Skip to main content

Table 1 Attributes of the dataset

From: Improving accuracy of students’ final grade prediction model using optimal equal width binning and synthetic minority over-sampling technique

Attributes Remarks
CGPA Cumulative Grade Point Average. It ranges from 0.00 to 4.00. This is a measure to evaluate students’ past record
Quiz marks Best 4 out of 5 quizzes are counted as per the course policy which was intact throughout the five semesters. The average is taken and is normalized between 0 to 100.
Midterm marks Number of midterm examination differed between 1–2 among all the semesters taken into consideration. For the semesters where two midterms were held, average of them is taken. The data is then normalized between 0 to 100.
Laboratory mark Weight of the laboratory marks varied from semester to semester, therefore, the marks are normalized between 0 to 100.
Attendance marks Ranges from 0 to 100
Final grade This is label our classification models will try to predict. final grade consist of five classes: A,B,C,D,F.