Comment by clickety_clack

It took me a second to figure out what these are showing because I usually fit plots to data and the “low error” areas are the areas where, if there was a datapoint, it would be in an area where there would be a wide confidence interval, ie low confidence and more likely to be high error in the model.

The dark areas in the plot seem to be the features driving the shape of the plots. That means that these would be the areas the plotter should be most sure about, otherwise the plot would have a different shape. The bright “low error” areas are the areas where the model seems least likely to be correct.

I might be missing an interpretation that makes much more sense, but I think “error” might be the wrong terminology to use here. It doesn’t just mean “difference between A and B”, it includes some idea of being a measure of wrongness.