View datasets-arie_ben_david ESL (public)

2010-11-06 10:00 by mldata | Version 1 | Rating Empty StarEmpty StarEmpty StarEmpty StarEmpty StarEmpty Star
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Summary

(No information yet)

License
unknown (from Weka repository)
Dependencies
Tags
arff slurped Weka
Attribute Types
Integer
Download
# Instances: 488 / # Attributes: 5
HDF5 (21.1 KB) XML CSV ARFF LibSVM Matlab Octave
Completeness of this item currently: 55%.
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Original Data Format
arff
Name
ESL
Version mldata
0
Comment
  1. Title: Employee Selection (Ordinal ESL)

  2. Source Informaion: Donor: Arie Ben David MIS, Dept. of Technology Management Holon Academic Inst. of Technology 52 Golomb St. Holon 58102 Israel abendav@hait.ac.il Owner: Yoav Ganzah Business Administration School Tel Aviv Univerity Ramat Aviv 69978 Israel

  3. Past Usage:

  4. Relevant Information The ESL data set contains 488 profiles of applicants for certain industrial jobs. Expert psychologists of a recruiting company, based upon psychometric test results and interviews with the candidates, determined the values of the input attributes. The output is the an overall score corresponding to the degree of fitness of the candidate to this type of job.

  5. Number of Instances: 488

  6. Number of Attributes: 4 input, 1 output.

  7. Attribute Information: All input and output values are ORDINAL.

  8. Missing Attribute Values: None.

  9. Class Distribution:

Names
in1,in2,in3,in4,out1,
Types
  1. numeric
  2. numeric
  3. numeric
  4. numeric
  5. numeric
Data (first 10 data points)
    in1 in2 in3 in4 out1
    6 5 6 6 6
    5 4 5 5 5
    5 3 4 5 4
    6 5 6 7 6
    4 3 3 5 3
    9 6 6 6 6
    5 5 5 5 4
    5 3 2 2 2
    5 5 5 5 5
    5 4 6 6 6
    ... ... ... ... ...
Description

A gzip'ed tar containing ordinal, real-world datasets donated by Dr. Arie Ben David (Holon Inst. of Technology/Israel) (datasets-arie_ben_david.tar.gz, 11,348 Bytes)

URLs
(No information yet)
Publications
    Data Source
    http://www.hait.ac.il/staff/select_e.asp?p=Ben-David&q=Arie http://www.hait.ac.il/
    Measurement Details
    Usage Scenario
    revision 1
    by mldata on 2010-11-06 10:00

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    Acknowledgements

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