Katakis, I.; Tsoumakas, G.; Vlahavas, I. (2008). Multilabel Text Classification for Automated Tag Suggestion. In Proc. ECML PKDD08 Discovery Challenge, Antwerp, Belgium, 75-83.
bookmarks
mldr.datasets::get.mldr("bookmarks")
Summary
| Instances | 87856 |
|---|---|
| Attributes | 2358 |
| Inputs | 2150 |
| Labels | 208 |
| Labelsets | 18716 |
| Single labelsets | 14971 |
| Max frequency | 6087 |
| Cardinality | 2.0281 |
| Density | 0.0098 |
| Mean IR | 12.308 |
| SCUMBLE | 0.0597 |
| TCS | 22.8479 |
Citation
Katakis, I.; Tsoumakas, G.; Vlahavas, I. (2008). Multilabel Text Classification for Automated Tag Suggestion. In Proc. ECML PKDD08 Discovery Challenge, Antwerp, Belgium, 75-83.
@inproceedings{,
author = "Katakis, I. and Tsoumakas, G. and Vlahavas, I.",
title = "Multilabel Text Classification for Automated Tag Suggestion",
booktitle = "Proc. ECML PKDD08 Discovery Challenge, Antwerp, Belgium",
pages = "75-83",
year = "2008"
}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.