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Incorporating space and time into random forest models for analyzing geospatial patterns of drug-related crime incidents in a major U.S. metropolitan area.
Zhiyue Xia
Kathleen Stewart
Junchuan Fan
Published in:
Comput. Environ. Urban Syst. (2021)
Keyphrases
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random forest
random forests
decision trees
machine learning algorithms
data sets
high dimensional
feature set
low dimensional
ensemble methods
learning algorithm
active learning
multi label
classification models
feature importance