# Evaluation run creation ## **Section 4: Evaluating the Workflow Outputs** In this section, we'll apply the evaluation metrics established in **Section 1** to the answers generated by the workflows implemented in **Section 3**. By evaluating the outputs from both the perfect and imperfect workflows, we'll assess the effectiveness of our metrics and gain insights into the performance of each workflow. *** ### **Objectives** * **Assess Answer Quality:** Determine how well each workflow's answers align with the ground truth. * **Test Evaluation Metrics:** Verify that the metrics accurately identify and score differences in answer quality. * **Analyze Results:** Understand the strengths and weaknesses of each workflow based on evaluation scores. * **Improve Workflows:** Identify areas for refinement to enhance the quality of future outputs. *** *Congratulations on completing the evaluation of your workflows! You're now well-equipped to enhance your AI systems and ensure they meet the highest standards of quality.* 🚀 --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://docs.getdynamiq.ai/evaluations-code/evaluation-run-creation.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.