Overview
The DORA Prediction Map workflow has been updated to simplify experiment setup and reduce manual configuration.
The updated workflow keeps the focus on geological decision-making while DORA manages model optimization in the background.
Note: DORA 2.0 is not yet available. The changes described below will be released in an upcoming update.
Key Improvements
Geology-first workflow
Experiment setup is now centered on geological inputs, including deposit type, learning data, and input features; you no longer need to manage advanced machine learning parameters such as trees or epochs.
Simplified experiment setup
The workflow has been reduced from six steps to four, with fewer settings required before generating a prediction.
Data-driven threshold recommendations
DORA recommends a mineralization threshold based on the distribution and spatial structure of your learning data. You can adjust the threshold if needed.
Guided feature selection
Input rasters are automatically scored for quality and relevance. Recommended features are pre-selected to reduce manual review.
Strategy-based prediction controls
The Balanced setting is the default. Conservative and Aggressive options allow you to adjust how selective the final Prediction Map will be.
Integrated with 3D Presentations
You can now easily add a VRIFY Prospectivity Score (VPS), Target Groups, and Feature Importance labels directly into a 3D Presentation.