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Table 3 Performance of the new RF model for diagnosing TPE

From: Identifying tuberculous pleural effusion using artificial intelligence machine learning algorithms

 

AUC

Sensitivity

Specificity

PPV

NPV

PLR

NLR

Accuracy

RF

0.965

90.6%

92.3%

80.9%

93.0%

13.1

0.1

91.5%

  1. RF random forest, TPE tuberculous pleural effusion, AUC area under the curve, PPV positive predictive value, NPV negative predictive value, PLR positive likelihood ratio, NLR negative likelihood ratio