update readme

README.md

@@ -104,21 +104,6 @@ Youden's J is reported as a secondary reference. The threshold (**0.7113**) was
 
 - Validation @ locked threshold: sensitivity **0.952**, specificity **0.896**.
 
-## Test performance (locked model + locked threshold, n=1000)
-
-CI method: stratified bootstrap, 2000 resamples, seed=42. Probabilities calibrated.
-
-| Metric | Point estimate | 95% CI |
-|--------|---------------:|:------:|
-| AUROC | **0.9371** | [0.9202, 0.9528] |
-| Sensitivity | 0.9042 | [0.8824, 0.9248] |
-| Specificity | 0.7955 | [0.7435, 0.8439] |
-| PPV | 0.9232 | [0.9054, 0.9401] |
-| NPV | 0.7535 | [0.7123, 0.7979] |
-| Accuracy | 0.8750 | [0.8540, 0.8950] |
-| F1 | 0.9136 | [0.8991, 0.9278] |
-| Brier | 0.0823 | — |
-| ECE | 0.0314 | — |
 
 ## Calibration results
 
@@ -127,14 +112,6 @@ Temperature scaling (T=0.5646) on validation reduced **validation ECE from 0.083
 the test set, calibrated ECE is **0.0314** (well calibrated). Reliability diagrams:
 `results/figures/valid_calibration.png`, `results/figures/test_calibration.png`.
 
-## Confusion matrix (Test)
-
-TN = 214 · FP = 55 · FN = 70 · TP = 661
-
-![Test confusion matrix](results/figures/test_confusion_counts.png)
-
-Additional figures: `results/figures/test_roc.png`,
-`results/figures/test_pr.png`, `results/figures/test_confusion_normalized.png`.
 
 ## Files in this repo