Multi-class Classification on Bayesian Network variable D3 benchmark leaderboard · SOTA2 Research

Multi-class Classification on Bayesian Network variable D3

79.16Macro F1 ScoreDiff-Joint

Evaluation Results

Method	Links
Diff-Joint2026.06		79.16	86.01	77.48	84.72
Diff-Joint2026.06		79.16	86.25	77.48	84.72
Diff-Joint2026.06		78.89	85.91	77.17	84.65
Diff-Joint2026.06		75.13	86.42	72.73	83.15
missForest2026.06		41.74	52.94	36.38	62.27
Mean/Mode2026.06		41.74	52.83	36.38	62.27
missForest2026.06		41.74	52.88	36.38	62.25
Mean/Mode2026.06		41.69	52.92	36.32	62.23
CMAE2026.06		41.66	56.51	36.26	62.23
DiffPuter2026.06		41.62	53.33	36.23	62.23
DiffPuter2026.06		41.59	53.68	36.21	62.18
DiffPuter2026.06		41.45	53.98	36.04	62.13
DiffPuter2026.06		41.44	55.33	36.03	62.1
Mean/Mode2026.06		41.21	53.21	35.76	62
missForest2026.06		40.97	53.23	35.49	61.88
CMAE2026.06		40.88	54.82	35.12	62.25
CMAE2026.06		39.83	63.21	33.43	62.23
CMAE2026.06		38.85	56.64	32.54	61.42
Mean/Mode2026.06		35.27	53.15	28.83	59.69
missForest2026.06		34.76	52.96	28.24	59.42