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I have time domain data which is having binary label in form of 0 and 1. I applied FFT to all the features and label as well. The problem is my output label is now not binary anymore. How to solve this classification problem?

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If you are dealing with a classification problem, you should treat the $0$ and $1$ as labels.

The goal of FFT is to convert time domain to frequency domain.

You do not want to include the label as part of your FFT procedure.

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  • $\begingroup$ Thanks for your response. I figured it out that i need to apply fft on a vector of values of same class. Is this the right procedure? $\endgroup$ Commented Apr 29, 2019 at 4:35
  • $\begingroup$ can't tell for sure if something is the right procedure in data science as it is a broad area, give it a try and see the outcome? $\endgroup$ Commented Apr 29, 2019 at 9:40
  • $\begingroup$ Yeah i did and now i am preserving some information. Thanks for your inputs. $\endgroup$ Commented Apr 29, 2019 at 9:45

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