The use of classification and regression tree when classifying winning and losing basketball teams
… The aim of the present study was to identify the best predictors when classifying winning and
losing teams in basketball in consideration of situational variables by the classification and
regression tree (CRT) non-parametric analysis. The sample was composed of 1,404 balanced
games (score-differences: 1-14 points) from the Spanish EBA … The aim of the present study
was to identify the game-related statistics that could best predict the game outcome (ie, winning
or losing) in balanced basketball games related to situational variables (ie, game pace, game …
losing teams in basketball in consideration of situational variables by the classification and
regression tree (CRT) non-parametric analysis. The sample was composed of 1,404 balanced
games (score-differences: 1-14 points) from the Spanish EBA … The aim of the present study
was to identify the game-related statistics that could best predict the game outcome (ie, winning
or losing) in balanced basketball games related to situational variables (ie, game pace, game …
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The aim of the present study was to identify the best predictors when classifying winning and losing teams in basketball in consideration of situational variables using the classification and regression tree (CRT)
hrcak.srce.hr
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