DIAJENG - Comparison of Multiple Linear Regression and Random Forest for Predicting Student Final Grades Using Google Colab

Comparison of Multiple Linear Regression and Random Forest for Predicting Student Final Grades Using Google Colab

Digital Business Intelligence Journal

Universitas 17 Agustus 1945 (UNTAG) Semarang

📄 Abstract

A student's learning success is largely determined by their academic evaluation. Estimating a student's final grade can assist educational institutions in conducting initial assessments of academic achievement. This study aims to analyze the performance of the Multiple Linear Regression (MLR) and Random Forest (RF) algorithms in predicting students' final grades using Google Colab. This research method uses a quantitative approach using secondary data that includes age, mid-term exam scores, final exam scores, and categorical variables as independent variables, with the final grade as the dependent variable. The research process is carried out through data preprocessing steps, dividing training and test data, model training, and performance evaluation using Mean Squared Error (MSE), Mean Absolute Error (MAE), and the coefficient of determination (R2). The results show that the Random Forest algorithm provides more accurate prediction accuracy compared to the Multiple Linear Regression algorithm, especially in identifying nonlinear relationships between variables. Therefore, the Random Forest algorithm is more recommended for predicting students' final grades with complex data characteristics.

🔖 Keywords

#Student Grade Prediction; Multiple Linear Regression; Random Forest; Google Colab; Machine Learning; Prediksi Nilai Mahasiswa; Multiple Linear Regression; Random Forest; Google Colab; Machine Learning

ℹ️ Informasi Publikasi

Tanggal Publikasi

13 February 2026

Volume / Nomor / Tahun

Volume 2, Nomor 1, Tahun 2026

📝 HOW TO CITE

Nuraini, Laili; Nuraini, Laili; Fatma Ayu Widyoputri, Yohana Maritza; Adiguna, Vinsent Brilian, "Comparison of Multiple Linear Regression and Random Forest for Predicting Student Final Grades Using Google Colab," Digital Business Intelligence Journal, vol. 2, no. 1, Feb. 2026.

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Comparison of Multiple Linear Regression and Random Forest for Predicting Student Final Grades Using Google Colab

📄 Abstract

🔖 Keywords

ℹ️ Informasi Publikasi

📝 HOW TO CITE

Download Citation

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