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The difference between these model types is not as strict as this may imply; some of the same techniques can be used for both, and usually one model can serve both purposes (though sometimes poorly). Sometimes much of the value of a predictive model is in the understanding gained from looking at it rather than in the predictions it makes.
Data Science for Business: What You Need to Know about Data Mining and Data-Analytic Thinking
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