Employee Attrition Prediction using Logistic Regression
Year: 2020
Type: article
Abstract: Worker wearing down is a circumstance looked by an association when the representative leaves the organization to join other association when he shows signs of improvement offer. It can likewise be named as Employee Defection. For the most part representative whittling down will be high when there is a squeezing need of workers in a specific industry because of mass retirements or development of association. At a certain point of time programming industry has confronted high whittling down rate by businesses because of enormous openings comprehensively in the product business because of the interest for programming items by all enterprises. Lessening the worker steady loss rate is a difficult issue looked by HR supervisors. This paper gives a definite perspective on foreseeing the representative turnover utilizing the Machine Learning algorithms. The forecast is finished utilizing the information sourced by IBM HR investigation. We utilized the Logistic Regression for the expectation and we got 85% exactness rate.
Author: Sri Ranjitha Ponnuru
Language: English
Topic: AI and HR Technologies
Domain: Social Sciences
Open Access status: diamond
OpenAlex ID: W3033214463