Text Classification on RCV1
97.05Precision@1NLP-Cap
Evaluation results
| Method | Links | ||||||
|---|---|---|---|---|---|---|---|
| NLP-Cap2019.06 | 97.05 | 81.27 | 56.33 | 97.05 | 92.47 | 93.11 | |
| XML-CNN2019.06 | 96.86 | 81.11 | 56.07 | 96.88 | 92.22 | 92.63 | |
| Cap-Zhao2019.06 | 96.63 | 81.02 | 56.12 | 96.63 | 92.31 | 92.75 | |
| Bow-CNN2019.06 | 96.4 | 81.17 | 56.74 | 96.4 | 92.04 | 92.89 | |
| FastText2019.06 | 95.4 | 79.96 | 55.64 | 95.4 | 90.95 | 91.68 | |
| PD-Sparse2019.06 | 95.16 | 79.46 | 55.61 | 95.16 | 90.29 | 91.29 | |
| FastXML2019.06 | 94.62 | 78.4 | 54.82 | 94.62 | 89.21 | 90.27 | |
| CNN-Kim2019.06 | 93.54 | 76.15 | 52.94 | 93.54 | 87.26 | 88.2 |