Table 9 Performance metrics of machine learning models for the meningioma class.
From: Brain tumor detection with real-world predictions in Jordan hospitals
Model | AUC | CA | F1 | Prec | Recall |
|---|---|---|---|---|---|
Tree | 0.806 | 0.86 | 0.702 | 0.698 | 0.706 |
AdaBoost | 0.792 | 0.849 | 0.68 | 0.677 | 0.683 |
kNN | 0.986 | 0.945 | 0.887 | 0.856 | 0.92 |
Neural Network | 0.991 | 0.963 | 0.923 | 0.909 | 0.937 |
Logistic Regression | 0.952 | 0.922 | 0.833 | 0.833 | 0.833 |
Random Forest | 0.944 | 0.901 | 0.787 | 0.797 | 0.777 |
SVM | 0.984 | 0.946 | 0.889 | 0.857 | 0.924 |
