Efficient Feature Selection Approach For Breast Cancer Classification Using Machine Learning

Abstract

Breast cancer detection and classification is very important area and it is playing vital role in saving human life if we detect in early stage. In this research, we have used only 4 features for detecting cancer or non cancer image identification. By using 6 features with other classifying methods they got only 98% accuracy. By using this feature analysis, method and feed forward backpropagation classification method given 100% accuracy, sensitivity and specificity. Compared with the existing methods it has given better accuracy.