An approach for predicting employee churn by using data mining

@article{Yiit2017AnAF,
  title={An approach for predicting employee churn by using data mining},
  author={İbrahim Onuralp Yiğit and Hamed Shourabizadeh},
  journal={2017 International Artificial Intelligence and Data Processing Symposium (IDAP)},
  year={2017},
  pages={1-4}
}
Employee churn prediction which is closely related to customer churn prediction is a major issue of the companies. Despite the importance of the issue, there is few attention in the literature about. In this study, we applied well-known classification methods including, Decision Tree, Logistic Regression, SVM, KNN, Random Forest, and Naive Bayes methods on the HR data. Then, we analyze the results by calculating the accuracy, precision, recall, and F-measure values of the results. Moreover, we… CONTINUE READING

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