I have two devices that measure the same object, but they give slightly different results.
The result is always a set of 3 double values, but the actual values differ in a non linear way between the two devices. My question is; should I use an algorithm to convert a measurement from device A to B, and if so, which type of algorithm, or should I use machine learning to create a model that converts values from device A to B?
The double values range from -100 to 100 and each measurement is a set of three doubles.
I have a (limited) dataset available with 24 measurements from both devices.
What would be the best approach? Are there models/algorithms out there that could do a conversion?
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