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# "XYValidation Model Profiling - Lift and Variable importance"

Hi all,

I would like to profile a cross-fold validation model using lift chart and variable importance. I haven't had luck figuring how to do so and hope I may get some help on the following -

- How do I generate betas coefficients or variable influence for algorithms such as SVM, similar to the betas in Logistic Regression?

- Is it possible to output standardized betas in Logistic Regression and other algorithms?

- How do I use the lift chart node? I haven't had success placing the lift chart node after model applier node, a chart pops up with the message : "No data points available (yet)"

- Is it possible to output a decile lift table?

Thanks in advance for your guidance!

Kind regards,

Alvin

I would like to profile a cross-fold validation model using lift chart and variable importance. I haven't had luck figuring how to do so and hope I may get some help on the following -

- How do I generate betas coefficients or variable influence for algorithms such as SVM, similar to the betas in Logistic Regression?

- Is it possible to output standardized betas in Logistic Regression and other algorithms?

- How do I use the lift chart node? I haven't had success placing the lift chart node after model applier node, a chart pops up with the message : "No data points available (yet)"

- Is it possible to output a decile lift table?

Thanks in advance for your guidance!

Kind regards,

Alvin

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## Answers

1,751RM FounderThey already are output of the logistic regression? And as far as I know, it is not possible to calculate those "beta"-values for other algorithms. But if you are able to explain the algorithm we could of course integrate something like that.

Try it before. Here is a setup inside of a cross validation: Currently not, sorry.

Cheers,

Ingo