Overview
A Scatter Plot is a graphical tool that helps you visualize the relationship between predicted values and actual data points. In VRIFY’s case, this plot compares the projected coordinates for drill targets, predicted by AI models, against the actual coordinates obtained from existing drilling data. The plot helps you assess how accurately the AI is predicting the geographical coordinates of potential mineral-rich drill sites.
Each point on the plot represents a drill target, with the x-axis showing the predicted location and the y-axis showing the true location. Ideally, these points should align closely along a diagonal line, indicating accurate predictions.
What this Graph Tells You
The Scatter Plot is a visual tool that shows how closely the AI’s predictions match the true geographical coordinates of drill targets:
Diagonal Line: Represents perfect predictions where the predicted coordinates exactly match the actual coordinates.
Data Points: Each point represents a drill target. The closer a point is to the diagonal line, the more accurate the AI’s prediction.
Example of an ideal output:
Example of an unideal output:
How to Interpret the Graph
The plot gives you a quick visual assessment of the model’s performance:
Accurate Predictions: Points that are near or on the diagonal line suggest that the model is accurately predicting the drill target locations.
Inaccurate Predictions: Points that are farther from the diagonal line show where the model’s predictions diverge from the actual drill target coordinates. The greater the distance from the line, the less accurate the prediction.
Simply put, if the points cluster tightly around the diagonal, the AI is doing a good job of predicting target locations. Conversely, points far from the diagonal indicate greater errors in prediction and further Prediction Map iterations are required.
Still have questions?
Reach out to your dedicated VRIFY AI Contact or email Support@VRIFY.com for more information.