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

Chen W;Li Y;Xue W;Shahabi H;Li S;Hong H;Wang X;Bian H;Zhang S;Pradhan B;Ahmad BB;;
The Science of the total environment 2020 Vol. 701 pp. -
167
w2020themodeling

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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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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https://www.ncbi.nlm.nih.gov/pubmed/31733400

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