. Author manuscript; available in PMC: 2021 Nov 5.

Published in final edited form as: Int Conf Big Data Smart Comput. 2021 Mar 10;2021:10.1109/bigcomp51126.2021.00021. doi: 10.1109/bigcomp51126.2021.00021

TABLE II.

Results of various learning tasks for Scenario I & II.

	Loss Function	\|R_ens,in(α) − R_ridge,in(λ)\|	\|R_ens,out(α) − R_ridge,out(λ)\|	$‖ {\hat{β}}_{ens} (α ) - {\hat{β}}_{ridge} (λ ) ‖_{\infty}$
Scenario I	Least-square	0.00152	0.00006	0.00546
	Huber	0.00001	0.05360	0.04732
	Logistic	0.00025	0.00046	0.00865
	Hinge	0.09410	0.04726	0.13034
Scenario II	Least-square	0.00339	0.00006	0.00258
	Huber	0.02615	0.05867	0.02284
	Logistic	0.00117	0.00047	0.00820
	Hinge	0.09697	0.05072	0.08414