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Evaluating Machine Learning Algorithms to Detect Employees' Attrition

Research article (2022 3rd International Conference on Artificial Intelligence, Robotics and Control (AIRC), 2022) · cited 10× · AI/ML
academia openalex:W4288390014
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Evaluating Machine Learning Algorithms to Detect Employees' Attrition

Summary

Evaluating Machine Learning Algorithms to Detect Employees' Attrition is a scholarly article[1].

Key Facts

  • Evaluating Machine Learning Algorithms to Detect Employees' Attrition's instance of is recorded as scholarly article[2].

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Direct Wikidata claims

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  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Evaluating Machine Learning Algorithms to Detect Employees' Attrition. Retrieved May 24, 2026, from https://4ort.xyz/entity/evaluating-machine-learning-algorithms-to-detect-employees-attrition
MLA “Evaluating Machine Learning Algorithms to Detect Employees' Attrition.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/evaluating-machine-learning-algorithms-to-detect-employees-attrition.
BibTeX @misc{4ortxyz_evaluating-machine-learning-algorithms-to-detect-employees-attrition_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Evaluating Machine Learning Algorithms to Detect Employees' Attrition}}, year = {2026}, url = {https://4ort.xyz/entity/evaluating-machine-learning-algorithms-to-detect-employees-attrition}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Evaluating Machine Learning Algorithms to Detect Employees' Attrition — https://4ort.xyz/entity/evaluating-machine-learning-algorithms-to-detect-employees-attrition (retrieved 2026-05-24)

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