HR Attrition Analysis and Prediction System Using Ensemble Methods

G. Satish; Mamidisetti Pooja Sree; Kudupudi Teja Sree; Varada Gayathri; Nethala Suma Sree; Prof. Y. Venkat

doi:10.64643/ijirtv12i11-197131-459

April 13, 2026International Journal of Innovative Research in TechnologyOpen Access

HR Attrition Analysis and Prediction System Using Ensemble Methods

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Key Points

The main aim is to analyze and predict human resources attrition using ensemble methods.
Utilized ensemble methods to assess attrition prediction accuracy
Conducted evaluations based on various teaching programs
Analyzed data through machine learning techniques
Achieved a significant improvement in prediction accuracy with ensemble methods
Demonstrated effectiveness in reducing attrition rates based on predictive analytics
Highlighting the relevance of systematic waste management education among women

Implication

Evaluates prediction system effectiveness for attrition in workforce, indicating improvements in HR practices.

Abstract

Explore the article titled HR Attrition Analysis and Prediction System Using Ensemble Methods from IJIRT Volume 12, Issue 11. This study evaluates the effectiveness of teaching programs on waste management knowledge among women.

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Cite This Study

Satish et al. (2026) studied this question.

synapsesocial.com/papers/69ec5b8a88ba6daa22dad05c https://doi.org/10.64643/ijirtv12i11-197131-459

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HR Attrition Analysis and Prediction System Using Ensemble Methods

Key Points

Implication

Abstract

Discussion

Cite This Study

HR Attrition Analysis and Prediction System Using Ensemble Methods

Key Points

Implication

Abstract

Discussion

Cite This Study

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