Open Access
Table 4
Performances of all classifiers.
| No. | Classifiers | Data type | Training | Test | Average test AUc | ||||
|---|---|---|---|---|---|---|---|---|---|
| Sensitivity | Specificity | Accuracy | Sensitivity | Specificity | Accuracy | ||||
| 1 | KNN | CBC readings | 98.1% | 98.3% | 98.2% | 80.7% | 82.6% | 81.7% | 0.901 |
| 2 | Discriminant Analysis | CBC readings | 76.0% | 82.0% | 79.0% | 70.1% | 85.1% | 77.6% | 0.854 |
| 3 | SVM | CBC readings | 77.4% | 81.6% | 79.5% | 73.4% | 85.7% | 79.6% | 0.857 |
| 4 | Naive Bayes | CBC readings | 79.9% | 81.4% | 80.6% | 82.2% | 80.1% | 81.1% | 0.860 |
| 5 | Decision Tree | CBC readings | 82.5% | 81.2% | 81.8% | 73.4% | 75.4% | 74.4% | 0.832 |
| 6 | Logistic Regression | CBC readings | 76.6% | 81.9% | 79.2% | 77.3% | 83.3% | 80.3% | 0.866 |
| 7 | Random Forests | CBC readings | 98.2% | 98.2% | 98.2% | 82.7% | 82.1% | 82.4% | 0.899 |
| 8 | ANN | CBC readings | 81.3% | 84.4% | 82.8% | 78.7% | 83.0% | 80.9% | 0.881 |
| 9 | CNN1 | SFL-SSC images | 97.9% | 98.9% | 98.6% | 93.9% | 96.6% | 95.6% | 0.981 |
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