Articles | Volume 22, issue 4
Nat. Hazards Earth Syst. Sci., 22, 1395–1417, 2022
https://doi.org/10.5194/nhess-22-1395-2022
Nat. Hazards Earth Syst. Sci., 22, 1395–1417, 2022
https://doi.org/10.5194/nhess-22-1395-2022
Research article
21 Apr 2022
Research article | 21 Apr 2022

Assessing the importance of conditioning factor selection in landslide susceptibility for the province of Belluno (region of Veneto, northeastern Italy)

Sansar Raj Meena et al.

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Short summary
The study investigated the importance of the conditioning factors in predicting landslide occurrences using the mentioned models. In this paper, we evaluated the importance of the conditioning factors (features) in the overall prediction capabilities of the statistical and machine learning algorithms.
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