Local Gravitation Clustering-Based Semisupervised Online Sequential Extreme Learning Machine

Table 8

Training time of classifiers on the real-world data sets (in seconds).

	STAR-SVM	Lap-SVM	SS-ELM	D-SOS-ELM	LapTEM	LGS-OSELM
Australian	0.0314	0.0221	0.0244	0.0255	0.0290	0.0276
EEG-Eye	1.8615	1.4533	1.3532	1.5423	1.0732	1.0234
Glass	0.4512	0.3512	0.1526	0.1343	0.1512	0.1543
Heart	0.0252	0.0085	0.0052	0.0042	0.0084	0.0055
MNIST	0.2523	0.0835	0.0541	0.0543	0.0842	0.0643
Mushroom	2.3432	1.3141	2.8483	3.4253	0.9332	1.0023
Ionosphere	0.0556	0.0356	0.0042	0.0056	0.0053	0.0024
Pima	0.0242	0.0308	0.0201	0.0523	0.0471	0.0435
Seeds	0.092	0.0574	0.0742	0.0471	0.0407	0.0427
Sonar	0.1345	0.0945	0.0852	0.0595	0.0473	0.0425
USPS_20	0.4152	0.1933	0.212	0.1923	0.2353	0.2391
Wine	0.3152	0.0933	0.1212	0.0923	0.2135	0.0912