In this article, you will learn about the Uncertainty value displayed on the Prediction Map and how to use it alongside the VRIFY Prospectivity Score (VPS) when reviewing targets.

Not all VPS values are equally reliable. A high VPS with strong data support is generally more trustworthy than the same score in an area where that support is less clear. The Uncertainty value adds this context directly on the map.

When you run a prediction in Step 4: Select Input Features, DORA generates a Prediction Map with a VPS. Hover over any VPS point on the map to see a tooltip displaying both values:

The Uncertainty value is also included as a column in the VPS results CSV, so you can filter and analyse targets outside of DORA.

Use VPS and Uncertainty together when reviewing targets.

A high VPS with low Uncertainty is typically the strongest indicator of a well-supported target.

A high VPS with high Uncertainty may still represent a valid target, but it carries more risk and may warrant further investigation.

High Uncertainty does not mean a target should be dismissed. Uncertainty reflects both the spatial relationship between an area and the Learning Points, and how strongly the Learning Point signal correlates with signals elsewhere in the model. These factors combine to indicate how well-supported a prediction is.

Reach out to your dedicated DORA contact or email support@VRIFY.com for more information.