I have three outputs, each with a different unit. I am searching for an error estimator with the help of which I can select the most suitable Neural Network configuration. I will have to compute the training error as well as the testing error.

With one output, any error estimator (like MAPE or RMSE) would have done the job, but I am confused what will be the best suited for this case as I have three different outputs and I need one single number as the error to compare.

Will SSE be a good fit for it?

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