A Novel Methodology Design to Predict Employee Attrition by Using Hybrid Learning Strategy

Numerous businesses often hire new and different personnel and companies invest both time and money into training these reps, and they also provide training for current employees. The goal of such initiatives is to increase the economic security of their staff. Human resource analysis is a subfield of business analytics that aims to boost productivity and profitability by using explanation-based methods to an organization's human resource development (HRD).Human resources evaluation is more than just keeping track of how much information can be gathered on how effective a delegate is. Or, it seeks to shed light on every approach by drawing on cultural and sociological facts, with the goal of making informed choices regarding how to enhance existing methods. The term "Weakening in HR" refers to a gradual decline in a company's human resources department. We will try to disentangle factors that cause less correlation and false prediction by include details including their ages, worker position, average pay, satisfaction with work, decades in firm, duration of present position and so on in the set of data utilized as features. The cost to an organization of staff turnover is a serious issue. Some of the usual expenses of shedding specialists and compensating them include advertising open positions, going through the enlistment process, and relocating to a new location and training zone. To find out is our mission. What causes employee turnover, what variables contribute to it and how does attrition effect businesses? In this lesson, we'll learn how to segment inspections for better preventative care and upkeep. In this study, we provide Hybrid Learning based Employee Attrition Prediction (HLEAP), a novel method for accurately predicting employee turnover. The results of this work compares the suggested method to more traditional learning algorithms like RNN and ANN, providing convincing evidence for the efficacy of the former.