Multi-label Text Classification on Reuters-21578
95.06Precision @1SCDV-MS
Evaluation results
| Method | Links | ||||||
|---|---|---|---|---|---|---|---|
| SCDV-MS2019.11 | 95.06 | 37.56 | 50.2 | 5.87 | 94.21 | 82.71 | |
| SCDV2019.11 | 94 | 37.05 | 49.6 | 6.65 | 93.34 | 81.77 | |
| BERT (pr)2019.11 | 93.8 | 37 | 49.6 | 6.3 | 93.1 | 81.9 | |
| R-SCDV-MS2019.11 | 93.56 | 37 | 49.47 | 6.74 | 92.96 | 81.94 | |
| Doc2VecC2019.11 | 93.45 | 36.86 | 49.28 | 6.83 | 92.66 | 81.29 | |
| pmeans2019.11 | 93.29 | 36.65 | 48.95 | 7.66 | 91.72 | 77.81 | |
| BoWV2019.11 | 92.9 | 36.14 | 48.55 | 8.16 | 91.46 | 79.16 | |
| TWE-12019.11 | 90.91 | 35.49 | 47.54 | 8.16 | 91.46 | 79.16 | |
| tfidf AvgVec2019.11 | 89.33 | 35.04 | 46.83 | 9.42 | 87.9 | 71.97 | |
| PV DBOW2019.11 | 88.78 | 34.51 | 46.42 | 11.28 | 87.43 | 73.68 | |
| PV DM2019.11 | 87.54 | 33.24 | 44.21 | 13.15 | 86.21 | 70.24 |