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More intuitive scoring argument for loss and error  #5023

@arjoly

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@arjoly

Using the grid search meta-estimator with the "mean_square_error", the "mean_absolute_error", the "median_absolute_error" or the "log_loss" as scoring parameters leads to the negation of those metrics. This is confusing especially for new users.

I suggest that we prefix those strings by "neg-" or "negative_". This would make clear from the start that the score is obtained from the negation of the loss / error.

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