Table 3.
Diagnostic performance of classification algorithms based on Ultrasound Elastography images.
Classifier | AUC | CA | F1-Score | Precision | Recall |
---|---|---|---|---|---|
kNN | 0.983 | 0.947 | 0.947 | 0.947 | 0.947 |
Logistic Regression | 0.960 | 0.889 | 0.888 | 0.888 | 0.889 |
Neural Network | 0.985 | 0.918 | 0.918 | 0.922 | 0.918 |
Random Forest | 0.861 | 0.796 | 0.786 | 0.803 | 0.796 |
SVM | 0.985 | 0.941 | 0.941 | 0.942 | 0.942 |
AUC, Area Under the Curve; CA, Classification Accuracy; kNN, k-Nearest Neighbor; SVM, Support Vector Machine.