Table 3.
Average scores for the AUPR, AUC, and ranking position for all comparison methods across all benchmark datasets
| Methods | BLM-NII | KronRLS | RLS-WNN | NRLMF | DNILMF | DDR | TriModel | DTiGEMS+ |
|---|---|---|---|---|---|---|---|---|
| Average AUPR | 0.68 | 0.73 | 0.76 | 0.80 | 0.78 | 0.87 | 0.88 | 0.92 |
| Average AUC | 0.92 | 0.90 | 0.96 | 0.95 | 0.95 | 0.96 | 0.98 | 0.99 |
| Average of the ranking position across all datasets | 8 | 7 | 6 | 4 | 5 | 3 | 2 | 1 |
We rounded-off all results to two decimal places. The italic font with underline indicates the best result in each category, while the italic font only indicates the second-best result