WITHDRAWN: An analysis on prediction of breast cancer using radius Nearest Neighbor algorithm over other classification algorithms

Abstract

Breast cancer is the subsequent leading and high mortality rated disease among women worldwide in both developed and undeveloped countries. Breast cancer is categorized as benign and malignant with the symptoms of changes in size, skin textures of breasts, continuous pain in breasts, change of color into red etc. At the present time, machine learning algorithms are used for classifying breast cancer either malignant or benign. In this paper, we used Radius Nearest Neighbor classifier which is an extension of k-Nearest Neighbor algorithm to classify breast cancer and to calculate its accuracy, specificity and sensitivity. This algorithm performance metrics are compared with Decision Tree, k-Nearest Neighbor and Support Vector Machine algorithms and resulted that Radius Nearest Neighbor algorithm gives high performance metrics among all the compared algorithms with 98.8% accuracy, sensitivity 98.8% and specificity 97.9%.