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house_16H - MaRDI portal

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house_16H

From MaRDI portal
Dataset:6037173



OpenML44139MaRDI QIDQ6037173

OpenML dataset with id 44139

Author name not available (Why is that?)

Full work available at URL: https://api.openml.org/data/v1/download/22103264/house_16H.arff

Upload date: 5 July 2022



Dataset Characteristics

Number of classes: 0
Number of features: 17 (numeric: 17, symbolic: 0 and in total binary: 0 )
Number of instances: 22,784
Number of instances with missing values: 0
Number of missing values: 0

Description

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:

This database was designed on the basis of data provided by US Census Bureau [1] (under Lookup Access [2]: Summary Tape File 1). The data were collected as part of the 1990 US census. These are mostly counts cumulated at different survey levels. For the purpose of this data set a level State-Place was used. Data from all states was obtained. Most of the counts were changed into appropriate proportions. There are 4 different data sets obtained from this database: House(8H) House(8L) House(16H) House(16L) These are all concerned with predicting the median price of the house in the region based on demographic composition and a state of housing market in the region. A number in the name signifies the number of attributes of the data set. A following letter denotes a very rough approximation to the difficulty of the task. For Low task difficulty, more correlated attributes were chosen as signified by univariate smooth fit of that input on the target. Tasks with High difficulty have had their attributes chosen to make the modelling more difficult due to higher variance or lower correlation of the inputs to the target.

Original source: DELVE repository of data. Source: collection of regression datasets by Luis Torgo (ltorgo@ncc.up.pt) at http://www.ncc.up.pt/~ltorgo/Regression/DataSets.html Characteristics: 22784 cases, 17 continuous attributes.






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