Extended Data Fig. 5 |. EXPRESS improves feature attributions of deep learning models.

Comparison of feature discovery performance between individual deep learning models (gray) and ensembles of deep learning models (red) across all 12 dataset types from the synthetic benchmark. Three separate feature attribution methods are tested for each model: DeepLift, Integrated Gradients, and SHAP (in this case implemented as global attributions using the SAGE software package).