AUROC and AUCPR are threshold-free ranking metrics. Balanced Accuracy, F1 and MCC are evaluated at each scoring function's published decision threshold, or at the data-driven optimal threshold (Youden's J statistic) when no threshold was published (applies to Voronota only). A row submitted via "Submit new predictions" below is instead evaluated with a declared, leakage-safe cross-validation procedure (see that section) and is appended here, clearly labeled, rather than shown in a separate table.

Each participant's per-metric quartile/cluster rank, computed independently for each of the 5 performance measures over the current set of participants (higher value is better for all 5 metrics). Follows the same Classification Method currently selected in the chart above (Square quartiles, Diagonal quartiles, or K-Means clustering): Square and Diagonal quartiles reduce to the same percentile-based split for a single metric (the 2D "distance-to-corner" score diagonals uses is just the metric's own normalized value when there is only one axis); K-Means runs real 1-D k-means (k=4) on each metric's values independently, grouping by natural breaks in the data rather than equal population percentiles, with clusters ranked by mean (Q1 = highest-performing cluster). Select "No classification" to hide this table, matching the chart's own behavior. Recomputed automatically whenever a submission is added or the Classification Method changes.