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- W2348939641 abstract "A simple but systematic experimental study has been performed about the effect of data imbalance and other factors on support vector classification machines.The experimental results show that the nature of data imbalance is the imbalance of the boundary information,whose existence may lead to the undesirable bias of the classifiers and further degrade their performances.Enlarging the size of the training sample sets may enrich the boundary information and lessen the bad effect on the classifiers brought by data imbalance.However,when the complexity of the concepts to be learned is high,it is very difficult for the classifiers to obtain the ideal decision boundary,even if the data is balanced." @default.
- W2348939641 created "2016-06-24" @default.
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- W2348939641 date "2008-01-01" @default.
- W2348939641 modified "2023-09-24" @default.
- W2348939641 title "The Effect of Data Imbalance and Others on SVM Classifiers—Experimental Study" @default.
- W2348939641 hasPublicationYear "2008" @default.
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