Table 2.
Feature comparison—performance of SVM over all versus common ADRs
| Feature set | ADR_All | ADR_50+ | ||||||
| AUC | ACC | Precision | Recall | AUC | ACC | Precision | Recall | |
| Chem | 0.9054 | 0.9538 | 0.4337 | 0.4925 | 0.7659 | 0.8268 | 0.4539 | 0.5569 |
| Bio | 0.9069 | 0.9543 | 0.4324 | 0.5043 | 0.7729 | 0.8287 | 0.4666 | 0.5521 |
| Pheno | 0.9542 | 0.9678 | 0.6607 | 0.6460 | 0.9175 | 0.8891 | 0.6933 | 0.7142 |
| Chem+bio | 0.9098 | 0.9551 | 0.4623 | 0.5008 | 0.7849 | 0.8327 | 0.4776 | 0.5728 |
| Chem+pheno | 0.9526 | 0.9669 | 0.6488 | 0.6443 | 0.9141 | 0.8857 | 0.6757 | 0.7215 |
| Chem+bio+pheno | 0.9524 | 0.9669 | 0.6617 | 0.6306 | 0.9138 | 0.8856 | 0.6750 | 0.7227 |
ADR_All considers all ADRs and ADR_50+ are the common ADRs caused by at least 50 drugs. All AUC, ACC, Precision, and Recall are micro-averages across ADRs in the corresponding dataset.
ACC, accuracy; ADR, adverse drug reaction; AUC, area under the receiver operating characteristic curve; Bio, biological property; Chem, chemical structure; Pheno, phenotypic property; SVM, support vector machine.