This section describes main characteristics of the house data set and its attributes:
General information
House-16H data set |
Type | Regression | Origin | Real world |
Features | 16 | (Real / Integer / Nominal) | (10 / 6 / 0) |
Instances | 22784 | Missing values? | No |
Attribute description
Attribute | Domain | Attribute | Domain |
P1 | [2,7322564] | P18p2 | [0,0.125] |
P5p1 | [0.125,0.9230769] | P27p4 | [0,0.7057357] |
P6p2 | [0,1] | H2p2 | [0,0.9751773] |
P11p4 | [0,0.9172546] | H8p2 | [0,1] |
P14p9 | [0,0.5118719] | H10p1 | [0.0032573,1] |
P15p1 | [0.0541562,1] | H13p1 | [0,1] |
P15p3 | [0,0.9433249] | H18pA | [0,1] |
P16p2 | [0.2337023,1] | H40p4 | [0,1] |
Price | [0,500001] |
Additional information
This database was designed on the basis of data provided by US Census Bureau. The data were collected as part of the 1990 US census. These are mostly counts cumulated at different survey levels.
The task is to predicting the median price of the house in the region based on demographic composition and a state of housing market in the region.
In this section you can download some files related to the house data set:
- The complete data set already formatted in KEEL format can be downloaded from
here.
- A copy of the data set already partitioned by means of a 5-folds cross validation procedure can be downloaded from here.
- The header file associated to this data set can be downloaded from here.
- This is not a native data set from the KEEL project. It has been obtained from the Bilkent University Function Approximation Repository. The original page where the data set can be found is: http://funapp.cs.bilkent.edu.tr/DataSets/.
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