[Retracted] Active Learning Query Strategies for Linear Regression Based on Efficient Global Optimization

Table 2

Percent improvements of the AUCs of the mean RMSEs, CCs, and Oppo Costs over BL (Ridge was the regression model; the best performances are in bold).

		EGO	EMCM	EGO-EMCM	QBC	EGO	GSx	EGO	RD	RD
						-QBC		-GSx		-EGO
RMSE	Mean	3.09	11.03	10.57	11.69	11.16	16.17	15.19	6.86	8.57
	std	0.65	11.12	9.92	9.77	9.97	15.27	14.45	4.63	5.81
CC	Mean	1.81	4.08	4.40	5.00	5.01	7.65	6.41	4.20	1.96
	std	2.35	3.44	3.42	3.55	3.40	2.14	1.58	−1.81	−1.88
Oppo Cost	Mean	56.04	33.75	45.48	34.58	44.68	41.97	51.72	−16.38	50.65
	std	34.73	16.99	24.37	23.07	26.83	11.68	20.07	−5.19	31.17