Classification on breast-w
0.998ROC-AUCBayesian TPNN
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| Bayesian TPNNModel interpretability=Interpretable model2025.10 | 0.998 | — | — | |
| ANOVA TPNNModel interpretability=Interpretable model2025.10 | 0.998 | — | — | |
| XGBModel interpretability=Blackbox model2025.10 | 0.995 | — | — | |
| FeatLLMfolds=52026.02 | 0.994 | — | — | |
| OpenFEfolds=52026.02 | 0.993 | — | — | |
| AutoFeatfolds=52026.02 | 0.993 | — | — | |
| CAAFE2026.04 | 0.992 | — | — | |
| LLMFE2026.04 | 0.992 | — | — | |
| MALMAS2026.04 | 0.992 | — | — | |
| CAAFEfolds=52026.02 | 0.99 | — | — | |
| Baselinefolds=52026.02 | 0.989 | — | — | |
| FAMOSEfolds=52026.02 | 0.989 | — | — | |
| Base2026.04 | 0.989 | — | — | |
| AutoFeat2026.04 | 0.989 | — | — | |
| DFS2026.04 | 0.988 | — | — | |
| OpenFE2026.04 | 0.988 | — | — | |
| OCTree2026.04 | 0.986 | — | — | |
| mBNNModel interpretability=Blackbox model2025.10 | 0.978 | — | — | |
| BARTModel interpretability=Blackbox model2025.10 | 0.977 | — | — | |
| NAMModel interpretability=Interpretable model2025.10 | 0.976 | — | — | |
| LinearModel interpretability=Interpretable model2025.10 | 0.922 | — | — | |
| KNEn=683, Repeats=302026.05 | — | 97 | 95.9 | |
| KNUn=683, Repeats=302026.05 | — | 97.1 | 96.4 | |
| Path-based Adaptive Weightingn=683, Repeats=302026.05 | — | 97.1 | 96.5 | |
| Random Forestn=683, Repeats=302026.05 | — | 97.1 | 96.5 | |
| Weighted Random Forestn=683, Repeats=302026.05 | — | 97.1 | 96.4 |