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September 5, 2025Open Access

Predicting test scores using random forest regression

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Authors

JPJaikrishna Sanmukha Pedada

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Overview

Predictive analytics forecasts test scores in students, suggesting machine learning can enhance EdTech.

Key Points

  • Predictive analytics improves forecasting of student test scores, enhancing personalized instruction.
  • Results indicate the model effectively predicts student performance based on prior test scores.
  • Analysis employed random forest regression to develop a predictive model for educational outcomes.
  • This research highlights the potential of machine learning in supporting personalized learning strategies.

Cite This Study

Jaikrishna Sanmukha Pedada (2025) studied this question.

synapsesocial.com/papers/68bb3a492b87ece8dc9558c1https://doi.org/10.21203/rs.3.rs-7455681/v1
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