Skip to main content

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)