Table VII.

Performance comparison of five competing algorithms for the gene expression pattern images annotation (10 CV terms) in terms of average AUC (top section), Macro F1 (middle section), and Micro F1 (bottom section). All parameters of the six methods are tuned via cross-validation, and the reported performance is averaged over five random repetitions. Note that n, d, and m denote the sample size, dimensionality, and term (task) number, respectively.

Stage Range (n, d, m)		4 ~ 6 (925, 2000, 10)	7 ~ 8 (797, 2000, 10)	9 ~ 10 (919 , 2000 , 10 )	11 ~ 12 (1622, 2000, 10)	13 ~ 16 (2228, 2000, 10)
Avg. AUC	MixedNorm	75.44 ± 0.87	75.55 ± 0.42	77.18 ± 0.50	83.82 ± 0.93	85.54 ± 0.25
	OneNorm	74.98 ± 0.12	73.80 ± 0.55	75.80 ± 0.24	82.78 ± 0.27	84.77 ± 0.20
	TraceNorm	73.04 ± 0.79	74.06 ± 0.46	76.71 ± 0.72	81.77 ± 1.10	83.64 ± 0.27
	IndSVM	71.00 ± 0.53	72.13 ± 0.70	73.58 ± 0.48	79.01 ± 0.58	82.06 ± 1.04
	RidgeReg	72.46 ± 0.15	72.51 ± 0.82	73.10 ± 0.38	80.83 ± 0.67	82.02 ± 0.15
Mac. F1	MixedNorm	43.71 ± 0.32	48.31 ± 0.56	53.11 ± 0.56	61.11 ± 0.58	61.81 ± 0.40
	OneNorm	42.24 ± 0.14	47.40 ± 0.23	51.04 ± 0.10	59.36 ± 0.60	61.02 ± 0.10
	TraceNorm	41.38 ± 0.36	46.51 ± 0.67	51.13 ± 0.95	61.05 ± 0.78	60.15 ± 0.45
	IndSVM	40.88 ± 0.49	46.73 ± 0.51	50.28 ± 0.65	59.82 ± 0.83	59.62 ± 0.94
	RidgeReg	41.65 ± 0.45	46.91 ± 0.94	50.69 ± 0.77	59.46 ± 0.95	60.59 ± 0.79
Mic. F1	MixedNorm	46.98 ± 0.90	62.73 ± 0.93	63.46 ± 0.07	69.31 ± 0.37	67.13 ± 0.41
	OneNorm	44.55 ± 0.38	60.02 ± 0.56	61.78 ± 0.10	68.54 ± 0.17	66.30 ± 0.55
	TraceNorm	43.88 ± 0.73	61.29 ± 0.78	61.33 ± 1.04	68.68 ± 0.27	66.37 ± 0.26
	IndSVM	42.05 ± 0.61	60.09 ± 0.78	60.57 ± 0.75	67.08 ± 0.99	65.95 ± 0.80
	RidgeReg	43.63 ± 0.41	59.95 ± 0.75	60.59 ± 0.66	66.87 ± 0.11	65.67 ± 1.10