[scikit-learn] SVM-RFE

Malik Yousef malik.yousef at gmail.com
Mon Nov 25 10:50:32 EST 2019

It does not provide access for tracing the step by step feature weights and
predictive ability- The user provides the n_feature.


*Prof. Malik Yousef (Associate Professor)  *
*The Head of the** Galilee Digital Health Research Center (GDH)*

*Zefat Academic College , Department of Information System  *
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On Mon, Nov 25, 2019 at 1:36 PM Brown J.B. via scikit-learn <
scikit-learn at python.org> wrote:

> 2019年11月23日(土) 2:12 Andreas Mueller <t3kcit at gmail.com>:
>> I think you can also use RFECV directly without doing any wrapping.
>> Your request to do performance checking of the steps of SVM-RFE is a
>> pretty common task.
> Yes, RFECV works well (and I should know as an appreciative long-time user
> ;-)  ), but does it actually provide a mechanism (accessors) for tracing
> the step by step feature weights and predictive ability as the features are
> continually reduced?
> (Or perhaps it's because I'm looking at 0.20.1 and 0.21.2
> documentation...?)
> J.B.
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