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Table 5 Performance of the three ML algorithms using the 5 variables 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 0.82 0.21 0.93 0.86 0.35
RF 0.84 0.22 0.95 0.87 0.45
DT 0.84 0.14 0.97 0.86 0.49
HellenicSCORE 0.85 0.20 0.97 0.87 0.58