When running project validation, what four metrics are checked in Elusion with Recall?

The correct answer highlights four essential metrics used in the context of project validation with Recall in Elusion: elusion rate, richness, recall, and precision.

The elusion rate is crucial as it measures the proportion of relevant items that were not retrieved by the system. This metric helps assess how effectively the system identifies and includes necessary data points in its retrieval process.

Richness is another important metric that reflects the diversity and quantity of relevant information retrieved. A high richness score indicates a system's ability to provide comprehensive data relevant to the query, which is particularly beneficial for thorough analysis.

Recall specifically measures the system's ability to retrieve all relevant instances from the data set. It's a critical metric that quantifies the completeness of the results generated during project validation, ensuring that the analysis accounts for all necessary data.

Precision complements recall by measuring the accuracy of the retrieved items, indicating how many of the items retrieved are actually relevant. Together, recall and precision provide a balanced view on the quality of the data retrieval process, allowing for a comprehensive assessment of the system's performance.

These four metrics collectively contribute to a robust understanding of the effectiveness of retrieval methods employed during project validation, ensuring that the results are not only relevant but also comprehensive and accurate.