IEEE-CIS
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Background SHAP | IEEE-CIS | Runtime3 | 34 | |
| Sensitive-escalation deferral-advice | IEEE-CIS (val) | True Deferral-Advice Loss0.26 | 30 | |
| Fraud Detection | IEEE-CIS | F182 | 21 | |
| Partial Dependence Plot (PDP) | IEEE-CIS | Runtime3.3 | 19 | |
| Financial Fraud Detection | IEEE CIS | AUROC97 | 18 | |
| Node Classification | IEEE-CIS-G | Accuracy/F1 Score89.92 | 18 | |
| Background SHAP Interaction Values | IEEE-CIS 10,000 samples | Runtime (sec)2.2 | 16 | |
| Classification | ieee-cis t-fraud | AUC92.6 | 11 | |
| Path-Dependent SHAP | IEEE-CIS | Runtime (sec)0.9 | 10 | |
| Joint Partial Dependence Plot (Joint-PDP) | IEEE-CIS | Runtime10.2 | 7 | |
| Fraud Detection | IEEE-CIS (test) | AUC94.06 | 7 | |
| Any-Order Partial Dependence Interdependence Values (Any-Order-PDIVs) | IEEE-CIS | Runtime (sec)2.9 | 6 | |
| Financial Fraud Detection | IEEE-CIS (out-of-time evaluation) | AUC-ROC0.9289 | 5 | |
| Classification | IEEE-CIS | AUC0.9252 | 4 | |
| Binary Classification | IEEE-CIS | Speedup1.42 | 1 |
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