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Performance of prediction models of aggressive clear cell renal cell carcinoma.
| Logistic regression model | Deep neural network model | ||
|---|---|---|---|
| Using 3 parameters (Expression of FOXC2, PBRM1, and BAP1) | Accuracy | 0.555 | 0.537 |
| Area under the curve | 0.651 | 0.736 | |
| Using 6 parameters (Expression of FOXC2, PBRM1, and BAP1 + Immunohistochemical staining of FOXC2, PBRM1, and BAP1) | Accuracy | 0.759 | 0.852 |
| Area under the curve | 0.760 | 0.796 |
