nuswide_VLAD

mldr.datasets::get.mldr("nuswide_VLAD")

Select your download

Partitions: select your desired partitioning strategy, validation and format

Random Stratified Iterative stratified
Hold out MULAN MEKA LibSVM KEEL mldr MULAN MEKA LibSVM KEEL mldr MULAN MEKA LibSVM KEEL mldr
2x5-fold cross validation MULAN MEKA LibSVM KEEL mldr MULAN MEKA LibSVM KEEL mldr MULAN MEKA LibSVM KEEL mldr
10-fold cross validation MULAN MEKA LibSVM KEEL mldr MULAN MEKA LibSVM KEEL mldr MULAN MEKA LibSVM KEEL mldr

Summary

Instances 269648
Attributes 210
Inputs 129
Labels 81
Labelsets 18430
Single labelsets 11378
Max frequency 60301
Cardinality 1.8685
Density 0.0231
Mean IR 95.1187
SCUMBLE 0.171
TCS 19.076

Citation

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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.