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Fig. 3 | BMC Anesthesiology

Fig. 3

From: Development and validation of machine learning models for predicting post-cesarean pain and individualized pain management strategies: a multicenter study

Fig. 3

XGBoost Model Predictions and Performance Post-Tuning. This scatter plot illustrates the predicted versus actual times to the first activation of patient-controlled intravenous analgesia (PCIA) for the optimized XGBoost model. The plot demonstrates the improved alignment of predicted and actual values after hyperparameter tuning, with data points clustering tightly around the line of equality

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