International Journal of Educational Technology in Higher Education

Table 9 AUC performance of ExtraTrees model classifying students into Good and AtRisk groups

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

Features	C1	C1,C2	C1,C2,C3	C1, C2, C3, C4
C	0.664	0.930	0.946	0.992
C + RF	0.691	0.958	0.959	1.000
Gain	+ 4.07%	+ 3.01%	+ 1.37%	+ 0.8%

\(C_i\) checkpoints added cumulatively
RF risk flag added to each checkpoint

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