Ueda, N.; Saito, K. (2002). Parametric mixture models for multi-labeled text. In Advances in neural information processing systems, 721--728.
yahoo_health
mldr.datasets::get.mldr("yahoo_health")
Summary
Instances | 9205 |
---|---|
Attributes | 30637 |
Inputs | 30605 |
Labels | 32 |
Labelsets | 335 |
Single labelsets | 169 |
Max frequency | 2832 |
Cardinality | 1.6441 |
Density | 0.0514 |
Mean IR | 653.5306 |
SCUMBLE | 0.092 |
TCS | 19.6088 |
Citation
Ueda, N.; Saito, K. (2002). Parametric mixture models for multi-labeled text. In Advances in neural information processing systems, 721--728.
@inproceedings{,
title="Parametric mixture models for multi-labeled text",
author="Ueda, N. and Saito, K.",
booktitle="Advances in neural information processing systems",
pages="721--728",
year="2002"
}
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.