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Table 9 Comparison of the average AUC, precision at 20% recall (P20R) and precision at 40% recall between multi-species and single-species approaches with 301 species of bacteria

From: Think globally and solve locally: secondary memory-based network learning for automated multi-species function prediction

Multi-species approach
Algorithm AUC P20R P40R
RW - 1 step 0.8744 0.2264 0.1673
RW - 2 steps 0.8590 0.1318 0.0893
RW - 3 steps 0.8419 0.1064 0.0713
Single-species approach
Algorithm AUC P20R P40R
RW - 1 step 0.8263 0.1801 0.1176
RW - 2 steps 0.8146 0.1059 0.0647
RW - 3 steps 0.8179 0.1009 0.0563