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Hybrid (Autoencoder + GLCM) features based performance detection and employing machine learning techniques to differentiate SCLC from NSCLC.
| Methods | Sensitivity | Specificity | PPV | NPV | Accuracy | FPR | AUC |
|---|---|---|---|---|---|---|---|
| Naïve Bayes | 0.9627 | 0.8736 | 0.9233 | 0.9367 | 0.9282 | 0.12640 | 0.9358 |
| Decision Tree | 0.9929 | 0.9803 | 0.9876 | 0.9887 | 0.9820 | 0.01966 | 0.9358 |
| SVM Polynomial | 1 | 0.9972 | 0.9982 | 1 | 0.9989 | 0.002809 | 0.9999 |
| SVM RBF | 1 | 1 | 1 | 1 | 1 | 0 | 1 |
| SVM Gaussian | 1 | 1 | 1 | 1 | 1 | 0 | 1 |
