Machine learning vs heuristics: when do simple rules win?
The question is about Machine Learning .
Simple rules beat machine learning when the decision logic is stable, the inputs are few, and someone can audit a wrong answer by reading the rule that produced it. The clearest example is the 2009 Netflix Prize: the winning entry improved recommendation accuracy by 10.06%, yet Netflix never put it into production because running an ensemble of over 100 models cost more to maintain than the accuracy gain was worth.
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