Feature selection using genetic algorithm for breast cancer diagnosis: experiment on three different datasets

摘要

Objective(s):This study addresses feature selection for breast cancer diagnosis. The present process uses a wrapper approach using GA-based on feature selection and PS-classifier. The results of experiment show that the proposed model is comparable to the other models on Wisconsin breast cancer datasets.