Read, Jesse (2010). Scalable multi-label classification.
langlog
mldr.datasets::get.mldr("langlog")
Summary
| Instances | 1460 |
|---|---|
| Attributes | 1079 |
| Inputs | 1004 |
| Labels | 75 |
| Labelsets | 304 |
| Single labelsets | 189 |
| Max frequency | 207 |
| Cardinality | 1.1801 |
| Density | 0.0157 |
| Mean IR | 39.2669 |
| SCUMBLE | 0.051 |
| TCS | 16.9463 |
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.