Table II.

Average performance (with standard derivation) comparison of eight competing algorithms on three data sets in terms of average AUC (top section), Macro F1 (middle section), and Micro F1 (bottom section). All parameters of the eight methods are tuned via cross-validation, and the reported performance is averaged over five random repetitions.

Data (n, d, m)		Scene (2407, 294, 6)	Yeast (2417, 103, 14)	References (7929, 26397, 15)
Average AUC	MixedNorm	91.602 ± 0.374	79.871 ± 0.438	77.526 ± 0.285
	MTRL	90.821 ± 0.512	78.437 ± 0.610	75.133 ± 0.410
	MTL(Ω&Σ)	90.217 ± 1.139	78.515 ± 0.393	76.249 ± 0.277
	TraceNorm	90.205 ± 0.374	76.877 ± 0.127	71.259 ± 0.129
	ASO	86.258 ± 0.981	64.519 ± 0.633	75.960 ± 0.104
	OneNorm	87.846 ± 0.193	65.602 ± 0.842	75.444 ± 0.074
	IndSVM	84.056 ± 0.010	64.601 ± 0.056	73.882 ± 0.244
	RidgeReg	85.209 ± 0.246	65.491 ± 1.160	74.781 ± 0.556
Macro F1	MixedNorm	60.602 ± 1.383	55.624 ± 0.621	37.135 ± 0.229
	MTRL	58.873 ± 0.814	53.913 ± 0.785	36.492 ± 0.575
	MTL(Ω&Σ)	59.212 ± 0.671	54.854 ± 0.803	36.218 ± 0.157
	TraceNorm	57.692 ± 0.480	52.400 ± 0.623	35.562 ± 0.278
	ASO	56.819 ± 0.214	45.599 ± 0.081	34.462 ± 0.315
	OneNorm	55.061 ± 0.801	42.023 ± 0.120	36.579 ± 0.157
	IndSVM	54.253 ± 0.078	38.507 ± 0.576	31.207 ± 0.416
	RidgeReg	53.281 ± 0.949	42.315 ± 0.625	32.724 ± 0.190
Micro F1	MixedNorm	64.392 ± 0.876	56.495 ± 0.190	59.408 ± 0.344
	MTRL	63.958 ± 0.324	55.127 ± 0.922	58.112 ± 0.322
	MTL(Ω&Σ)	63.219 ± 0.769	54.235 ± 0.318	58.118 ± 1.246
	TraceNorm	61.172 ± 0.838	54.172 ± 0.879	57.497 ± 0.130
	ASO	59.015 ± 0.124	45.952 ± 0.011	55.406 ± 0.198
	OneNorm	59.951 ± 0.072	47.558 ± 1.695	58.798 ± 0.166
	IndSVM	57.450 ± 0.322	52.094 ± 0.297	54.875 ± 0.185
	RidgeReg	56.012 ± 0.144	46.743 ± 0.625	53.713 ± 0.213