Predicting Breast Cancer using effective Classification with Decision Tree and K Means Clustering technique

Breast Cancer has been an emerging form of threat to life of women. It leads to death in many cases. It is important to work towards the preventive and precautionary measures for the same. Thus, as a precautionary measure to predict this breast cancer a model has been created. The proposed model thus uses two algorithms namely K-means and Decision Trees to predict Breast Cancer Cells in the human body by using large datasets available.