A reproducible, data-centric benchmarking framework evaluating the robustness of tabular machine learning models under systematic feature shift using OpenML-CC18 datasets and automated feature engineering.
benchmarking automated-feature-engineering wilcoxon-test data-centric-ai distribution-shift model-reliability tabular-machine-learning feature-shift openml-cc18 wilcoxon-signed-rank-test
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Updated
Jul 1, 2026 - Jupyter Notebook