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Measures of performance of our deep learning classifier that provide an understanding of the diagnostic accuracy of the trained model. The F1 score, the harmonic mean of the precision and recall, is a measure of the classifier selecting power.
| Accuracy | 0.880 |
| True positive rate (Recall) | 0.897 |
| True negative rate (Specificity) | 0.872 |
| Positive Predictive Value (Precision) | 0.772 |
| Negative Predictive Value | 0.946 |
| F1 score | 0.829 |
