Improving the Landslide Susceptibility Prediction Accuracy by Using Genetic Algorithm Optimized Machine Learning Approach

Table 7

Results of binary logit regression analysis-simplified format.

Item	Regression coefficient
Slope height	0.002 (1.448)
Slope angle	−0.045 (−2.607)
Unit weight	0.202 (3.849)
Cohesion	0.002 (0.529)
Friction angle	0.086 (3.806)
Pore water pressure	0.370 (0.444)
Intercept distance	−5.738 (−5.557)
Likelihood ratio test	χ^2 (6) = 87.032,
Hosmer–Lemeshow test	χ^2 (8) = 17.027,

Dependent variable: stability. McFadden R²: 0.225. Cox and Snell R²: 0.259. Nagelkerke R²: 0.352. z values in parentheses.