Table 1.
CNN2 performance assessment.
| Actual | Total | |||
|---|---|---|---|---|
| No fracture | Trochanteric | Intracapsular | ||
| Predicted | ||||
| No fracture | 304 | 12 | 13 | 329 |
| Trochanteric | 1 | 169 | 6 | 176 |
| Intracapsular | 15 | 14 | 198 | 227 |
| Total | 320 | 195 | 217 | |
| Precision | 0.92 | 0.96 | 0.87 | |
| 95% CI | 0.89 to 0.95 | 0.92 to 0.98 | 0.82 to 0.91 | |
| Recall | 0.95 | 0.87 | 0.91 | |
| 95% CI | 0.92 to 0.97 | 0.81 to 0.91 | 0.87 to 0.95 | |
| F1 | 0.94 | 0.91 | 0.89 | |
Precision = (number correctly predicted as class A)/(number predicted as class A). Recall = (number correctly predicted as class A)/(number actually of class A). F1 varies from 1 = perfect classifier for class A, to 0 = no image was correctly identified as class A.