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Table 2 Classifier 1 Experiment Results for the k-NN algorithm with 35 cytokines and k = 9

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

k-NN

Distance Measure:

Euclidean with k = 9

35 Cytokines

0.954 (.929, .979)

0.832

0.992

0.658

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BioData Mining

ISSN: 1756-0381