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by data_scientist
3624 days ago
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My main issue with R^2 is that it is an artificial indicator. It has no business meaning. The best alternative is to build a metric that is related to your business issue. How many $ do you loss if you're wrong by 1%? Or by 10 units? Do your business loss is linear in your error? Is it symmetrical? These are the kind of questions you have to ask yourself. Defining a metric is hard, and there is no good shortcut. |
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