Neural Network Size

Ok, very good. Then the Fourier transform can be a powerful tool for feature engineering.

Here some threads that might be interesting for you:

In the 2nd link, also a residual analysis (per feature) is described. Often this makes sense to evaluate whether or not you still have systematic patterns left that you could potentially exploit in your feature engineering: In a perfect world you would just see some random (Gaussian) distribution in your residua and no systematic patterns.

Also a feature importance analysis like SHAP (SHapley Additive exPlanations) can be a powerful tool in your feature engineering process.

Happy learning and good luck with your project!

Best regards

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