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

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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Accepted answers

MartinLiebig

Hi,
auto model got fixed seeds, to ensure the same results. I would recommend to change the seed in the AM process in the Split Data operator.
BR,
Martin

All comments

MartinLiebig

Hi,
Are you sure that this is not just because of a lucky split?
BR,
Martin

geb_hart

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?

)

MartinLiebig

Hi,
auto model got fixed seeds, to ensure the same results. I would recommend to change the seed in the AM process in the Split Data operator.
BR,
Martin

IngoRM

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