Wine Classification Task
Wine data set from the UCI machine learning repository (http://archive.ics.uci.edu/dataset/109/wine). Results of a chemical analysis of three types of wines grown in the same region in Italy but derived from three different cultivars.
R6::R6Class inheriting from TaskClassif .
Original owners: Forina, M. et al, PARVUS - An Extendible Package for Data Exploration, Classification and Correlation. Institute of Pharmaceutical and Food Analysis and Technologies, Via Brigata Salerno, 16147 Genoa, Italy.
Donor: Stefan Aeberhard, email: stefan@coral.cs.jcu.edu.au
This Task can be instantiated via the dictionary mlr_tasks or with the associated sugar function tsk():
mlr_tasks$get("wine")
tsk("wine")
FALSEDua, Dheeru, Graff, Casey (2017). UCI Machine Learning Repository.
http://archive.ics.uci.edu/datasets.
Chapter in the mlr3book: https://mlr3book.mlr-org.com/chapters/chapter2/data_and_basic_modeling.html
Package list("mlr3data") for more toy tasks.
Package list("mlr3oml") for downloading tasks from https://www.openml.org.
Package list("mlr3viz") for some generic visualizations.
Dictionary of Tasks : mlr_tasks
as.data.table(mlr_tasks) for a table of available Tasks in the running session (depending on the loaded packages).
list("mlr3fselect") and list("mlr3filters") for feature selection and feature filtering.
Extension packages for additional task types:
Other Task: Task, TaskClassif, TaskRegr, TaskSupervised, TaskUnsupervised, california_housing, mlr_tasks, mlr_tasks_breast_cancer, mlr_tasks_german_credit, mlr_tasks_iris, mlr_tasks_mtcars, mlr_tasks_penguins, mlr_tasks_pima, mlr_tasks_sonar, mlr_tasks_spam, mlr_tasks_zoo
Useful links