AUC Calculator
An online tool to compute the Area Under the Curve (AUC) from classifier scores and labels, ideal for data scientists and researchers.

Check It Yourself
About This Tool
Our AUC Calculator offers a straightforward way to analyze the performance of classification models through ROC curve analysis. By uploading your scores and actual labels, the tool generates a detailed ROC plot and computes the AUC metric, a key performance indicator in machine learning and medical diagnostics.
Designed for data scientists, statisticians, and healthcare professionals, this calculator simplifies complex analysis into an intuitive interface. It supports various data formats, processes inputs quickly, and displays results with interactive visualizations. Export options allow you to save ROC plots as images or generate comprehensive reports for presentation or documentation purposes.
Whether evaluating binary classifiers, comparing multiple models, or analyzing diagnostics test results, this tool provides accurate, reliable insights to support your decision-making process. Its modern UI, combined with robust calculations and export features, makes it an essential component for data-driven projects.
How to Use
1. Upload your dataset CSV or manually enter scores and labels.
2. Click the 'Calculate' button.
3. View the ROC curve visualization and the AUC value below.
4. Use export buttons to save images or reports.
5. Reset or load different datasets as needed.

FAQs/Additional Resources
Find Quick Answers
What is the AUC in relation to ROC curves?
Can I compare multiple models with this tool?
Is my data secure when uploaded?
Can I export the ROC curve as an image?
What file formats are supported for data upload?
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