Table 2 Comparison of prediction accuracies for stone-free and one-session success according to three machine learning methods
| Â | Stone-free | One-session success |
|---|---|---|
Random forest (RF) | ||
 Training Accuracy (%) | 86.47 | 76.83 |
 Test Accuracy (%) | 85.98 | 78.02 |
Extreme gradient boosting trees (XGBoost) | ||
 Training Accuracy (%) | 87.50 | 75.60 |
 Test Accuracy (%) | 87.46 | 77.39 |
Light Gradient Boosting Method (LightGBM) | ||
 Training Accuracy (%) | 88.09 | 74.92 |
 Test Accuracy (%) | 87.95 | 77.04 |