Models do not perform well for full range of outcomes

[rikhuijzer]

It looks like there is a sort of balancing issue. The following is an image on SIRUS 1.1.2, but the same occurs on 1.3.0:

It looks like the model optimizes for one area and not for another. I still suspect this is an issue with the choice of weights. Something is causing the weights to be not chosen properly which then causes sub-optimal classification predictions and poor regression predictions.