View uci-20070111 bank8FM (public)

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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: 9
HDF5 (587.5 KB) XML CSV ARFF LibSVM Matlab Octave

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Original Data Format
arff
Name
bank8FM
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,b2x,b2y,a2pop,a3pop,temp,mxql,rej,
Types
  1. numeric
  2. numeric
  3. numeric
  4. numeric
  5. numeric
  6. numeric
  7. numeric
  8. numeric
  9. numeric
Data (first 10 data points)
    a1cx a1cy b2x b2y a2pop a3pop temp mxql rej
    -0.10... -0.19... -0.38... 0.25... 7.18... 15.1... 0.67... 8.0 0.65...
    0.37... -0.42... 0.2895 0.23... 2.02... 2.85... 0.56... 5.0 0.14...
    0.38... 0.10... -0.04... -0.14... 4.07... 3.61... 0.12... 6.0 0.26...
    0.31... -0.13... 0.08... 0.03... 0.36... 1.06... 0.80... 8.0 0.00...
    0.00... 0.29... 0.00... -0.45... 0.07... 0.96... 0.18... 7.0 0.00...
    0.36... 0.36... -0.20... 0.17... 9.93... 1.86... 0.81... 6.0 0.38...
    -0.09... -0.39... 0.04... -0.44... 1.73... 4.0203 0.84... 6.0 0.11...
    0.33... 0.48... 0.38... -0.29... 1.48... 5.08... 0.33... 5.0 0.24...
    0.10... -0.04... -0.15... 0.26... 4.42... 0.74... 0.72... 7.0 0.06...
    0.35... 0.08... 0.14... -0.36... 0.02... 1.07... 0.71... 8.0 0.0
    ... ... ... ... ... ... ... ... ...
Description

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

URLs
(No information yet)
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 2011-09-14 15:25

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    Acknowledgements

    This project is supported by PASCAL (Pattern Analysis, Statistical Modelling and Computational Learning)
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