2024
DOI: 10.5194/nhess-24-1913-2024
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Addressing class imbalance in soil movement predictions

Praveen Kumar,
Priyanka Priyanka,
Kala Venkata Uday
et al.

Abstract: Abstract. Landslides threaten human life and infrastructure, resulting in fatalities and economic losses. Monitoring stations provide valuable data for predicting soil movement, which is crucial in mitigating this threat. Accurately predicting soil movement from monitoring data is challenging due to its complexity and inherent class imbalance. This study proposes developing machine learning (ML) models with oversampling techniques to address the class imbalance issue and develop a robust soil movement predicti… Show more

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