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Table 3 Performance of the three ML algorithms using the 16-variable dataset and of the HellenicSCORE, against the 10-year CVD (fatal or non-fatal) incidence of ATTICA study participants

From: Machine learning methodologies versus cardiovascular risk scores, in predicting disease risk

Algorithm Accuracy Specificity Sensitivity PPV NPV
k-NN 0.83 0.24 0.94 0.87 0.47
RF 0.84 0.20 0.96 0.87 0.46
DT 0.84 0.17 0.96 0.86 0.42
HellenicSCORE 0.85 0.20 0.97 0.87 0.58