View simu-data-test (public)

2011-09-14 16:23 by hzahn | Version 4 | Rating Whole StarWhole StarWhole Star1/2 StarEmpty Star
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Summary

Simulated data for testing the site

License
PDDL
Dependencies
Tags
test
Attribute Types
Download
# Instances: 100 / # Attributes: 9
HDF5 (15.2 KB) XML CSV ARFF LibSVM Matlab Octave
Completeness of this item currently: 100%.
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Original Data Format
csv
Name
simu-data-test
Version mldata
0
Comment

CSV

Names
"V1","V2","V3","V4","V5","V6","V7","V8","V9",
Data (first 10 data points)
    "V1" "V2" "V3" "V4" "V5" "V6" "V7" "V8" "V9"
    0.75... -1.87... -0.52... 0.0 1.0 4.0 3.0 3.0 3.0
    1.17... -0.94... -0.88... 0.0 1.0 3.0 2.0 4.0 0.0
    -1.57... 1.98... 1.37... 1.0 0.0 1.0 4.0 2.0 2.0
    -4.14... 0.89... 1.19... 1.0 0.0 2.0 1.0 3.0 3.0
    0.37... -1.57... -0.27... 0.0 1.0 3.0 1.0 0.0 2.0
    -3.72... 2.00... 1.67... 1.0 0.0 4.0 4.0 1.0 2.0
    0.94... -2.02... -2.17... 0.0 1.0 2.0 3.0 2.0 1.0
    1.77... -1.88... -1.07... 0.0 1.0 0.0 4.0 3.0 1.0
    -0.60... 0.80... -0.52... 0.0 0.0 3.0 2.0 2.0 0.0
    2.31... -0.69... 1.13... 1.0 1.0 4.0 3.0 2.0 2.0
    ... ... ... ... ... ... ... ... ...
Description

This is a simple simulated dataset used to test various features of the site.

URLs
http://www.example.com
Publications
  • Sherrie L. W and Zijian Zheng. [HTML_REMOVED]http://rexa.info/paper/edc7361f3edbcbb2421477d257bf1305834c5c61[HTML_REMOVED] A BENCHMARK FOR CLASSIFIER LEARNING. Basser Department of Computer Science The University of Sydney.

  • Kristin P. Bennett and Ayhan Demiriz and John Shawe-Taylor. [HTML_REMOVED]http://rexa.info/paper/94cf84d5a454c97d326efdb24b2b96e0eac25c33[HTML_REMOVED] A Column Generation Algorithm For Boosting. ICML. 2000.

  • Perry Moerland. [HTML_REMOVED]http://rexa.info/paper/aac8eec290538d2a1731b2b4f92c6bf401a3df8a[HTML_REMOVED] A Comparison of Mixture Models for Density Estimation. IDIAP.

Data Source
Using the random number generator in R.
Measurement Details

Nothing to report here. Synthetic dataset.

Usage Scenario

The dataset might be used for classification (e.g. predicting one of the two binary variables) or regression (predicting one of the 3 continuous variables)

revision 1
by phoyer on 2010-11-06 11:23
revision 2
by phoyer on 2010-11-16 15:15
revision 3
by hzahn on 2010-11-16 15:16
revision 4
by hzahn on 2011-09-14 16:23
phoyer (2010-11-06 11:59):

Just added the data. Everything working very well so far...

phoyer (2010-11-06 12:09):

Added another comment.

phoyer (2010-11-06 12:12):

Yet another comment.

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Acknowledgements

This project is supported by PASCAL (Pattern Analysis, Statistical Modelling and Computational Learning)
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