Analyze target variables: binary vs. multi-class

Plot the distribution of the multi-class quality score and the quality_binary target. Write 3 to 4 insights on class imbalance and explain why starting with quality_binary is a safer approach for a baseline neural network.

Start by locating the notebook that loads the multi-class quality score and quality_binary target, then run its existing data-loading cells. Plot both target distributions, record 3–4 observations about class imbalance, and explain why the binary target is safer for a baseline neural network. Done means the plots, insights, and rationale are included in the project analysis.

Written by the indexing model from the issue text.