Table 10 Performance metrics of machine learning models for the pituitary class.
From: Brain tumor detection with real-world predictions in Jordan hospitals
Model | AUC | CA | F1 | Prec | Recall |
|---|---|---|---|---|---|
Tree | 0.896 | 0.924 | 0.846 | 0.852 | 0.841 |
AdaBoost | 0.884 | 0.916 | 0.83 | 0.838 | 0.822 |
kNN | 0.996 | 0.979 | 0.959 | 0.941 | 0.977 |
Neural Network | 0.999 | 0.986 | 0.972 | 0.968 | 0.976 |
Logistic Regression | 0.987 | 0.969 | 0.938 | 0.939 | 0.937 |
Random Forest | 0.987 | 0.957 | 0.915 | 0.904 | 0.925 |
SVM | 0.997 | 0.98 | 0.961 | 0.951 | 0.971 |
