IGNOU MCSL 223 2026 2027 - Student Performance dataset with attributes: Student ID, Attendance Pe

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 an ARFF (Attribute-Relation File Format) file, which is the standard input format used by WEKA. The ARFF file consists of two sections: the header section containing the relation and attribute definitions, and the data section containing the actual records. The corresponding ARFF file is as follows. ```arff @relation StudentPerformance @attribute StudentID string @attribute Attendance numeric @attribute InternalMarks numeric @attribute AssignmentScore numeric @attribute StudyHours numeric @attribute FinalGrade {A,B,C,D} @data 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 ``` To perform clustering in WEKA, the ARFF file is loaded into the WEKA Explorer interface. The steps include launching

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