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The paper presents the comparison of nine machine learning algorithms for sub-pixel impervious surface area change assessment. Predictive models were tuned and trained using the caret package in R environment. Their performance was analyzed based on both cross-validation results and results obtained for validation dataset. A paired t-test was used to determine if the differences between model accuracies...
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