AUC (Mann-Whitney aprox)
- Created by
- Renato Passos, Eng. de Software
- Reviewed by
- Renato Passos, Eng. de Software
Last updated: Apr 18, 2026
About this calculator
The AUC (Mann-Whitney aprox) calculator is a useful tool for statisticians and data scientists. It calculates the AUC (Area under the Curve) based on the Mann-Whitney formula, which is an approximation of the Area under the ROC (Receiver Operating Characteristic) curve.
This calculator is especially useful when you need to evaluate the performance of a classification model or a machine learning technique. It helps to understand the accuracy and sensitivity of the model.
To use this calculator, simply enter the sample sizes and the counts of positive and negative values. The calculator will do the rest, providing you with the approximate AUC. Remember that this is an approximation and that the actual AUC may vary depending on the sample size.
Be careful: make sure that the counts of positive and negative values are correct, as this affects the accuracy of the calculation. Also, keep in mind that AUC is only one performance indicator, and other factors, such as sensitivity and specificity, are also important.
Frequently asked questions
What is AUC and why is it important?
AUC is a measure of performance of a classification model or machine learning technique. It helps to understand the accuracy and sensitivity of the model. AUC is important because it provides an overview of the model's performance.
What are the differences between AUC and ROC?
AUC is a performance measure related to ROC, but not exactly the same thing. ROC is a curve showing the relationship between the false positive rate and true positive rate, while AUC is a measure that sums the area under the ROC curve.
When to use the AUC calculator?
Use the AUC calculator when you need to evaluate the performance of a classification model or machine learning technique. This can be especially useful when you need to compare the performance of different models or techniques.
What is the Mann-Whitney formula and why is it used?
The Mann-Whitney formula is an approximation of the area under the ROC curve. It is used because it is easier to calculate than the actual area under the ROC curve and is sufficient for many purposes.