Correlation Based Breast Cancer Detection using Machine Learning

Breast cancer is mostly identified in women and the statistics confirms that the mortality rate of women's due to breast cancer tremendously increasing. Even though the cancer may lead to death, but early prediction may result as a curable disease. Early prediction of breast cancer may lead to survival of patients. During prediction of any disease there is always some missing of accuracy and wrong prediction occurs. But the accurate classification can prevent the patient from unnecessary deaths and illness. This paper mainly focuses on the Machine learning (ML) algorithm. This algorithm is mainly used for classification of the dataset and patterns of various modelling. The primary data set of breast cancer is procured out of Wisconsin Breast Cancer Dataset (WBCD), which is one dimensional implemented for classification purpose of different algorithm.