california_housing: California Housing Dataset

In ppforest2: Projection Pursuit Oblique Decision Trees and Random Forests

California Housing Dataset

Description

Median house values and demographic/geographic predictors for 20,433 California block groups, derived from the 1990 US Census. Classic regression benchmark. Originally released by Pace & Barry (1997); this version drops the categorical 'ocean_proximity' column (to keep the bundled schema all-numeric, matching the rest of the package's datasets) and removes rows with missing 'total_bedrooms'. The regression target, 'median_house_value', is the last column.

Usage

data(california_housing)

Format

A data frame with 20,433 rows and 9 variables.

Details

longitude

Longitude of the block group (degrees, negative = west).

latitude

Latitude of the block group (degrees).

housing_median_age

Median age of houses in the block group (years).

total_rooms

Total number of rooms.

total_bedrooms

Total number of bedrooms.

population

Block group population.

households

Number of households.

median_income

Median household income (tens of thousands of USD).

median_house_value

Regression target: median house value (USD).

Source

Pace, R.K. and Barry, R. (1997) Sparse spatial autoregressions. Statistics & Probability Letters, 33, 291-297.

ppforest2 documentation built on July 21, 2026, 9:07 a.m.