foodtruck

<p>The foodtruck multi-label dataset is a real multi-label dataset, which uses
habits and personal information to predict food truck cuisines.</p>

datasets

Multi-label learning strategies and others procedures to support multi-
label classification in R. The package provides a set of multi-label procedures such as
sampling methods, transformation strategies, threshold functions, pre-processing
techniques and evaluation metrics. A complete overview of the matter can be seen in
Zhang, M. and Zhou, Z. (2014) <doi:10.1109/TKDE.2013.39> and Gibaja, E. and
Ventura, S. (2015) A Tutorial on Multi-label Learning.

Adriano Rivolli

utiml

Utilities for Multi-Label Learning

foodtruck function

<p>A mldr object with 407 instances, 21 features and 12 labels:</p>

foodtruck: Foodtruck multi-label dataset.

Description

Usage

Arguments

Format

Details