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This is a Quantitative Study study.

The Relationship-Oriented Turnover Prediction in Enterpreneurship Education for Enterprise Employees Based on CART Decision Tree Algorithm

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This analysis explores turnover prediction in employees, showing how loneliness impacts retention, suggesting management adjustments.

Employee loneliness significantly influences turnover intention, indicating a need for management intervention.
Utilizing the CART decision tree algorithm enabled effective prediction of turnover based on workplace loneliness metrics.
A questionnaire survey was conducted to gather relevant data, followed by correlation and regression analyses to establish relationships.
The CART model was implemented with a data set divided into 80% training and 20% test sets to validate the predictions.

Qianqian Chen (2025) studied this question.

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View Full Paper

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Authors

This analysis explores turnover prediction in employees, showing how loneliness impacts retention, suggesting management adjustments.

Employee loneliness significantly influences turnover intention, indicating a need for management intervention.
Utilizing the CART decision tree algorithm enabled effective prediction of turnover based on workplace loneliness metrics.
A questionnaire survey was conducted to gather relevant data, followed by correlation and regression analyses to establish relationships.
The CART model was implemented with a data set divided into 80% training and 20% test sets to validate the predictions.

Qianqian Chen (2025) studied this question.

View Full Paper

Ask AI

Bookmark