[scikit-learn] SVM-RFE

Brown J.B. jbbrown at kuhp.kyoto-u.ac.jp
Mon Nov 25 06:34:39 EST 2019

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...?)

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