View SensIT Vehicle (acoustic)_scale (public)
























- Summary
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- License
- unknown (from LibSVMTools repository)
- Dependencies
- Tags
- libsvm LibSVMTools slurped
- Attribute Types
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# Instances: 98528 / # Attributes: 51
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- Original Data Format
- libsvm
- Name
- sensit-vehicle-acoustic_scale
- Version mldata
- 0
- Comment
LibSVM
- Names
- Data (first 10 data points)
2 -0.80... -0.35... -0.49... -0.83... -0.81... -0.85... -0.97... -0.89... -0.97... ... 3 -0.46... 0.00... -0.64... -0.96... -0.92... -0.96... -0.95... -0.95... -0.98... ... 3 -0.93... -0.98... -0.92... -0.98... 0.14... -0.87... -0.99... -0.86... -0.77... ... 2 -0.99... -0.98... -0.91... -0.85... -0.82... -0.90... -0.87... -0.76... -0.94... ... 2 -0.83... -0.96... -0.98... -0.77... 0.14... -0.86... -0.97... -0.98... -0.93... ... 1 -0.99... -0.98... -0.99... -0.83... -0.93... -0.79... -0.93... -0.84... -0.60... ... 3 -0.98... -0.82... -0.82... -0.92... -0.88... -0.40... -0.92... -0.81... -0.89... ... 2 -0.99... -0.98... -0.97... -0.91... 0.44... -0.89... -0.93... -0.98... -0.98... ... 3 -0.98... -0.91... -0.70... -0.89... -0.94... -0.50... -0.98... -0.72... -0.93... ... 1 -0.99... -0.99... -0.96... -0.60... -0.72... -0.94... -0.89... -0.96... -0.84... ... ... ... ... ... ... ... ... ... ... ... ...
- 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: 50
- 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 11:47
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Acknowledgements
This project is supported by PASCAL (Pattern Analysis, Statistical Modelling and Computational Learning)
http://www.pascal-network.org/.