Employee attrition prediction with convolutional neural network and synthetic minority over-sampling techniqueEmployee attrition negatively affects organizational efficiency, customer service quality, and brand
Employee Attrition, Job Involvement, and Work Life Balance Prediction Using Machine Learning Classifier Models doi:10.1007/978-981-99-3716-5_72Employee performance is an integral part organizational success, for which Talent management is highly required, and the motivating factors of employee depend ...
Employee churn (aka attrition) is a serious issue for all organizations, but particularly for high-tech industries, service organizations, etc. Losing an employee is a problem for various reasons: 1. It is difficult to find suitable replacements for employees, particularly those with high ...
Corporate image In the dimension of “Corporate image,” the topics extracted from Pro reviews reflect a strong sense of pride in the company, such as its global presence, fast growth, and competitive market position. Employees are proud to be part of an extensive multinational corporation that ...
Table 1: Automated Prediction of Employee Attrition Using Ensemble Model Based on Machine Learning Algorithms
In the past, most of the focus on the ‘rates’ such as attrition rate and retention rates. HR Managers compute the previous rates try to predict the future rates using data warehousing tools. These rates present the aggregate impact of churn, but this is the half picture. Another approach...
Text prediction using SVM regression The dataset of the company employee reviews was prepared for analysis by partitioning it into a training and test set, with an 80/20 split, respectively. The Term Frequency-Inverse Document Frequency (TF-IDF) technique was then utilized to filter out commonly...
but the ramifications of these analyses centred on the interaction of the variables and the prediction of the outcome, without drawing conclusions for the nature of misfit as a psychological feature of employees. These were studies where misfit is a misalignment between P and E variables. The seco...
Employee attrition predictionVarshit JainAnsh AyaDhairya DesaiIJARIIT
Human Resource Analytics: Leveraging Machine Learning for Employee Attrition PredictionOrganizations in the 21st century face a major challenge in the form of employee attrition. Due to increasing prevalence of highly skilled workers, amidst the competition among organizations to secure talented employees, ...