[Retracted] Enhancement of Predicting Students Performance Model Using Ensemble Approaches and Educational Data Mining Techniques

Table 2

Predictive models’ metrics for describing a student’s performance.

Students’ performance is described using metrics	Count
The range of course grades (A, B, D, and E/pass-fail/division)	26
Grades/marks/scores for the course	18
Assignments (time to complete/performance)	2
GPA/CGPA	8
Dropout/attrition at risk	17
Graduate/retention	2
Vague performance	9