A cumulative accuracy profile (CAP) is a concept utilized in data science to visualize discrimination power.
The cumulative number of positive outcomes indicates a model's strength.
In this case, the model is performing worse than the random CAP.
The cumulative accuracy profile (CAP) and ROC curve are both commonly used by banks and regulators to analyze the discriminatory ability of rating systems that evaluate credit risks.
[3][4] The CAP is also used by instructional design engineers to assess, retrain and rebuild instructional design models used in constructing courses, and by professors and school authorities for improved decision-making and managing educational resources more efficiently.