Table 2.
Evaluation results for multiple drug-drug interaction relation predictions (×100 for Hits@k).
| Framework | Raw | Filter | |||||||
|
|
Hits@1a | Hits@5 | Hits@10 | MeanRankb | Hits@1 | Hits@5 | Hits@10 | MeanRank | |
| Tiresias | 14.23 | 33.18 | 50.61 | 21.89 | 19.21 | 45.29 | 52.94 | 17.93 | |
| SCNNc | 12.19 | 26.31 | 39.02 | 37.91 | 16.82 | 27.03 | 40.78 | 37.06 | |
| MDDPd | 20.95 | 58.66 | 79.48 | 13.53 | 43.19 | 68.57 | 84.12 | 7.85 | |
| TransE | 26.61 | 70.23 | 83.97 | 8.01 | 57.88 | 79.99 | 87.27 | 7.02 | |
| TransR | 31.33 | 75.80 | 87.63 | 6.89 | 69.58 | 84.01 | 89.01 | 6.25 | |
| PRDe | 45.11 | 85.57 | 91.01 | 6.11 | 75.11 | 88.60 | 92.85 | 5.45 | |
aHits@x: accuracy of real values contained in the top x rank.
bMeanRank: the average rank of all correct relations.
cSCNN: Syntax Convolutional Neural Network.
dMDDP: multitask dyadic drug-drug interaction prediction.
ePRD: Predicting Rich Drug-Drug Interaction.