Table 5 Various classifiers for the categorization of lung cancer.
From: Greylag goose optimization and multilayer perceptron for enhancing lung cancer classification
Models | Accuracy | Sensitivity (TRP) | Specificity (TNP) | Pvalue (PPV) | Nvalue (NPV) | F-Score | AUC |
|---|---|---|---|---|---|---|---|
SVC | 0.83389544 | 0.837171 | 0.83045 | 0.83855 | 0.829016 | 0.83786 | 0.874 |
DT | 0.83808724 | 0.842715 | 0.833333 | 0.83855 | 0.837607 | 0.84062 | 0.876 |
RFC | 0.86343993 | 0.877586 | 0.84922 | 0.854027 | 0.87344 | 0.86564 | 0.893 |
KNN | 0.8872 | 0.877586 | 0.895522 | 0.879102 | 0.894188 | 0.87834 | 0.882 |
MLP | 0.91803278 | 0.926686 | 0.909091 | 0.913295 | 0.923077 | 0.91994 | 0.935 |
