PS: Another thing worth thinking about as a hybrid solution would be to pick a technique based on how close an unknown sample is to a known sample. I.e. if it is within 'Q' serial number samples of a nearest neighbor, use polynomial approach, otherwise use simple linear interpolation. How to choose Q? And how to get enough new data
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