Data
house_16H

house_16H

active ARFF Publicly available Visibility: public Uploaded 05-07-2022 by Leo Grin
0 likes downloaded by 0 people , 0 total downloads 0 issues 0 downvotes
  • Computer Systems Machine Learning
Issue #Downvotes for this reason By


Loading wiki
Help us complete this description Edit
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: Binarized version of the original data set (see version 1). It converts the numeric target feature to a two-class nominal target feature by computing the mean and classifying all instances with a lower target value as positive ('P') and all others as negative ('N').

17 features

binaryClass (target)nominal2 unique values
0 missing
P1numeric7289 unique values
0 missing
P5p1numeric11030 unique values
0 missing
P6p2numeric8596 unique values
0 missing
P11p4numeric12080 unique values
0 missing
P14p9numeric10761 unique values
0 missing
P15p1numeric11937 unique values
0 missing
P15p3numeric6003 unique values
0 missing
P16p2numeric10659 unique values
0 missing
P18p2numeric4846 unique values
0 missing
P27p4numeric8674 unique values
0 missing
H2p2numeric10607 unique values
0 missing
H8p2numeric7433 unique values
0 missing
H10p1numeric7687 unique values
0 missing
H13p1numeric11397 unique values
0 missing
H18pAnumeric6737 unique values
0 missing
H40p4numeric2048 unique values
0 missing

19 properties

13488
Number of instances (rows) of the dataset.
17
Number of attributes (columns) of the dataset.
2
Number of distinct values of the target attribute (if it is nominal).
0
Number of missing values in the dataset.
0
Number of instances with at least one value missing.
16
Number of numeric attributes.
1
Number of nominal attributes.
5.88
Percentage of binary attributes.
0
Percentage of instances having missing values.
0
Percentage of missing values.
1
Average class difference between consecutive instances.
94.12
Percentage of numeric attributes.
0
Number of attributes divided by the number of instances.
5.88
Percentage of nominal attributes.
50
Percentage of instances belonging to the most frequent class.
6744
Number of instances belonging to the most frequent class.
50
Percentage of instances belonging to the least frequent class.
6744
Number of instances belonging to the least frequent class.
1
Number of binary attributes.

0 tasks

Define a new task