Identifying Exceptional Players in NHL and NBA Drafts Using Model Trees
Explore a study on identifying exceptional players in NHL and NBA drafts through the innovative use of model trees. The research delves into the challenges of drafting prospects, existing regression and similarity-based models, dataset input, and the development of a unique model tree combining various approaches. Discover insights on player selection strategies and the application of machine learning in sports analytics.
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