Research Article
Risk Assessment of Hip Fracture Based on Machine Learning
Table 18
Results of Decision Trees.
| | Decision Tree | Mean | St. deviation | Best |
| | Sensitivity (8 features) | 59.22% | 13.91% | 88.89% | | Specificity (8 features) | 73.08% | 12.46% | 84.62% | | Accuracy (8 features) | 65.03% | 8.85% | 87.10% | | Sensitivity (12 features) | 59.67% | 15.46% | 99.44% | | Specificity (12 features) | 74.46% | 18.09% | 92.31% | | Accuracy (12 features) | 65.87% | 11.66% | 93.55% |
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