A Survey on Methods to Handle Imbalance Dataset
نویسنده
چکیده
Imbalanced data set, a problem often found in real world application, can cause seriously negative effect on classification performance of machine learning algorithms. There have been many attempts at dealing with classification of unbalanced data sets. To handle the problem of imbalanced data is to re balance them artificially by oversampling and/or under-sampling.
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A Survey on Methods for Solving Data Imbalance Problem for Classification
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