HUGIML OpenML-CC18 Benchmark Dashboard
Official OpenML train/test indices, fold-local model selection, predictive performance, and model-inspection evidence.
Overall model comparison
Performance, ranks & runtime
HUGIML inspection efficiency — baseline / HUGIML
Ratios are baseline model inspection units divided by HUGIML model inspection units, on tasks where HUGIML AUC is within tolerance.
Model inspection units versus AUC
The x-axis is logarithmic when every displayed inspection value is positive.
Dataset explorer
Dataset-level metric comparison
Each row compares ROC-AUC, balanced accuracy, and F1 for the same OpenML task. Bold marks the best score; italics mark the second-best score. Ranking is based on the displayed four-decimal values, so displayed ties receive identical styling.