VRIFY Technology Inc.

Understanding VPS outputs in DORA Prediction Maps

What Is the VRIFY Prospectivity Score (VPS)?

Learn how to work with the VPS and Target Groups.

How to Interpret The VPS on a Prediction Map

Learn how to read and interpret Feature Importance graphs from your DORA Prediction Map.

Feature Importance

Learn how to read and interpret the Prediction Accuracy, F1, and the Performance Breakdown matrix.

Prediction Accuracy and Performance Breakdown

Learn how to interpret the Depth Accuracy gauge and Real vs Predicted scatter plot to assess model performance in predicting mineralization depth.

Depth Accuracy and Real vs Predicted Scatter Plot

Behind-the-scenes overview of the processing steps that generate the DORA Prediction Map.

How DORA Generates a Prediction Map

Learn how DORA uses spatial cross-validation to train and evaluate its predictive model.

Train-Test Clusters in DORA

Learn how to add a description to your DORA Prediction Map to provide additional context to viewers.

Add a Description to a Prediction Map

Learn how to lock or duplicate a DORA experiment to prevent accidental edits or submissions.

Lock an Experiment

Learn how to cancel an active processing step in the Prediction Map workflow.

Stop Processing

Learn how to export selected Input Features from a DORA  experiment as a downloadable .zip file.

Export Input Features

Learn how to make a copy of a DORA Prediction Map.

Duplicate a Prediction Map

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

Export Prediction Map Results

Learn how to compare multiple VRIFY Prospectivity Scores (VPS) on a single Prediction Map.

Compare Experiments

Analyse, export, and compare your Prediction Map outputs

Interpreting Prediction Map Results

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