The AUC shows the plot of true positive and false positive percentages of the test data for different RF models.

The AUC shows the plot of true positive and false positive percentages of the test data for different RF models.

<p>The AUC values of 96.6%, 95.7%, and 96.7% yielded for the post-Ketsana, post-Podul, and post-Molave landslide susceptibility models, respectively.</p>

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Bibliographic Details
Main Author:	Raja Das (1841107) (author)
Other Authors:	Pham Van Tien (19949682) (author), Karl W. Wegmann (19949685) (author), Madhumita Chakraborty (485342) (author)
Published:	2024
Subjects:	Neuroscience Sociology Environmental Sciences not elsewhere classified Biological Sciences not elsewhere classified notable areal expansion nation &# 8217 annual average rainfall 90 %) scores risk reduction strategies elevated landslide susceptibility consistently high susceptibility sensitivity (& gt molave period compared regional susceptibility trends temporal landslide inventories high landslide susceptibility increasing landslide susceptibility landslide susceptibility (& gt typhoon molave moderate reduction ketsana period landslide probability temporal variations temporal analysis vietnam pose typhoon ketsana topographic elevation spatially mapped southern areas several years scale variation results indicate research found research explores research examines prone regions probabilistic occurrences prioritizing mitigation nonlinear relationship many parts machine learning longstanding threat identifying areas hydroclimatic conditions growing intensity eastern regions early indicators climatic conditions changing hydro based assessment 89 %), 2020 ). 2013 ),
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