Can we get negative mean square error?
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I am getting negative mean square error, while training a SVM model. What is confusing me is that, squared errors should not be negative, is this any bug or is it something that I am missing?

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I would view it to be a bug, but it's possible that MSE is calculated with constant terms dropped. That is, if MSE has the general form,
MSE(θ) = 
the
term is independent of the design parameters θ and can therefore be dropped without affecting optimization. This would allow negative values.
Soumyabrata Bhattacharjee
2022-7-7
the cyclist
2022-7-7
Are you able to post the data, and the model that gave negative MSE? I know that sometimes R^2 can be negative (when constructed in certain ways for an ML model), but I am also surprised to get MSE negative.
Soumyabrata Bhattacharjee
2022-7-12
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