Finding Common Characteristics Among NBA Playoff and Championship Teams: A Machine Learning Approach

18 Apr 2016 Ikjyot Singh Kohli

In this paper, we employ machine learning techniques to analyze seventeen seasons (1999-2000 to 2015-2016) of NBA regular season data from every team to determine the common characteristics among NBA playoff teams. Each team was characterized by 26 predictor variables and one binary response variable taking on a value of "TRUE" if a team had made the playoffs, and value of "FALSE" if a team had missed the playoffs... (read more)

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