Modelling Slope Stability with Decision Tree Classification
Kavita Chatterjee
Corresponding
Bangladesh Council of Scientific and Industrial Research
Tanvir Suzuki
Georgia Institute of Technology
Abstract
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.
Keywords:
slope stabilitydecision tree classificationpower qualityfinite element methodcomposite columnrainfall-runoff modelling
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