Table 5 The performance of each model at random embedding
From: A risk factor attention-based model for cardiovascular disease prediction
Model | Accuracy % | Precision % | Recall % | F-score % | \(|\Delta |\) |
|---|---|---|---|---|---|
\(ConvNets_{(risks\ with\ labels)}\) | 91.67 | 90.87 | 91.24 | 91.05 | 3.99 |
\(LSTM_{(risks\ with\ labels)}\) | 81.82 | 79.45 | 82.36 | 80.88 | 14.07 |
\(RFAB_{(no\ att)}\) | 92.31 | 92.18 | 92.31 | 94.09 | 2.47 |
RFAB | 95.22 | 95.16 | 95.22 | 95.19 | – |