Wine data set from the UCI machine learning repository (https://archive.ics.uci.edu/ml/datasets/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.
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”
Dua, Dheeru, Graff, Casey (2017). “UCI Machine Learning Repository.” http://archive.ics.uci.edu/ml/.
Dictionary of Tasks: mlr_tasks
as.data.table(mlr_tasks) for a complete table of all (also dynamically created) Tasks.
Other Task:
TaskClassif,
TaskRegr,
TaskSupervised,
TaskUnsupervised,
Task,
mlr_tasks_boston_housing,
mlr_tasks_breast_cancer,
mlr_tasks_german_credit,
mlr_tasks_iris,
mlr_tasks_mtcars,
mlr_tasks_pima,
mlr_tasks_sonar,
mlr_tasks_spam,
mlr_tasks_zoo,
mlr_tasks