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. 2011 Jun 14;27(13):i61–i68. doi: 10.1093/bioinformatics/btr249

Table 5.

Comparison of models built on different libraries for SAS threshold of 3.5 Å

λ1 400 (12) 600 (10) 600 (9) 250 (7) 200 (6) 100 (5)
0 0.76 0.76 0.76 0.74 0.69 0.72
0.1 0.77 0.77 0.77 0.75 0.7 0.72
0.2 0.78 0.77 0.77 0.75 0.71 0.72
0.3 0.78 0.78 0.78 0.76 0.72 0.73
0.4 0.79 0.78 0.79 0.76 0.73 0.73
0.5 0.79 0.79 0.79 0.76 0.74 0.73
0.6 0.79 0.8 0.8 0.77 0.75 0.74
0.7 0.8 0.8 0.8 0.77 0.75 0.74
0.8 0.8 0.8 0.8 0.78 0.76 0.74
0.9 0.79 0.79 0.8 0.77 0.76 0.75
1 0.77 0.77 0.78 0.76 0.76 0.74

Here each library is denoted as X(Y), where X is the number of fragments in the library, each of length Y. The ranking performance of a given multi-viewpoint IR model for a given library is given in terms of AUC. The multi-viewpoint model contains LDA model with weight λ1 and TF vector space model with weight 1 − λ1.