Before revision:  Aggregating our results by model dimensionality and experimental design size  , we identify combinations of methods that are most promising for the specific problem class .
After revision:  Aggregating our results by model dimensionality and experimental design size ), we are able to identify specific sparse solver and basis adaptivity combinations for each class that show comparatively good performance. To further improve on these findings , we identify combinations of methods that are most promising for the specific problem class .