The variable selection problem and the application of the roc curve for binary outcome variables
Variable selection refers to the problem of selecting input variables that are most predictive of a given outcome. Variable selection problems are found in all machine learning tasks, supervised or unsupervised, classification, regression, time series prediction , two - class or multi-class, posing...
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2013
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| Online Access: | http://hdl.handle.net/2263/27133 http://upetd.up.ac.za/thesis/available/etd-08112008-104847/ |