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How can I rebuild the 100% Accuracy, from AutoModel, on the Iris Dataset with GLM or SVM? (RS 9.1)

geb_hartgeb_hart Member Posts: 5 Contributor I
edited October 2019 in Help
I only reach up to 96% and Im believing rapidminer does that via putting wheigts to the process? Or probably something different?

Thx for your Comments
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  • MartinLiebigMartinLiebig Administrator, Moderator, Employee-RapidMiner, RapidMiner Certified Analyst, RapidMiner Certified Expert, University Professor Posts: 3,533 RM Data Scientist
    Hi,
    Are you sure that this is not just because of a lucky split?
    BR,
    Martin
    - Sr. Director Data Solutions, Altair RapidMiner -
    Dortmund, Germany
  • geb_hartgeb_hart Member Posts: 5 Contributor I
    edited December 2018
    I get the same results every time i try.. 100% for Generalized Linear Model, Deep Learning and SVM

    AutoModel on Iris Dataset, no adjustments ... (Am I the only one? :#)
  • IngoRMIngoRM Employee-RapidMiner, RapidMiner Certified Analyst, RapidMiner Certified Expert, Community Manager, RMResearcher, Member, University Professor Posts: 1,751 RM Founder
    Hi,
    Martin is correct.  A random subset of the data is used for validation and if this subset is "easy" to be predicted, the accuracy can be a bit better than what you would get with a different data split or validation scheme.
    Best,
    Ingo
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