View SensIT Vehicle (combined) (public)
- Summary
(No information yet)
- License
- unknown (from LibSVMTools repository)
- Dependencies
- Tags
- libsvm LibSVMTools slurped
- Attribute Types
- Download
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# Instances: 98528 / # Attributes: 101
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- Original Data Format
- libsvm
- Name
- sensit-vehicle-combined
- Version mldata
- 0
- Comment
LibSVM
- Names
- Data (first 10 data points)
3 -0.02... -0.02... -0.02... -0.02... -0.01... 0.01... 1.0 0.03... -0.01... ... 1 -0.13... -0.09... -0.13... 0.57... -0.07... 0.02... 0.09... 1.0 0.61... ... 3 0.13... 0.13... 0.52... 1.0 0.83... 0.65... -0.04... 0.09... 0.01... ... 3 0.71... 0.78... 0.19... 0.22... 0.56... 0.19... 1.0 0.78... -0.02... ... 2 0.19... 0.30... 0.13... 0.80... 1.0 0.09... -0.00... 0.35... 0.28... ... 3 1.0 0.31... 0.00... 0.21... 0.00... 0.47... 0.00... -0.03... -0.04... ... 2 -0.02... -0.02... -0.01... 0.02... 1.0 0.05... -0.00... -0.02... -0.02... ... 2 0.00... -0.00... 0.01... 0.06... 1.0 0.02... -0.00... -0.02... 0.01... ... 3 0.08... 0.07... 0.24... 0.07... -0.03... -0.00... -0.02... -0.02... 1.0 ... 1 -0.02... -0.02... -0.00... -0.02... -0.00... 0.00... 0.04... 1.0 0.01... ... ... ... ... ... ... ... ... ... ... ... ...
- Description
Preprocessing: Regenerate features by the authors' matlab scripts (see Sec. C of Appendix A), then randomly select 10% instances from the noise class so that the class proportion is 1:1:2 (AAV:DW:noise). The training/testing sets are from a random 80% and 20% split of the data. [MD04a] # of classes: 3# of data: 78,823 / 19,705 (testing) # of features: 100
- URLs
- (No information yet)
- Publications
- Data Source
- http://www.ece.wisc.edu/~sensit/ Sensit [ ref.html#MD04a MD04a]
- Measurement Details
- Usage Scenario
- revision 1
- by mldata on 2010-11-01 11:49
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Acknowledgements
This project is supported by PASCAL (Pattern Analysis, Statistical Modelling and Computational Learning)
http://www.pascal-network.org/.