An Artificial Neural Network and Infographic Based Approach for Predicting Employee Attrition

Abstract

Making decisions is an essential managerial skill and can be the most important step in the planning process. Employee attrition is seen as a well-known issue that the administration needs to address if it wants to keep highly qualified staff. It's interesting to note that using artificial intelligence as a powerful tool to foresee such a problem is commonly done. Utilizing the ANN deep learning model is the proposed study. To improve the prediction of employee attrition, artificial neural networks also conduct comparison analysis with earlier research models and use a variety of preprocessing methods. The proposed model's maximum Training Accuracy or Validation Accuracy were 98.25 and 89.88 respectively, in comparison to earlier research models like SVM, LSTM, & GRU. The proposed model ANN produced the lowest Validation Loss of 0.0674 with the Lowest Training Loss of 0.3351, respectively.