why classification and not estimation ? what does this Q mean ?

CelineSCelineS Member Posts: 6 Newbie
edited August 2020 in Help
hi everyone, 
   I was asked to use RapidMiner predictive processes such as DT, KNN, Naive Bay for hold out classification, cross-validation, and stacking and voting. 

In the report, I was asked to explain '' why classification and not estimation and what this would mean in the business context ? )  



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    MartinLiebigMartinLiebig Administrator, Moderator, Employee, RapidMiner Certified Analyst, RapidMiner Certified Expert, University Professor Posts: 3,517 RM Data Scientist
    Well, this depends on your business context. My tip would be to think about how the additional information of estimation helps you. If it does not help you, then why go for something harder?

    - Sr. Director Data Solutions, Altair RapidMiner -
    Dortmund, Germany
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