Read, Jesse (2010). Scalable multi-label classification.
reutersk500
mldr.datasets::get.mldr("reutersk500")
Summary
| Instances | 6000 |
|---|---|
| Attributes | 603 |
| Inputs | 500 |
| Labels | 103 |
| Labelsets | 811 |
| Single labelsets | 513 |
| Max frequency | 381 |
| Cardinality | 1.4622 |
| Density | 0.0142 |
| Mean IR | 51.9805 |
| SCUMBLE | 0.0517 |
| TCS | 17.5476 |
Citation
Read, Jesse (2010). Scalable multi-label classification.
@phdthesis{,
title="Scalable multi-label classification",
author="Read, Jesse",
year="2010",
school="University of Waikato"
}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.