Comparative Analysis of Machine Learning Algorithms for Breast Cancer Prognosis

Abstract

In the past few years, gynecological cancers have taken their toll on women’s health. Breast cancer is the major cause of cancer death followed by ovarian cancer and others. In this paper, we aim at finding the cancer status of the patient, whether it is benign or malignant. Data is collected from WISCONSIN dataset of UCI machine learning Repository. The dataset includes the cases of patients who are at risk of developing the cancer or have redeveloped the cancer. Different attribute selection techniques are applied on the data set. Further, different classification algorithms are used to compare and analyze the results.