Table 5.
The overall performance of five-fold cross-validation over five rounds for the machine learning–based fall detection algorithm.
| Machine Learning–Based Fall Detection Algorithm | ||||||
|---|---|---|---|---|---|---|
| Round | 1 | 2 | 3 | 4 | 5 | Mean (Std) |
| Sensitivity (%) | 99.58 (0.58) | 99.16 (1.37) | 99.36 (0.94) | 99.15 (0.89) | 98.95 (0.74) | 99.24 (0.89) |
| Specificity (%) | 98.63 (1.68) | 98.63 (1.66) | 98.63 (2.37) | 97.80 (2.50) | 98.37 (1.48) | 98.41 (1.84) |
| Precision (%) | 98.97 (1.26) | 98.95 (1.29) | 98.99 (1.73) | 98.35 (1.88) | 98.76 (1.10) | 98.81 (1.38) |
| Accuracy (%) | 99.17 (0.90) | 98.93 (1.47) | 99.05 (0.90) | 98.56 (1.02) | 98.69 (0.49) | 98.88 (0.95) |