During November 2024, Michael Mayer contributed to the EmilHvitfeldt/xgboost repository by enhancing the plot_importance visualization feature. He updated the default x-axis label from "F score" to "Importance score," improving the clarity and interpretability of feature importance charts for analysts and stakeholders. This change was implemented in Python, leveraging his skills in data visualization and machine learning. Michael also revised and aligned the associated test suite to ensure the new label was covered and to prevent future regressions. The work addressed a specific usability concern, resulting in more transparent model insights without introducing unnecessary complexity or risk.