Cost-sensitive decision tree ensembles for effective imbalanced classification
نویسندگان
چکیده
منابع مشابه
Cost-sensitive decision tree ensembles for effective imbalanced classification
Real-life datasets are often imbalanced, that is, there are significantly more training samples available for some classes than for others, and consequently the conventional aim of reducing overall classification accuracy is not appropriate when dealing with such problems. Various approaches have been introduced in the literature to deal with imbalanced datasets, and are typically based on over...
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ژورنال
عنوان ژورنال: Applied Soft Computing
سال: 2014
ISSN: 1568-4946
DOI: 10.1016/j.asoc.2013.08.014