Reading In the Dataset
Test Train Split
Building a Model
max score: 0.3479926193529864 at index 1622 where alpha = 2.711710509909834e-14
The model works by inputting the chemical components of a red wine (such as pH, citric acid content, alcohol content, etc.) and outputting a prediction for the quality of said wine on a scale from 0-10 with an error of approximately 1. In the visuals above I tried to focus on alcohol content vs wine quality because a preliminary assessment showed strongest correlation with respect to quality.