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[DORA 2.0] Create Target Groups

Learn how to create discrete target clusters across your AOI.

Updated yesterday

Overview

Target Groups turn your Prediction Map into clear exploration targets. They group high-prospectivity zones into clusters and generate Feature Importance labels for each cluster.

Note: DORA 2.0 is not yet available. The changes described below will be released in an upcoming update.


Understanding Target Groups

After you finish Step 4: Select Input Layers and Run Prediction, DORA generates a continuous surface of VRIFY Prospectivity Score (VPS) values across your AOI. Target Groups let you convert that continuous surface into discrete target clusters by:

  • Setting a VPS threshold to focus on higher-prospectivity areas

  • Grouping spatially connected zones using clustering settings

  • Creating one Feature Importance label per target group for interpretation

When you update these settings, DORA regenerates the target groups and updates the Feature Importance outputs for the new groups.


Why the Create Target Groups Step Matters

Geoscience Perspective

Target clustering enables you to group predictions into geologically meaningful exploration zones. Since different areas may be influenced by different mineralization controls, this step allows you to apply domain knowledge and evaluate whether the generated targets align with known geological patterns.

AI Perspective

This step turns your model results into clear exploration targets. By adjusting threshold and clustering settings, you control how targets are grouped, filtering out noise and preventing the output from breaking into too many small, disconnected zones.


Step by Step Instructions

  1. Run the Prediction Model

    • Complete Step 4: Select Input Features.

    • Click Run Prediction.

    • Wait for the Prediction Map and VPS to generate.

  2. Create Target Groups

    • In the top middle navigation, click Create Targets.

    • Adjust the following parameters:

      • VPS: Higher thresholds focus on higher-confidence targets. Lower thresholds expand coverage but may introduce more noise.

      • Minimum Group Size: Increasing this value reduces fragmentation and merges nearby high-prospectivity areas.

      • Minimum Points in Group: Increasing this value filters out very small clusters.

    • In the 3D Layers List, toggle the Target Groups eye icon to ensure groups are visible.

    • As you adjust these settings, target groups update in real time on the Prediction Map.

    • Click Update Target Groups to confirm your selections.

  3. Review Feature Importance by Group

    • Open the Prediction Results panel on the right.

    • Use the dropdown menu to select a specific target group.

    • Review the corresponding Feature Importance (SHAP) label for that group.

    • Each time you update Target Groups, new Feature Importance labels are generated.

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