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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

  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