Getting scores from a classifier, not just the 0/1 result?

[Roger Bohn]

When running a classification, such as logistic regression, is there an
option to extract the score (pseudo-probability) for each observation?
All I’m aware of is getting the actual predicted classification (yes
or no).
I want to demonstrate where the ROC curve comes from, and how to use
a cutoff other than 50%.

Thanks!


Prof. Roger Bohn
Associate Dean, School of Global Policy and Strategy
UC San Diego
+1 858 381-2015 cell/text

On 6 Apr 2016, at 9:42, ramkumar nimmakayala wrote:

> Hi Folks,
>
> I am kind of new to using rattle as my background so far has been with
> Sas.
> Just wondering how can I use PCA output as an input to another
> modelling
> process like cluster analysis. Appreciate if some one can help me with
> this.
>
> Thanks
> Ram
>
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