Misclassification Detection on Twitter POS-annotated tweets (test)
89AUROCSoftmax Baseline
Evaluation Results
| Method | Links | |||||
|---|---|---|---|---|---|---|
| Softmax BaselineBackbone=2-layer Neural Network, Activation=GELU, Hidden layer size=256, Word vectors=Pretrained (56 million tweets), Optimizer=Adam2016.10 | 89 | 98 | 53 | 69 | 12.59 | |
| Random BaselineDescription=Random guessing baseline2016.10 | 50 | 87 | 13 | — | — |