Track 1: AI and Data-Driven Decision Making

Energy 5 Local CV 3.70% Variability relative to mean. Table 2: Top 5 Feature Importance Notably, absolute coordinates (X, Y, Z) did not appear in the top 5. This confirms that the model is learning geological rules (e.g., "high curvature + high energy = high grade") rather than memorizing spatial locations. This "White Box" behavior is essential for building trust with resource geologists. 3.3 Local Bias Analysis (Swath Plots) Global metrics can hide local biases. We generated Swath Plots (drift analysis) to verify local accuracy.

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