**Welcome to the Bio-Signal Intelligence Challenge.**

In the evolving landscape of medical diagnostics and preventative healthcare, the ability to accurately identify lifestyle risk factors purely from physiological data is a critical frontier.

**The Challenge** Your task in this competition is to build a robust binary classification model capable of predicting a patient's smoking status (Smoker vs. Non-Smoker).

You have been provided with a high-dimensional dataset comprising physiological bio-signals and general health indicators. Unlike simple datasets where correlations are obvious, this challenge requires participants to employ advanced feature engineering, dimensionality reduction, and modeling techniques to discern the subtle, often noisy patterns that distinguish a smoker's physiology from a non-smoker's.

Can your model separate the biological signal from the noise? Good luck.