MLkNN
Reported on 2 benchmarks across 2 tasks · 1 paper · 2 SOTA
Note: results are matched by exact model name. Different papers may use the same name for different model variants.
Natural Language Processing2 results
- Hamming Loss· 2020-06-11SOTA0.1606best: 0.1097 (Neural Binary Relevance)
- Hamming Loss· 2020-06-11SOTA0.1606best: 0.1097 (Neural Binary Relevance)