Compute helena-balabin/youden_index via the HuggingFace `evaluate` library. Use when the user has predictions + references and wants the canonical implementation of helena-balabin/youden_index.
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---
name: helena-balabin-youden-index
description: Compute helena-balabin/youden_index via the HuggingFace `evaluate` library. Use when the user has predictions + references and wants the canonical implementation of helena-balabin/youden_index.
metadata:
skill_kind: metric
source_lib: huggingface-evaluate
hf_module: helena-balabin/youden_index
source: library_introspection
---
# helena-balabin-youden-index
> Metric `helena-balabin/youden_index` from the HuggingFace `evaluate` library.
## When to invoke
User asks to compute `helena-balabin/youden_index` or wants HF evaluate's canonical version.
## Recipe
```python
import evaluate
metric = evaluate.load("helena-balabin/youden_index")
result = metric.compute(predictions=preds, references=refs)
print(result)
```
## Don'ts
- Don't assume your in-house `helena-balabin/youden_index` matches HF — version conventions vary.
- Many evaluate metrics have task-specific arguments (`average=`, `lang=`, `model_type=`); read the metric card before reporting numbers.