A new hybrid method to improve the effectiveness of cancer data classification

In this paper, we present an overview of the imbalanced data classification and the difficulties encountered in current approaches, from which we propose a new method, SMOTE-PLS. To evaluate the effectiveness of this new method, we conducted experiments based on standard cancer data sets from UCI sources, including breast-p, coil2000, leukemia, colon-cancer, and yeast.