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The value of AI model estimation performance measure using confusion matrix
| Measure | Value | Derivations |
|---|---|---|
| Sensitivity (Recall) | 0.9559 | TPR = TP/(TP + FN) |
| Precision | 0.9652 | PPV = TP/(TP + FP) |
| False Discovery Rate | 0.0348 | FDR = FP/(FP + TP) |
| False Negative Rate | 0.0441 | FNR = FN/(FN + TP) |
| F1 Score | 0.9606 | F1 = 2TP/(2TP + FP + FN) |
