plot.model_performance_explainer outliers' labels depend on the order of model input

[12tafran]

Hi,

Following the example on https://pbiecek.github.io/DALEX/reference/plot.model_performance_explainer.html , if you rearrange the order of arguments from plot(mp_rf, mp_glm, mp_lm, geom = "boxplot", show_outliers = 1) to plot(mp_glm, mp_lm, mp_rf, geom = "boxplot", show_outliers = 1), you will get a graph where the outliers don't match the model.

It seems like we have to input the models best to worst in terms of root mean square of residuals for it for the outliers' label to match the model.