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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)