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An investigation of feature selection methods for soil liquefaction prediction based on tree-based ensemble algorithms using AdaBoost, gradient boosting, and XGBoost

Soil Liquefaction PredictionEngineeringMachine LearningData ScienceData MiningPattern RecognitionSoil ClassificationCivil EngineeringPredictive AnalyticsFeature SelectionDecision Tree LearningGradient BoostingFeature Selection MethodsMultiple Classifier SystemEnsemble Algorithm