---
title: "hasMinimumPrecision(_:forRecall:)"
framework: vision
role: symbol
role_heading: Instance Method
path: "vision/vnclassificationobservation/hasminimumprecision(_:forrecall:)"
---

# hasMinimumPrecision(_:forRecall:)

Determines whether the observation for a specific recall has a minimum precision value.

## Declaration

```swift
func hasMinimumPrecision(_ minimumPrecision: Float, forRecall recall: Float) -> Bool
```

## Parameters

- `minimumPrecision`: The minimum percentage of classification results that are relevant.
- `recall`: The percentage of relevant results that the algorithm correctly classified.

## Return Value

Return Value A Boolean indicating whether or not this classification observation provides a minimum percentage of relevant results that meet the desired recall criterion.

## See Also

### Measuring Confidence and Precision

- [hasPrecisionRecallCurve](vision/vnclassificationobservation/hasprecisionrecallcurve.md)
- [hasMinimumRecall(_:forPrecision:)](vision/vnclassificationobservation/hasminimumrecall(_:forprecision:).md)