Precision

What is Precision?

Precision is a metric used to evaluate a machine learning model. It can be seen as a way to quantify the quality of predictions the model makes.

Precision is the proportion of positive predictions (or True Positives) that were actually correct. In other words, a model with high precision means that the predictions the model makes will be of very high quality and confidence. A model with low precision may make lots of predictions, but only a small fraction of them will actually be correct.

Precision = \frac{TP}{TP + FP}

Related Terms

• True Positive

• False Positive

• Recall

• Accuracy