mlr_tasks_wine | R Documentation |
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.
This Task can be instantiated via the dictionary mlr_tasks or with the associated sugar function tsk()
:
mlr_tasks$get("wine") tsk("wine")
Task type: “classif”
Dimensions: 178x14
Properties: “multiclass”
Has Missings: FALSE
Target: “type”
Features: “alcalinity”, “alcohol”, “ash”, “color”, “dilution”, “flavanoids”, “hue”, “magnesium”, “malic”, “nonflavanoids”, “phenols”, “proanthocyanins”, “proline”
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
Dua, 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 mlr3data for more toy tasks.
Package mlr3oml for downloading tasks from https://www.openml.org.
Package 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).
mlr3fselect and mlr3filters for feature selection and feature filtering.
Extension packages for additional task types:
Unsupervised clustering: mlr3cluster
Probabilistic supervised regression and survival analysis: https://mlr3proba.mlr-org.com/.
Other Task:
Task
,
TaskClassif
,
TaskRegr
,
TaskSupervised
,
TaskUnsupervised
,
mlr_tasks
,
mlr_tasks_boston_housing
,
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
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