houses
OpenML dataset with id 44138
Author name not available (Why is that?)
Full work available at URL: https://api.openml.org/data/v1/download/22103263/houses.arff
Upload date: 5 July 2022
Dataset Characteristics
Number of classes: 0
Number of features: 9 (numeric: 9, symbolic: 0 and in total binary: 0 )
Number of instances: 20,640
Number of instances with missing values: 0
Number of missing values: 0
Dataset used in the tabular data benchmark https://github.com/LeoGrin/tabular-benchmark, transformed in the same way. This dataset belongs to the "regression on numerical features" benchmark. Original description:
Author: Source: Unknown - Date unknown Please cite:
S&P Letters Data We collected information on the variables using all the block groups in California from the 1990 Census. In this sample a block group on average includes 1425.5 individuals living in a geographically compact area. Naturally, the geographical area included varies inversely with the population density. We computed distances among the centroids of each block group as measured in latitude and longitude. We excluded all the block groups reporting zero entries for the independent and dependent variables. The final data contained 20,640 observations on 9 variables. The dependent variable is ln(median house value).
Bols tols INTERCEPT 11.4939 275.7518 MEDIAN INCOME 0.4790 45.7768 MEDIAN INCOME2 -0.0166 -9.4841 MEDIAN INCOME3 -0.0002 -1.9157 ln(MEDIAN AGE) 0.1570 33.6123 ln(TOTAL ROOMS/ POPULATION) -0.8582 -56.1280 ln(BEDROOMS/ POPULATION) 0.8043 38.0685 ln(POPULATION/ HOUSEHOLDS) -0.4077 -20.8762 ln(HOUSEHOLDS) 0.0477 13.0792
The file cadata.txt contains all th
This page was built for dataset: houses
