# Wisconsin-Breast-Cancer-ML Breast cancer diagnosis using ensemble learning methods Achieved F1 score of 0.9913 on testing set using extremely randomized trees dataset provided by University of Wisconsin to UCI Machine Learning Repository, Lichman, M. (2013). UCI Machine Learning Repository [http://archive.ics.uci.edu/ml]. Irvine, CA: University of California, School of Information and Computer Science downloaded from Kaggle (https://www.kaggle.com/uciml/breast-cancer-wisconsin-data) write-up included as pdf Software used- Python 2.7 Jupyter/IPython notebook NumPy Pandas Matplotlib Scikit-learn