Predicting the Admission Decision of Models.

      Аннотация: The purpose of this book is to develop new hybrid admission decision prediction models by using different machine learning methods combined with feature selection algorithms to investigate the effect of the predictor variables on the admission decision of a candidate to the School of Physical Education and Sports at Cukurova University. Experiments have been conducted on the datasets, which contain data of participants who applied to the School in 2006 and 2007.

Ключевые слова: Feature Selection, Machine Learning