Detecting relevant variables and interactions in supervised classification
نویسندگان
چکیده
منابع مشابه
Detecting relevant variables and interactions in supervised classification
The widely used Support Vector Machine (SVM) method has shown to yield good results in Supervised Classification problems. When the interpretability is an important issue, then classification methods such as Classification Trees (CART) might be more attractive, since they are designed to detect the important predictor variables and, for each predictor variable, the critical values which are mos...
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ژورنال
عنوان ژورنال: European Journal of Operational Research
سال: 2011
ISSN: 0377-2217
DOI: 10.1016/j.ejor.2010.03.020