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Table 3 Classifier 2 Experiment Results for the Random Forest with 35 cytokines

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

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BioData Mining

ISSN: 1756-0381