An Incremental Optimal Weight Learning Machine of Single-Layer Neural Networks

Table 2

Comparison of average testing RMSE/accuracy and Student’s -test for the data sets between OWLM-GHNIL and EM-ELM.

Data sets	OWLM-GHNIL		EM-ELM		-Test
	RMSE/accuracy	Std.	RMSE/accuracy	Std.	value
Delta Ailerons	0.0583	0.0058	0.1023	0.0081	0.003627
Delta Elevators	0.0896	0.0063	0.1423	0.0154	0.025436
California Housing	0.1841	0.0032	0.2321	0.0045	0.000048
Computer activity	0.0467	0.0021	0.0392	0.0018	0.628794
Bank domains	0.0212	0.0043	0.0611	0.0032	0.007694
COLL20	91.25%	0.0332	86.33%	0.0537	0.000000
G50C	85.31%	0.0553	87.23%	0.0463	0.065632
USPST(B)	90.45%	0.0158	85.21%	0.0547	0.000000
Satimage	88.15%	0.0368	85.37%	0.0446	0.007625