The document discusses a predictive analytics use case for human resource attrition, which helps companies identify employees likely to leave and those likely to stay based on factors like job satisfaction and demographic information. It employs binary logistic regression for classification accuracy, with reliable results achieved at 70% or higher. The model can output probabilities of employee attrition, flagging individuals as 'likely to leave' or 'unlikely to leave'.
Related topics: