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Table 14 AUC, CA, F1, precision and recall values of the models

From: Educational data mining: prediction of students' academic performance using machine learning algorithms

Model (AUC) Classification accuracy (CA) F1 Precision Recall
Random Forest 0.860 0.746 0.721 0.752 0.746
Neural Network 0.863 0.746 0.723 0.748 0.746
SVM 0.804 0.735 0.704 0.735 0.735
Logistic Regression 0.826 0.717 0.685 0.700 0.717
Naïve Bayes 0.810 0.713 0.692 0.706 0.713
kNN 0.810 0.699 0.694 0.691 0.699