Summary

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License

unknown (from Weka repository)

Dependencies

Tags

arff slurped Weka

Attribute Types

Floating Point

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# Instances: 22784 / # Attributes: 17
HDF5 (3.0 MB) XML CSV ARFF LibSVM Matlab Octave

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Original Data Format

arff

Name

house_16H

Version mldata

0

Comment

This database was designed on the basis of data provided by US Census Bureau http://www.census.gov. 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.

Names

P1,P5p1,P6p2,P11p4,P14p9,P15p1,P15p3,P16p2,P18p2,P27p4,

Types

1. numeric
2. numeric
3. numeric
4. numeric
5. numeric
6. numeric
7. numeric
8. numeric
9. numeric
10. numeric

Data (first 10 data points)

P1	P5p1	P6p2	P11p4	P14p9	P15p1	P15p3	P16p2	P18p2	P27p4	...
1551...	0.46...	0.04...	0.22...	0.14...	0.75...	0.01...	0.57...	0.00...	0.07...	...
1550.0	0.47...	0.00...	0.13...	0.09...	0.86...	0.0	0.69...	0.00...	0.04...	...
4741.0	0.48...	0.00...	0.18...	0.13...	0.85...	0.0	0.68...	0.00...	0.02...	...
467.0	0.49...	0.0	0.10...	0.08...	0.90...	0.0	0.78...	0.00...	0.01...	...
310.0	0.47...	0.68...	0.22...	0.12...	0.89...	0.0	0.75...	0.00...	0.01...	...
461.0	0.47...	0.08...	0.13...	0.09...	0.92...	0.0	0.79...	0.0	0.00...	...
723.0	0.50...	0.0	0.12...	0.10...	0.86...	0.0	0.72...	0.01...	0.07...	...
7572...	0.46...	0.29...	0.16...	0.12...	0.79...	0.00...	0.61...	0.00...	0.06...	...
2949.0	0.46...	0.00...	0.18...	0.13...	0.82...	0.01...	0.67...	0.00...	0.04...	...
4490.0	0.50...	0.00...	0.05...	0.03...	0.95...	0.00...	0.88...	0.00...	0.03...	...
...	...	...	...	...	...	...	...	...	...	...

Description

A gzip'ed tar containing UCI and UCI KDD datasets (uci-20070111.tar.gz, 17,952,832 Bytes)

URLs

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Publications

Data Source

http://www.ics.uci.edu/~mlearn/MLRepository.html http://kdd.ics.uci.edu/

Measurement Details

Usage Scenario

revision 1

by mldata on 2010-11-06 09:59

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