Yellowbrick provides visual analysis and diagnostic tools designed to help data scientists steer the model selection process. It extends the scikit-learn API with matplotlib-based visualizers that display metrics like confusion matrices, ROC curves, and feature importances. The library integrates directly into scikit-learn workflows, offering estimators for classification, regression, and clustering visualization.