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

Table 3

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

Data sets	OWLM-GHNIL		I-ELM		-Test
	RMSE/accuracy	Std.	RMSE/accuracy	Std.	-value
Delta Ailerons	0.0583	0.0058	0.1364	0.0223	0.000493
Delta Elevators	0.0896	0.0063	0.2265	0.0196	0.003743
California Housing	0.1841	0.0032	0.4365	0.0223	0.000000
Computer activity	0.0467	0.0021	0.0733	0.0072	0.065475
Bank domains	0.0212	0.0043	0.1128	0.0341	0.000000
COLL20	91.25%	0.0332	78.04%	0.0663	0.000000
G50C	85.31%	0.0553	76.45%	0.0772	0.000482
USPST(B)	90.45%	0.0158	84.33%	0.0472	0.000000
Satimage	88.15%	0.0368	80.33%	0.0682	0.001356