Abstract by Tyler Moncur
Binary Classification on Individual Transitions between Organizations
Organizations and groups are dynamic; individual members join and leave groups constantly. This is clearly the case with any team, company, or department. The goal of this research project is to predict this dynamic aspect of groups. We use data for baseball teams as a case study to predict when individual players will leave their team. Various features of the baseball data set are used to makes predictions, which can be generalized to other groups, such as length of career, position, and number of games played. We apply machine learning algorithms to this problem to make and evaluate our predictions, specifically which individuals remain and which individuals leave the organization.