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August 7, 2025International Scientific Journal of Engineering and Management

Predicting Online Gaming Engagement Levels Using Machine Learning Models

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Authors

GSGORIBIDDI SHRIKANTHMKMurugesan Mohana Keerthi

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Overview

This application predicts user engagement levels in online gaming, highlighting effective machine learning methods.

Key Points

  • The application predicts user engagement levels based on various player data, including demographics and gameplay statistics.
  • Machine learning techniques like random forest and gradient boosting are used, achieving robust performance as indicated by ROC-AUC scores.
  • Preprocessing techniques include handling outliers, and encoding categorical variables to optimize model training and evaluation.
  • Results inform game developers on player engagement strategies, enhancing user experience and gameplay design.

Cite This Study

SHRIKANTH et al. (2025) studied this question.

synapsesocial.com/papers/689522189f4f1c896c429e38https://doi.org/10.55041/isjem04952
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