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Predictive Performances of Ensemble Machine Learning Algorithms in Landslide Susceptibility Mapping Using Random Forest, Extreme Gradient Boosting (XGBoost) and Natural Gradient Boosting (NGBoost)

Taşkın Kavzoğlu, Alihan Teke

2022Arabian Journal for Science and Engineering343 citationsDOI

Topics & Concepts

LandslideRandom forestGradient boostingSupport vector machineEnsemble learningArtificial intelligenceEnsemble forecastingMachine learningComputer scienceAlgorithmBoosting (machine learning)McNemar's testMathematicsStatisticsGeologyGeomorphologyLandslides and related hazardsGeotechnical Engineering and AnalysisDam Engineering and Safety
Predictive Performances of Ensemble Machine Learning Algorithms in Landslide Susceptibility Mapping Using Random Forest, Extreme Gradient Boosting (XGBoost) and Natural Gradient Boosting (NGBoost) | Litcius