Envisaging and Retaining College Workforce Attrition using Machine Learning and Ensemble Learning

The aim of this study is to identify attrition of college workforce in a contextual manner to find attrition for the college. Attrition occurs when an employee leaves a job for any reason. The attrition factor is faced in many organizations, in nominated educational colleges, or universities. Attrition is gradual reduction in number of employees. Finding the right individuals with the correct talents employed at the right location and time can be costly for an organization in the event of attrition. Due to attrition, employees create instability in their lives. We focus on finding out which employee is beneficial to the organization and why he is leaving the organization using ML models, and ensemble models. We focus on creating our dataset of the college by taking a questionnaire survey. The two main factors that are responsible for attrition are “job satisfaction and salary”.