Readability Assessment on OneStopE (test)
99AccuracyRoBERTa-RF-T1
Evaluation Results
| Method | Links | |||||
|---|---|---|---|---|---|---|
| RoBERTa-RF-T1Backbone=RoBERTa, Classifier=Random Forest, Feature Set=T1, Mode=Hybrid2021.09 | 99 | 99.5 | 99.5 | 99.6 | 99.6 | |
| BERT-GB-T1Backbone=BERT, Classifier=XGBoost, Feature Set=T1, Mode=Hybrid2021.09 | 98.2 | 98.2 | 98.3 | 98.2 | 97.3 | |
| BART-RF-T1Backbone=BART, Classifier=Random Forest, Feature Set=T1, Mode=Hybrid2021.09 | 97.1 | 97.1 | 97.2 | 97.1 | 95.2 | |
| XLNet-RF-P3Backbone=XLNet, Classifier=Random Forest, Feature Set=P3, Mode=Hybrid2021.09 | 84.8 | 84.8 | 85.2 | 84.8 | 85.5 | |
| Mar-21 (HAN)Model=HAN2021.09 | 78.7 | 79.8 | 78.7 | 78.9 | 82.5 | |
| Mar-21 (BERT)Model=BERT2021.09 | 67.4 | 74 | 67.4 | 67.7 | 70.8 |