On 09/07/2015 06:03 AM, Stylianos Kampakis wrote: > > The interpretation of R^2 is less useful for machine learning models. > For example, Weka omits it all together for regression models. A > useful alternative is to simply use the correlation between the true > and the predicted values. Can you explain this? Why do you think it is not useful?
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