How to identify the Top 100 features selected from MLP model

KNIME Analytics Platform
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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 (BNP Paribas Cardif Claims Management | Kaggle) with some transformations and only 500 random cases. So the numbers are just there to demonstrate the nodes. The calculation can be quite costly.

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kn_example_mlp_model.knwf (1.3 MB)

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Edit: KNIME — Machine Learning and Artificial Intelligence — A Collection | by Markus Lauber | Low Code for Data Science | Medium