Learning from Imbalanced Multi-label Data Sets by Using Ensemble Strategies
نویسندگان
چکیده
منابع مشابه
Learning from Imbalanced Data Sets: A Comparison of Various Strategies
Although the majority of concept-learning systems previously designed usually assume that their training sets are well-balanced, this assumption is not necessarily correct. Indeed, there exists many domains for which one class is represented by a large number of examples while the other is represented by only a few. The purpose of this paper is 1) to demonstrate experimentally that, at least in...
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ژورنال
عنوان ژورنال: Computer Engineering and Applications Journal
سال: 2015
ISSN: 2252-5459,2252-4274
DOI: 10.18495/comengapp.v4i1.109