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 |