Modeling Typhoon Event-Induced Landslides Using GIS-Based Logistic Regression: A Case Study of Alishan Forestry Railway, Taiwan

Table 3

Classification accuracy for logistic regression analysis with respect to different random samplings.

Random sampling	Correct % for “0”	Correct % for “1”	Overall correct %	Cox and Snell 𝑅^2	Nagelkerke 𝑅^2	Chi-square
Data Set 1	75.8	71.8	73.8	0.30	0.40	44.19
Data Set 2	75.7	71.1	73.4	0.29	0.39	51.98
Data Set 3	75.9	72.3	74.1	0.30	0.40	42.46
Data Set 4	75.6	72.1	73.9	0.30	0.40	66.87
Data Set 5	75.6	71.4	73.5	0.29	0.38	84.14