From: Identifying tuberculous pleural effusion using artificial intelligence machine learning algorithms
AUC | Sensitivity | Specificity | PPV | NPV | PLR | NLR | Accuracy | |
---|---|---|---|---|---|---|---|---|
pfADA | 0.890 | 85.4% | 84.1% | 80.4% | 88.3% | 5.37 | 0.17 | 84.7% |
Logistic regression | 0.876 | 80.5% | 84.8% | 80.2% | 85.2% | 5.47 | 0.23 | 82.9% |
KNN | 0.895 | 78.6% | 86.6% | 82.3% | 84.0% | 6.28 | 0.24 | 83.2% |
SVM | 0.918 | 83.2% | 85.9% | 82.3% | 86.6% | 6.23 | 0.20 | 80.4% |
RF | 0.971 | 89.1% | 93.6% | 91.3% | 91.5% | 14.97 | 0.12 | 91.6% |