A confusion matrix is a table used to describe the performance of a classification model. The color scheme in a confusion matrix helps to visually represent the results. Common color palettes include blue for true negatives, green for true positives, yellow for false positives, and red for false negatives. These colors are often used in data visualization tools and software to differentiate between different classes and outcomes.