A regime-stratified benchmark of 196 tabular datasets shows that model rankings depend strongly on dataset characteristics such as sample size, feature correlation, and label imbalance.
Deep learning and the electrocardiogram: review of the current state-of-the-art.EP Europace, 23(8):1179–1191, 2021
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MultiTab: A Comprehensive Benchmark Suite for Multi-Dimensional Evaluation in Tabular Domains
A regime-stratified benchmark of 196 tabular datasets shows that model rankings depend strongly on dataset characteristics such as sample size, feature correlation, and label imbalance.