Biased support vector machine and weighted-smote in handling class imbalance problem
نویسندگان
چکیده
منابع مشابه
New Fuzzy Support Vector Machine for the Class Imbalance Problem in Medical Datasets Classification
In medical datasets classification, support vector machine (SVM) is considered to be one of the most successful methods. However, most of the real-world medical datasets usually contain some outliers/noise and data often have class imbalance problems. In this paper, a fuzzy support machine (FSVM) for the class imbalance problem (called FSVM-CIP) is presented, which can be seen as a modified cla...
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ژورنال
عنوان ژورنال: International Journal of Advances in Intelligent Informatics
سال: 2018
ISSN: 2548-3161,2442-6571
DOI: 10.26555/ijain.v4i1.146