters for each analysis? I am using it for classification if that helps.

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    David_ADavid_A Administrator, Moderator, Employee, RMResearcher, Member Posts: 297 RM Research
    Solution Accepted

    every step in AutoModel is represented as a RapidMiner operator.
    So once you have finished your analysis, you can click on Open Process and see the underlying RapidMiner process. You can also save the results and use the model to score new data.

    As you can see in the processes, there is always a step Train Model -> Optimize  in which a hyperparameter tuning takes place.



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    DennisBalogluDennisBaloglu Member Posts: 11 Newbie
    Got it, so does the optimization change based on the dataset or other factors? Like, how does the optimization itself work? Is it another layer of machine learning?
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