I was thinking about feeding the prediction of the model back to a correlation node (linear in this case) and then use the absolute value of the correlation to determine the strongest correlations towards the predicted Target.
The data is from a Kaggle competition (https://www.kaggle.com/c/bnp-paribas-cardif-claims-management) with some transformations and only 500 random cases. So the numbers are just there to demonstrate the nodes. The calculation can be quite costly.
kn_example_mlp_model.knwf (1.3 MB)