Binary Classification on Indian liver patient dataset (ILPD) (test)
0.76AUCLogistic Regression
Evaluation results
| Method | Links | |
|---|---|---|
| Logistic Regression2025.12 | 0.76 | |
| Random Forest with 100 treesnumber of trees=100, max depth=32025.12 | 0.75 | |
| Random Forest with 1000 treesnumber of trees=1000, max depth=32025.12 | 0.75 | |
| Soft Decision Treemax depth=32025.12 | 0.74 | |
| SM-SDTmax depth=3, short-term memory=true2025.12 | 0.74 | |
| XGBoostmax depth=32025.12 | 0.74 | |
| Decision Treemax depth=32025.12 | 0.7 |