R-squared can help you answer the question "How does my model perform, compared to a naive model?". However, r2 is far from a perfect tool. Probably the main issue is that every data set contains a certain amount of unexplainable data. R-squared can't tell the difference between the explainable and the unexplainable , so it will go on, and on, trying to perfect its goal. If you keep on "perfecti…
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