VPP
- Created by
- Renato Passos, Eng. de Software
- Reviewed by
- Renato Passos, Eng. de Software
Last updated: Apr 18, 2026
About this calculator
The Positive Predictive Value (PPV) is a key concept in applied statistics, especially in classification problems.
It represents the probability that a sample is positive for a variable of interest, given that it has been classified as positive by the model.
To calculate the PPV, you divide the number of true positives (TP) by the number of true positives plus the number of false positives (FP).
This measure is useful for evaluating the accuracy of a classification model and deciding when to act based on its predictions.
Frequently asked questions
What is PPV?
The PPV is the probability that a sample is positive for a variable of interest, given that it has been classified as positive by the model.
When should I use PPV?
It should be used to evaluate the accuracy of a classification model and decide when to act based on its predictions.
How do I calculate PPV?
Divide the number of true positives (TP) by the number of true positives plus the number of false positives (FP).
What is considered a good PPV?
A good PPV depends on the context, but generally it is considered high when it is above 0.8.
What does a low PPV mean?
A low PPV may indicate that the model is commonly predicting false positives, and it is necessary to adjust it or seek more data.