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thePedrix t1_ist0fv6 wrote

I can’t be sure that it would work, but I would try this:

-PCA for N components

-Plot a graph with the 2 or 3 first principal components (depending on the cumulative explained variance, if 2 is enough, a 2D plot)

-Plot the magnitude of the variables and see which are the most impactful. Pick the X features you want.

-Train the network with those X features.

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