Precision More or less the opposite of Recall. precisionκ=nκκ∑i=1Kniκ\operatorname{precision}_\kappa=\frac{n_{\kappa \kappa}}{\sum_{i=1}^K n_{i \kappa}}precisionκ=∑i=1Kniκnκκ High Recall results in low Precision and high Precision results in low Recall.