Read, J.; Pfahringer, B.; Holmes, G.; Frank, E. (2011). Classifier chains for multi-label classification. In Machine Learning, 85(), 333--359.
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Summary
Instances | 3782 |
---|---|
Attributes | 1101 |
Inputs | 1079 |
Labels | 22 |
Labelsets | 156 |
Single labelsets | 56 |
Max frequency | 525 |
Cardinality | 1.1809 |
Density | 0.0537 |
Mean IR | 17.6931 |
SCUMBLE | 0.0131 |
TCS | 15.1247 |
Citation
Read, J.; Pfahringer, B.; Holmes, G.; Frank, E. (2011). Classifier chains for multi-label classification. In Machine Learning, 85(), 333--359.
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.