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Detecting relevant variables and interactions in supervised classification.

Abstract:

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 and Regression 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 most relevant for classification. However, when interactions between variables strongly ...

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Publication date:
2011-01-01
UUID:
uuid:ab7ec983-df77-458f-a5cc-0b731cde5044
Local pid:
oai:eureka.sbs.ox.ac.uk:766
Deposit date:
2011-05-31

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