Breast Cancer Prediction Using K Nearest Neighbors, Supprort Vector Machine Techniques

Abstract

Breast cancer disease is the most known able disease in nowadays for women. World topmost death ratio of woman are happen by this type of disease only. We introduce the Support Vector Machine and K Nearest Neighbors. Both algorithms are best to predict the disease in earlier stages.  The machine learning model use 10-fold cross validation to provide accurate results. For the training purposes will use the Wisconsin breast melanoma diagnosis data set. The proposed method experimental result provides best accuracy of the disease detection.