Litcius/Paper detail

Assessing the predictive capability of ensemble tree methods for landslide susceptibility mapping using XGBoost, gradient boosting machine, and random forest

Emrehan Kutluğ Şahin

2020SN Applied Sciences414 citationsDOIOpen Access PDF

Topics & Concepts

Random forestWilcoxon signed-rank testBoosting (machine learning)Ensemble forecastingDecision treeSupport vector machineComputer scienceLandslideMean squared errorGradient boostingArtificial intelligenceEnsemble learningKappaPredictive modellingStatisticsRegressionData miningMachine learningMathematicsMann–Whitney U testGeologyGeometryGeotechnical engineeringLandslides and related hazardsFire effects on ecosystemsFlood Risk Assessment and Management