Predictive Modeling on MIMIC-IV (train)
4.306Mean Negative Log-Likelihood (NLL)ACNet(8,8)/I4
Evaluation results
| Method | Links | ||
|---|---|---|---|
| ACNet(8,8)/I4|θ|=1302026.05 | 4.306 | — | |
| ACNet(4,4)/I4|θ|=702026.05 | 4.308 | — | |
| ACNet(4,4,4)/I4|θ|=902026.05 | 4.308 | — | |
| Gen-AC-Fourier_3.6k|θ|=3,6222026.05 | 4.489 | — | |
| Gen-AC-Fourier-R_260|θ|=2602026.05 | 4.707 | — | |
| Gen-AC-Fourier_260|θ|=2602026.05 | 4.828 | — | |
| Gen-AC_1.1k|θ|=1,1422026.05 | 4.912 | — | |
| ACOPULANesting=Clayton/Clayton2026.05 | 4.951 | 337,580.6 | |
| Clayton/Clayton|θ|=82026.05 | 4.951 | — | |
| ACOPULANesting=Frank/Frank2026.05 | 5.066 | 345,400.4 | |
| Frank/Frank|θ|=82026.05 | 5.066 | — | |
| AMH/Clayton‡|θ|=82026.05 | 5.161 | — | |
| ACOPULANesting=Gumbel/Gumbel2026.05 | 5.224 | 356,182.7 | |
| Gumbel/Gumbel|θ|=82026.05 | 5.224 | — |