In many real-world production environments, **product quality** is driven by a complex interaction of chemical, physical, and process variables. Breweries are no exception: subtle changes in acidity, sugar content, alcohol level, or fermentation conditions can dramatically alter the final sensory quality of a beer.  

This competition uses a **real laboratory dataset** of physicochemical measurements that has been adapted into a craft brewery setting. The original measurements come from actual fermentation samples; they have been combined, relabeled, and lightly transformed to represent batches of beer evaluated by a quality panel. Each row corresponds to one production batch and includes numeric features such as acidity, residual sugar, sulphates, alcohol content, and a proxy for fermentation temperature.  

Your task is to use these real measurement profiles to predict how an expert tasting panel would score each batch on a **1–5 quality scale**, where 1 represents poor quality and 5 represents excellent quality.