foodtruck: Foodtruck multi-label dataset.

Description Usage Format Details Source

Description

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

Usage

1

Format

A mldr object with 407 instances, 21 features and 12 labels:

Details

General Information

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


utiml documentation built on May 31, 2021, 9:09 a.m.