Research Article
[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 |
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