Table 1 The list of student features with description
From: An artificial intelligence approach to monitor student performance and devise preventive measures
Feature | Description | Values |
|---|---|---|
Gen | Gender of the student | Male, Female |
Attendance | Attendance in the class | Real (Percent) |
Major | Major of the student | Translation, Literature |
Year | Year of study | From 1 to 4 |
Session | Whether student study in morning or evening | Morning, Evening |
Grade-1_Cont | Grades in Exam-1 | Real (Percent) |
CGPA | Cumulative Grade Points Average of student | Real (0–4) |
Sponsorship | Whether sponsored for study by government | Yes, No |
Dorm | Whether resides in hostel | Yes, No |
PreReq_Grades | Grades in the prerequisite subject | Real (Percent) |
Final_Grade | Prediction Class | Low and High |