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Table 3 Model performance for predicting patient satisfaction on test set (n = 302)

From: Development and internal validation of machine learning algorithms to predict patient satisfaction after total hip arthroplasty

  LASSO SVM RF XGB
AUC 0.76 (0.67–0.86) 0.74 (0.63–0.85) 0.68 (0.56–0.80) 0.66 (0.50–0.78)
Brier score 0.23 0.23 0.23 0.21
Threshold 0.50 0.52 0.53 0.58
Sensitivity 65.3% 57.9% 53.0% 50.5%
Specificity 82.4% 76.5% 76.5% 76.5%
Calibration slope 1.29 0.44 1.06 0.29
Calibration intercept 0.13 0.70 0.40 0.77