Research Article
Risk Assessment of Hip Fracture Based on Machine Learning
Table 12
Results of SVM with a linear kernel and posterior probability regions.
| | Mean | St. deviation | Best |
| | Sensitivity (8 features) | 63.94% | 9.75% | 88.89% | | Specificity (8 features) | 75.08% | 12.28% | 100.00% | | Accuracy (8 features) | 68.61% | 9.05% | 93.54% | | Sensitivity (12 features) | 68.17% | 9.63% | 88.89% | | Specificity (12 features) | 77.23% | 12.17% | 92.31% | | Accuracy (12 features) | 71.97% | 8.71% | 90.32% |
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