RUSBoost: A Hybrid Approach to Alleviating Class Imbalance
نویسندگان
چکیده
منابع مشابه
Alleviating the Class Imbalance problem in Data Mining
The class imbalance problem in two-class data sets is one of the most important problems. When examples of one class in a training data set vastly outnumber examples of the other class, standard machine learning algorithms tend to be overwhelmed by the majority class and ignore the minority class. There are several algorithms to alleviate the problem of class imbalance in literature. In this pa...
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Class imbalance and class overlap are two of the major problems in data mining and machine learning. Several studies have shown that these data complexities may affect the performance or behavior of artificial neural networks. Strategies proposed to face with both challenges have been separately applied. In this paper, we introduce a hybrid method for handling both class imbalance and class ove...
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For class imbalance problem, the integration of sampling and ensemble methods has shown great success among various methods. Nevertheless, as the representatives of sampling methods, undersampling and oversampling cannot outperform each other. That is, undersampling fits some data sets while oversampling fits some other. Besides, the sampling rate also significantly influences the performance o...
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We show that the novelty detection approach is a viable solution to the class imbalance and examine which approach is suitable for different degrees of imbalance. In experiments using SVM-based classifiers, when the imbalance is extreme, novelty detectors are more accurate than balanced and unbalanced binary classifiers. However, with a relatively moderate imbalance, balanced binary classifiers...
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Class imbalance problem are raised when one class having maximum number of examples than other classes. The classical classifiers of balance datasets cannot deal with the class imbalance problem because they pay more attention to the majority class. The main drawback associated with it majority class is loss of important information. The Class imbalance problem is a difficult due to the amount ...
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ژورنال
عنوان ژورنال: IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans
سال: 2010
ISSN: 1083-4427,1558-2426
DOI: 10.1109/tsmca.2009.2029559