Boosting methods for multi-class imbalanced data classification: an experimental review
نویسندگان
چکیده
منابع مشابه
A Review of Multi-Class Classification for Imbalanced Data
Prediction and correct voting is critical task in imbalance data multi-class classification. Accuracy and performance of multi-class depends on voting and prediction of new class data. Assigning of new class of imbalance data generate confusion and decrease the accuracy and performance of classifier. Various authors and research modified the multiclass classification approach such as one agains...
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ژورنال
عنوان ژورنال: Journal of Big Data
سال: 2020
ISSN: 2196-1115
DOI: 10.1186/s40537-020-00349-y