Numerical experiments show that the proposed explainable GAMI-Net enjoys superior interpretability while maintaining competitive prediction accuracy in comparison to the explainable boosting machine and other benchmark machine learning models.
Authors
Zebin Yang
1 papers
Aijun Zhang
1 papers
A. Sudjianto
1 papers
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