Binary Classification on Stroke prediction dataset (test)
0.83AUCLogistic Regression
Evaluation results
| Method | Links | |
|---|---|---|
| Logistic Regression2025.12 | 0.83 | |
| Random Forest with 100 treesnumber of trees=100, max depth=32025.12 | 0.83 | |
| Random Forest with 1000 treesnumber of trees=1000, max depth=32025.12 | 0.83 | |
| Soft Decision Treemax depth=32025.12 | 0.82 | |
| SM-SDTmax depth=3, short-term memory=true2025.12 | 0.82 | |
| Decision Treemax depth=32025.12 | 0.8 | |
| XGBoostmax depth=32025.12 | 0.79 |