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2010-11-01 11:49 by mldata | Version 1 | Rating

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Summary: (No information yet)
License: unknown (from LibSVMTools repository)
Dependencies
Tags: libsvm LibSVMTools slurped
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Download: # Instances: 98528 / # Attributes: 101
HDF5 (75.9 MB) XML CSV ARFF LibSVM Matlab Octave
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Original Data Format

libsvm

Name

sensit-vehicle-combined_scale

Version mldata

Comment

LibSVM

Names

Data (first 10 data points)

2	-0.81...	-0.88...	-0.98...	-0.98...	0.14...	-0.99...	-0.97...	-0.98...	-0.98...	...
3	-0.78...	-0.60...	-0.07...	-0.60...	-0.86...	-0.92...	-0.96...	-0.92...	-0.94...	...
2	-0.99...	-0.75...	-0.93...	-0.98...	-0.82...	0.42...	-0.95...	-0.99...	-0.98...	...
3	-0.52...	-0.36...	-0.38...	-0.86...	-0.84...	-0.98...	-0.85...	-0.98...	-0.98...	...
1	-0.99...	-0.98...	-0.97...	-0.16...	-0.65...	-0.91...	-0.91...	-0.58...	-0.92...	...
2	-0.99...	-0.96...	-0.72...	-0.53...	-0.81...	-0.89...	-0.79...	-0.56...	-0.96...	...
2	-0.99...	-0.98...	-0.98...	-0.96...	0.58...	-0.97...	-0.98...	-0.94...	-0.99...	...
2	-0.94...	-0.34...	-0.72...	-0.91...	-0.72...	-0.73...	-0.95...	-0.94...	-0.99...	...
3	-0.52...	-0.86...	-0.70...	-0.32...	-0.69...	-0.96...	-0.94...	-0.99...	-0.79...	...
3	-0.87...	-0.69...	-0.98...	-0.86...	0.50...	-0.99...	-0.99...	-0.98...	-0.99...	...
...	...	...	...	...	...	...	...	...	...	...

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

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Data Source

http://www.ece.wisc.edu/~sensit/ Sensit [ ref.html#MD04a MD04a]

Measurement Details

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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/.