I'm dealing with a regression prediction challenge where the evaluation metric is (pearson) correlation.However, I have the impression that this metric is kind of arbitrary.While I can keep the RMSE stable the correlation can have great variety.Could someone please explain this metric and how to optimise for it?
Correlation as an evaluation metric for regression
machine learning;predictive modeling;correlation;evaluation