Breast cancer diagnosis using machine learning

In this project me (with my team) was able to develop ML model that predict the existing of breast cancer after performing feature selection on Breast Cancer Wisconsin data set. Using SKlearn Random forest classification model we were able to achieve 95.7% prediction accuracy with only 4 features out of 31 features.