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Probability of prediction column in a binary classification problem.

summer_helmisummer_helmi Member Posts: 14 Contributor I
edited October 6 in Help
Using the (apply model operator) in the binary classification problem, the results exported in the form of the prediction column and confidences of being 0 or 1. Please I am wondering if there is an operator that can export  the probability (range from 0-1 such as 0, 0.1, 0.2, ...) or scores indicating the likelihood that a label comes from a particular class (0 or 1).
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Answers

  • varunm1varunm1 Moderator, Member Posts: 840   Unicorn
    Hello @summer_helmi

    Sorry, I am confused can you please explain in detail. The prediction confidences are similar to  probabilities, that shows the confidences of a particular class for a particular observation between 0 and 1. If the algorithm is really confident then it will assign 1 to related label (class). 


    Regards,
    Varun
    Rapidminer Wisdom 2020 (User Track): Call for proposals 

    https://www.varunmandalapu.com/
    mschmitz
  • mschmitzmschmitz Administrator, Moderator, Employee, RapidMiner Certified Analyst, RapidMiner Certified Expert, University Professor Posts: 2,156  RM Data Scientist
    Hi,
    confidences are not probabilities, but correlated. To get something way closer to propabilities we recommend to use Rescale Confidences (Logistic), which uses Platt Scaling. 
    Best,
    Martin
    - Head of Data Science Services at RapidMiner -
    Dortmund, Germany
    varunm1summer_helmiTghadially
  • summer_helmisummer_helmi Member Posts: 14 Contributor I
    edited October 6
    Thank you,
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