In watsonx.governance text evaluation, which metric is defined as the size of the intersection of two token sets divided by the size of their union?
Select an answer to reveal the explanation.
Short Explanation and Infographic
Think of it this way: in real-world AI governance, jaccard similarity is exactly what teams reach for when they need to handle this scenario. Jaccard similarity is defined as |A ∩ B| / |A ∪ B|, computing the ratio of shared tokens to total unique tokens across both texts. On the exam, remember that this falls squarely under the 4.0 Configure Evaluation and Monitoring domain.
Full explanation below image
Full Explanation
Jaccard similarity is defined as |A ∩ B| / |A ∪ B|, computing the ratio of shared tokens to total unique tokens across both texts. It awards partial credit proportional to the degree of token overlap between the generated output and the reference. The correct answer, "Jaccard similarity", directly addresses the scenario described because it aligns with the specific governance requirement in question. The incorrect options ("Cosine similarity", "Exact match", "Readability") may seem plausible but do not satisfy the core requirement. Understanding the distinction between these concepts is critical for IBM watsonx.governance implementations and is frequently tested in the 4.0 Configure Evaluation and Monitoring section of the certification exam.