Exploring class imbalance with under-sampling, over-sampling, and hybrid sampling based on Mahalanobis distance for landslide susceptibility assessment: a case study of the 2018 Iburi earthquake induced landslides in Hokkaido, Japan
Kounghoon Nam, Jongtae Kim, Byung‐Gon Chae
Topics & Concepts
Mahalanobis distanceResamplingSampling (signal processing)LandslideSample (material)StatisticsRandom forestReceiver operating characteristicComputer scienceConsistency (knowledge bases)Data miningArtificial intelligenceMathematicsGeologyGeotechnical engineeringChromatographyFilter (signal processing)Computer visionChemistryLandslides and related hazardsDam Engineering and SafetyAnomaly Detection Techniques and Applications