Table 3.

AUTPR@k, AUROC and AUPR values for the dataset HMDD, obtained with the best configuration (α=0.2,β=0.4) at different levels of the hierarchy

		AUTPR@k	AUPR	AUROC
LP-HCLUS-NoLP		0.000000	0.000000	0.496169
ncPred		0.087370	0.007540	0.584268
LP-HCLUS AVG	Level 1	0.042658	0.005437	0.523872
	Level 2	0.056392	0.003140	0.548665
	Level 3	0.020129	0.000469	0.515470
LP-HCLUS MAX	Level 1	0.088130	0.010865	0.568056
	Level 2	0.109292	0.013420	0.585560
	Level 3	0.104244	0.011983	0.580824
LP-HCLUS MIN	Level 1	0.031888	0.001935	0.519936
	Level 2	0.032765	0.001232	0.524077
	Level 3	0.011012	0.000170	0.505846
LP-HCLUS EC	Level 1	0.005626	0.000035	0.501872
	Level 2	0.004851	0.000030	0.500943
	Level 3	0.006493	0.000050	0.502762
HOCCLUS2 AVG	Level 1	0.018339	0.000839	0.511722
	Level 2	0.016484	0.000670	0.509663
	Level 3	0.012082	0.000287	0.507020
HOCCLUS2 MAX	Level 1	0.018332	0.000829	0.510398
	Level 2	0.016065	0.000659	0.508897
	Level 3	0.011150	0.000274	0.506331
HOCCLUS2 MIN	Level 1	0.015922	0.000753	0.509336
	Level 2	0.016401	0.000668	0.509542
	Level 3	0.011647	0.000270	0.506575
HOCCLUS2 EC	Level 1	0.013922	0.000536	0.507314
	Level 2	0.013717	0.000352	0.507112
	Level 3	0.013065	0.000253	0.507751

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.