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Table 5 The predictive value and optimal cutoff stratified by subgroups in XGBoost

From: Predictive value of machine learning algorithm of coronary artery calcium score and clinical factors for obstructive coronary artery disease in hypertensive patients

 

Cutpoint

Sensitivity

Specificity

PPV

NPV

accuracy

XGBoost

0.254

0.837

0.786

0.389

0.950

0.767

Stage 3

0.224

0.820

0.876

0.579

0.931

0.848

Stage 1/2

0.202

0.869

0.905

0.533

0.923

0.887

  1. PPV, positive predict value; NPV, negative predict value. XGBoost, Extreme Gradient Boosting; PPV, positive predictive value; NPV, negative predictive value.
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BMC Medical Informatics and Decision Making

ISSN: 1472-6947

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