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Ensemble learning

[Deleted User][Deleted User] Posts: 0 Newbie
edited October 2019 in Help
Hi
 When we use " Ensemble learning" and " Group model operator " why the algorithm which has high accuracy alone effect  the same on group model? ( when we combine some algorithms with high accuracy the result doesnt improve more!!!!!) so in this situation           " Ensemble learning " doesnt have any meaning.

mbs


Best Answers

  • [Deleted User][Deleted User] Posts: 0 Newbie
    Solution Accepted
    Hi

    Finally I find the answer from this link. The answer is:

    "Keep in mind just by adding layers and more models to your stacking algorithm, does not mean you’ll get a better predictor". 

    https://medium.com/@rrfd/boosting-bagging-and-stacking-ensemble-methods-with-sklearn-and-mlens-a455c0c982de


    mbs
  • IngoRMIngoRM Employee-RapidMiner, RapidMiner Certified Analyst, RapidMiner Certified Expert, Community Manager, RMResearcher, Member, University Professor Posts: 1,751 RM Founder
    Solution Accepted
    Well, the more important part is that Group Models is actually not building an ensemble at all.  Group Model is simply collecting a set of models (predictive models and preprocessing models) and the resulting model is just applying them in the same order.  If you want to build ensembles, you need to use operators like Vote etc.
    Hope this helps,
    Ingo
  • Telcontar120Telcontar120 RapidMiner Certified Analyst, RapidMiner Certified Expert, Member Posts: 1,635 Unicorn
    Solution Accepted
    The Vote operator is a very simple ensemble---it takes multiple independent ML algorithms, builds a separate model for each, and then makes the final prediction based on voting from the predictions of each of the individual models.
     There is a nice tutorial process you can see with that operator to understand how it is set up and what the output looks like.  

    Brian T.
    Lindon Ventures 
    Data Science Consulting from Certified RapidMiner Experts
  • Telcontar120Telcontar120 RapidMiner Certified Analyst, RapidMiner Certified Expert, Member Posts: 1,635 Unicorn
    Solution Accepted
    Just put the Vote operator in your process and then click on the link for the tutorial process in the help.
    Brian T.
    Lindon Ventures 
    Data Science Consulting from Certified RapidMiner Experts
  • Telcontar120Telcontar120 RapidMiner Certified Analyst, RapidMiner Certified Expert, Member Posts: 1,635 Unicorn
    Solution Accepted
    To clarify further, the Help menu is context driven, it will reflect the currently selected operator.  The screenshot you have shared indicates you have no operator highlighted (shown in orange outline instead of black) and so it is just the default help for the entire process.
    Brian T.
    Lindon Ventures 
    Data Science Consulting from Certified RapidMiner Experts

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