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

Table 1

Variance explanation rate table.

No	Feature root and load factor
	Feature root	Explanation of variance (%)	Accumulation (%)	Name	Principal components 1	Principal components 2
1	2.519	41.983	41.983	Slope height	0.590	−0.093
2	1.052	17.534	59.517	Slope angle	0.737	0.224
3	0.831	13.842	73.359	Unit weight	0.804	−0.153
4	0.728	12.139	85.498	Cohesion	0.638	−0.201
5	0.511	8.509	94.008	Friction angle	0.757	0.231
6	0.360	5.992	100.000	Pore water pressure	−0.036	0.936