Support vector machine modeling of earthquake-induced landslides susceptibility in central part of Sichuan province, China

Geoenvironmental Disasters

Table 3 Landslide statistical results by different SVM kernel functions

Models		Susceptibility class					Success rate	Prediction rate
Models		VLS	LS	MS	HS	VHS	Success rate	Prediction rate
Linear	%area	8.39	29.83	27.00	23.87	10.91	0.77	0.78
	%landslide	0.44	6.67	18.73	38.41	35.75
	LND	0.05	0.22	0.69	1.61	3.28
Polynomial	%area	28.01	27.95	13.56	12.66	17.83	0.91	0.86
	%landslide	1.27	4.52	8.89	16.71	68.61
	LND	0.05	0.16	0.66	1.32	3.85
Radial basic	%area	11.16	54.29	10.09	9.01	14.82	0.97	0.82
	%landslide	1.83	5.79	5.67	11.63	75.08
	LND	0.16	0.11	0.56	1.29	5.07
Sigmoid	%area	1.12	7.03	29.56	62.27	0.01	0.58	0.58
	%landslide	0.12	0.71	2.82	96.27	0.08
	LND	0.11	0.10	0.10	1.55	7.78