Research Article
[Retracted] Performance Analysis of Logistic Model Tree-Based Ensemble Learning Algorithms for Landslide Susceptibility Mapping
| Number | Conditioning factor | Average merit (AM) | Standard deviation (SD) |
| 1 | Elevation | 0.097 | ±0.018 | 2 | Curvature | 0.023 | ±0.011 | 3 | Slope angel | 0.059 | ±0.015 | 4 | Slope aspect | 0.017 | ±0.012 | 5 | Terrain relief | 0.039 | ±0.011 | 6 | Terrain roughness | 0.011 | ±0.021 | 7 | Lithology | 0.000 | ±0.000 | 8 | NDVI | 0.319 | ±0.015 | 9 | TWI | 0.033 | ±0.008 | 10 | Land use | 0.215 | ±0.017 | 11 | Distance to faults | 0.001 | ±0.016 | 12 | Distance to roads | 0.017 | ±0.024 | 13 | Distance to rivers | 0.020 | ±0.013 | 14 | Rainfall | 0.064 | ±0.010 |
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