Question

Student Performance dataset with attributes: Student ID, Attendance Percentage, Internal
Assessment Marks, Assignment Score, Study Hours per Week, and Final Grade.
Assume creating the above files in .csv format and prepare it as .arff file. You may process the files and apply the clustering mechanism using WEKA.

30 Jul 2026
Answer :
Word Count : 478
A Student Performance dataset can be created in CSV format using attributes such as Student ID, Attendance Percentage, Internal Assessment Marks, Assignment Score, Study Hours per Week, and Final Grade. The dataset is first prepared in a spreadsheet application like Microsoft Excel or LibreOffice Calc and then saved with the .csv extension. A sample CSV dataset is shown below. ``` StudentID,Attendance,InternalMarks,AssignmentScore,StudyHours,FinalGrade S101,92,88,90,18,A S102,80,72,75,12,B S103,68,60,58,8,C S104,95,94,96,20,A S105,74,65,67,10,B S106,55,50,48,5,D S107,85,80,82,14,B S108,97,96,98,22,A S109,60,55,57,6,C S110,78,70,72,11,B ``` The CSV file is then converted into _________ _____ _____ ________ ______ _______ __________ ____ _________ ________ ________.
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