Bhatia, Kush; Jain, Himanshu; Kar, Purushottam; Varma, Manik; Jain, Prateek (2015). Sparse local embeddings for extreme multi-label classification. In Advances in neural information processing systems, 730--738.
Wiki10-31K
mldr.datasets::get.mldr("Wiki10-31K")
Summary
| Instances | 20762 |
|---|---|
| Attributes | 132876 |
| Inputs | 101938 |
| Labels | 30938 |
| Labelsets | 20693 |
| Single labelsets | 20625 |
| Max frequency | 3 |
| Cardinality | 18.7616 |
| Density | 0.0006 |
| Mean IR | 5341.8088 |
| SCUMBLE | 0.8387 |
| TCS | 31.8094 |
Citation
@inproceedings{,
title={Sparse local embeddings for extreme multi-label classification},
author={Bhatia, Kush and Jain, Himanshu and Kar, Purushottam and Varma, Manik and Jain, Prateek},
booktitle={Advances in neural information processing systems},
pages={730--738},
year={2015}
}Concurrence plot
In this concurrence plot, sectors represent labels and links between them depict label co-occurrences. SCUMBLE is a measure designed to assess the concurrence among imbalanced labels.