Evaluation of Student Classification Based On Decision Tree

Provided by: International Journal of Advanced Research in Computer Science and Software Engineering (IJARCSSE)
Topic: Big Data
Format: PDF
In this paper the authors put forward a simple approach for categorizing student data using decision tree based approach. In this discussion one can identify several different alternatives used for categorization followed by simple architecture. In this paper, a database for five subjects' marks of 100 students for each four different classes named with excellent student, above average student, below average student and poor student. For taking measures of category of specific student, a frequency measure is used as a feature extraction.

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