BMAD-METHOD/.claude/rules/pytorch-scikit-learn-cursor.../chemistry-ml---model-evalua...

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---
description: Rules for model evaluation and interpretation scripts in chemistry ML projects, emphasizing appropriate metrics, error analysis, and visualization techniques.
globs: evaluation/**/*.py
---
- Use appropriate metrics for chemistry tasks (e.g., RMSE, R², ROC AUC, enrichment factor).
- Implement techniques for model interpretability (e.g., SHAP values, integrated gradients).
- Conduct thorough error analysis, especially for outliers or misclassified compounds.
- Visualize results using chemistry-specific plotting libraries (e.g., RDKit's drawing utilities).