Binary Classification on Heart
93.08Mean AUCTT-SPARSE
Evaluation results
| Method | Links | ||||||
|---|---|---|---|---|---|---|---|
| TT-SPARSE2026.03 | 93.08 | — | — | — | 1,115 | — | |
| TabM2026.03 | 92.36 | — | — | — | — | — | |
| LightGBMcross-validation=5-fold nested2025.12 | 91.6389 | — | — | — | — | — | |
| XGBoostcross-validation=5-fold nested2025.12 | 91.5556 | — | — | — | — | — | |
| RuleFit2026.03 | 91.51 | — | — | — | 3,416 | — | |
| GLRM2026.03 | 91.49 | — | — | — | 396 | — | |
| Random Forestcross-validation=5-fold nested2025.12 | 91.4722 | — | — | — | — | — | |
| SVMcross-validation=5-fold nested2025.12 | 91.2778 | — | — | — | — | — | |
| SSV-oriented Chipclasscross-validation=5-fold nested2025.12 | 90 | — | — | — | — | — | |
| kNNcross-validation=5-fold nested2025.12 | 89.0139 | — | — | — | — | — | |
| ResNetcross-validation=5-fold nested2025.12 | 88.5556 | — | — | — | — | — | |
| Classy2026.03 | 87.49 | — | — | — | 312 | — | |
| DWN2026.03 | 87.19 | — | — | — | 47,420 | — | |
| NeuRules2026.03 | 86.63 | — | — | — | 1,009 | — | |
| RRL2026.03 | 86.61 | — | — | — | 2,910 | — | |
| RL-Net2026.03 | 83.01 | — | — | — | 6,410 | — | |
| GOSDT2026.03 | 81.4 | — | — | — | 20 | — | |
| (4,1)-Beta ShapleySemivalue=(4,1)-Beta Shapley2025.02 | — | — | — | — | — | 0.16 | |
| BanzhafSemivalue=Banzhaf2025.02 | — | — | — | — | — | 0.83 | |
| GL_GTime=1:34:44s2026.01 | — | 0.8751 | 0.0305 | 6.2244 | — | — | |
| GL_ITime=15:19s.982026.01 | — | 0.8529 | 0.0319 | — | — | — | |
| GL_MTime=1:19:41s2026.01 | — | 0.8717 | 0.035 | 51.0889 | — | — | |
| GL_QTime=1:18:44s2026.01 | — | 0.8705 | 0.0349 | 13.0132 | — | — | |
| L1RTime=0:02s.202026.01 | — | 0.8612 | 0.0512 | — | — | — | |
| L2RTime=0:04s.912026.01 | — | 0.872 | 0.0408 | — | — | — | |
| MKLTime=1:10:12s2026.01 | — | 0.8738 | 0.0422 | — | — | — | |
| ShapleySemivalue=Shapley2025.02 | — | — | — | — | — | 0.16 | |
| SVCTime=0:08s.662026.01 | — | 0.8611 | 0.0372 | — | — | — |