Table 2 Examples of noisy instances in the dataset
From: An artificial intelligence approach to monitor student performance and devise preventive measures
Gender | Attendance | Major | Year | Session | Grade-1_Cont | CGPA | Sponsorship | Dorms | PreReq_Grades | Final_Grade |
|---|---|---|---|---|---|---|---|---|---|---|
F | 100 | Literature | Year-3 | Morning | 80.0 | 3.04 | Y | N | ? | Low |
F | 81.25 | Literature | Year-4 | Evening | 86.7 | 3.2 | Y | Y | ? | High |
F | 100 | Translation | Year-3 | Morning | 96.7 | 3.63 | Y | N | ? | High |
F | 81.25 | Literature | Year-3 | Evening | ? | 3.2 | Y | Y | 75.5 | ? |