Leukemia cancer classification based on Support Vector Machine
Sung-Huai Hsieh, Zhenyu Wang, Po‐Hsun Cheng, I-Shun Lee, Sheau-Ling Hsieh, Feipei Lai · 2010
In the paper, we classify cancer with the Leukemia cancer of medical diagnostic data. Information gain has been adapted for feature selections. A Leukemia cancer model that utilizes Information Gain based on Support Vector Machines (IG-SVM) techniques and enhancements to evaluate, interpret the cancer classification. The experimental results indicate that the SVM model illustrates the highest accuracy of classifications for Leukemia cancer.