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Predictive models are statistical models whose primary purpose is to predict other observations of a system optimally, as opposed to models whose purpose is to test a particular hypothesis or explain a phenomenon mechanistically. As such, predictive models place less emphasis on interpretability and more emphasis on performance.

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Continuity assumption in Machine Learning

It is clear that in the case of neural-networks-based models, we rely on continuity assumption of the underlying function $f$ that we are trying to approximate with our network given the universal app …
James Arten's user avatar