Diabetes prediction on Pima Diabetes dataset
75.73AccuracyQDSP
Evaluation Results
| Method | Links | ||||||
|---|---|---|---|---|---|---|---|
| QDSP2026.05 | 75.73 | 62.85 | 74.3 | 82.12 | 68.09 | 0.1908 | |
| TabPFN2026.05 | 75.32 | 61.4 | 68.63 | 80.61 | 64.81 | 0.1641 | |
| LightGBM2026.05 | 73.89 | 59.88 | 79.67 | 82.7 | 68.16 | 0.1656 | |
| Random Forest2026.05 | 73.5 | 59.54 | 80.6 | 83.51 | 68.25 | 0.1642 | |
| SVM2026.05 | 72.72 | 58.58 | 80.96 | 82.62 | 67.47 | 0.1614 | |
| TabNet2026.05 | 72.52 | 58.8 | 82.66 | 83.58 | 68.15 | 0.1575 | |
| XGBoost2026.05 | 72.2 | 57.52 | 80.22 | 82.14 | 66.88 | 0.1706 | |
| Logistic Regression2026.05 | 69.53 | 56.44 | 79.51 | 81.49 | 64.95 | 0.1749 | |
| Decision Tree2026.05 | 69.53 | 56.44 | 79.51 | 81.49 | 64.95 | 0.1749 |