A trained MLP can be rewritten as a sparse additive model of one- and two-variable effects, called a Partial Response Network, with no loss in classification accuracy on benchmark tabular data.
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The Partial Response Network: a neural network nomogram
A trained MLP can be rewritten as a sparse additive model of one- and two-variable effects, called a Partial Response Network, with no loss in classification accuracy on benchmark tabular data.