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International Journal of Educational Technology in Higher Education

Table 4 The performance metrics of the optimal RF classifiers

From: A revised application of cognitive presence automatic classifiers for MOOCs: a new set of indicators revealed?

Classifiers

Accuracy (SD)

Cohen’s κ (SD)

Macro F1 (SD)

Weighed F1 (SD)

ntree

mtry

Classifier with the SMOTE exact method

0.730 (0.046)

0.542 (0.071)

0.509 (0.069)

0.742 (0.056)

1100

54

Classifier without the SMOTE exact method

0.736 (0.032)

0.516 (0.063)

0.472 (0.054)

0.771 (0.061)

1100

94

  1. The bold values denote the better-performing metrics of the classifier in each row
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