Pillar Stability Assessment in Deep Mining Using a Stacked Ensemble Model with Interpretable Features

Key Points

• Pillar stability assessment reveals insights into stability levels, enhancing mining safety protocols.
• The stacked ensemble model shows 85% accuracy, indicating a strong predictive performance for mining operations.
• Analysis utilized a stacked ensemble model with interpretable features to improve understanding of stability factors.
• This approach highlights the importance of predictive modeling in preventing mining failures; further field validation needed.