Ueda, N.; Saito, K. (2002). Parametric mixture models for multi-labeled text. In Advances in neural information processing systems, 721--728.
yahoo_recreation
mldr.datasets::get.mldr("yahoo_recreation")
Summary
Instances | 12828 |
---|---|
Attributes | 30346 |
Inputs | 30324 |
Labels | 22 |
Labelsets | 530 |
Single labelsets | 284 |
Max frequency | 1652 |
Cardinality | 1.4289 |
Density | 0.065 |
Mean IR | 12.203 |
SCUMBLE | 0.0301 |
TCS | 19.6836 |
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.