I would like to calculate feature importance for a SVM classifier, e.g. by using the metric "mean decrease accuracy".
This means I need to know how the accuracy of my classifier (calculated by cross validation) changes if I leave out features one by one.
I found functions for classification trees, but nor for SVM. How could I calculate this for SVMs?
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