Table 1 Performance comparison among the 5 different classifiers: Linear Regression (LR), Supported Vector Machine (SVM), Decision Tree (DT), Gradient Boosting Decision Tree (GBDT), eXtreme Gradient Boosting (XGBoost)
From: An interpretable boosting model to predict side effects of analgesics for osteoarthritis
| Â | LR | SVM | DT | GBDT | XGBoost |
|---|---|---|---|---|---|
Precision | 0.75 | 0.64 | 0.97 | 0.89 | 0.81 |
Recall | 0.69 | 0.75 | 0.5 | 0.75 | 0.84 |
Error rate | 0.04 | 0.04 | 0.08 | 0.03 | 0.03 |