The simplicity of XGBoost algorithm versus the complexity of Random Forest, Support Vector Machine, and Neural Networks algorithms in urban forest classification
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DOI: 10.12688/f1000research.124604.1
Abstract: Background: The availability of urban forest is under serious threat, especially in developing countries where urbanization is taking place rapidly. Meanwhile, there are many classifier algorithms available to monitor the extent of the urban forest.… read more here.
Keywords: vector machine; support vector; xgboost algorithm; forest support ... See more keywords