View Ringnorm IDA (public)
























- Summary
The Ringnorm data set from the IDA Benchmark repository.
- License
- PDDL
- Dependencies
- Tags
- IDA_Benchmark_Repository
- Attribute Types
- Download
-
# Instances: 7400 / # Attributes: 21
HDF5 (1.2 MB) XML CSV ARFF LibSVM Matlab OctaveFiles are converted on demand and the process can take up to a minute. Please wait until download begins.
- Original Data Format
- h5
- Name
- ringnorm_data
- Version mldata
- 0
- Comment
matlab
- Names
- Data (first 10 data points)
1.0 -4.49... 0.16... -0.52... -1.20... 0.66... 1.83... -0.23... 0.12... 1.04... ... 1.0 -4.16... 0.52... -1.56... 0.13... 0.48... -0.62... -0.43... -0.33... 1.10... ... 1.0 -4.04... 3.57... 0.71... -1.03... 1.36... -1.40... -2.09... -2.82... 0.38... ... 1.0 -3.80... 1.18... 0.81... -3.11... 2.03... -2.21... -0.62... 0.46... -2.10... ... 1.0 -3.79... 1.73... -1.34... -0.67... -0.30... -0.68... -2.03... -0.70... -1.08... ... 1.0 -3.78... -3.15... 0.53... 1.15... -0.14... -0.40... -1.02... -0.90... -1.25... ... 1.0 -3.75... -1.28... -1.87... 1.86... 0.17... -1.23... -0.66... -2.31... -2.24... ... 1.0 -3.61... 0.63... -1.94... -0.21... -1.51... -0.51... -1.53... 0.34... -0.28... ... 1.0 -3.61... -1.28... -3.23... -0.47... 0.61... 1.49... -0.36... -1.99... 2.47... ... 1.0 -3.54... 1.10... 0.25... 1.04... 0.78... -0.04... -1.64... -1.86... -0.18... ... ... ... ... ... ... ... ... ... ... ... ...
- Description
(No information yet)
- URLs
- http://www.ics.uci.edu/~mlearn/MLSummary.html
- Publications
- Data Source
- Measurement Details
modifications of the original data
training data has now zero mean and standard deviation one
- Usage Scenario
- revision 1
- by sonne on 2010-04-28 16:04
- revision 2
- by sonne on 2010-11-24 19:56
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Tasks defined on dataset Ringnorm IDA
- Ringnorm IDA Classification 2010-11-24 20:16
Disclaimer
We are acting in good faith to make datasets submitted for the use of the scientific community available to everybody, but if you are a copyright holder and would like us to remove a dataset please inform us and we will do it as soon as possible.
Acknowledgements
This project is supported by PASCAL (Pattern Analysis, Statistical Modelling and Computational Learning)
http://www.pascal-network.org/.