# MultiLabelClassificationMetrics.ThresholdSelectionStrategy.recall(_:minimumPrecision:) A confidence threshold strategy for a recall precision that has at least a minimum precision value. ``` case recall(Float, minimumPrecision: Float) ``` ## Discussion This strategy selects a threshold for each label by searching for the specified recall value on the label’s precision-recall curve. At the recall, the precision must be greater than or equal to the minimum precision value, otherwise a NaN threshold for the corresponding label is returned. Use this strategy to reduce the rate of false-negative predictions while constraining the false-positive predictions. --- Copyright © 2026 Apple Inc. All rights reserved. | [Terms of Use](https://www.apple.com/legal/internet-services/terms/site.html) | [Privacy Policy](https://www.apple.com/privacy/privacy-policy)