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Exploring issues of training data imbalance and mislabelling on random forest performance for large area land cover classification using the ensemble margin

EngineeringMachine LearningData ScienceClass ImbalancePattern RecognitionLand UseGeographyForestryRemote SensingData ImbalanceClassifier SystemLand Cover MapLand CoverEnsemble MarginRandom Forest PerformanceSocial SciencesDeforestationEnsemble Algorithm