• M. Ravi
• A. Nirmai
• A. Krishitha
• CH. Madhan Mohan Reddy

Now a day’s Employee Attrition prediction become a major problem in the organizations. Employee Attrition is a big issue for the organizations specially when trained, technical and key employees leave for a better opportunity from the organization. This results in financial loss to replace a trained employee. Therefore, we use the current and past employee data to analyze the common reasons for employee attrition or attrition. For the prevention of employee attrition, we applied a well known classification methods, that is, Decision tree, Logistic Regression, SVM, KNN, Random Forest, Naive bayes methods on the human resource data. For this we implement feature selection method on the data and analysis the results to prevent employee attrition. This is helpful to companies to predict employee attrition, and also helpful to their economic growth by reducing their human resource cost.

Prediction of Employee Attrition using Randomforest Classifier Technique

"Prediction of Employee Attrition using Randomforest Classifier Technique", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.7, Issue 2, page no.100-104, February 2020, Available :http://www.jetir.org/papers/JETIR2002420.pdf

"Prediction of Employee Attrition using Randomforest Classifier Technique", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 2, page no. pp100-104, February 2020, Available at : http://www.jetir.org/papers/JETIR2002420.pdf