How to select an optimal features subset using fscmrmr ?

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Alberto Azzari
Alberto Azzari le 27 Jan 2021
Commenté : Ive J le 30 Jan 2021
Hi, I'm trying to use mrmr in order to select features representing neural connection (80 object and 3570 features). Once I obtained the rank, how can I select an optimal subset of them without a brute force approach (trying to classify using 10/20/30... features per time)?
  1 commentaire
Ive J
Ive J le 30 Jan 2021
You simply can't, fscmrmr ranks predictors/features. One better way would be to use a couple of other feature selection approaches and decide based on their union (although it poses other complexitieis, but should give a good starting point): https://www.mathworks.com/help/stats/feature-selection.html
Also, I don't think feature selection methods (even approaches like fscnca) guarantee an accuracy improvment of your classification/regression ML problem.

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