Table 4 Performance of the three ML algorithms using the 16-variable dataset with bootstrapping 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 | 0.65 | 0.56 | 0.67 | 0.89 | 0.24 |
RF | 0.83 | 0.46 | 0.89 | 0.90 | 0.45 |
DT | 0.80 | 0.53 | 0.85 | 0.91 | 0.40 |
HellenicSCORE | 0.85 | 0.20 | 0.97 | 0.87 | 0.58 |