D-optimal plans in observational studies
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Date
2005-11-07T11:40:01Z
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Abstract
This paper investigates the use of Design of Experiments in observational studies in order to select informative observations and features
for classification. D-optimal plans are searched for in existing data and based on these plans the variables most relevant for classification
are determined. The adapted models are then compared with respect to their predictive accuracy on an independent test sample. Eight different data sets are investigated by this method.
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Keywords
D-optimality, Feature Selection, Genetic Algorithm, Prototypes