PR Curve

Precision-Recall (PR) Curves are essential for evaluating machine learning classifiers on imbalanced datasets in bioinformatics and medical AI. This collection features PR curve examples from diagnostic test evaluation, biomarker discovery, and predictive modeling studies. Critical for researchers developing clinical decision support systems or genomic classifiers. Learn to create informative PR curves showing AUC-PR, operating points, and confidence bands using scikit-learn, ROCR, and specialized ML evaluation tools for reproducible model assessment.