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unknown (from LibSVMTools repository)

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Tags

libsvm LibSVMTools slurped

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# Instances: 72 / # Attributes: 7130
HDF5 (3.9 MB) XML CSV ARFF LibSVM Matlab Octave

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Original Data Format

libsvm

Name

leukemia

Version mldata

0

Comment

LibSVM

Names

Data (first 10 data points)

1	-1.46...	-0.64...	-0.83...	-1.47...	-0.91...	-1.58...	0.71...	-0.54...	1.05...	...
1	-0.66...	0.20...	-0.36...	0.25...	-0.47...	-0.35...	-1.11...	-0.29...	-0.37...	...
1	-0.20...	0.37...	-2.38...	0.43...	-1.22...	-1.76...	0.10...	-1.80...	0.49...	...
1	-0.25...	0.27...	1.83...	-1.62...	-1.28...	-1.26...	0.76...	-0.61...	-0.31...	...
1	-0.56...	-0.39...	-0.98...	-0.83...	-0.41...	0.14...	-0.03...	-0.10...	-0.75...	...
1	0.36...	1.20...	1.89...	-0.45...	0.36...	-0.47...	0.67...	0.58...	0.63...	...
1	0.55...	0.35...	1.83...	-0.92...	-0.82...	-0.75...	0.77...	0.29...	0.66...	...
1	-2.14...	-0.61...	0.32...	-1.39...	-1.80...	-2.17...	-0.63...	-1.92...	0.22...	...
1	-0.05...	-0.73...	-0.12...	-0.55...	-0.49...	-1.35...	-0.21...	-0.77...	-1.61...	...
1	0.32...	0.57...	0.43...	0.42...	0.59...	0.93...	1.41...	0.43...	0.99...	...
...	...	...	...	...	...	...	...	...	...	...

Description

Preprocessing: Merge training/testing. Instance-wise normalization to mean zero and variance one. Then feature-wise normalization to mean zero and variance one. [SKS03a] # of classes: 2# of data: 38 / 34 (testing) # of features: 7129

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Data Source

ref.html#TG99a TG99a]

Measurement Details

Usage Scenario

revision 1

by mldata on 2010-11-01 11:38

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