Modern Scala Projects

Breast cancer classification problem

At the moment supervised learning is the most common class of ML problems in the business domain. In Chapter 1, Predict the Class of a Flower from the Iris Dataset, we approached the Iris classification task by employing a powerful supervised learning classification algorithm called Random Forests, which at its core depends on a categorical response variable. In this chapter, besides the Random Forest approach, we also turn to yet another intriguing yet popular classification technique, called logistic regression. Both approaches present a unique solution to the prediction problem of breast cancer prognosis, while an iterative learning process is a common denominator. The logistic regression technique ...