What does an Evaluation Run produce?

An Evaluation Run is a crucial process in assessing the performance of a model or a system in automation. It primarily generates metrics and logs based on the input dataset used during the evaluation. These metrics can include performance indicators like accuracy, precision, recall, F1 score, and others that quantify how well the model is working with the provided data. The logs offer detailed insights into the execution process, which can be useful for debugging and understanding the behavior of the automation system.

This allows organizations to make informed decisions about model improvements, adjustments, or whether to proceed with implementation based on the evaluation results. The focus on metrics and logs is essential for continuous improvement and optimization of automation processes, making this option the most relevant outcome of an Evaluation Run.