Table 7 Performance metrics of machine learning models for glioma classification.

From: Brain tumor detection with real-world predictions in Jordan hospitals

Model

AUC

CA

F1

Prec

Recall

Tree

0.833

0.882

0.744

0.747

0.742

AdaBoost

0.834

0.882

0.745

0.744

0.746

kNN

0.988

0.957

0.903

0.945

0.864

Neural Network

0.995

0.973

0.94

0.958

0.923

Logistic Regression

0.962

0.939

0.868

0.868

0.867

Random Forest

0.961

0.925

0.836

0.839

0.833

SVM

0.991

0.963

0.916

0.963

0.872

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