Classification on Phishing (test)
97.33AccuracyXGBoost
Evaluation results
| Method | Links | ||
|---|---|---|---|
| XGBoost2026.06 | 97.33 | — | |
| XGBoostDeferral rate=0%2026.06 | 97.33 | 0.0015 | |
| MDT+XGBmax_test_deferral_rate=25%2026.06 | 97.28 | — | |
| MDT+XGBDeferral rate=≤25%2026.06 | 97.28 | 0.0017 | |
| Random Forest2026.06 | 97.21 | — | |
| Random ForestDeferral rate=0%2026.06 | 97.21 | 0.0013 | |
| I-NeurALlabel budget=50%2022.10 | 96.02 | — | |
| NeuAL-NTK-Dlabel budget=50%2022.10 | 95.83 | — | |
| Marginlabel budget=50%2022.10 | 95.73 | — | |
| I-NeurALlabel budget=20%, T (rounds)=20002022.10 | 95.64 | — | |
| I-NeurALlabel budget=10%2022.10 | 95.64 | — | |
| Non-Deferral Tree2026.06 | 95.28 | — | |
| Non-Deferral TreeDeferral rate=0%2026.06 | 95.28 | 0.0017 | |
| Marginlabel budget=20%, T (rounds)=20002022.10 | 95.17 | — | |
| NeuAL-NTK-Dlabel budget=20%, T (rounds)=20002022.10 | 94.98 | — | |
| Randomlabel budget=50%2022.10 | 94.98 | — | |
| Marginlabel budget=10%2022.10 | 94.98 | — | |
| ALPSlabel budget=50%2022.10 | 94.5 | — | |
| ALPSlabel budget=20%, T (rounds)=20002022.10 | 94.41 | — | |
| I-NeurALLabel Budget=3%, T (rounds)=20002022.10 | 94.22 | — | |
| Randomlabel budget=20%, T (rounds)=20002022.10 | 93.93 | — | |
| Randomlabel budget=10%2022.10 | 93.93 | — | |
| FIGS2026.06 | 93.92 | — | |
| FIGSDeferral rate=0%2026.06 | 93.92 | 0.0019 | |
| MarginLabel Budget=3%, T (rounds)=20002022.10 | 93.46 | — | |
| NeuAL-NTK-Dlabel budget=10%2022.10 | 92.99 | — | |
| NeuAL-NTK-DLabel Budget=3%, T (rounds)=20002022.10 | 92.89 | — | |
| ALPSlabel budget=10%2022.10 | 92.89 | — | |
| RandomLabel Budget=3%, T (rounds)=20002022.10 | 91.75 | — | |
| ALPSLabel Budget=3%, T (rounds)=20002022.10 | 91.47 | — | |
| NeuAL-NTK-Flabel budget=20%, T (rounds)=20002022.10 | 54.69 | — | |
| NeuAL-NTK-FLabel Budget=3%, T (rounds)=20002022.10 | 54.69 | — | |
| NeuAL-NTK-Flabel budget=50%2022.10 | 54.69 | — | |
| NeuAL-NTK-Flabel budget=10%2022.10 | 54.69 | — |