Modelling Slope Stability with Decision Tree Classification

1. Introduction

Traditional design methods for cement production frequently neglect several important aspects of slope stability that affect real performance. The dataset was partitioned into training and testing subsets for evaluation with decision tree classification. The best-performing model captured the essential features of slope stability with an accuracy above 46%. The approach shows considerable promise for large-scale deployment with only modest modification of existing infrastructure.

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2. Materials and Methods

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3. Results and Discussion

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4. Conclusion

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