Table 3 Prediction performance of different model for academic emotion levels (N = 1696).

From: Constructing a predictive model of negative academic emotions in high school students based on machine learning methods

Model

Precision/%

Recall/%

F1/%

AUC

LR

70.80%

70.50%

70.70%

0.77

NBC

72.30%

71.60%

71.90%

0.77

SVM

70.90%

78.40%

74.50%

0.79

DT

69.90%

84.90%

76.70%

0.72

RF

83.90%

95.10%

89.20%

0.96

GBTD

72.60%

86.20%

78.90%

0.84

AdaBoots

62.50%

80.20%

70.20%

0.67

  1. Note. LR = Logistic Regression; NBC = Naive Bayes Classifier; SVM = Support Vector Machine; DT = Decision Tree; RF = Random Forest; GBTD = Gradient Boosting Decision Tree; AdaBoost = Adaptive Boosting.
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