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
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.
@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.