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13

PRL
2006

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Classifier evaluation under limited resources

13 years 4 months ago

Classifier evaluation under limited resources

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Existing evaluations measures are insufficient when probabilistic classifiers are used for choosing objects to be included in a limited quota. This paper reviews performance measures that suit probabilistic classification and introduce two novel performance measures that can be used effectively for this task. It then investigates when to use each of the measures and what purpose each one of them serves. The use of these measures is demonstrated on a real life dataset obtained from the human resource field and is validated on set of benchmark datasets.

Reuven Arbel, Lior Rokach

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Added	14 Dec 2010
Updated	14 Dec 2010
Type	Journal
Year	2006
Where	PRL
Authors	Reuven Arbel, Lior Rokach

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