Research on Employee Turnover Prediction Based on Machine Learning Algorithms

Great changes are taking place in enterprise management in the era of big data. As an important part of the company, human resource management is also affected by big data. Starting from human resources combined with data mining, this paper takes the working data of enterprise employees as the main data, through the analysis of data, to understand what factors affect the resignation of employees, the main reasons, and predicts which excellent employees will leave. Through the current popular algorithms (SVM, random forest, neural network, logistic regression, decision tree) to predict the indicators, this research provides a scientific basis for the precise management of enterprises. The contents of this study include: analyzing the factors leading to employee turnover and mining the influence degree of relevant factors; building model through algorithm, and finding the best parameters of the model to predict which employees may leave; selecting the best model and parameters through model comparison. Through the data mining of the departed employees, we can find out the factors affecting the turnover of employees, and make a conclusion based on the analysis results and the actual situation of the enterprise.