Machine learning vs statistical modeling: which is more interpretable?
The question is about Machine Learning .
Statistical modelling is more interpretable. It produces clear formulae or coefficients that can be examined directly, helping users understand each result or prediction transparently. Many machine learning methods (especially complex or ensemble models) act as “black boxes,” making their reasoning less transparent.
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