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

• المؤلفون الرئيسيون: Chen, W., Li, Y., Xue, W., Shahabi, H., Li, S., Hong, H., Wang, X., Bian, H., Zhang, S., Pradhan, B., Ahmad, B. B.
• التنسيق: مقال
• منشور في: Elsevier B. V. 2020
• الموضوعات: SB469-476 Landcsape architecture
• الوصول للمادة أونلاين: http://eprints.utm.my/id/eprint/86440/; https://dx.doi.org/10.1016/j.scitotenv.2019.134979

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...