Table 4 Best twenty models using feature selection and best ten all variable (AV) models using a single 75:25 train:test stratified holdout. Feature subset numbers are defined in Table 3. For AV, feature set indicates the sensor and number of variables (in parentheses) in the subset
From: Feature selection for elderly faller classification based on wearable sensors
Method | Feature Set | Modela | Accuracyb (%) | Sensitivity (%) | Specificity (%) | PPV (%) | NPV (%) | F1 | MCC | SR |
|---|---|---|---|---|---|---|---|---|---|---|
Relief-F | 1 | SVM-7 | 96.0 [80.4: 99.3] | 100.0 | 94.7 | 85.7 | 100.0 | 0.923 | 0.901 | 33 |
Relief-F | 1 | SVM-6 | 92.0 [75.0: 97.8] | 83.3 | 94.7 | 83.3 | 94.7 | 0.833 | 0.781 | 43 |
Relief-F | 2 | NN-15 | 88.0 [70.0: 95.8] | 50.0 | 100.0 | 100.0 | 86.4 | 0.667 | 0.657 | 44 |
Relief-F | 3 | NN-21 | 88.0 [70.0: 95.8] | 50.0 | 100.0 | 100.0 | 86.4 | 0.667 | 0.657 | 44 |
Relief-F | 3 | NN-23 | 88.0 [70.0: 95.8] | 50.0 | 100.0 | 100.0 | 86.4 | 0.667 | 0.657 | 44 |
Relief-F | 3 | NN-25 | 88.0 [70.0: 95.8] | 50.0 | 100.0 | 100.0 | 86.4 | 0.667 | 0.657 | 44 |
Relief-F | 1 | NN-21 | 88.0 [70.0: 95.8] | 50.0 | 100.0 | 100.0 | 86.4 | 0.667 | 0.657 | 44 |
Relief-F | 4 | NN-9 | 88.0 [70.0: 95.8] | 50.0 | 100.0 | 100.0 | 86.4 | 0.667 | 0.657 | 44 |
Relief-F | 4 | NN-21 | 88.0 [70.0: 95.8] | 50.0 | 100.0 | 100.0 | 86.4 | 0.667 | 0.657 | 44 |
Relief-F | 1 | SVM-5 | 92.0 [75.0: 97.8] | 100.0 | 89.5 | 75.0 | 100.0 | 0.857 | 0.819 | 52 |
Relief-F | 5 | SVM-4 | 88.0 [70.0: 95.8] | 66.7 | 94.7 | 80.0 | 90.0 | 0.727 | 0.656 | 65 |
Relief-F | 6 | SVM-4 | 88.0 [70.0: 95.8] | 66.7 | 94.7 | 80.0 | 90.0 | 0.727 | 0.656 | 65 |
Relief-F | 7 | NN-21 | 88.0 [70.0: 95.8] | 66.7 | 94.7 | 80.0 | 90.0 | 0.727 | 0.656 | 65 |
Relief-F | 3 | SVM-3 | 88.0 [70.0: 95.8] | 83.3 | 89.5 | 71.4 | 94.4 | 0.769 | 0.693 | 68 |
Relief-F | 8 | NB-Q | 84.0 [65.3: 93.6] | 83.3 | 84.2 | 62.5 | 94.1 | 0.714 | 0.618 | 102 |
AV | H(29) | SVM-4 | 84.0 [65.3: 93.6] | 33.3 | 100.0 | 100.0 | 82.6 | 0.500 | 0.525 | 104 |
AV | I(30),H(29) | SVM-4 | 84.0 [65.3: 93.6] | 33.3 | 100.0 | 100.0 | 82.6 | 0.500 | 0.525 | 104 |
AV | I(30),P(29), LS(29) | SVM-2 | 84.0 [65.3: 93.6] | 33.3 | 100.0 | 100.0 | 82.6 | 0.500 | 0.525 | 104 |
AV | H(29),P(29), LS(29),RS(29) | NN-5 | 84.0 [65.3: 93.6] | 33.3 | 100.0 | 100.0 | 82.6 | 0.500 | 0.525 | 104 |
CFS/FCBF | 9 | NN-8 | 84.0 [65.3: 93.6] | 33.3 | 100.0 | 100.0 | 82.6 | 0.500 | 0.525 | 104 |
CFS/FCBF | 9 | NN-10 | 84.0 [65.3: 93.6] | 33.3 | 100.0 | 100.0 | 82.6 | 0.500 | 0.525 | 104 |
AV | H(29) | SVM-2 | 84.0 [65.3: 93.6] | 66.7 | 89.5 | 66.7 | 89.5 | 0.667 | 0.561 | 107 |
AV | I(30),P(29), LS(29),RS(29) | NB-Q | 80.0 [60.9: 91.1] | 83.3 | 78.9 | 55.6 | 93.8 | 0.667 | 0.554 | 120 |
AV | I(30),P(29) | SVM-2 | 84.0 [65.3: 93.6] | 50.0 | 94.7 | 75.0 | 85.7 | 0.600 | 0.521 | 121 |
AV | I(30),H(29), P(29) | SVM-3 | 84.0 [65.3: 93.6] | 50.0 | 94.7 | 75.0 | 85.7 | 0.600 | 0.521 | 121 |
AV | I(30),P(29) | NN-9 | 84.0 [65.3: 93.6] | 50.0 | 94.7 | 75.0 | 85.7 | 0.600 | 0.521 | 121 |
AV | I(30),H(29), P(29),LS(29) | NN-20 | 84.0 [65.3: 93.6] | 50.0 | 94.7 | 75.0 | 85.7 | 0.600 | 0.521 | 121 |
CFS/FCBF | 9 | NB-Q | 76.0 [56.6: 88.5] | 66.7 | 78.9 | 50.0 | 88.2 | 0.571 | 0.418 | 157 |
CFS/FCBF | 9 | SVM-2 | 80.0 [60.9: 91.1] | 33.3 | 94.7 | 66.7 | 81.8 | 0.444 | 0.369 | 176 |
CFS/FCBF | 9 | SVM-3 | 80.0 [60.9: 91.1] | 33.3 | 94.7 | 66.7 | 81.8 | 0.444 | 0.369 | 176 |