Abdurrahim AKGÜNDOGDU

BREAST CANCER CLASSIFICATION WITH GENETIC PROGRAMMING

This paper proposes the performance of Genetic Programming (GP) methods on Wisconsin breast cancer data. The Wisconsin Diagnostic Breast Cancer (WDBC) dataset, provided by the University of Wisconsin Hospital, was derived from a group of images using Fine Needle Aspiration (FNA) of the breast. Genetic Programming with different population size was employed to this study. Therefore, GP was trained with 50, 100 and 200 population size and ten-folds cross validation procedure. Results showed %96.6 success rate on 50 population with GP

Keywords:

Genetic Programming, Breast Cancer Classifiers,

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