this post was submitted on 19 Jul 2023
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This always seems to happen in modelling.
Back in 2007 I was working on code on chemical spectroscopy that was supposed to "automatically" determine safe Vs contaminated product through ML models. It always worked ok for a bit then as parmetrs changed (hotter day, new precursor) so you retrain model, the model would extend and just break down.