[DeepGOF] Where Does a Logistic Risk Model Fail? An Audited Neural Goodness-of-Fit Test for Model Development and External Validation

arXiv:2609.29575 · stat.ME, stat.CO, stat.ML · Submitted 2026-08-26 · Read on arXiv

stat.ME, stat.CO, stat.ML

Submitted: 2026-08-26

Updated: 2026-10-01

Comments: 27 pages, 7 figures, 8 tables; supplement 47 pages. Code, network weights and every per-replicate result: doi:10.5281/zenodo.23078640. R package ebrahim.gof on CRAN

Code: https://github.com/ebrahimkhaled/deepgof1

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Consistency — 17× in this paper · explained in 3 episodes
• Benchmark — 14× in this paper · explained in 2 episodes
• Calibration — 9× in this paper · explained in 7 episodes
• Accuracy — 2× in this paper · explained in 1 episode
• Adam — 1× in this paper · explained in 2 episodes
• Core — 1× in this paper · explained in 2 episodes
• External Validation — 1× in this paper · explained in 2 episodes
• Fidelity — 1× in this paper · explained in 2 episodes
• Generative AI — 1× in this paper · explained in 2 episodes
• Model-Agnostic — 1× in this paper · explained in 2 episodes
• Sparsity — 1× in this paper · explained in 4 episodes
• Verification — 1× in this paper · explained in 2 episodes

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