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Export Prediction Map Results in DORA

Learn about how to export and utilize the results from a DORA Prediction Map.

Updated this week

Overview

DORA Experiments result in a set of data files that can be downloaded and analyzed. The .zip file contains all relevant output graphs, learning points, Feature Importance (SHAP) graphs, and summary files, allowing you to further analyze the data.

Steps to Export your Data

Once your Prediction Map is complete and targets have been generated, you can export your results in two ways:

Export from the Prediction Map

  1. Complete Step 6: Identify Targets

    • Finish the final step in your Experiment.

  2. Export Results Files

    • New experiments:

      • Click the Export icon in the upper right of the Prediction Results panel:

      • Export icon

    • Legacy experiments:

      • Click the Export icon in the bottom right of the Target Groups panel at the bottom of the screen:

      • Export icon

    • A .zip file containing your results will automatically download to your computer.

Export from the DORA Main Page

  1. Find Your Experiment

    • On the DORA main page, locate the experiment you want to download.

    • Click the 3-dot Actions menu next to the experiment.

  2. Download Results Files

    • Select Download Results from the menu:

    • Download Results

    • A .zip file containing your results will automatically download to your computer.

Exported Data Contents

Note: The output files represent the Prediction Map results as they were at the time of download. If any changes are made to the Map afterward, the updated results can be exported again to capture those modifications.

To prevent edits to your Prediction Map, you can lock an experiment.

Prediction Map text file:

  • Experiment

Model performance QA/QC Output graphs:

  • Confusion_Matrix

  • R2_Valid

  • ROC_Curve

Learning Points used in the model:

  • learning_Points.cpg

  • learning_Points.dbf

  • learning_Points.prj

  • learning_Points.shp

  • learning_Points.shx

Model-wide and target-specific value plots and CSV SHAP analysis:

  • Model_SHAP

  • shap_summary_target_Beta

  • shap_summary_target_Gamma

  • shap_values_target_Beta

  • shap_values_target_Gamma

VPS results CSV (importable into GIS/3D modelling software):

  • resultsVPS

2D Raster file of VPS results (can be visualized in GIS software):

  • vps_results

  • vps_results.ers

Using Exported Feature Importance and VPS Data

Once exported, your results include Feature Importance (SHAP) summary files and VPS rasters, which can be used in your own GIS or 3D modeling software.

Feature Importance (SHAP Labels)

Use the Feature Importance files to explore which features are driving each modelled target. When imported into your software, you can visualize by target name to see how AI-identified areas align with geological expectations. This allows geoscientists to dig into the feature importance for each target, bridging AI insights with domain expertise.

VPS Rasters & CSV

VPS values are generated per pixel. To focus only on high-confidence results, apply a VPS threshold filter (e.g., show only values above 0.7).

Adjust layer transparency or symbology to highlight these zones without obscuring underlying geological layers. This helps replicate your DORA view and maintain clarity in your own environment.

💡 Tip: Watch for edge effects or anomalies in raster visuals. These may indicate data misalignment or overly influential layers and should be reviewed carefully before decision-making.

Learn More

Still Have Questions?

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

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Understanding a Prediction Map (View-Only Access)
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