Table 5.
Classification Statistics. Mean classification statistics and standard deviations for all classifiers on both classification tasks. The rounded best performance across each column for each classification type is bolded. AUC = Area Under (the ROC) Curve.
| Type | Classifier | Accuracy (%) | Precision | Recall | AUC |
|---|---|---|---|---|---|
| AD vs. RNE | Logistic Regression | 100 ± 0.00 | 1.00 ± 0.00 | 1.00 ± 0.00 | 1.00 ± 0.00 |
| SVM | 100 ± 0.00 | 1.00 ± 0.00 | 1.00 ± 0.00 | 1.00 ± 0.00 | |
| LDA | 100 ± 0.00 | 1.00 ± 0.00 | 1.00 ± 0.00 | 1.00 ± 0.00 | |
| ANN | 100 ± 0.00 | 1.00 ± 0.00 | 1.00 ± 0.00 | 1.00 ± 0.00 | |
| pAD vs. RNE | Logistic Regression | 88.50 | 1.00 ± 0.00 | 0.80 ± 0.22 | 0.99 ± 0.04 |
| SVM | 87.50 ± 13.4 | 0.95 ± 0.14 | 0.82 ± 0.20 | 0.95 ± 0.08 | |
| LDA | 91.50 ± 13.1 | 0.98 ± 0.10 | 0.86 ± 0.20 | 0.97 ± 0.06 | |
| ANN | 92.50 ± 12.5 | 0.99 ± 0.07 | 0.88 ± 0.20 | 0.99 ± 0.05 |