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I'm working on re-implementing the relative mean-squared error (MSE) metric as described in your paper. However, I'm having difficulty finding a clear, universally accepted definition of relative MSE in this context. Could you please provide the exact formula you used to calculate these values?
Specifically, is the relative MSE calculated as:
MSE(y_pred, y_true) / MSE of y_true against a baseline (like mean pred, last pred or zeros)
MSE(y_pred, y_true) / Variance(y_true)
MSE(y_pred, y_true) / ||y_true||₂
||y_true - y_pred||₂ / ||y_true||₂
Something else?
Thanks!
The text was updated successfully, but these errors were encountered:
Hi @NickGeneva! Thanks for the nice work!
I'm working on re-implementing the relative mean-squared error (MSE) metric as described in your paper. However, I'm having difficulty finding a clear, universally accepted definition of relative MSE in this context. Could you please provide the exact formula you used to calculate these values?
Specifically, is the relative MSE calculated as:
Thanks!
The text was updated successfully, but these errors were encountered: