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Hybrid (Haralick + Autoencoder) features based performance detection and utilizing robust machine learning techniques.
| Methods | Sensitivity | Specificity | PPV | NPV | Accuracy | FPR | AUC |
|---|---|---|---|---|---|---|---|
| Naïve Bayes | 0.9556 | 0.8567 | 0.9134 | 0.9242 | 0.9173 | 0.14330 | 0.9276 |
| Decision Tree | 0.9929 | 0.9888 | 0.9929 | 0.9888 | 0.9913 | 0.01124 | 0.9276 |
| SVM Polynomial | 1 | 0.9972 | 0.9982 | 1 | 0.9989 | 0.002809 | 1 |
| SVM RBF | 1 | 1 | 1 | 1 | 1 | 0 | 1 |
| SVM Gaussian | 1 | 1 | 1 | 1 | 1 | 0 | 1 |
