Table 2 Results of the ML models for mortality over 3Â years of follow-up in patients with CHF
| Â | Model | Accuracy(%) | Precision(%) | Recall(%) |
|---|---|---|---|---|
1 | Logistic Regression | 72.44 ± 1.87 | 70.01 ± 1.20 | 68.33 ± 1.38 |
2 | Naive Bayes | 72.63 ± 1.39 | 67.21 ± 1.31 | 82.41 ± 1.65 |
3 | Random Forest | 78.96 ± 2.29 | 98.00 ± 2.14 | 99.44 ± 2.21 |
4 | Extreme Gradient Boost | 77.33 ± 1.54 | 96.01 ± 2.22 | 93.38 ± 2.10 |
5 | K-Nearest Neighbour | 62.28 ± 2.08 | 71.36 ± 1.74 | 71.04 ± 1.44 |
6 | Decision Tree | 72.43 ± 1.03 | 92.24 ± 2.01 | 71.52 ± 2.13 |