Predicting the NBA Playoff Using SVM

Amruta Jadhav, Sandhya Das, Savita Khatode, Rohini Degaonkar

Abstract


In this paper, we examine the use of Support Vector machine as a tool for predicting the success of basketball teams in the National Basketball Association (NBA). Statistics for 2012–2015 NBA games were collected and used to examine and predict the outcome of NBA playoffs. The best results were able to correctly predict the winning team is 88 percent. Further, we investigate which subset of features input to the SVM model are the most salient features for prediction.


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