Table 4.

Classification results of various methods. DT: decision tree, ELM: extreme learning machine, KNN: k-nearest neighbor, LSSVM: least squares support vector machine, KELM: kernel extreme learning machine, SVM: support vector machine.

Classification Method	Classification Accuracy (%)				Time/s
	Maximum	Minimum	Average	std
SVM	79.3333	73.3333	76.5667	1.8682	0.8304
DT	95.3333	89.3333	92.5333	1.7525	1.556
KNN	99	94	98.5333	1.4967	0.7318
ELM	97.6667	95	96.9667	0.7371	0.1348
LSSVM	94.6667	89.6667	92.6	1.4126	0.1149
KELM	99	97.3333	98.3	0.4583	0.0344
HMDSOF $\left(g=3\right)$	100	98.3333	99	0.0052	1.4425