Combining performance mesasures

ozgeozyazar
New Altair Community Member
hi !
ı am using cross validation and try to measure the performance of model. I need both classification and binomial performance results but I do not know now to combine them.
Could you please help me ?
ı am using cross validation and try to measure the performance of model. I need both classification and binomial performance results but I do not know now to combine them.
Could you please help me ?
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Best Answer
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Hello @ozgeozyazar
Simple way is to use a multiply operator inside testing part of CV. Connect the apply model output to multiply and you can use the outputs of multiply operators to connect to the two performance operators.
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Answers
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Hello @ozgeozyazar
Simple way is to use a multiply operator inside testing part of CV. Connect the apply model output to multiply and you can use the outputs of multiply operators to connect to the two performance operators.
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Another way is to connect the performance output of one operator to the input of another performance operator. This creates a combined performance output. All the performance operators allow you to do this. Then you don't even need the Multiply operator.2
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Hi,
Just because i ran into this: Are there more people around who want to change the main criterion of a performance vector after building it like @Telcontar120 described it? I ran into this like 3 times and i am close to add a new operator to Toolbox.
There is a 3 line groovy solution though.
BR,
Martin3 -
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@mschmitz an operator sounds useful but also not a problem that personally I have faced very often in this setup---but sometimes in optimization scenarios it is also useful to be able to change the main performance criterion.1