Table 3.
Classification performance of various ML algorithms on cold injuries among the elderly (> 60 years old) population.
| Method | Accuracy | Precision | Recall | F1-score | ||||
|---|---|---|---|---|---|---|---|---|
| Mean | Standard error | Mean | Standard error | Mean | Standard error | Mean | Standard error | |
| Decision tree | 69.282 | 0.013 | 30.177 | 0.028 | 26.551 | 0.030 | 27.960 | 0.026 |
| Random forest | 76.555 | 0.010 | 44.802 | 0.123 | 9.681 | 0.024 | 15.683 | 0.037 |
| XGBoost | 77.895 | 0.005 | 52.886 | 0.036 | 18.564 | 0.022 | 27.351 | 0.028 |
| AdaBoost | 76.746 | 0.005 | 47.656 | 0.023 | 26.596 | 0.025 | 33.876 | 0.025 |
| Neural network | 69.665 | 0.018 | 29.444 | 0.037 | 20.683 | 0.022 | 23.617 | 0.022 |