Table 7.
Race prediction performance across different models
Model | Accuracy (95% CI) | AUROC (95% CI) |
---|---|---|
Race prediction model | 86.7% (86.0–87.4) | 95.1% (94.7–95.5) |
Fine-tuned Model A | 74.2% (73.3–75.3) | 80.8% (80.0–81.9) |
Fine-tuned Model B | 75.8% (74.8–76.8) | 82.8% (81.9–83.6) |
Fine-tuned Model C | 73.2% (72.2–74.3) | 79.2% (78.4–80.3) |
First row shows the performance of a model trained specifically for race prediction. Rows two to four show the performance for race prediction of models that were built by fine-tuning the model backbones of breast density prediction models. Density models A and B were originally trained for density prediction using data from a single race group only.