Table 9 Multiple correlation analysis of input parameters to the Model.
From: Evaluating machine learning efficiency and accuracy for real time flash flood mapping
Row | Parameters without multicollinearity | Tolerance statistic | Variance inflation factor |
|---|---|---|---|
1 | 2-year return period precipitation | 1.40 | 0.70 |
2 | Area | 1.43 | 0.65 |
3 | Slope | 1.54 | 0.64 |
4 | Stream order | 1.83 | 0.54 |
5 | Minimum elevation | 1.92 | 0.52 |
6 | Bifurcation ratio | 2.05 | 0.57 |
7 | NDVI | 2.47 | 0.40 |
8 | Ruggedness number | 2.71 | 0.36 |
9 | Aspect | 2.83 | 0.35 |
10 | Average stream length | 2.87 | 0.34 |
11 | Geology | 2.92 | 0.52 |
12 | Maximum elevation | 3.35 | 0.29 |
13 | Drainage density | 3.43 | 0.29 |
14 | Stream power index | 3.45 | 0.68 |
15 | Soil texture | 3.73 | 0.26 |
16 | Form factor | 4.07 | 0.21 |
17 | Topographic wetness index | 4.64 | 0.21 |
18 | Landuse | 4.68 | 0.21 |
19 | Distance from river | 4.91 | 0.20 |
