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Table 1 Accuracy of RankSVM with five different parameter selection methods

From: Enabling multi-level relevance feedback on PubMed by integrating rank learning into DBMS

NDCG@10

 

SVM-Light

LIBSVM

C-Selection

Rank-Selection

CV

qid 1-6

0.472788

0.471753

0.493179

0.654761

0.66833

qid 7-12

0.386431

0.390575

0.377642

0.454554

0.45718

qid 13-18

0.320041

0.320191

0.31299

0.35037

0.37794

Kendall's tau

qid 1-6

0.787682

0.786749

0.789671

0.817379

0.818743

qid 7-12

0.786614

0.786388

0.788733

0.803645

0.804825

qid 13-18

0.780289

0.779738

0.781045

0.782841

0.78917

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BMC Bioinformatics

ISSN: 1471-2105

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