Nonlinear Methodologies for Identifying Seismic Event and Nuclear Explosion Using Random Forest, Support Vector Machine, and Naive Bayes Classification

Table 5

Discriminant results of test samples.

Number	Event	Measured; results	NBC			SVM result	RF
			Prob. (N)	Prob. (NE)	Result		Prob. (N)	Prob. (NE)	Result
1	NE20	2	0.1646	0.8354	2	2	0.2354	0.7646	2
2	NE21	2	0.0276	0.9724	2	2	0.018	0.982	2
3	NE22	2	0.0041	0.9959	2	2	0.1572	0.8428	2
4	NE23	2	0.0144	0.9856	2	2	0.0178	0.9822	2
5	NE24	2	0.2324	0.7676	2	2	0.3342	0.6658	2
6	NE25	2	0.4416	0.5584	2	2	0.0744	0.9256	2
7	NE26	2	0.2447	0.7553	2	1^∗	0.1576	0.8424	2
8	NE27	2	0.7336	0.2664	1^∗	1^∗	0.4752	0.5248	2
9	E15	1	0.998	0.002	1	1	0.8934	0.1066	1
10	E16	1	0.9991	0.0009	1	1	0.8214	0.1786	1
11	E17	1	0.8956	0.1044	1	1	0.7562	0.2438	1
12	E18	1	0.9807	0.0193	1	1	0.4076	0.5924	2^∗
13	E19	1	0.9277	0.0723	1	1	0.8904	0.1096	1
14	E20	1	0.9725	0.0275	1	1	0.9216	0.0784	1

Note. result with “∗” is incorrect.