Use when testing a classical ML model or ML-powered feature — accuracy/precision/recall/F1 evaluation, model regression testing, bias/fairness testing, and ML pipeline robustness. For LLM/generative-AI-specific testing (prompts, hallucination, RAG), use llm-testing instead.
