eurlexsm_tra {mldr.datasets}

List with 10 folds of the train data from the EUR-Lex subject matters dataset

Description

Multilabel dataset from the text domain.

Usage

eurlexsm_tra(...)

Arguments

...

Additional options for the loading function (e.g. download.dir)

Format

An mldr object with 17413 instances, 5000 attributes and 201 labels

Source

Mencia, E. L. and Furnkranz, J., "Efficient pairwise multilabel classification for large-scale problems in the legal domain", Machine Learning and Knowledge Discovery in Databases, pp. 50–65, 2008

Examples

## Not run: 
eurlexsm_tra <- eurlexsm_tra()  # Check and load the dataset
toBibtex(eurlexsm_tra[[1]])
eurlexsm_tra[[1]]$measures

## End(Not run)