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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| Reference Key |
w2020themodeling
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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 |
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