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International Journal of Educational Technology in Higher Education

Table 8 Performance scores of the individual algorithms optimized with grid-search

From: Predicting students at risk of academic failure using ensemble model during pandemic in a distance learning system

  GB QDA ET DT RF LR ANN
Specificity or TNR 0.6276 0.5586 0.7724 0.8276 0.8621 0.8345 0.5931
Sensitivity or TPR 0.9190 0.9467 0.7719 0.4670 0.7868 0.8102 0.9446
Precision 0.8887 0.8740 0.9165 0.8975 0.9486 0.9406 0.8825
  1. Italic characters show most successful scores of each row
  2. Gradient Boosting (GB), Quadratic Discriminant Analysis (QDA), Extra Trees (ET), Decision Tree (DT), Random Forest (RF), Logistic Regression (LR), and Artificial Neural Network (ANN)
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