Table 4.

AUTPR@k, AUROC and AUPR values for the dataset ID, obtained with the best configuration (α=0.1,β=0.4) at different levels of the hierarchy

		AUTPR@k	AUPR	AUROC
LP-HCLUS-NoLP		0.024087	0.000150	0.525501
ncPred		0.015365	0.000087	0.521975
LP-HCLUS AVG	Level 1	0.024335	0.000198	0.532059
	Level 2	0.013660	0.000080	0.519290
	Level 3	0.005883	0.000024	0.510396
LP-HCLUS MAX	Level 1	0.070639	0.001218	0.567991
	Level 2	0.054821	0.000780	0.554388
	Level 3	0.055141	0.000756	0.551873
LP-HCLUS MIN	Level 1	0.005451	0.000010	0.504690
	Level 2	0.000474	0.000000	0.500490
	Level 3	0.000305	0.000000	0.500154
LP-HCLUS EC	Level 1	0.004609	0.000010	0.506366
	Level 2	0.005605	0.000013	0.505695
	Level 3	0.005353	0.000010	0.505862
HOCCLUS2 AVG	Level 1	0.002246	0.000087	0.502169
	Level 2	0.002553	0.000006	0.502843
	Level 3	0.000885	0.000001	0.501328
HOCCLUS2 MAX	Level 1	0.002238	0.000087	0.502169
	Level 2	0.002659	0.000005	0.502676
	Level 3	0.000973	0.000001	0.500826
HOCCLUS2 MIN	Level 1	0.002247	0.000087	0.502169
	Level 2	0.002553	0.000006	0.502843
	Level 3	0.000885	0.000001	0.501328
HOCCLUS2 EC	Level 1	0.002763	0.000015	0.502337
	Level 2	0.002320	0.000008	0.501835
	Level 3	0.003533	0.000007	0.503683

The results in terms of AUPR and AUROC values can only be used for relative comparison and not as absolute evaluation measures because they are spoiled by the assumption made on unknown associations, that are considered as negative examples

The best result is highlighted in boldface.