Figure 2. Generated models utilized in the final challenge submission.

( 2A) The ensemble consisted of five different models, M1 to M5, which ended up sharing many feature types even though they were individually generated under different conditions. ( 2B) All models made use of a similar number of parameters and achieved comparable performance in cross-validation. Performance further increased when using the model ensemble.