Identify breast cancer using machine learning algorithm

Breast cancer is one of the severe disease among women worldwide. In this paper Machine Learning algorithm is used to predict the severity of breast cancer. Clinical Dataset is utilized for analysis using Machine Learning algorithm called Support Vector Machine. In this area cancer growth also reviewed stage by stage and suitable diagnosis can be suggested to prevent them from its severity. As an extension to the previous researches related to the discovery of breast cancer, we proposed a model to help in resolving the difficulty of determining the degree of risk for the disease and to get best practices, abatement time and expense with the objective of advancing wellbeing, based on data collected from hospitals. The model is applying classification techniques such as Support vector machine on the collected breast cancer data, which in turn predicts the severity of breast cancer. After evaluation and testing using the mentioned classification techniques on the breast cancer dataset, we obtained an accuracy of 94%, which is an accepted rate of prediction for the severity of breast cancer. This paper will discuss about the accuracy of the algorithm and prediction using dataset.