Ueda, N.; Saito, K. (2002). Parametric mixture models for multi-labeled text. In Advances in neural information processing systems, 721--728.
yahoo_entertainment
mldr.datasets::get.mldr("yahoo_entertainment")
Summary
Instances | 12730 |
---|---|
Attributes | 32022 |
Inputs | 32001 |
Labels | 21 |
Labelsets | 337 |
Single labelsets | 151 |
Max frequency | 2769 |
Cardinality | 1.4137 |
Density | 0.0673 |
Mean IR | 64.4169 |
SCUMBLE | 0.0387 |
TCS | 19.2381 |
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.