According to formal studies, it has been concluded that Breast Cancer is one of the most common cancers which is diagnosed particularly in women. As, Breast Cancer can occur both in men and women but it is mainly found diagnosed in women. Around 14.725% of cases of Breast Cancer are found in India. Many pieces of research are conducted from time to time for early detection of Breast cancer which can help in the timely diagnosis of the disease and the patient can get possible treatment sooner. But It has been found that only 86% of them are diagnosed correctly. Biopsy used to detect cancer contains several shortcomings such as it carries a small risk of bleeding or infection or may cause false defection of disease Hence, the need for a new alternatives method arises that is easy to implement, less risky, reliable, safer, cost more effective and can predict more accurate results. The model proposed in the paper is a combination of the Decision tree, Artificial Neural network K-nearest neighbor & Support Vector Machine.