Combining performance mesasures

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 ?

Find more posts tagged with

AI Studio

Accepted answers

varunm1

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.

All comments

varunm1

ozgeozyazar

@varunm1

Yes Sir,

It definately works.

Thanks so much

Telcontar120

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.

MartinLiebig

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,
Martin

varunm1

Till I saw @Telcontar120 solution, I am not aware that we can do this way. This is useful.

Telcontar120

@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.