Clustering-based undersampling with random over sampling examples and support vector machine for imbalanced classification of breast cancer diagnosis
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To overcome the two-class imbalanced classification problem existing in the diagnosis of breast cancer, a hybrid of Random Over Sampling Example, K-means and Support vector machine (RK-SVM) model is proposed which is based on sample selection. Random Over Samp... ...
