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weather forecasters have two simple — but not simplistic — baseline models that they compare against. One (persistence) predicts that the weather tomorrow is going to be whatever it was today. The other (climatology) predicts whatever the average historical weather has been on this day from prior years. Each model performs considerably better than random guessing, and both are so easy to compute that they make natural baselines of comparison. Any new, more complex model must beat these.
Data Science for Business: What You Need to Know about Data Mining and Data-Analytic Thinking
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