AI RESEARCH
The Value of Graph-based Encoding in NBA Salary Prediction
arXiv CS.LG
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ArXi:2603.05671v1 Announce Type: new Market valuations for professional athletes is a difficult problem, given the amount of variability in performance and location from year to year. In the National Basketball Association (NBA), a straightforward way to address this problem is to build a tabular data set and use supervised machine learning to predict a player's salary based on the player's performance in the previous year.