R: Exploratory Data Analysis and Manipulation of Multi-Label Data Sets

# Exploratory Data Analysis and Manipulation of Multi-Label Data Sets

## Documentation for package ‘mldr’ version 0.4.3

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Code demos. Use demo() to run them.
- Package README

## Help Pages

+.mldr | Generates a new mldr object joining the rows in the two mldrs given as input
==.mldr | Checks if two mldr objects have the same structure
accuracy | Multi-label averaged evaluation metrics
Averaged metrics | Multi-label averaged evaluation metrics
average_precision | Multi-label ranking-based evaluation metrics
Basic metrics | Multi-label evaluation metrics
birds | birds
concurrenceReport | Generates a label concurrence report
coverage | Multi-label ranking-based evaluation metrics
emotions | emotions
example_auc | Multi-label ranking-based evaluation metrics
fmeasure | Multi-label averaged evaluation metrics
genbase | genbase
hamming_loss | Multi-label evaluation metrics
labelInteractions | Provides data about interactions between labels
macro_auc | Multi-label ranking-based evaluation metrics
macro_fmeasure | Multi-label averaged evaluation metrics
macro_precision | Multi-label averaged evaluation metrics
macro_recall | Multi-label averaged evaluation metrics
micro_auc | Multi-label ranking-based evaluation metrics
micro_fmeasure | Multi-label averaged evaluation metrics
micro_precision | Multi-label averaged evaluation metrics
micro_recall | Multi-label averaged evaluation metrics
mldr | Creates an object representing a multilabel dataset
mldrGUI | Launches the web-based GUI for mldr
mldr_evaluate | Evaluate predictions made by a multilabel classifier
mldr_from_dataframe | Generates an mldr object from a data.frame and a vector with label indices
mldr_to_labels | Label matrix of an MLD
mldr_transform | Transformns an MLDR into binary or multiclass datasets
one_error | Multi-label ranking-based evaluation metrics
plot.mldr | Generates graphic representations of an mldr object
precision | Multi-label averaged evaluation metrics
print.mldr | Prints the mldr content
Ranking-based metrics | Multi-label ranking-based evaluation metrics
ranking_loss | Multi-label ranking-based evaluation metrics
read.arff | Read an ARFF file
recall | Multi-label averaged evaluation metrics
remedial | Decouples highly imbalanced labels
roc | ROC curve
roc.mldr | ROC curve
subset_accuracy | Multi-label evaluation metrics
summary.mldr | Provides a summary of measures about the mldr
write_arff | Write an '"mldr"' object to a file
[.mldr | Filter rows in a'mldr' returning a new 'mldr'