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Table 2 Performance of the three ML algorithms using the 16-variable dataset against the predicted 10-year CVD risk through the HellenicSCORE

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

Algorithm Accuracy Specificity Sensitivity PPV NPV
k-NN 0.96 0.37 0.98 0.97 0.50
RF 0.99 0.79 1.00 0.99 0.98
DT 0.99 0.87 0.99 0.99 0.89