Our solution uses the test results and ultimate diagnosis of hundreds of breast cancer patients and trains a model to predict whether a new sample is the case of a benign tumor or a malignant one. The aim is to have doctors not only rely on memory or even knowledge in order to correctly diagnose a patient. This model, combined with a doctor’s knowledge and experience can ultimately lead to diagnoses that are close to 100% correct.