A Closer Look at AUROC and AUPRC under Class Imbalance
–Neural Information Processing Systems
In machine learning (ML), a widespread claim is that the area under the precisionrecall curve (AUPRC) is a superior metric for model comparison to the area under the receiver operating characteristic (AUROC) for tasks with class imbalance.
Neural Information Processing Systems
May-29-2025, 11:53:13 GMT
- Country:
- Asia (0.67)
- Europe (1.00)
- North America > United States
- Minnesota > Hennepin County > Minneapolis (0.14)
- Genre:
- Research Report
- Experimental Study (1.00)
- New Finding (1.00)
- Research Report
- Industry:
- Media (0.67)
- Energy > Oil & Gas (1.00)
- Banking & Finance (1.00)
- Government (0.67)
- Health & Medicine
- Consumer Health (0.67)
- Diagnostic Medicine > Imaging (1.00)
- Epidemiology (1.00)
- Health Care Technology (1.00)
- Pharmaceuticals & Biotechnology (1.00)
- Therapeutic Area
- Immunology (1.00)
- Infections and Infectious Diseases (1.00)
- Oncology (1.00)
- Law (0.92)
- Information Technology
- Security & Privacy (1.00)
- Services (0.67)
- Education > Educational Setting
- Online (0.92)
- Leisure & Entertainment (0.67)
- Law Enforcement & Public Safety (0.67)
- Technology: