Table 6 Performance of the three ML algorithms using the 5 variables dataset with bootstrapping and of the HellenicSCORE, against the 10-year CVD 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 | 0.66 | 0.62 | 0.67 | 0.91 | 0.26 |
RF | 0.79 | 0.47 | 0.85 | 0.90 | 0.37 |
DT | 0.78 | 0.48 | 0.84 | 0.90 | 0.36 |
HellenicSCORE | 0.85 | 0.20 | 0.97 | 0.87 | 0.58 |