Table 5.
Confusion matrix metrics oftest data.
| Fl_score | Precision | Accuracy | Sensitivity | Specificity | |
|---|---|---|---|---|---|
| Test data(n=343) | 0.9404 | 0.9016 | 0.895 | 0.9827 | 0.4259 |
Fl_score: Harmonic mean of Precision and Sensitivity
Precision: The ratio of the number of correctly classified positive samples to the total number of positive samples divided by the classifier. Accuracy: The proportion of correctly classified samples to all samples.
Sensitivity: The ratio of the number of correctly classified positive samples to the number of positive samples. Specificity: The ratio of the number of correctly classified negative samples to the number of negative samples.