Scholarlink

With the use of predictive analytics, managers may boost their company’s performance in areas including hiring, retaining, training, and incentivizing employees. Predictive analytics in the field of human resources aids businesses in foreseeing potential outcomes, boosting productivity, and adjusting to theoretical shifts in the workplace. Succession and staff retention plans may be made with the use of accurate projections. The necessary modeling information may be found in HR database systems. Learn about the differences between the classification algorithms often used in machine learning include Naive Bayes, support vector machines (SVM), decision trees, random forests, logistic regression, machine learning, and K-nearest neighbors (KNN) in this article. Theoretical analysis is conducted to see how well each method accounts for turnover and company expansion.

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Using Predictive Analysis Methods to Gain Insight into Employee Turnover from the Perspective of Organizational Change

  • 会议论文

  • 发表日期：

    2025年

查看全文
  • Arti Singh,
  • Raja Kamal Ch,
  • Sanjeev Chauhan

摘要

With the use of predictive analytics, managers may boost their company’s performance in areas including hiring, retaining, training, and incentivizing employees. Predictive analytics in the field of human resources aids businesses in foreseeing potential outcomes, boosting productivity, and adjusting to theoretical shifts in the workplace. Succession and staff retention plans may be made with the use of accurate projections. The necessary modeling information may be found in HR database systems. Learn about the differences between the classification algorithms often used in machine learning include Naive Bayes, support vector machines (SVM), decision trees, random forests, logistic regression, machine learning, and K-nearest neighbors (KNN) in this article. Theoretical analysis is conducted to see how well each method accounts for turnover and company expansion.