Ken Lang (1995). Newsweeder: Learning to filter netnews. In Proc. 12th International Conference on Machine Learning, 331--339.
ng20
mldr.datasets::get.mldr("ng20")
Summary
| Instances | 19300 |
|---|---|
| Attributes | 1026 |
| Inputs | 1006 |
| Labels | 20 |
| Labelsets | 55 |
| Single labelsets | 17 |
| Max frequency | 997 |
| Cardinality | 1.0289 |
| Density | 0.0514 |
| Mean IR | 1.0073 |
| SCUMBLE | 1.3178e-07 |
| TCS | 13.9168 |
Citation
Ken Lang (1995). Newsweeder: Learning to filter netnews. In Proc. 12th International Conference on Machine Learning, 331--339.
@inproceedings{,
author = "Ken Lang",
title = "Newsweeder: Learning to filter netnews",
booktitle = "Proc. 12th International Conference on Machine Learning",
pages = "331--339",
year = "1995"
}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.