Binary Classification on 4DBInfer (test) benchmark leaderboard · SOTA2 Research

Binary Classification on 4DBInfer (test)

0.7944AUROC (AB Churn)RelAgent

Evaluation Results

Method	Links
RelAgent2026.07		0.7944	0.6263	0.8635	0.8945	—	—	0.8903	1.4
RDBLearn (v1.1)2026.07		0.785	0.6376	0.8906	0.8786	—	—	0.8869	2.2
RandGNN2026.07		0.7742	0.4929	0.6621	0.6106	—	—	0.7741	6.8
RDBLearn2026.04		0.7741	0.5447	0.8469	0.8845	0.8796	0.786	—	—
HGT2026.04		0.773	0.626	0.8495	0.8817	0.867	0.7994	—	—
KumoRFM-22026.04		0.7706	0.6197	0.8436	0.885	0.8792	0.7996	—	—
KumoRFM-22026.07		0.7706	0.6197	0.8436	0.885	—	—	0.8792	3.9
PNA2026.04		0.7645	0.6249	0.8367	0.8896	0.8664	0.7964	—	—
GAT2026.04		0.7622	0.6146	0.8284	0.8853	0.8645	0.791	—	—
GraphSAGE2026.04		0.7571	0.6239	0.847	0.8861	0.8558	0.794	—	—
GraphSage2026.07		0.7571	0.6239	0.847	0.8861	—	—	0.8558	3.8
KumoRFM-12026.04		0.7559	0.6111	0.8436	0.8892	0.8787	0.7917	—	—
KumoRFM-12026.07		0.7559	0.6111	0.8436	0.8892	—	—	0.8787	4.3
RDB-PFN2026.07		0.7338	0.5259	0.7812	0.856	—	—	0.855	6.2
DFS+AutoGluon2026.04		0.7291	0.5494	0.8008	0.8849	0.8396	0.7608	—	—
DFS+XGBoost2026.04		0.6922	0.5421	0.7906	0.8675	0.8251	0.7435	—	—
Griffin2026.07		0.5332	0.5222	0.3992	0.7166	—	—	0.7218	7.8
XGBoost2026.04		0.5	0.5	0.5	0.4968	0.5084	0.501	—	—
AutoGluon2026.04		0.5	0.4969	0.5096	0.5081	0.5	0.5029	—	—
XGBoost2026.07		0.5	0.5	0.5	0.4968	—	—	0.5084	8.6