Breast cancer classification

The goal and aim of this project is to compare the accuracy of the various classification models to detect whether the patient has cancer or not, given the relevant data. Breast cancer classification divides carcinoma (cancer that occurs in skin cells) into categories depending on how they have spread or if they have spread at all. Classification algorithms predict, analyse one or more discrete variables, supporting the opposite attributes within the dataset.

Built With

• machine-learning
• python