Table 1 Performance of automated SMI assessment system.
From: Prediction of Fishman’s skeletal maturity indicators using artificial intelligence
SMI | Sensitivity | Specificity | MAE | RMSE |
|---|---|---|---|---|
0 | 0.933 | 0.972 | 0.067 | 0.258 |
1 | 0.188 | 0.990 | 0.938 | 1.09 |
2 | 0.423 | 0.993 | 0.846 | 1.177 |
3 | 0.856 | 0.982 | 0.25 | 0.756 |
4 | 0.778 | 0.978 | 0.333 | 0.745 |
5 | 0.000 | 1 | 1 | 1 |
6 | 0.720 | 0.955 | 0.355 | 0.726 |
7 | 0.884 | 0.944 | 0.116 | 0.341 |
8 | 0.574 | 0.997 | 0.5 | 0.805 |
9 | 0.630 | 0.990 | 0.37 | 0.609 |
10 | 0.877 | 0.969 | 0.123 | 0.350 |
11 | 0.882 | 0.972 | 0.118 | 0.343 |
Overall | 0.646 | 0.978 | 0.27 | 0.604 |
Prediction accuracy 0.772 | Balanced accuracy 0.646 | |||
