Breast Cancer Classification

Problem

Predict a breast-cancer diagnosis from diagnostic features — a canonical supervised-classification task.

Approach

Data preprocessing, feature selection, and training and evaluating several models (logistic regression, random forest) with accuracy, precision and recall in a notebook.

The tradeoff

An entry project — chosen for fundamentals over novelty, kept simple and interpretable rather than pushing for state-of-the-art.

Known limitations

• An early learning project on a small standard dataset; it has not been packaged or evaluated beyond notebook-level accuracy, precision and recall.