Solved – Is SVM-RFE a “filter” or a “wrapper” feature selection algorithm

I am wondering whether SVM based recursive feature elimination (Guyon et al., 2000) would be considered a filter or a wrapper method.

On the one hand, it "wraps" around an SVM to get the lowest-weight features.
On the other hand, the trained model is never applied to any test set.

What do you think?

SVM-RFE is a wrapper because it features training a classifier.
Filters use some other criteria (mostly dependence tests) and the only classifier trained is the final one, built on the selected features.

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