Research Article
Risk Assessment of Hip Fracture Based on Machine Learning
Table 11
Results of SVM with a linear kernel.
| | Linear | Mean | St. deviation | Best |
| | Sensitivity (8 features) | 61.22% | 10.20% | 83.33% | | Specificity (8 features) | 76.69% | 10.85% | 92.30% | | Accuracy (8 features) | 67.71% | 8.81% | 87.10% | | Sensitivity (12 features) | 68.44% | 9.76% | 88.89% | | Specificity (12 features) | 75.62% | 13.35% | 92.30% | | Accuracy (12 features) | 71.45% | 9.17% | 90.32% |
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