Xu, Jianhua; Liu, Jiali; Yin, Jing; Sun, Chengyu (2016). A multi-label feature extraction algorithm via maximizing feature variance and feature-label dependence simultaneously. In Knowledge-Based Systems, 98(), 172--184.
EukaryoteGO
mldr.datasets::get.mldr("EukaryoteGO")
Summary
Instances | 7766 |
---|---|
Attributes | 12711 |
Inputs | 12689 |
Labels | 22 |
Labelsets | 112 |
Single labelsets | 37 |
Max frequency | 1580 |
Cardinality | 1.1456 |
Density | 0.0521 |
Mean IR | 45.0117 |
SCUMBLE | 0.0174 |
TCS | 17.258 |
Citation
Xu, Jianhua; Liu, Jiali; Yin, Jing; Sun, Chengyu (2016). A multi-label feature extraction algorithm via maximizing feature variance and feature-label dependence simultaneously. In Knowledge-Based Systems, 98(), 172--184.
@article{,
title={A multi-label feature extraction algorithm via maximizing feature variance and feature-label dependence simultaneously},
author={Xu, Jianhua and Liu, Jiali and Yin, Jing and Sun, Chengyu},
journal={Knowledge-Based Systems},
volume={98},
pages={172--184},
year={2016},
publisher={Elsevier}
}
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.