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"How to convert confidence attribute to probabilty?"

komeil_shaeri
komeil_shaeri Member Posts: 13 image Contributor II
edited June 2019 in Help

Hi, 

I wondering how can I get probabilty of having Yes or No instead of confidence attribute in classification models. In other words, I need to get the probability of each instance (example) becoming Yes or No. I have tried "Generate Attribute" but I couln't get it. 

 

Thanks, 

Komeil

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Answers

  • MartinLiebig
    MartinLiebig Administrator, Moderator, Employee-RapidMiner, RapidMiner Certified Analyst, RapidMiner Certified Expert, University Professor Posts: 3,533 image RM Data Scientist

    Hi,

     

    the confidence can be interpreted as a propability. It's a value between 0-1 which sums up to one for all classes. So what do you want to have otherwise?


    ~Martin

    - Sr. Director Data Solutions, Altair RapidMiner -
    Dortmund, Germany
  • komeil_shaeri
    komeil_shaeri Member Posts: 13 image Contributor II

    Do all the instances have the same probability of 0% and 100%? Of course not. Some of them are marginally classified into a group but the others are becoming part other groups with very high probabilities. There should be way to find the exact  probabilities for each instance ...  

    Thanks,

  • MartinLiebig
    MartinLiebig Administrator, Moderator, Employee-RapidMiner, RapidMiner Certified Analyst, RapidMiner Certified Expert, University Professor Posts: 3,533 image RM Data Scientist

     

    Sorry, but i do not get your point.

    They get confidence according to the properties. The confidence is as exact as a double can be. Do you confuse prediction and confidence?

     

    ~Martin

    - Sr. Director Data Solutions, Altair RapidMiner -
    Dortmund, Germany
  • komeil_shaeri
    komeil_shaeri Member Posts: 13 image Contributor II

    The problem is solved. It was interesting because in one data set, confidence attributes are just 1.00 and 0.00 but in another data set there are lots of variations in the numbers (e.g. 0.755 and 0.245). 

     

    Thanks,

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