Globality-Locality Preserving Maximum Variance Extreme Learning Machine

Table 3

Average (sum average recognition rate of different training samples per subject) recognition rate of different ELM algorithms on the UCI datasets (%).

Dataset	ELM	MCVELM	GELM	RDELM	GLELM
	Average	Average	Average	Average	Average
Iris	97.93	81.94	97.43	97.63	98.37
Wine	96.97	91.82	95.44	96.31	97.69
Segment	87.75	90.39	92.54	90.36	94.26
Glass	87.13	89.16	88.28	86.82	91.93
Banknote	99.74	99.55	99.68	99.65	99.96
Pima	59.77	60.60	62.46	60.82	66.93
Average	88.21	85.57	89.31	88.56	91.52