Excel and VBA demo of Identification of Breast Cancer via Binary Logistic Machine Learning with Gradient Descent.

This model illustrates the use of logistic regression-based machine learning in identifying the most important features of a given data set. In this case using the classical UCLA Breast Cancer database as an example. This method generates accuracy levels of over 90% on well chosen data sets.