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Table 6 Performance of the classification model in predicting students’ groups from prior knowledge and course checkpoints in dataset D2

From: Framework for automatically suggesting remedial actions to help students at risk based on explainable ML and rule-based models

Target performance in

MT

TG

Predictors

HS_GPA, Qz1Norm, AgeCourseStart, PHYS, Qz2Norm, HW1Norm, MATH, CENG202, CSBP119, CSBP119-max

Qz1Norm, CENG202, HW1Norm, MATH, HS_GPA, AgeCourseStart, PHYS, CENG205, CSBP119-max, Qz2Norm

Correlation

Positive 0.56% (CSBP119)

Positive 0.79% (MATH, PHYS)

Best ML classifier

XGB

ExtraTrees

Accuracy

0.83

0.84

ROC AUC

0.95

0.96