Student Grade Prediction using Gradient Boosting Classifier

Annakula Srikanth; Alluri Abhi Karthikeya; Dr. B Venkateswara Rao

Student Grade Prediction using Gradient Boosting Classifier

February 2023

Vol-9, Issue-1

Paper ID: 19302

ISSN: 2395-4396

Downloads: 0

Abstract & Details

Research Area

Computer Engineering

Keywords

Gradient Boosting Classifier Algorithm Student Grade Prediction Predictive Accuracy Performance Indicator

Abstract

Educational institutions are increasingly interested in predictive analytics applications, which utilize advanced analytics, including machine learning, to provide high-quality performance data and meaningful insights across all education levels. One crucial performance indicator for students is their grades, and over the past decade, researchers have explored various machine learning techniques to predict them. However, imbalanced datasets have posed significant challenges to achieving accurate predictions. Our project aims to analyze machine learning techniques comprehensively to improve the accuracy of predicting final grades for students in their respective courses, specifically addressing the issue of imbalanced multi-classification. Our proposed model shows promising results that can enhance the predictive accuracy of student grade predictions.

License

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Author Information

#	Name	Institute / Affiliation
1	Annakula Srikanth	B V Raju Institute of Technology
2	Alluri Abhi Karthikeya	B V Raju Institute of Technology
3	Dr. B Venkateswara Rao	B V Raju Institute of Technology

How to Cite

Use the following formats to cite this article in your research.

APA Style

Srikanth, Annakula, Karthikeya, Alluri Abhi, & Rao, Dr. B Venkateswara (2023). Student Grade Prediction using Gradient Boosting Classifier. International Journal of Advance Research and Innovative Ideas In Education, 9(1), 1758-1763.

MLA Style

Srikanth, Annakula, et al. "Student Grade Prediction using Gradient Boosting Classifier." International Journal of Advance Research and Innovative Ideas In Education, vol. 9, no. 1, 2023, pp. 1758-1763.

IEEE Style

Annakula Srikanth, Alluri Abhi Karthikeya, and Dr. B Venkateswara Rao, "Student Grade Prediction using Gradient Boosting Classifier," International Journal of Advance Research and Innovative Ideas In Education, vol. 9, no. 1, pp. 1758-1763, 2023.

Vancouver Style

Srikanth Annakula, Karthikeya Alluri Abhi, Rao Dr. B Venkateswara. Student Grade Prediction using Gradient Boosting Classifier. International Journal of Advance Research and Innovative Ideas In Education. 2023;9(1):1758-1763.

Harvard Style

Srikanth, Annakula, Karthikeya, Alluri Abhi, & Rao, Dr. B Venkateswara (2023) 'Student Grade Prediction using Gradient Boosting Classifier', International Journal of Advance Research and Innovative Ideas In Education, 9(1), pp. 1758-1763.

Chicago Style

Srikanth, Annakula, Alluri Abhi Karthikeya, and Dr. B Venkateswara Rao. "Student Grade Prediction using Gradient Boosting Classifier." International Journal of Advance Research and Innovative Ideas In Education 9, no. 1 (2023): 1758-1763.

Turabian Style

Srikanth, Annakula, Alluri Abhi Karthikeya, and Dr. B Venkateswara Rao. "Student Grade Prediction using Gradient Boosting Classifier." International Journal of Advance Research and Innovative Ideas In Education 9, no. 1 (2023): 1758-1763.