How to convert normalized output into standard values

I have applied min max normalization before apply neural network prediction in R . After getting normalized output, How to convert normalized output into standard values


Definitely easier to help if you have a reprex for us (FAQ: How to do a minimal reproducible example ( reprex ) for beginners ).

In general, you will just save that min and max value and before training and reverse the transformation on the output values in the specified way to get back to your range. See discussion here: python - How to recover original values after a model predict in keras? - Stack Overflow

Thanks a lot , it helped.

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Great :slight_smile: If it solved your problem sufficiently feel free to mark it as the solution.

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