Breast cancer prediction using machine learning models

This paper is to predict the presence of recurrence for breast cancer patients by citing data. As a first step we will collect relevant data on breast cancer patients from the internet. Next, we will use decision trees in Scikit-learn to determine if there will be a recurrence of breast cancer in patients who have been cured. Through a series of calculations and predictions, the accuracy of our experimental model finally reaches 0.75 accuracy. These data can help us to accomplish our target prediction well.