Overview
After completing Step 4: Select Input Features and generating a Prediction Map, you can use Create Target Groups to organize high VRIFY Prospectivity Score (VPS) areas into discrete exploration targets.
This step helps convert a continuous VPS surface into clusters that are easier to interpret and evaluate:
Groups high-prospectivity areas into clusters
Generates Feature Importance (SHAP) for each group
Helps you assess what is driving predictions in different areas
This step is optional and does not change the underlying VPS. You can still use the Surface and Sub-surface VPS threshold slider (bottom left) to adjust how VPS is visualized
Understanding Target Groups
After running a prediction, DORA generates a continuous VPS surface across your AOI.
Target Groups apply a filter and grouping process. The VPS threshold defines which areas are considered targets, then grouping settings determine how those areas are clustered:
Step 1: Filter → The VPS threshold selects the areas to include
Step 2: Group → The other two sliders define how targets are formed
All three settings work together and should be adjusted iteratively.
Adjust Target Group Settings
Parameter | What it does | How to adjust |
VPS Threshold | Controls which areas are considered targets. | Lower values → broader coverage, more potential targets (more noise)
Higher values → fewer, higher-confidence targets |
Minimum Group Size | Controls how spatially connected areas are grouped. | Higher values → merge nearby zones into larger groups
Lower values → create smaller, more fragmented groups |
Minimum Points in Group | Controls how many data points are required to form a target. | Higher values → removes small or weak clusters
Lower values → allows smaller groups (may introduce noise) |
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
Run the Prediction Model
Complete Step 4: Select Input Features.
Click Run Prediction.
Wait for the Prediction Map and VPS to generate.
Create Target Groups
Review Feature Importance by Group
Learn More
Previous Steps:
Interpret Results:
Still Have Questions?
Reach out to your dedicated DORA contact or email support@VRIFY.com for more information.




