> For the complete documentation index, see [llms.txt](https://docs.raga.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.raga.ai/ragaai-catalyst/ragaai-metric-library/code-generation/robust-drop-k.md).
# Robust Drop\@k
**Objective:**
Robust Drop\@k measures a model’s sensitivity to prompt perturbations, capturing the decline in code accuracy as prompt variations are introduced. This metric helps understand a model’s susceptibility to changes, essential for tasks requiring adaptability and reliability.
**Required Columns in Dataset:**
`Original Prompt`, `Perturbed Prompts`, `Generated Code`
**Interpretation:**
* **Low Robust Drop\@k:** Indicates stable code generation, even under varied prompt conditions, suggesting high adaptability.
* **High Robust Drop\@k:** Reflects sensitivity to prompt changes, which may reduce effectiveness in dynamic applications.
**Execution via UI:**
**Execution via SDK:**
```python
metrics=[
{"name": "Robust Drop@k", "schema_mapping": {"original_prompt": "Original Prompt", "perturbed_prompts": "Perturbed Prompts", "generated_code": "Generated Code"}}
]
```
---
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