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Probability of prediction column in a binary classification problem.

SA_HSA_H Member Posts: 29 Contributor II
edited October 2019 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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    varunm1varunm1 Moderator, Member Posts: 1,207 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). 


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    MartinLiebigMartinLiebig Administrator, Moderator, Employee, RapidMiner Certified Analyst, RapidMiner Certified Expert, University Professor Posts: 3,525 RM Data Scientist
    confidences are not probabilities, but correlated. To get something way closer to propabilities we recommend to use Rescale Confidences (Logistic), which uses Platt Scaling. 
    - Sr. Director Data Solutions, Altair RapidMiner -
    Dortmund, Germany
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    SA_HSA_H Member Posts: 29 Contributor II
    edited October 2019
    Thank you,
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