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A comprehensive evaluation of disturbance agent classification approaches: Strengths of ensemble classification, multiple indices, spatio-temporal variables, and direct prediction

Data ClassificationClassification MethodEngineeringMachine LearningData ScienceData MiningMultiple Classifier SystemPredictive AnalyticsDirect PredictionComprehensive EvaluationSystems EngineeringEnsemble ClassificationDisturbance DetectionIntelligent SystemsForecastingStatisticsEnsemble MethodsEnsemble Algorithm