Although current Hyper-parameters used in Model Screening are not bad, for the most part, I have found that for many of the problems that I have tried, some models don't perform very well. I have to run them individually to fine-tune the hyper parameters.
For example, in tree based I usually have to adjust max splits,sample rate, number of terms sampled and minimum size split.
