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Employee Attrition Prediction

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  Employee Attrition Prediction  Introduction In order to start with exercise, The dataset includes features like Age, Employee Role, Daily Rate,JobSatisfaction, Years At Company, Years In Current Role etc. For this exercise, we will try to study the factors that lead to employee attrition. This is a fictional data set .Attrition is a problem that impacts all businesses, irrespective of geography, industry and size of the company. Employee attrition leads to significant costs for a business, including the cost of business disruption, hiring new staff and training new staff. As such, there is great business interest in understanding the drivers of, and minimizing staff attrition.In this context, the use of classification models to predict if an employee is likely to quit could greatly increase the HR’s ability to intervene on time and remedy the situation to prevent attrition.  While this model can be routinely run to identify employees who are most likely to quit, the key driver of success would be the human element of reaching out the employee, understanding the current situation of the employee and taking action to remedy controllable factors that can prevent attrition of the employee.   Abstract 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 bayesmethods 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.  Literation Survey  Employee attrition refers to the gradual loss of employees over time. Most literature on employee attrition categorizes it as either voluntary or involuntary. Involuntary attrition is thought of as the mistake of the employee, and refers to the organization firing the employee for various reasons. Voluntary attrition is when the employee leaves the organization by his own will. This paper focuses on voluntary attrition. A meta-analytic review of voluntary attrition found that the strongest predictors of  voluntary attrition included age, pay, and job satisfaction. Other studies showed that several other features, such as working conditions, job satisfaction, and growth potential also contributed to voluntary attrition . Organizations try to prevent employee attrition by using machine learning algorithms to predict the risk of an employee leaving, and then take pro-active steps for preventing such an incident.
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