Depression Detection on TRT (test)
0.82F1 ScoreUnconstrained (BERT)
Evaluation results
| Method | Links | ||
|---|---|---|---|
| Unconstrained (BERT)Train=TRT, Number of posts=all2022.04 | 0.82 | 0.98 | |
| PHQ9PlusTrain=TRT, Number of posts=4002022.04 | 0.79 | 0.95 | |
| PHQ9 (vectors)Prompt/Train source=RSDD2022.04 | 0.79 | — | |
| PHQ9 (vectors)Train=TRT, Number of posts=4002022.04 | 0.77 | 0.96 | |
| PHQ9 (scores)Prompt/Train source=eRisk2022.04 | 0.74 | — | |
| LIWC+ngramTrain=TRT, Number of posts=all2022.04 | 0.73 | 0.79 | |
| PHQ9 (vectors)Prompt/Train source=eRisk2022.04 | 0.71 | — | |
| PHQ9 (scores)Train=TRT, Number of posts=4002022.04 | 0.64 | 0.92 | |
| PHQ9 (scores)Prompt/Train source=RSDD2022.04 | 0.64 | — | |
| GPT-3Prompt/Train source=RSDD, Few-shot=4 examples per class2022.04 | 0.59 | — | |
| PHQ9 (scores)Train=eRisk, Number of posts=4002022.04 | 0.56 | 0.9 | |
| PHQ9 (vectors)Train=eRisk, Number of posts=4002022.04 | 0.56 | 0.89 | |
| PHQ9PlusTrain=eRisk, Number of posts=4002022.04 | 0.54 | 0.84 | |
| PHQ9 (vectors)Train=RSDD, Number of posts=4002022.04 | 0.52 | 0.86 | |
| Pattern (CNN)Train=TRT, Number of posts=4002022.04 | 0.51 | 0.8 | |
| Unconstrained (BERT)Train=eRisk, Number of posts=all2022.04 | 0.5 | 0.83 | |
| PHQ9PlusTrain=RSDD, Number of posts=4002022.04 | 0.49 | 0.82 | |
| GPT-3Prompt/Train source=eRisk, Few-shot=4 examples per class2022.04 | 0.49 | — | |
| Unconstrained (BERT)Train=RSDD, Number of posts=all2022.04 | 0.47 | 0.82 | |
| Pattern (CNN)Train=eRisk, Number of posts=4002022.04 | 0.47 | 0.79 | |
| Pattern (threshold)Train=TRT, Number of posts=4002022.04 | 0.46 | — | |
| Pattern (threshold)Train=RSDD, Number of posts=4002022.04 | 0.46 | — | |
| PHQ9 (scores)Train=RSDD, Number of posts=4002022.04 | 0.46 | 0.82 | |
| Pattern (threshold)Train=eRisk, Number of posts=4002022.04 | 0.44 | — | |
| Pattern (CNN)Train=RSDD, Number of posts=4002022.04 | 0.39 | 0.79 |