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Results +/- Error notation

noritanorita Member Posts: 28 Contributor I
Hi,

It's a bit a picky question but I wanted to make sure that I understood right.

In case of results of the binary classification performace operator, when crossvalidation is applied,

A result is for example denoted as AUC 0.569 +/- 0.074.

Are the errors noted after +/- the standard error or the 0.95-CI?

In a course I learned that both exists so thats why I am asking.

Best

Nora

Best Answer

  • mschmitzmschmitz Administrator, Moderator, Employee, RapidMiner Certified Analyst, RapidMiner Certified Expert, University Professor Posts: 3,042  RM Data Scientist
    Solution Accepted
    Hi,
    it's 1sigma level, so 68.3% CL or something.

    Best,
    Martin
    - Head of Data Science Services at RapidMiner -
    Dortmund, Germany
    norita

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