Modeling flood susceptibility using data-driven approaches of naïve Bayes tree, alternating decision tree, and random forest methods

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2020
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Abstract
Floods are one of the most devastating types of disasters that cause loss of lives and property worldwide each year. This study aimed to evaluate and compare the prediction capability of the naïve Bayes tree (NBTree), alternating decision tree (ADTree), and random forest (RF) methods for the spatial …
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Authors Chen W;Li Y;Xue W;Shahabi H;Li S;Hong H;Wang X;Bian H;Zhang S;Pradhan B;Ahmad BB;;
Journal The Science of the total environment
Year 2020
DOI
DOI not found
URL
https://www.ncbi.nlm.nih.gov/pubmed/31733400
Keywords
National Center for Biotechnology Information NCBI NLM MEDLINE pubmed abstract nih national institutes of health national library of medicine baharin bin ahmad yang li pmid:31733400 doi:10.1016/j.scitotenv.2019.134979 wei chen

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