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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

From: Prediction of new associations between ncRNAs and diseases exploiting multi-type hierarchical clustering

  

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

  1. 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
  2. The best result is highlighted in boldface.