(B) The ratio of correctly predicted positive observations to total predicted positive observations.
$$\text{Precision} = \frac{TP}{TP + FP}$$
Precision measures how many of the model's positive predictions were actually correct. Examiners expect the formula alongside the definition. Do not confuse with Recall (TP/TP+FN) or Accuracy (correct predictions/total predictions).