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Table 7 Test statistics 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

Models TN FP FN TP
Gradient Boosting (GB) 91 54 38 431
Quadratic Discriminant Analysis (QDA) 81 64 25 444
Extra Trees (ET) 112 33 107 362
Decision Tree (DT) 120 25 250 219
Random Forest (RF) 125 20 100 369
Logistic Regression (LR) 121 24 89 380
Artificial Neural Network (ANN) 86 59 26 443
  1. True positives (TP), True negatives (TN), False positives (FP), and False negatives (FN)