Wisconsin Breast Cancer Classification Task
Source:R/TaskClassif_breast_cancer.R
mlr_tasks_breast_cancer.Rd
A classification task for the mlbench::BreastCancer data set.
Column
"Id"
has been removed.Column names have been converted to
snake_case
.Positive class is set to
"malignant"
.16 incomplete cases have been removed from the data set.
All factor features have been converted to ordered factors.
Format
R6::R6Class inheriting from TaskClassif.
Dictionary
This Task can be instantiated via the dictionary mlr_tasks or with the associated sugar function tsk()
:
Meta Information
Task type: “classif”
Dimensions: 683x10
Properties: “twoclass”
Has Missings:
FALSE
Target: “class”
Features: “bare_nuclei”, “bl_cromatin”, “cell_shape”, “cell_size”, “cl_thickness”, “epith_c_size”, “marg_adhesion”, “mitoses”, “normal_nucleoli”
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/.
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TaskClassif
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california_housing
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