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A random forest classifier with cost-sensitive learning to extract urban landmarks from an imbalanced dataset.
Mengjun Kang
Yue Liu
Mengqi Wang
Lin Li
Min Weng
Published in:
Int. J. Geogr. Inf. Sci. (2022)
Keyphrases
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cost sensitive learning
imbalanced datasets
cost sensitive
missing values
class imbalance
misclassification costs
active learning
probability estimation
class distribution
decision trees
binary classification
rule extraction
multi class
naive bayes
error rate