Classification on Iris (test)
100AccuracyXBNet
Evaluation results
| Method | Links | ||
|---|---|---|---|
| XBNet2021.06 | 100 | — | |
| XGBoost2021.06 | 97.7 | — | |
| FldzhyanMesh=4x4, Epochs=4002025.12 | 96.66 | — | |
| Fldzhyan BellMesh=4x4, Epochs=4002025.12 | 96 | — | |
| Random ForestInterpretable=No2026.03 | 95.6 | — | |
| Random ForestRules/Nodes=100 trees, Parameters=∼1000, Interpretable=No2026.03 | 95.6 | — | |
| ClementsMesh=4x4, Epochs=4002025.12 | 95.33 | — | |
| CatBoostSample size=150, Validation protocol=5-fold cross-validation2026.05 | 95.3 | — | |
| RFSample size=150, Validation protocol=5-fold cross-validation2026.05 | 95.3 | — | |
| Soft LearningSample size=150, Validation protocol=5-fold cross-validation2026.05 | 94.7 | — | |
| GBTSample size=150, Validation protocol=5-fold cross-validation2026.05 | 94.7 | — | |
| Clements BellMesh=4x4, Epochs=4002025.12 | 94 | — | |
| DE11Regime=B, Interpretable=Yes2026.03 | 93.3 | — | |
| Decision TreeInterpretable=Yes2026.03 | 93.3 | — | |
| DE11Regime=Regime B, Rules/Nodes=7 rules, Parameters=82, Interpretable=Yes2026.03 | 93.3 | — | |
| Decision TreeRules/Nodes=8–15 leaves, Interpretable=Yes2026.03 | 93.3 | — | |
| Tuned MLPSample size=150, Validation protocol=5-fold cross-validation2026.05 | 93.3 | — | |
| KANSample size=150, Validation protocol=5-fold cross-validation2026.05 | 92 | — | |
| HypCSE2025.11 | 91.8 | — | |
| Logistic RegressionInterpretable=Partial2026.03 | 91.1 | — | |
| Logistic RegressionParameters=15, Interpretable=Partial2026.03 | 91.1 | — | |
| HypHC-ETEApproach=End-to-End2025.11 | 85.6 | — | |
| HypHC-TSApproach=Two-Step2025.11 | 84.4 | — | |
| LPType=Semi-supervised2025.11 | 76.7 | — | |
| ArrowFlowN=150, Feat=4, Cls=3, ArrowFlow Config=[64,128] e=16 p=32026.04 | — | 2.7 | |
| KNNN=150, Feat=4, Cls=32026.04 | — | 3.3 | |
| MLPN=150, Feat=4, Cls=32026.04 | — | 3.3 | |
| RFN=150, Feat=4, Cls=32026.04 | — | 3.3 | |
| SVMN=150, Feat=4, Cls=32026.04 | — | 3.3 | |
| XGBN=150, Feat=4, Cls=32026.04 | — | 3.3 |