Enhanced Output Graphs
DORA's output graphs have received a refreshed interface for a more intuitive experience.
You can now access them from the right-hand side panel for quick reference and analysis.
Prediction Accuracy Odometer – Displays the Confusion Matrix, summarizing your model’s classification accuracy. Click to view the full graph.
Depth Accuracy Odometer – Displays the R² Validation, showing how well your predictions align with actual results. Click to view the full graph.
Feature Importance (Previously SHAPs)
SHAP Labels are now called Feature Importance for improved clarity.
Feature Importance graphs are now accessible from the right-hand side panel, alongside other output graphs.
In the Feature Importance panel, you'll see how much each feature contributed to the model's predictions, displayed as a percentage.. You can:
Click “Expand” to open and explore detailed graphs for each feature, allowing for a deeper understanding of how each input affects model performance.
Toggle between a Violin Plot or a Histogram Plot, depending on your preference.
Toggle between a Violin Plot or a Histogram Plot, depending on your preference.
Note:
Experiments run before this update will show the old output graph design.
To see the new design, duplicate your experiment and re-run it.
Results may differ due to improvements in the latest release.
Still Have Questions?
Reach out to your dedicated DORA contact or email support@VRIFY.com for more information.