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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

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

  

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

  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.
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BMC Bioinformatics

ISSN: 1471-2105

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