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