Description

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.

Format

R6::R6Class inheriting from TaskClassif.

Construction

Meta Information

• 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”

Source

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

References

Dua, Dheeru, Graff, Casey (2017). “UCI Machine Learning Repository.” http://archive.ics.uci.edu/ml/.

See Also

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_penguins, mlr_tasks_pima, mlr_tasks_sonar, mlr_tasks_spam, mlr_tasks_zoo, mlr_tasks