Choosing Best Machine Learning Algorithm for Breast Cancer Prediction
Throughout the 20th century, views about breast cancer have drastically changed. Breast cancer is the most
common cancer in women worldwide, with nearly 1.7 million new cases diagnosed in 2012. This type of cancer is the
second most common cancer overall. There is lot of information and data, which give opportunity for analyzing some
processes, make some researches in classification and in data mining fields, test some tools of machine learning and make
experiments for tuning main methods of supervised learning. Main part of project is creating useful tool for predicting breast
cancer with high accuracy before getting ill or in initial stage of disease. This work is fascinating because the goal is to
implement a lot of tools for creating web system, which can make effective prediction analysis. In other word, we can
anticipate the future for women diseases.
Keywords- Breast Cancer, Diseases prediction, machine learning methods, scikit, Wisconsin Breast Cancer dataset.