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Published Subscription Original Research
Building a Fair and Transparent Student Performance Predictor Using Interpretable Machine LearningBy Preyash Choudhary, Ankur Das, Sonu Gupta
Abstract: This research incorporates a new, ethical framework that will help predict student performance based upon equitable access for all students, with a specific focus on the principles of ethics (fairness, transparency). The primary focus of this work is to use a scaled Random Forest Regressor (RFR) model to project Semester Three CGPA of MCA students, by including several different enrichment factors into a single comprehensive enriching dataset containing sem1 and …
Published in International Journal of Education Sciences · Vol. 3, Issue 2, 2026 · pp. 48–56 Read article →