From: Machine learning and statistical approaches for classification of risk of coronary artery disease using plasma cytokines
Algorithm
Classification Criterion
Predictor Feature Space
AUROC with 95% Confidence Interval
Prediction Accuracy
Sensitivity
Specificity
Random Forest
Decision Trees
35 Cytokines
0.99 (.982, .999)
0.96
0.954
0.967