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You work as a data scientist for a gaming company that manages a popular online multiplayer game. In this game, teams with 6 players each compete against each other in 5-minute battles. The game continually sees an influx of new players every day. Your task is to develop a machine learning model that can automatically assign available players to teams in real time. User research has indicated that players find the game more enjoyable when they are matched with teammates and opponents who have similar skill levels. Considering this, which business metrics should you track to effectively measure the performance of your matchmaking model?
A
Average time players wait before being assigned to a team
B
Precision and recall of assigning players to teams based on their predicted versus actual ability
C
User engagement as measured by the number of battles played daily per user
D
Rate of return as measured by additional revenue generated minus the cost of developing a new model