| foodtruck {utiml} | R Documentation |
Foodtruck multi-label dataset.
Description
The foodtruck multi-label dataset is a real multi-label dataset, which uses habits and personal information to predict food truck cuisines.
Usage
foodtruck
Format
A mldr object with 407 instances, 21 features and 12 labels:
Details
General Information
Cardinality: 2.28
Density: 0.19
Distinct multi-labels: 117
Number of single labelsets: 74
Max frequency: 114
Source
The dataset is described in: Rivolli A., Parker L.C., de Carvalho A.C.P.L.F. (2017) Food Truck Recommendation Using Multi-label Classification. In: Oliveira E., Gama J., Vale Z., Lopes Cardoso H. (eds) Progress in Artificial Intelligence. EPIA 2017. Lecture Notes in Computer Science, vol 10423. Springer, Cham
[Package utiml version 0.1.7 Index]