View uci-20070111 machine_cpu (public)

2010-11-06 09:59 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: 209 / # Attributes: 7
HDF5 (17.0 KB) XML CSV ARFF LibSVM Matlab Octave
Completeness of this item currently: 55%.
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Original Data Format
arff
Name
machine_cpu
Version mldata
0
Comment

he problem concerns Relative CPU Performance Data. More information can be obtained in the UCI Machine Learning repository (http://www.ics.uci.edu/~mlearn/MLSummary.html). The used attributes are : MYCT: machine cycle time in nanoseconds (integer) MMIN: minimum main memory in kilobytes (integer) MMAX: maximum main memory in kilobytes (integer) CACH: cache memory in kilobytes (integer) CHMIN: minimum channels in units (integer) CHMAX: maximum channels in units (integer) PRP: published relative performance (integer) (target variable)

Original source: UCI machine learning repository. Source: collection of regression datasets by Luis Torgo (ltorgo@ncc.up.pt) at http://www.ncc.up.pt/~ltorgo/Regression/DataSets.html Characteristics: 209 cases; 6 continuous variables

Names
MYCT,MMIN,MMAX,CACH,CHMIN,CHMAX,class,
Types
  1. numeric
  2. numeric
  3. numeric
  4. numeric
  5. numeric
  6. numeric
  7. numeric
Data (first 10 data points)
    MYCT MMIN MMAX CACH CHMIN CHMAX class
    125 256 6000 256 16 128 198
    29 8000 32000 32 8 32 269
    29 8000 32000 32 8 32 220
    29 8000 32000 32 8 32 172
    29 8000 16000 32 8 16 132
    26 8000 32000 64 8 32 318
    23 16000 32000 64 16 32 367
    23 16000 32000 64 16 32 489
    23 16000 64000 64 16 32 636
    23 32000 64000 128 32 64 1144
    ... ... ... ... ... ... ...
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 2010-11-06 09:59

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    Acknowledgements

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