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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