Decision Boundary Explorer

Supervised Learning

Decision Boundary Explorer

Comparing classifiers through the regions they assign.

What This Shows

Compare how classifiers partition the same feature space under different assumptions. The visualization helps explain why model choice is not only about accuracy: geometry, noise, class overlap, and inductive bias shape the decisions a system will make.

Classification Decision boundaries Supervised learning Model comparison Statistical learning

Technical Challenge

Understanding how classifier assumptions translate into operational decisions.

My Contribution

Built a visual comparison tool for linking model families to boundary geometry.

Industry Transfer

Segmentation, risk scoring, customer modeling, medical classification, anomaly triage.

Connected Work

Variable-star classification and production ML decision systems.