Summary

The German data set from the IDA Benchmark repository.

License

PDDL

Dependencies

Tags

IDA_Benchmark_Repository

Attribute Types

Download

# Instances: 1000 / # Attributes: 20
HDF5 (174.6 KB) XML CSV ARFF LibSVM Matlab Octave

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Original Data Format

h5

Name

german_data

Version mldata

0

Comment

matlab

Names

Data (first 10 data points)

1.0	-1.25...	-1.23...	-1.42...	-0.02...	-0.73...	-0.69...	1.33...	0.91...	-0.96...	...
-1.0	-1.25...	-1.23...	-0.50...	-0.17...	-0.92...	-0.69...	-1.14...	0.02...	0.44...	...
-1.0	-1.25...	-1.23...	-0.50...	-0.17...	-0.73...	-0.06...	1.33...	0.02...	0.44...	...
-1.0	-1.25...	-1.23...	-0.50...	-0.17...	-0.67...	1.83...	-1.97...	0.91...	-0.96...	...
1.0	-1.25...	-1.23...	-0.50...	-0.17...	4.11...	-0.69...	1.33...	-1.76...	0.44...	...
-1.0	-1.25...	-1.23...	-0.50...	-0.15...	-0.67...	0.56...	-1.97...	-1.76...	-0.96...	...
-1.0	-1.25...	-1.23...	-0.50...	-0.12...	-1.00...	-0.69...	1.33...	-0.86...	-0.96...	...
-1.0	-1.25...	-1.23...	-0.50...	-0.12...	-0.67...	-0.69...	-0.31...	-1.76...	0.44...	...
-1.0	-1.25...	-1.23...	-0.50...	-0.10...	-0.22...	0.56...	-0.31...	-0.86...	0.44...	...
-1.0	-1.25...	-1.23...	-0.50...	-0.07...	-1.03...	-0.69...	-1.14...	0.91...	-0.96...	...
...	...	...	...	...	...	...	...	...	...	...

Description

(No information yet)

URLs

http://www.ics.uci.edu/~mlearn/MLSummary.html

Publications

• @techreport{RaeOnoMue98b, author = {G.~R{"a}tsch and T.~Onoda and K.-R.~M{"u}ller}, title = "Soft Margins for {A}da{B}oost", institution = {Department of Computer Science, Royal Holloway, University of London}, month = aug, year = {1998}, address = {Egham, UK}, number = {NC-TR-1998-021}, note = "Submitted to Machine Learning.", url = "http://www.first.gmd.de/~raetsch/Neurocolt_Margin.ps.gz", }

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 15:56

revision 2

by sonne on 2011-09-14 15:17

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Tasks defined on dataset German IDA

• German IDA Classification 2010-11-24 20:19