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In today’s business scene, predictive engines are commended for their accuracy and cost-effectiveness in tackling a wide range of difficulties. This study emphasizes the importance of optimal data utilization. Machine Learning (ML) emerges as an effective approach for improving prediction accuracy in software applications. Fair and competitive salary structures are critical for retention in compensation planning. The study investigates machine learning models for wage prediction, to optimize compensation planning in modern enterprises.

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Machine Learning Models for Salary Prediction: A Comprehensive Literature Survey

  • 会议论文

  • 发表日期：

    2026年

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  • Sunitha Tappari,
  • Arshiya,
  • Ambati Nirmala,
  • Silveru Sowmya,
  • Karedi Suchithra

摘要

In today’s business scene, predictive engines are commended for their accuracy and cost-effectiveness in tackling a wide range of difficulties. This study emphasizes the importance of optimal data utilization. Machine Learning (ML) emerges as an effective approach for improving prediction accuracy in software applications. Fair and competitive salary structures are critical for retention in compensation planning. The study investigates machine learning models for wage prediction, to optimize compensation planning in modern enterprises.