Summary

(No information yet)

License

unknown (from Weka repository)

Dependencies

Tags

arff slurped Weka

Attribute Types

Floating Point

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# Instances: 8192 / # Attributes: 33
HDF5 (2.1 MB) XML CSV ARFF LibSVM Matlab Octave

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Original Data Format

arff

Name

bank32nh

Version mldata

0

Comment

A family of datasets synthetically generated from a simulation of how bank-customers choose their banks. Tasks are based on predicting the fraction of bank customers who leave the bank because of full queues. The bank family of datasets are generated from a simplistic simulator, which simulates the queues in a series of banks. The simulator was constructed with the explicit purpose of generating a family of datasets for DELVE. Customers come from several residential areas, choose their preferred bank depending on distances and have tasks of varying complexity, and various levels of patience. Each bank has several queues, that open and close according to demand. The tellers have various effectivities, and customers may change queue, if their patience expires. In the rej prototasks, the object is to predict the rate of rejections, ie the fraction of customers that are turned away from the bank because all the open tellers have full queues.

Names

a1cx,a1cy,a1sx,a1sy,a1rho,a1pop,a2cx,a2cy,a2sx,a2sy,

Types

1. numeric
2. numeric
3. numeric
4. numeric
5. numeric
6. numeric
7. numeric
8. numeric
9. numeric
10. numeric

Data (first 10 data points)

a1cx	a1cy	a1sx	a1sy	a1rho	a1pop	a2cx	a2cy	a2sx	a2sy	...
0.41...	0.60...	0.33...	0.40...	-0.15...	1.52...	-0.14...	0.85...	0.41...	1.72...	...
-0.60...	0.35...	0.42...	0.41...	-0.12...	4.59...	0.57...	0.65...	0.10...	0.63...	...
-0.32...	-0.53...	1.60...	0.03...	0.19...	1.90...	-0.67...	0.96...	0.14...	1.41...	...
-0.23...	-0.93...	1.71...	2.17...	0.43...	4.74...	-0.16...	-0.92...	0.59...	0.11...	...
0.40...	0.31...	0.82...	1.39...	0.25...	9.39...	0.31...	0.28...	0.43...	0.11...	...
-0.01...	0.22...	0.03...	0.29...	-0.47...	3.76...	-0.79...	0.16...	0.42...	0.01...	...
0.3457	0.65...	0.00...	0.04...	0.24...	1.47...	0.31...	-0.01...	0.87...	1.05...	...
0.19...	0.95...	0.84...	1.25...	0.46...	1.09...	-0.31...	-0.11...	1.10...	0.04...	...
0.23...	-0.39...	0.31...	2.95...	0.12...	6.11...	-0.99...	-0.73...	0.79...	1.34...	...
-0.33...	-0.40...	1.01...	0.67...	-0.24...	7.53...	-0.80...	-0.00...	0.32...	2.46...	...
...	...	...	...	...	...	...	...	...	...	...

Description

A gzip'ed tar containing UCI and UCI KDD datasets (uci-20070111.tar.gz, 17,952,832 Bytes)

URLs

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Publications

Data Source

http://www.ics.uci.edu/~mlearn/MLRepository.html http://kdd.ics.uci.edu/

Measurement Details

Usage Scenario

revision 1

by mldata on 2010-11-06 09:59

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