Employee Attrition Prediction Using Feature Selection with Information Gain and Random Forest Classification

Employee attrition is the loss of employees in a company caused by several factors, namely resigning, retiring, or other factors. can have negative impact on if it not handled properly, including decreased productivity. The also requires more time and effort to recruit train new fill vacant positions. This prediction aims help human resources (HR) department find out what factors influence occurrence employee attrition. research implements Random Forest while comparing Information Gain, Select K Best, Recursive Feature Elimination feature selection methods which produces best performance. implementation aforementioned outperforms previous terms accuracy, precision, recall, f1 scores. In preparing this research, first author collects data sets, makes programs, compiles journals. second assists programming journal. From results tests that been carried out, Gain highest accuracy value 89.2%, Best an 87.8% 88.8%.