Sonar Classification Task

A classification task for the mlbench::Sonar data set. Positive class is set to "M" (Mine).

Format

R6::R6Class inheriting from TaskClassif.

Dictionary

This Task can be instantiated via the dictionary mlr_tasks or with the associated sugar function tsk():

mlr_tasks$get("sonar")
tsk("sonar")

Meta Information

• Task type: “classif”

• Dimensions: 208x61

• Properties: “twoclass”

• Has Missings: FALSE

• Target: “Class”

• Features: “V1”, “V10”, “V11”, “V12”, “V13”, “V14”, “V15”, “V16”, “V17”, “V18”, “V19”, “V2”, “V20”, “V21”, “V22”, “V23”, “V24”, “V25”, “V26”, “V27”, “V28”, “V29”, “V3”, “V30”, “V31”, “V32”, “V33”, “V34”, “V35”, “V36”, “V37”, “V38”, “V39”, “V4”, “V40”, “V41”, “V42”, “V43”, “V44”, “V45”, “V46”, “V47”, “V48”, “V49”, “V5”, “V50”, “V51”, “V52”, “V53”, “V54”, “V55”, “V56”, “V57”, “V58”, “V59”, “V6”, “V60”, “V7”, “V8”, “V9”

See also

• 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_spam, mlr_tasks_wine, mlr_tasks_zoo