roc.mldr

Additional parameters to be passed to the <code>pROC::roc</code> function.
See <code><a rd-options="pROC" href="/link/roc?package=mldr&version=0.4.3&to=pROC" data-mini-rdoc="pROC::roc">roc</a></code> for more information.

An <code>"mldr"</code> object. Its labels will be extracted via
<code><a rd-options="" href="/link/mldr_to_labels?package=mldr&version=0.4.3" data-mini-rdoc="mldr::mldr_to_labels">mldr_to_labels</a></code>.

mldr

Matrix of predicted labels or probabilities, columns
corresponding to labels and rows to instances.

predictions

Calculates the ROC (Receiver Operating Characteristic) curve
 for given true labels and predicted ones. The pROC package is needed for
 this functionality.

Exploratory data analysis and manipulation functions for multi-
label data sets along with an interactive Shiny application to ease their use.

David Charte

Exploratory Data Analysis and Manipulation of Multi-Label Data
Sets

Francisco Charte

Antonio J. Rivera

roc function

Additional parameters to be passed to the <code>pROC::roc</code> function.
See <code><a rd-options='pROC' href='roc'>roc</a></code> for more information.

An <code>"mldr"</code> object. Its labels will be extracted via
<code><a rd-options='' href='mldr_to_labels'>mldr_to_labels</a></code>.

roc: ROC curve

Description

Usage

Arguments

Value

See Also