TABLE III.

Root Mean Squared Error of Prediction Under Varying Noise Level (σ = 10, 15, 20), Number of Response Variables (q = 2, 6), and Response Pairwise Correlation (ρ = 0, 0.9). Reported are the Mean RMSE and Standard Error (in Parenthesis) Based on 50 Data Replications

Signals	Parameter			Root mean squared error
	q	ρ	σ	Multi-Resp	Uni-Resp	Vectorized
Cross & Triangle	2	0	10	0.424 (0.004)	0.427 (0.003)	0.999 (0.005)
			15	0.655 (0.005)	0.711 (0.007)	1.000 (0.005)
			20	0.837 (0.006)	0.963 (0.008)	1.002 (0.005)
		0.9	10	0.421 (0.004)	0.431 (0.004)	1.002 (0.005)
			15	0.673 (0.006)	0.713 (0.007)	1.005 (0.005)
			20	0.886 (0.009)	0.960 (0.011)	1.007 (0.006)
Cross & Triangle	6	0	10	0.411 (0.002)	0.429 (0.002)	0.976 (0.004)
			15	0.682 (0.003)	0.720 (0.004)	0.989 (0.004)
			20	0.805 (0.003)	0.967 (0.005)	0.995 (0.003)
		0.9	10	0.450 (0.004)	0.429 (0.004)	0.982 (0.005)
			15	0.700 (0.006)	0.777 (0.009)	0.999 (0.005)
			20	0.833 (0.007)	0.966 (0.009)	1.009 (0.006)