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SVM classification using different data sources
| Data source | AUC |
|---|---|
| AmiGO |
0.886 |
| BioCyc |
0.807 |
| CDD |
0.876 |
| GenNav |
0.940 |
| InterPro |
0.883 |
| Kegg |
0.795 |
| Kegg (pathways) |
0.815 |
| Pdb |
0.875 |
| TigrFam | 0.872 |
Above are results by source, when empty graphs (query graphs with no returned results) are excluded from training and testing; the scores are thus those of each source given data from that source was available.
