View statlib-20050214 backache (public)























- Summary
(No information yet)
- License
- unknown (from Weka repository)
- Dependencies
- Tags
- arff slurped Weka
- Attribute Types
- Integer,Floating Point
- Download
-
# Instances: 180 / # Attributes: 33
HDF5 (37.6 KB) XML CSV ARFF LibSVM Matlab OctaveFiles are converted on demand and the process can take up to a minute. Please wait until download begins.
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- Original Data Format
- arff
- Name
- backache
- Version mldata
- 0
- Comment
Data file: This data from "Problem-Solving" on "backache in pregnancy" is in somewhat different format from that listed in the book. Each integer is preceded by a space. This makes it easier to read. Each line is split in two separated by an ampersand. Each line also has a full stop (or period) at the end of each line which should be removed. If you have any queries, please contact me. Chris Chatfield. cc@maths.bath.ac.uk
Information about the dataset CLASSTYPE: nominal CLASSINDEX: last
- Names
- id,col_2,col_3,col_4,col_5,col_6,col_7,col_8,col_9,col_10,
- Types
- numeric
- nominal:0,1,2,3
- nominal:0,1,2,3,4,5,6,7,8,9
- numeric
- numeric
- numeric
- numeric
- numeric
- nominal:0,1,2,3,4,5,6,7
- nominal:0,1,2,3,4
- Data (first 10 data points)
id col_2 col_3 col_4 col_5 col_6 col_7 col_8 col_9 col_10 ... 1 1 0 26 1.52 54.5 75.0 3.35 0 1 ... 2 3 0 23 1.6 59.1 68.6 2.22 1 2 ... 3 2 6 24 1.57 73.2 82.7 4.15 0 1 ... 4 1 8 22 1.52 41.4 47.3 2.81 0 1 ... 5 1 0 27 1.6 55.5 60.0 3.75 1 2 ... 6 1 7 32 1.75 70.5 85.5 4.01 2 4 ... 7 1 0 24 1.73 76.4 89.1 3.41 0 1 ... 8 1 8 25 1.63 70.0 85.0 4.01 1 1 ... 9 2 6 20 1.55 52.3 59.5 3.69 1 4 ... 10 2 8 18 1.63 83.2 90.9 3.3 0 1 ... ... ... ... ... ... ... ... ... ... ... ...
- Description
A gzip'ed tar containing StatLib datasets (statlib-20050214.tar.gz, 12,785,582 Bytes)
- URLs
- (No information yet)
- Publications
- Data Source
- http://lib.stat.cmu.edu/datasets/
- Measurement Details
- Usage Scenario
- revision 1
- by mldata on 2011-09-14 14:45
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Acknowledgements
This project is supported by PASCAL (Pattern Analysis, Statistical Modelling and Computational Learning)
http://www.pascal-network.org/.
