Median House Value in California

A regression task to predict the median house value in California.

Contains 9 features and 20640 observations. Target column is "median_house_value".

Format

R6::R6Class inheriting from TaskRegr.

Source

https://www.kaggle.com/datasets/camnugent/california-housing-prices

Construction

mlr_tasks$get("california_housing")
tsk("california_housing")

Meta Information

• Task type: “regr”

• Dimensions: 20640x10

• Properties: -

• Has Missings: TRUE

• Target: “median_house_value”

• Features: “households”, “housing_median_age”, “latitude”, “longitude”, “median_income”, “ocean_proximity”, “population”, “total_bedrooms”, “total_rooms”

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_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_wine, mlr_tasks_zoo